30th June 2025
Years (4 Semester)
Rs. 50,000 / Sem.
English
The Master of Science (M.Sc.) in Data Science Online degree program is designed to equip students with advanced knowledge and skills in data science, a rapidly growing and in-demand discipline. This program blends theoretical concepts with practical applications, preparing graduates for successful careers in various industries, such as technology, finance, healthcare, and more.
The M.Sc. in Data Science program curriculum covers a wide range of topics essential to the field, including data analysis, machine learning, data visualisation, statistical methods, and big data technologies.
The Data Science Masters program emphasises critical thinking, problem-solving, and analytical skills, preparing graduates to tackle complex data challenges in today's data-driven world. Graduates are well-equipped to pursue roles such as data scientist, data analyst, machine learning engineer, business intelligence analyst, and more.
Prestigious University Degree – Gain a recognized Masters’ degree from top ranked SASTRA University, with a University ranking of #28 in NIRF 2024.
Flexible - Study from anywhere, at your own pace, ideal for working professionals.
Comprehensive Curriculum - Covers data analysis, machine learning, programming languages like Python and R, statistical methods, and big data technologies.
Hands-On Projects - Engage in practical projects and real-world case studies to build a professional portfolio and apply knowledge effectively.
Career Preparation - Gain skills in critical thinking, problem-solving, and data-driven decision-making, positioning graduates for roles like data scientist, machine learning engineer, and more.
Graduate/Bachelors degree (10+2+3 or 10+2+4) or equivalent in any discipline but with a background in Mathematics or Statistics, from a recognized university.
| Course Code | Subject | Credit |
|---|---|---|
| MATOL445 | Probability & Statistics using R | 4 |
| MATOL446 | Mathematics for Data Science | 4 |
| BINOL522 | Python for Data Science | 4 |
| INTOL530 | Artificial Intelligence & Reasoning | 4 |
| MATOL439 | Applied Multivariate Analysis | 4 |
| Total Credits | 20 | |
| Course Code | Subject | Credit |
|---|---|---|
| INTOL534 | Machine Learning | 4 |
| CSEOL614 | Big Data Mining & Analytics | 4 |
| INTOL413 | RDBMS, SQL & Visualization | 4 |
| INTOL531 | Data Mining Techniques | 4 |
| INTOL416 | RDBMS, SQL, Visualization & Analytics Laboratory | 2 |
| MANOL106 | Research Methodology & IPR | 2 |
| Total Credits | 20 | |
| Course Code | Subject | Credit |
|---|---|---|
| CSEOL615 | Deep Learning & Applications | 4 |
| INTOL418 | Predictive Analytics Regression & Classification | 4 |
| OEHOL014 | Ethics & Data Security | 4 |
| XXXXXX | Elective I | 4 |
| XXXXXX | Elective II | 4 |
| Total Credits | 20 | |
| Course Code | Subject | Credit |
|---|---|---|
| ICTOL601 | Machine Vision | 4 |
| XXXXXX | Elective III | 4 |
| XXXXXX | Elective IV | 4 |
| INTOL500 | Project Work & Viva Voce | 8 |
| Total Credits | 20 | |
| Course Name |
|---|
| Algorithmic trading |
| Bayesian data analysis |
| Financial data analysis |
| Healthcare data analytics |
| Data science for structural biology |
| Epidemiological Modelling |
| Social Networks & Graph Analysis |
| Spatial Data Analytics |
| Information Visualization |
| Image processing & Analysis |
| Speech & Video processing |
| Information Retrieval & Natural Language Processing |
| Energy Systems Modelling & Analysis for Data Science |
| Semester | I | II | III | IV | Total |
| Courses | 5 | 6 | 5 | 4 | 20 |
| Credits | 20 | 20 | 20 | 20 | 80 |
Throughout the course, participants will undergo periodic evaluations, including quizzes, class assignments, projects, case analyses, or other objective/subjective assessments as determined by the instructor during class hours.
Timely and successful completion of these evaluation components is essential. Participants are expected to demonstrate active engagement and meet all requirements within the given timelines.
SASTRA University will award a Course Completion Certificate to those who:
The primary objective of the assignments and projects is to enable participants to apply the conceptual insights gained during the programme to real-world organizational decision-making scenarios.
With a humble beginning in the year 1984, SASTRA's progress in the last 36 years is a testimony to its commitment to building a University as envisaged in its guiding model. Today, SASTRA is one of India's premier institutions offering undergraduate, postgraduate & doctoral programmes in Engineering, Management, Law, Sciences, Humanities and Education. It was conferred Deemed-to-be-University status in 2001 by the University Grants Commission under Section 3 of the UGC Act 1956. SASTRA also has an MHRD-notified off-campus named Srinivasa Ramanujan Centre (SRC) at Kumbakonam.
As a comprehensive University, its teaching programmes are complemented by research engagements, consultancy assignments, training and extension activities. This has been re-accredited by NAAC (fourth cycle) with the maximum grade of 'A++' (3.76/4.00). It is also recognized as a Category I Institution based on the UGC's categorization of universities under the Graded Autonomy Regulations, 2018. Twelve engineering programmes of SASTRA have been internationally accredited for a period of 9 years by the Institution of Engineering & Technology (IET), UK recognizing SASTRA's academic excellence. In the NIRF ranking, SASTRA has always been placed among the top 40 Universities with a current position of #28 in 2024. It is also recognized as a Scientific & Industrial Research Organization by the Government of India.
