Programme Details

Master of Science Mathematics

  • Bangalore Central Campus
  • Open From : 08-Dec-2023
  • Open Until : 14-Apr-2024


The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

Overview

 

MSc in Mathematics is a two-year programme spreading over four semesters that aims at developing mathematical ability in students with acute and abstract reasoning. The programme will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.

 

The program offers a proficient education in Mathematics, including a strong foundation in core concepts and the flexibility to specialize in specific areas. Training on mathematical software and the inclusion of skill enhancement courses, as well as opportunities for research projects, ensures that students are prepared for a wide range of opportunities in both academia and industry. The specialization courses allow students to explore deeper into specific areas of Mathematics and its applications, preparing them for advanced research and industry opportunities. The program is offered through Lectures, Seminars, Workshops, Group Discussions, and talks by experts.

Why choose this course?

  • A blend of and applied pure courses

  • Enhancement of analytical, problem-solving, and communication skills

  • Exposure to Mathematical Software

  • Research Exposure: internships and projects

  • Community engagement

  • Multiple career options: Teaching, Research and Industry

What you will learn?

 
  • Deeper understanding of core Mathematics
  • Computational and programming skills
  • Research Methodology
  • Teaching Techniques and communication skills
  • Service Learning
  • Leadership and team-building skills
  • Industry-based internship
  • Scientific documentation
  • R&D in Mathematics
  • Meaningful societal engagement and Personal, inter-personal and professional skills

Modules

 
  • Abstract Algebra
  • Real Analysis
  • Ordinary Differential Equations
  • Linear Algebra

Semester 1

  • Discrete Mathematics
  • Introductory course on Python Programming
  • Research Methodology
  • SPSS and Microsoft Excel
 
 
  • Complex Analysis
  • General Topology
  • Graph Theory
  • Partial Differential Equations

Semester 2

  • Introductory Fluid Mechanics
  • Principles of Data Science
  • Computational Statistics
  • Teaching Technology and Service learning
  • Journal Club /Current Affairs
 
 
  • Measure Theory and Lebesgue Integration
  • Numerical Analysis
  • Differential Geometry
  • Calculus of Variations

Semester 3

  • Convex Optimization
  • Artificial intelligence & Machine Learning
  • Advanced Fluid Mechanics
  • Advanced Graph Theory
  • Numerical Linear Algebra
  • Internship
  • Teaching Practice
 
 
  • Classical Mechanics
  • Functional Analysis
  • Number Theory and Cryptography
  • Neural Networks and Deep Learning

Semester 4

  • Analytic Number Theory
  • Programming for Data Science in R
  • Project
  • Advanced Analysis
  • Algebraic Graph theory
  • Computational Fluid Dynamics
 

Career prospects

 
  • Teacher
  • Researcher
  • Data Analyst
  • Content Developer
  • Operations Research analyst
  • Game Analyst
  • Cryptographer
  • Modeling Engineer
  • Computational Fluid Dynamic Modeler 
  • Meteorologist

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

Candidates falling under any of the below mentioned categories must apply under the International Student Category: 
1. Foreign citizens,
2. PIO card holders and
3. OCI (Dual Citizens)

International students coming from Non-English speaking countries should:
a) produce evidence of passing the qualifying examination in English medium or
b) have IELTS 6.0 with no sub-score below 5.5 or TOEFL (paper) 550, TOEFL (computer) of 213 or TOEFL (IBT) of 79 scores

Candidates without the above pre-qualifications will have to enroll either for
a) Intensive Certificate course in English Language (Full Time) conducted from March to May each year or
b) One Semester Certificate course in English Language (Part Time) conducted after regular class hours from June to December.

Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.

Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the Admission committee is final.
Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the option to apply for any programme at Christ University.
a) Online Application form

Email ID for any clarifications: isc.admission@christuniversity.in

 

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

Students who fall under any of the following classifications, at the time of application may apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the course.

1. NRI defined under the Indian Income Tax Law
2. Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
3. Indian citizen financed by any Institution /  agency outside India, even if parents are Residents of India.
4. Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India.
5. Indian citizen pursued studies for qualifying examination in foreign syllabi in India.


