Programme Details

Master of Science Data Analytics (Interdisciplinary Masters Programme)

  • Bangalore Central Campus
  • Open From : 05-Nov-2020
  • Open Until : 20-Feb-2021


  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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

MSc in Data Analytics is a six trimester inter-disciplinary post-graduate degree programme conducted by Department of Computer 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 practitioner 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
Morning : 6:30 AM to 8:30 AM   Evening : 6:30 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.

CBCS Interdisciplinary Masters Programmes Guidelines
  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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

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 following options to apply for any programme at Christ University.
a) Direct mode Application
b) Online Application form

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

For other details: https://christuniversity.in/international-student-category

  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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

Applicants may apply for the programme from 8 December, 2020 when 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) Fill-in all the details in the “detailed application” page. Scan and upload 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 screen. In case you need to make any corrections; you may edit the data/details and then click “Confirm Submission”.

c) Make payment using card 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, logon 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 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 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 other candidates will have to carry the application printout, original documents and a set of photocopies to the selection process on the allotted date, time and venue mentioned on the selection process admit card.

  • All applicants must make note of the username and password, application number, programme applied for, selection process date and city for all further purposes.
  • All travel arrangements if necessary have to be made in advance.
  • The Important Dates section must be referred to prior to filling the application. Or candidates can choose the selection process dates while filling the application online.
  • No request for change of date/city will be entertained.
  • Application printout along with a set of photocopies of class X, XII, Undergraduate degree marks cards, Provisional/Degree certificate must be submitted during the selection process.
  • Applicants applying while in their final year of undergraduate degree must carry the marks card upto the previous semester/year.
  • Original marks cards/provisional/degree certificate and ID proof will be verified during the selection process.
     

Office of Admissions will communicate with the applicant only through 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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

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 ‘Application Status’ link on the University website.

 

To process admission

1. Candidates must choose the preferred date and time from available options to facilitate 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 first year including 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. Undergraduate Degree Marks Card (if result awaited, marks card till the last semester/year) (Mandatory).
 
5. Provisional degree certificate, if candidate has completed/graduated before November 2020 (Mandatory).
 
6. Degree certificate (Convocation Certificate), if candidate has graduated before June 2020 (Mandatory).
 
7. Transfer Certificate (TC) of undergraduate/postgraduate degree from the last qualified institution (Mandatory) must be submitted by 20 August, 2021.
 
8. Migration Certificate of undergraduate degree from qualifying University (applicable for all candidates except those studying in Karnataka) (Mandatory) must be submitted by 20 August, 2021.
 
9. Students pursuing their final year must bring the statement of marks up to the previous semester / year (Mandatory).

10. 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 the copy of 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)
 
11. 1 passport size and 1 stamp size photographs (Mandatory).
 
12. A valid photo ID in original (Aadhar Card/Passport/PAN Card/Driving License/Electoral ID)(Mandatory).
 
13. 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 – June - 2021], must be submitted to the Office of Admissions. These documents must be submitted on or before 20 August, 2021.

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 personal details. All transactions within the University campus after commencement of classes, including fee payment will be processed only through this card. It is also an access card for Library and other restricted places.

Selected candidates who fall under 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 2021 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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills
  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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills
  • 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.
  • The Online application form will be processed by the Office of Admissions only on receipt of the online payment acknowledgment slip copy and all supporting documents.
  • The institution is not responsible for any application reaching after the stipulated date /time and such applications will not be processed.
  • Ignorance of the Terms, Conditions and guidelines will not be considered as an excuse for non-fulfillment of any stipulated process.
  • 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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

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

Email IDs

Indian candidates: admissions@christuniversity.in

NRI candidates: nri.admission@christuniversity.in

International: isc.admission@christuniversity.in

Bangalore Bannerghatta Road Campus
CHRIST (Deemed to be University)
Hulimavu, Bannerghatta Road,
Bangalore, Karnataka 560076

 

Ph. No:  080 4655 1306, 1307, 1308, 1309
Email:
 admissions.bgr@christuniversity.in

Bangalore Kengeri Campus

CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road,

Bangalore - 560074


Ph. No:  080 4012 9800, 9802, 9820
Email:
 admissions.kengeri@christuniversity.in

Delhi NCR Campus

CHRIST (Deemed to be University),

Mariam Nagar, Meerut Road,

Delhi NCR Ghaziabad - 201003

 

Ph. No: 1800-123-3212

Email : admission.ncr@christuniversity.in

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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

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

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

  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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills
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

Course Code

Course Title

Core/Elective/Project/Ability Enhancement Course

Fees  

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

  1. On successful completion of the MSc programme students will be able to
  2. Engage in continuous reflective learning in the context of technology and scientific advancement.
  3. Identify the need and scope of the Interdisciplinary research.
  4. Enhance research culture and uphold the scientific integrity and objectivity
  5. Understand the professional, ethical and social responsibilities
  6. Understand the importance and the judicious use of technology for the sustainability of the environment
  7. Enhance disciplinary competency, employability and leadership skills

CHRIST

(Deemed to be University)

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.

Copyright © CHRIST (Deemed to be University) 2020