M.Sc. in Big Data Analytics

Introduction

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 overall development of the student community in order to enhance quality and consistency of talent supply by channelizing practical industry knowledge to the classroom. The course has gained a 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).

Entrance Exam Syllabus

Interships [2022-23]

Internship based project A live project has to be undertaken at an industry for 16 weeks. Each student will have two supervisors: one from academic institution and one from the industry. The project shall involve handling data extensively and use of methodologies learnt during the course work to derive meaningful inferences. A final project report has to be submitted and an “open” presentation has to be made.

Placements

The placement details of the few selected companies including on, and off-campus has been displayed above from the initial year 2020 onwards. The highest package in the academic year 2022-23 is 20.5 LPA. The highest internship package for the year 2022-23 was 40K. It is our great privilege to mention the fact that from the last three batches all students have got industry-based internships.

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

Mandatory internship in the fourth semester comprising of 20 weeks 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 which covers areas ofEconomics, Statistics, Mathematics, rational thinking and InformationTechnology
Practical based approach

Course Structure

The M.Sc. with Big Data Analytics programme is a full-time Master’s degree programme 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 Data base 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

ITS08PR1 Machine Learning-I & Foundation of Data Science

ITS08PR2 Advanced Statistical Methods & Enabling Technologies for Data Science

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 / Bio informatics / Big Data Technologies and Architecture

ITS09PR1 Enabling Technologies for Data Science-II

ITS09PR2 Machine Learning-II including Deep Learning & Bio-Informatics

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. 1,50,000/- (from the academic year 2024-2025)

Number of seats

The intake is a maximum of 40 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

Management Quota - 15% - 5 out of 30

Christian Minority - 50% - 12 out of 25

General - 42% - 11 out of 25

Persons with disability - 5% - 1 out of 25

Special** - 3% - 1 out of 25

** 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.

Eligibility

A student who has completed or is appearing for semester VI in B.Sc.(Maths), B.Sc. (Statistics), B.Sc. (IT), B.Sc. (CS/Data Science) or B.C.A. from any UGC recognized university in India.

It is mandatory that all students should have done a Calculus and Linear Algebra course during their graduation.

B.Sc(Physics) - students who have done Physics as a major subject and Mathematics or Statistics as a second subject (up to second year) during their graduation

A student who has completed or is appearing for semester VIII in B.E(Electronics / Computer Science) in the academic year 2020-2021 from any recognized university from India

Facilities

On campus classrooms for theory lectures
A dedicated lab of fully functional computer systems for a batch size of 40 students
Expert in-house, visiting and industry faculties.
Weekly workshops from industrial experts under various data analytics domains.

Faculty

The Instructors for this course comprise of in-house Professors from department of Information Technology, Statistics, Mathematics, English and Biotechnology, along with visiting faculty from reputed colleges of Mumbai. Data Scientists from industry also conduct lectures for the students. To add further value to the course, there are key sessions organized by TCS.

Syllabus

For any queries or clarifications, please send an email to bigdata@xaviers.edu