Note: If only condition 5 is satisfied, and not conditions 1 to 4 above,NRI student category fee will be applicable only for the first year.


For email queries:  nri.admission@christuniversity.in

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

Applicants may apply for the programme from 8th December 2023. applications will be available online on the University website till the date applications will officially close.

Applications for each programme will close approximately a week before the scheduled selection process.

All applicants must visit the page: https://appstat.christuniversity.in and register by entering NAME (as printed on Class 10 Marks Card), EMAIL-ID, and set a password.  (The email id and mobile number provided will be used for sending confirmation and application status-update messages). An applicant can apply for as many programmes using the same ID as long as the prescribed eligibility criteria for the specific programme is fulfilled.

Applicants must have the following documents prior to fill the application online:

a) Copy of statement of marks of Class 10, Class 12, and Degree Marks Cards (whichever is available years’/semesters marks card) (Mandatory).

b) Applicants applying For PGDIE Programme must have a Copy of statement of marks of Class 10, Class 12, Degree Marks Cards, BEd Marks Card and work experience letter (Joining Letter) if applying with work experience (Mandatory).

c) Fill-in all the details in the “detailed application” page. Scan and upload a recent passport-size photograph (3.5 cms x 4.5 cms formal dress with white background) and click “Submit”. On clicking Submit, a viewable and editable page will appear on the screen. In case you need to make any corrections; you may edit the data/details and then click “Confirm Submission”.

d) Make payment using the Card/UPI/Net Banking and after successful payment click on submit. A 9 (Nine) digit Application number will be generated. If unable to print the application form due to system/power/internet failure, log on to https://appstat.christuniversity.in, under the “Application Status” page enter the registered Email-ID and password to view and print the application form. (After payment if you do not receive the 9 (Nine) digit application number, then your application process is incomplete and payment will go in for the refund process. The refund will take about 15 days and must be checked with your bank).

Important

Candidates falling under any of these categories (PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) must send the required supporting documents (Copy of Passport, Copy of PIO / OCI card whichever is applicable, and a Copy of Class 10, Class 12 and Undergraduate Degree Marks Card (if result awaited, marks card till the last semester/year) in an A4 size Envelope ONLY through Registered Post / Courier to The Co-ordinator, Office of International Affairs, CHRIST (Deemed to be University), Hosur Road, Bengaluru - 560 029, Karnataka, India, Phone: +91 80 4012 9439

All candidates have to Upload all the qualification-related documents (Class 10, Class 12, and Undergraduate Degree Marks Card (if result awaited, marks card till the last semester/year)), in the given link on your application status login page under the document upload tab within five (5) days after submitting the application form online. Else your application will be rejected.

  • All applicants must take a print of the application form and keep it for reference, and make note of the username and password, application number, programme applied for, and selection process date for all further purposes.
  • The Important Dates section must be referred to prior to filling the application. Candidates must choose the selection process dates from available options while filling the application online.
  • No request for a change of date will be entertained.
  • It is required to have all the original marks cards (Class 10, Class 12, and Undergraduate Degree Marks Card (if result awaited, marks card till the last semester/year)) and a photo identity card for verification at any stage of the selection process.

Office of Admissions will communicate with the applicant only through the university website www.christuniversity.in under the link “Application Status” or click the link: https://appstat.christuniversity.in

 

 

 

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.
Selection process results will be available on https://appstat.christuniversity.in Selected candidates will receive an E-Offer of admission. The offer will be valid upto the date mentioned in the Offer of admission.
All selected candidates must note that admission is provisional and subject to University rules.
 
Selected candidates must download the offer of admission on the ‘Application Status’ link on the University website.
 
To process admission
1. Candidates must choose the preferred date and time from available options to facilitate a smooth admission process.
2. Admission must be processed at the campus where the programme is offered as published in the offer of admission.
3. As per UGC guidelines, fee payment has to be made through online mode.
4. Payment options and details will be available in the Offer of admission.
5. Fees for the first year including the Admission Registration fee must be paid in full as part of the admission process.

