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Applications are invited for admission to the two-year, full-time course for the academic year 2021-2022.

 Online Application Form


Data today is treated as a source of energy, in any venture. It is this very data that gives us glimpses of where we were yesterday, our current status, and what areas we need to improve upon in order to excel in the future. In today’s context, the one who has data and can interpret it with the right kind of analysis becomes the modern-day oracle. The initiative taken by Tata Consultancy Services(TCS) has made remarkable strides in shaping the talent capability aligned to data analysis, business requirements and to accrue seamless mutual benefits for the world of academics and industry. The objective of this course is to contribute to the overall development of the student community in order to enhance the quality and consistency of talent supply by channelizing practical industry knowledge to the classroom. The course has gained great admiration and reverence from academia, students, and various stakeholders across the country. We are proud to announce that Padma Shri Dr. Bimal Roy, former Director, Indian Statistical Institute has developed the curriculum for Big Data Analytics. The course work comprises Statistical Methods, Probability & Stochastic Process, Linear Algebra & Linear Programming, Computing for Data Sciences, Machine Learning, and Database Management. The Department of Information Technology, St. Xavier’s College (Autonomous) started a new Master’s degree course - M.Sc.  in Big Data Analytics in June 2019 in collaboration with Tata Consultancy Services (TCS). This year, we are accepting applications for our second batch of students.


Course Partner

M.Sc. in Big data analytics program will run in collaboration with Tata Consultancy Services (TCS), Information Technology department, and Statistics department of St. Xavier’s college, Mumbai.


Objective and Outcome

Objective: The main objective of this program is to develop the skill of Big data analytics and data analytics.

Outcome: Students will be placed as data scientists or big data analysts in the IT industry. 


Highlights of the course

  • Mandatory internship in the fourth semester comprising 16 weeks of intensive hands-on work in the industry
  • Dedicated lab
  • Live session and guest lectures from TCS
  • Summer internship after semester 2
  • Faculty expertise exposure to the students covers areas of Economics, Statistics, Mathematics, rational thinking, and InformationTechnology
  • Practical-based approach


Course Structure

  • The M.Sc. with Big Data Analytics program is a full-time Master’s degree program consisting of four semesters over two years. 

  • The course will teach the following modules across the four semesters.

Semester I

ITS0701  Statistical Methods

ITS0702  Probability & Stochastic Process

ITS0703  Linear Algebra & Linear Programming

ITS0704  Computing for Data Sciences using R, Python, and Java

ITS0705  Database Management – Relational and Non-Relational

ITS07PR1  Computing for Data Science & Statistics

ITS07PR2  Database Management Systems and Linear Algebra

ITS07PR3  Python Programming

Semester II

ITS0801  Foundations of Data Science

ITS0802  Advanced Statistical Methods

ITS0803  Machine Learning-I

ITS0804  Value Thinking

ITS0805  Enabling Technologies for Data Science

ITS0806  Cloud computing/Operation Research

ITS08PR1  Machine Learning-IFoundation of Data Science

ITS08PR2   Enabling Technologies for Data Science and Advanced Statistics

Semester III

ITS0901  Enabling Technologies for Data Science-II

ITS0902  Machine Learning-II including Deep Learning

ITS0903  Data Visualization with Tableau & Modelling in Operations Management

ITS0904  IPR/Cyber Security & Text mining/Introduction to Econometrics and Finance/Advanced Analytics

ITS0905  Time-series Analysis & Forecasting / Bioinformatics / Big Data Technologies and Architecture

ITS09PR1  Machine Learning-II including Deep Learning & Elective-I

ITS09PR2  Enabling Technologies for Data Science-II & Elective-II

ITS09PR3  Data Visualization with Tableau & Modelling in Operations Management


Semester IV

Internship based project - 20 credits


Course Fee Structure

First-year M.Sc. (Big Data Analytics): Rs. 90,000/-

Second-year M.Sc. (Big Data Analytics) Rs. 90,000/-


Number of seats

The intake is a maximum of 30 students per year.


Allocation of seats

St. Xavier’s College is a Catholic Minority College, administered under the provisions of the Indian Constitution, to promote the welfare of the minority community and to extend its services to all other communities in India, so as to contribute to the harmony and integration of Indian society. 50% of seats are reserved for Catholic minority students.

As per the Judgement dated 12th October 2017 of the Honourable Bombay High Court vide Writ Petition No.1726 of 2001, Minority Colleges do not need to set aside seats for Backward Classes. This was reiterated by the University of Mumbai Circular (No. Aff. / Recog.I / Admission (2018-19) / 10 / of 2018) dated 30th May 2018.


Accordingly, the allocation of seats is as follows:

Category Percentage of seats reserved

Number of seats out of 30

Management Quota


Number of seats out of 25 

Christian Minority

50%  12 
General 42%  11 
Persons with disability 5%
Special** 3%

** The Special category is for the wards of transferred State / Central Government and Private Sector employees, Defence Personnel, Ex-Servicemen, Freedom Fighters; for students who have met with an accident and also for award winners at the District / State / National Level in Sports or Cultural activities.

Admissions for this course will follow the relevant Government and University Directives pertaining to Minority Colleges, and the extant practices of the Autonomous College.

Candidates applying in the Special category have to first select the General category and then select the appropriate special category they wish to apply to.

Candidates applying under the Christian minority have the option of applying for the Student with Disability category provided they upload the supporting documentation.

For PIO/NRI/FR/FS/OCI applicants kindly click here for your admission procedure as laid down by the University of Mumbai.

Additional information