Programme Details

Master of Science Data Analytics (Interdisciplinary Masters Programme)

  • Bangalore Central Campus 487
  • Open From : 08-Dec-2023
  • Open Until : 02-Jul-2024
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

Overview

 
 

MSc in Data Analytics is a six trimester inter-disciplinary post-graduate degree programme conducted by Department of Statistics and Data Science. This programme is designed for working professionals and graduates who want to launch their career in the in-demand and lucrative field of data analytics. As organizations are looking ways to exploit the power of big data, technology professionals who are experienced in analytics are in high demand. This programme aims to offer thorough knowledge of the theory and practice of data analytics to become a leading practioner in the field of data analytics. This programme accommodates a wide audience of learners whose specific interests in data analytics may be either technical or business focused.

Class Timings:

Monday to Friday: 
Morning: 6:30 AM to 8:30 AM, 
Evening: 6:30 PM to 8:30 PM

Saturday:
Morning: 6.30 AM to 8.30 AM, 1:30 PM to 8:30 PM
Evening: 1:30 PM to 8:30 PM 

The programme is offered trimester-wise with twelve core courses and six open electives. Each course will earn four credits. Core and elective courses will be offered in a staggered manner and will have to be completed within the maximum duration of the programme.

 

Why choose this course?

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    Acquire sought-after skills in data analytics, meeting industry demands.

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    Blend of mathematics, statistics, computing, and domain expertise.

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    Convenient class timings for working professionals and graduates.

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    Covering core areas like AI, machine learning, big data, and more.

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    Gain hands-on experience through real-life problem-solving projects.

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    Emphasize professional ethics, societal concerns, and environmental responsibilities.

 

What you will learn?

 
  • Master data analytics principles, statistical methods, and Python programming for comprehensive problem-solving.
  • Develop expertise in mathematical foundations, database technologies, and data mining for robust analytics.
  • Acquire in-depth knowledge of AI, regression modeling, and big data analytics for advanced problem analysis and solution design.
  • Explore machine learning, natural language processing, and data visualization, enhancing skills crucial for modern analytics applications.
  • Apply research-based knowledge in project management, emphasizing professional ethics, cyber regulations, and responsible computing practices.
  • Choose from a range of elective courses, including business intelligence, IoT, web analytics, and cloud analytics
 

Modules

 
  • Principles of Data Analytics
  • Statistical Methods using R
  • Python for Data Analytics

Year 1

  • Mathematical Foundation for Data Analytics
  • Database Technologies
  • Data Mining
 
 
  • Machine Learning
  • Natural Language Processing
  • Data Visualization

 

Year 2

  • Neural Networks and Deep Learning
  • Business Intelligence
  • Internet of Things
 

Career prospects

 
  • Meet the rising demand for skilled data analysts in various industries..
  • Unlock opportunities in well-paying roles across industries.
  • Acquire a blend of technical and business-focused analytics skills.
  • Develop expertise to lead in multidisciplinary analytics domains.
  • Gain skills applicable globally in the era of big data and technology.
  • Embrace professional ethics, addressing societal and environmental concerns in data-driven decision-making.
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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

 

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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

 

 

 

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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.
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

  • 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.
  • The University shall allot the seat to the selected MBA (Central/Kengeri) candidate in the Bangalore Central campus or Kengeri campus based on the availability of seats.
  • 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.
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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)
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

Candidates having 50% aggregate marks from any recognised University in India or abroad recognised by UGC / AIU in any of the following programmes are eligible:

(i)   BSc / BE / B.Tech with Mathematics as a major or minor ( Minimum one year of learning of Mathematics)

(ii)  BCom / BBA with Business Maths or Data Analytics as Specialization

Students pursuing an International curriculum must note that eligibility is according to AIU stipulations.

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

MSc (Data Analytics) – Fee Details Core courses

Course Code

Course Title

Core/Elective/Project/Abi lity Enhancement Course

Fees  

MDA131

Principles of Data Analytics  

Core

Rs.7000

MDA171

Statistical Methods using R

Core

Rs.9000

MDA172

Python for Data Analytics

Core

Rs.9000

MDA231

Mathematical Foundation for Data Analytics

Core 

Rs.7000

MDA271

Database Technologies

Core 

Rs.9000

MDA272

Data Mining

Core

Rs.9000

MDA331

Artificial Intelligence

Core

Rs.7000

MDA371

Regression Modelling

Core 

Rs.9000

MDA372

Big Data Analytics

Core 

Rs.9000

MDA471

Machine Learning

Core 

Rs.9000

MDA571

Data Visualization

Core 

Rs.9000

MDA681

Project

Project

Rs.9000

Elective courses

MDA472

Natural  Language Processing  

Discipline Specific Elective 

Rs.9000

MDA461

Business Intelligence

Generic Elective 

Rs.7000

MDA572

Neural Networks and Deep Learning

Discipline Specific Elective 

Rs.9000

MDA561

Internet of Things

Generic Elective

Rs.7000

MDA661

Web Analytics 

Generic Elective

Rs.7000

MDA662

Cloud Analytics

Generic Elective

Rs.7000
  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

  1. To enable learners to develop knowledge and skills in current and emerging areas of data analytics.
  2. To critically assess and evaluate business and technical strategies for data analytics.
  3. To demonstrate expert knowledge of data analysis, statistics, tools, techniques and technologies of data analytics.
  4. To develop project-management, critical-thinking, problem-solving and decision-making skills.
  5. To formulate and implement a novel research idea and conduct research in the field of data analytics.


Class Timings :  Morning : 6:30 AM to 8:30 AM

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: Problem analysis and design ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, statistics, computing sciences, and relevant domain disciplines
PSO2: Modern Software Tool Usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems
PSO3: Societal and Environmental Concern: Utilize the data science theories for societal and environmental concerns
PSO4: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices
PSO5: Applications in Multi Disciplinary Domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science
PSO6: Apply the research-based knowledge to analyse and solve advanced problems in data science

 

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(Deemed to be University)

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