All original marks cards and one set of photocopies must be submitted for verification at the time of admission as mentioned below
1. Copy of E-Admission card (Mandatory).
2. Copies of the NEFT / Online Payment Receipt (Mandatory).
3. Statement of Marks: Class 10, Class 12 (Mandatory).
4. Students pursuing their Undergraduate final year must bring the statement of marks up to the previous semester/year (Mandatory). 
5. Provisional degree certificate, if the candidate has completed/graduated before June 2023 (Mandatory).
6. Degree certificate (Convocation Certificate), if the candidate has graduated before November 2023 (Mandatory).
7. Transfer Certificate (TC) of undergraduate/postgraduate degree from the last qualified institution (Mandatory) must be submitted by 20 September 2024.
8. Migration Certificate of an undergraduate degree from a qualifying University (applicable for all candidates except those studying in Karnataka) (Mandatory) must be submitted by 20 September 2024.
9. Candidates falling under any of these categories (NRI / PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) should submit
      a] Copy of Passport and Visa Details (Mandatory).
      b] Candidates applying under PIO or OCI have to produce a copy of the PIO or OCI card whichever is applicable (Mandatory).
      c] Medical Fitness Certificate (MFC) from any recognized medical practitioner certified by the Medical Council of India and
      d] Resident Permit (RP) (If available while applying)
10. 3 passport-size and 3 stamp-size photographs (Mandatory).
11. A valid photo ID in original (Aadhar Card/Passport/PAN Card/Driving License/Electoral ID)(Mandatory).
12. Work experience, work-related documents such as joining letter/experience letter and latest salary slip (If required for the programme).
 
All mandatory documents must be submitted for verification during the admission process.
An undertaking for pending original documents unavailable currently [applicable only for candidates writing/passing their exam in March – May - 2024], must be submitted to the Office of Admissions. These documents must be submitted on or before 20 September 2024.
 
Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible” and admission will be terminated from CHRIST (Deemed to be University) without any claim.
 
All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card).
 
The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student's personal details. All transactions within the University campus after the commencement of classes, including fee payments will be processed only through this card. It is also an access card for Library and other restricted places.
 
Selected candidates who fall under the International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Bengaluru, India within 14 working days from the date of admission or arriving in Bengaluru.

The date of commencement of the academic Year 2024 will be intimated during the admission process.
Please Note:
   I) The University does not collect any type of capitation/donation other than the fees mentioned in the website.
  II) All those admitted to the programme will have to purchase a laptop at their own cost if required by the department.
 III) Admitted students who wish to avail bank loan will be provided a recommendation letter on request by presenting the original fee paid receipt to the Office of Admissions.
IV) The decision of the admission committee is final and binding.

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.
  • The University does not collect any type of Capitation / Donation other than the fee mentioned in the website.
  • If the Application is incomplete or incorrect, the University Management has the right to reject it.
  • Kindly do not send any original marks cards through post or courier.
  • Ignorance of the Terms, Conditions, and guidelines will not be considered as an excuse for non-fulfillment of any stipulated process.
  • All selected candidates must note that admission is provisional and subject to University rules.
  • It is to be noted that though the fee is fixed for 2 years, there will be a periodic nominal increase to meet the rise in costs.
  • Fees should be paid within the stipulated date for the first year and before the commencement of final examinations of 2nd semester for the second year.
  • All those admitted to the programme will have to purchase a laptop at their own cost.
  • Admitted student who wish to avail Bank Loan will be provided a recommendation letter on request by presenting the original fee paid receipt to the Office of Admissions.
  • The decision of the Admission Committee is final and binding.

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.
For any queries at any given time during the application and admission process, you may contact us through the following Email ID’s:
 
Bangalore Central Campus
The Office of Admissions,
CHRIST (Deemed to be University), Hosur Road,
Bengaluru - 560 029, Karnataka, INDIA
Ph. No: +91 92430 80800
Ph. No:  +91 80 4012 9400
 
Email IDs
Indian candidates: admissions@christuniversity.in
Bangalore Bannerghatta Road Campus
CHRIST (Deemed to be University)
Hulimavu, Bannerghatta Road,
Bengaluru - 560 076, Karnataka, INDIA
 
Ph. No:  080 4655 1306
Email:
 admissions.bgr@christuniversity.in
Bangalore Kengeri Campus
CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road,
Bengaluru - 560 074, Karnataka, INDIA

