Master of Science Data Analytics (Interdisciplinary Masters Programme)

  • Bangalore Central Campus
  • Open From : 2023-12-08 00:00:00
  • Open Until : 2024-07-02 00:00:00
  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

 

  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 1 to 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 6268 9800, 9802, 9820, 9828
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

 

 

RESULTS AND ADMISSION PROCESS

  1. Results Announcement: The selection process results will be available on the date mentioned in the Important Dates section on the university’s website.
  2. Results Access: Results can be accessed at this link: https://espro.christuniversity.in/Application/
  3. E-Offer of Admission: Selected candidates will receive an E-Offer of admission, which will be valid until the date specified in the offer.
  4. Provisional Admission: Admission is provisional and subject to university rules. Candidates must meet the specific eligibility criteria for their program.
  5. Fee Payment: Selected candidates must pay the fees using Net Banking/Online Banking or Credit Card. They should also download the offer of admission and choose a date and time to complete the admission process in person with a parent at the selected campus.


To process admission:

  1. Select Date and Time: Choose your preferred date and time from the available options.
  2. Campus Admission: Admission must be processed at the campus where the offer of admission is made
  3. Admission has to be processed as per point (1). Admission will not be processed without the presence of CANDIDATE along with mandatory ORIGINAL DOCUMENTS and one full set of black and white photocopies (xerox) of all the documents mentioned below (MANDATORY):
  • Class 10 and Class 12 Marks Statements (Mandatory).
  • Undergraduate Degree Marks Card: (Semester/Year/Consolidated) If results are awaited, then marks card till the last semester/year (Mandatory).
  • Provisional (PDC) or Degree Certificate (DC): If graduated before November 2024, must be submitted by 30 September 2025 or as announced by the office of admissions of the admission year.
  • Transfer Certificate (TC): Of an undergraduate degree from the last qualified institution (Mandatory) must be submitted by 30 September 2025 or as announced by the office of admissions of the admission year.
  • Migration Certificate (MIG): Of an undergraduate degree from a qualifying University (applicable for all candidates except those studying in Karnataka) (Mandatory) must be submitted by 30 September 2025.
  • Entrance Test Scorecard (MBA Programmes): Copy of valid entrance test scorecard (Aug MAT 2024 | Dec MAT 2024 | CAT 2024 | Feb MAT 2025 | CMAT 2025 | XAT 2025 | ATMA 2025 | GMAT 2024 / 2025| GRE 2024 / 2025) (Mandatory)
  • Work Experience: Candidates who are applying for the Dual Degree MBA (CU) + MBA, (THWS, Germany) Programme should submit the work related documents (Joining Letter/Experience Letter with Latest Salary Slip) (Full Time/Family Business also considered) with one or more year of work experience (Mandatory).
    Candidates who are applying for the MBA Executive with less than 2 years of work experience must have the valid test score of (Aug MAT 2024 | Dec MAT 2024 | CAT 2024 | Feb MAT 2025 | CMAT 2025 | XAT 2025 | ATMA 2025 | GMAT 2024 / 2025| GRE 2024 / 2025) (Mandatory)
  • Two Passport Size Photographs: Formal dress, white background.
  • Two Copies of Payment Acknowledgment Receipt: From application status link https://espro.christuniversity.in/Application/
  • Copy of Valid ID Proof (Aadhar, PAN, etc.).
  • Additional Documents for International Candidates:
    • Passport and Visa Details (Mandatory)
    • PIO/OCI Card holders: Have to produce a copy of the PIO / OCI card whichever is applicable (Mandatory).
    • Medical Fitness Certificate (MFC): From any recognized medical practitioner certified by the Medical Council of India
    • Resident Permit (RP): (If available while applying)

 

Make sure to have all the original documents and a full set of black and white photocopies (xerox).

 

  1. Document Submission:
    • All mandatory documents must be submitted for verification.
    • An undertaking for pending original documents (for exams in March-June 2025) must be submitted to the Office of Admissions by 30 September 2025 or as announced by the office of admissions of the admission year.
    • Failure to submit pending documents will result in termination of admission.
  2. Bank Account Requirement:
    • All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process.
    • Relevant ID proof (Aadhar Card and Pan Card) is required.
  3. University ID Card:
    • The ID card is a smart card that functions as an ID, ATM card, and access card for various facilities.
    • All transactions within the campus, including fee payments, will be processed through this card.
  4. International Students:
    • Must register with the Foreigner Regional Registration Officer (FRRO/FRO) within 14 working days of admission or arrival in Bengaluru.
  5. Commencement of Academic Year:
    • The start date for the academic year 2025 will be communicated during the admission process.
  6. Caution:
    • The university does not authorize any third party to conduct the selection process or offer admissions.
    • Be wary of unauthorized SMS/Emails promising admissions.
  7. Bank Loan Assistance:
    • Admitted students can request a recommendation letter for a bank loan by presenting the original fee paid receipt to the Office of Admissions.
  8. Laptop:
    • Admitted students may need to purchase a laptop if required by their department.