Ph. No:  +91 80 4012 9800, 9802, 9820
Email:
 admissions.kengeri@christuniversity.in
Bangalore Yeshwanthpur Campus
CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA

Ph. No:  +91 97422 44407, +91 80 6989 6666
Email: admissions.yeshwanthpur@christuniversity.in
Delhi NCR Campus
CHRIST (Deemed to be University),
Mariam Nagar, Meerut Road,
Delhi NCR Ghaziabad - 201003
 
Ph. No: 1800-123-3212
Pune Lavasa Campus
CHRIST (Deemed to be University),
Christ University Road, 30 Valor Court,
PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra
 
Ph. No : 1800-123-2009,
Email:
 admission.lavasa@christuniversity.in
Between: Monday to Friday: 09:00 AM to 04:00 PM, Saturday: 09:00 AM to 12:00 PM
(Office remains closed on Sundays, Government Holidays and Any special events)

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.
  •  A Bachelor's degree with Mathematics as a core paper in all years of their programme OR B.E./B.Tech degree with good credentials in Mathematics.
     
  •  Applicants must have an aggregate of 50% or above in their degree as well as in Mathematics courses from any recognised University in India or abroad recognised by UGC / AIU.
     
  • Students appearing for their final degree examinations in March-June 2024 are also eligible to apply (Applicants who are in the last year of their studies should have secured 50% or above aggregate in all the Semesters / Years of Undergraduate Examinations conducted so far). 
     
  • Students pursuing an International curriculum must note that eligibility is according to AIU stipulations.

 

The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning.  The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.  
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters.  In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools,  Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively.  Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement

PO2:

Identify the need and scope of the Interdisciplinary research

PO3:

Enhance research culture and uphold the scientific integrity and objectivity

PO4:

Understand the professional, ethical and social responsibilities

PO5:

Understand the importance and the judicious use of technology for the sustainability of the environment

PO6:

Enhance disciplinary competency, employability and leadership skills

 

PSO1:

Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields

PSO2:

Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PSO3:

Develop critical thinking with scientific temper

PSO4:

Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research

PSO5:

Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind

PS06:

Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity

Programme Highlights

  • Curriculum aligned with NET syllabus
  • Curriculum offers specialization in Fluid Mechanics, Graph Theory, or Pure Mathematics through a fourth-semester project.
  • Skill enhancement courses on Python Programming, Data Analytics, SPSS, Excel, R and Machine Learning.
  • International student transfer opportunities with reputed universities.
  • Weekly Journal Club, Teaching Practice and Personality Development Sessions.
  • NET Coaching.
  • Guidance for research publications.
  • Six-week internship in Industry/Research Institution to gain practical/research experience.
  • Community engagement through service learning.
  • Opportunities to undertake socially relevant projects and interdisciplinary projects.
1. Admission Registration fee of INR 5000/ (Non-Refundable)
2. Programme fee as per the below table
 
Year
# Karnataka
Other Indian States
NRI
SAARC / AFRICA / PIO / OCI / ASEAN
Other Foreign Nationals
Time of Payment
1
63,000 INR
83,000 INR
120,000 INR
2,000 USD
2,500 USD
Within seven days of declaration of the Selection Process Result
2
63,000 INR
83,000 INR
120,000 INR
2,000 USD
2,500 USD
On or before March 15, 2025
 
# The fee for Karnataka domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
 
It is to be noted that though the fee is fixed for two years, there may be a periodic nominal increase to meet the rise in costs.
 
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. In subsequent years Other Indian States fee will be applicable.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
 
2. NRI fee is applicable for the full duration of the Programme for candidates who;
    2.1. Have pursued and completed their last qualifying exam from outside India.
    2.2. Are NRI and candidates who have applied under the NRI category.
 
3. To claim the Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).
 
4. Admission registration fee of INR 5000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if applicable.
 
5. All Candidates If “Selected” after appearing for the final selection process, the fee may be paid through the following option:
  • Payment can be made through Net banking / NEFT / RTGS
  • Payment / Transfer of fees does not guarantee admission.

For the Online Application form, click the below link:

 

CHRIST

(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029,
Karnataka, India

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: http://www. christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

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