 

  1. Final Decision:
    • Student allotment in the program of their choice among the various campuses located in Bangalore (Central, Kengeri, Bannerghatta, and Yeshwantpur), Lavasa (Pune), and Delhi NCR Campus of CHRIST University shall be at the sole discretion of the Management. The decision of the Admission Committee is final.
  2. Cancellation Process:

 

  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

 

INSTRUCTIONS FOR SUBMISSION OF ONLINE APPLICATION FORM
 
Candidates are required to apply online only through the University website www.christuniversity.in No other means/mode of application will be accepted.
 
Candidates should thoroughly go through the programme eligibility criteria, etc. before applying.
 
All applicants are required to create a one-time registration ID to be able to apply for the programme of their choice. They can create the Login ID by
 
OR
Through the program of your choice. After selecting the program, you will be redirected to the Registration for New Students Admission page.
 
Step-1 Procedure to Register as a New applicant
  1. One-time registration: This registration allows you to apply for multiple programs using the same Registration ID.
  2. Fill in your details: Enter your name as per your class 10 school certificate, a valid email ID, mobile number, WhatsApp number for further communication, date of birth, and create a password. Reconfirm the password. Ensure all data is correct before submission, as you cannot edit this personal information later. Click on the ‘Register’ button to complete the registration.
  3. Verify with OTP: An OTP will be sent to your mobile number and email ID. Enter the OTP in the given section and click on the ‘Proceed’ button. If you do not find the email in your inbox, check the spam folder.
 
Step-2 Procedure to Login
  1. Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
  2. Click on the Login button: After entering your details, click on the ‘Login’ button.
  3. Forgot password?: If you forgot your password, click on the ‘Forgot Password’ button and follow the necessary steps to reset it.
 
Step-3 Steps you need to follow to fill out your personal information in the application form:
  1. Select the program: Choose the program and campus to which you want to apply. If there is an option to choose preferences, kindly choose the preference accordingly. All candidates must meet the program specific eligibility criteria. (Eligibility criteria for the program is available on the admissions page on the University website). Ensure all data is correct before proceeding to next step, as you cannot edit this information later.
  2. Photograph: Upload a photo (3.5 cms x 4.5 cms formal dress with white background only not more than 100 kb). Photos with other backgrounds or taken with mobile devices will result in rejection of the application.
  3. Read the terms and conditions: Carefully read the terms and conditions and select the declaration box below.
  4. Personal information: Fill in your personal information, sports achievements (if any), and extracurricular details (if any).
  5. Parent/guardian information: Provide your current and permanent addresses, along with your parent and guardian information.
  6. Educational details: Fill in your educational details and upload clear scanned copies of class 10, class12, undergraduate degree, work experience letter (if mandatory) depending on the program’s eligibility criteria. Applicants in their final year of an undergraduate degree must enter the marks up to the previous semester/year. *Applications with no marks cards, other mandatory documents or unclear scanned copies will be rejected and termed as Not Eligible.
  7. Preview your application: Review the details you have entered. If there are any corrections needed, edit and preview the application form again. Once submitted, the details cannot be corrected, so ensure everything is accurate before submitting.
  8. Select the date and centre for the selection process: Refer to the Important Dates section before filling out the application. Choose the appropriate date and centre for the selection process based on the program you are applying for. No requests for date/venue changes will be entertained.
  9. The application cannot be submitted without filling in all the mandatory fields.
  10. Applicants must save the information as they proceed from page to page.
 
Step-4 Application Fee Payment:
  1. Payment Methods: You can use Net Banking, Credit Card, Debit Card or any UPI for the payment.
  2. Non-Refundable: Applicants must remember that the application registration fee is non-refundable once the application number is generated.
  3. Secure Payment: Make sure you’re on a secure website when entering your payment information.
  4. Application Number: A 9-digit application number will be auto-generated after the successful payment of the application fee.
  5. Payment Failure: In case of payment failure due to a technical error, the application number will not be generated, and any amount deducted will be automatically refunded within 15 business days.
  6. Printing the Application: A copy of the application can be printed anytime from the login until the selection process is completed.
 
Applicants must note:
  1. Documents: Original marks cards of class 10, class12, undergraduate degree provisional/degree certificate and work experience letter, depending on the program’s eligibility criteria and valid ID proof will be verified during the selection process. Applicants in their final year of an undergraduate degree must carry the marks card up to the previous semester/year.
  2. Selection Process: Conducted on the date and venue chosen during the application process or as announced by the office of admissions. The Selection Process will be held in person at the selected date and venue.
  3. All communication will be through the applicant's login only.
 
  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

 

CHRIST UNIVERSITY

(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

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