24th April 2025
Years (4 Semester)
Rs. 50,000 / Sem.
Medium of Instruction
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 |
Elective Group | Proposed Sem | Course Code | Course Name |
---|---|---|---|
Electives I | Semester III | INTOL424 | Algorithmic trading |
Electives I | Semester III | INTOL426 | Bayesian data analysis |
Electives I | Semester III | INTOL428 | Financial data analysis |
Electives II | Semester III | BINOL533 | Healthcare data analytics |
Electives II | Semester III | BINOL529 | Data science for structural biology |
Electives II | Semester III | MATOL548 | Epidemiological Modelling |
Electives III | Semester IV | CSEOL542 | Social Networks & Graph Analysis |
Electives III | Semester IV | INTOL419 | Spatial Data Analytics |
Electives III | Semester IV | INTOL433 | Information Visualization |
Electives IV | Semester IV | CSEOL608 | Image processing & Analysis |
Electives IV | Semester IV | ICTOL529 | Speech & Video processing |
Electives IV | Semester IV | INTOL427 | Information Retrieval & Natural Language Processing |
Electives IV | Semester IV | MATOL549 | 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 a maximum grade of 'A++' (3.76/4.00) and is a Category I Institution based on the UGC's categorization of Universities for 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 #47 in 2024. It is also recognized as a Scientific & Industrial Research Organization by the Government of India.
To apply for the SASTRA M.Sc in Data Science online program, candidates must hold a graduate degree (10+2+3 or 10+2+4) in any discipline with a background in Mathematics or Statistics from a recognized university. This meets the M.Sc Data Science requirements in India for online and distance learning formats.
The SASTRA M.Sc Data Science fees are ₹50,000 per semester, totaling ₹2,00,000 for 2 years. For the July 2025 admission batch, a limited-time discounted fee of ₹1,40,000 is available, making it one of the most affordable online M.Sc in Data Science programs in India.
Yes, this is a 100% online M.Sc Data Science degree, offering complete flexibility for working professionals. The program supports distance learning through recorded lectures, e-content, webinars, and LMS access. It is ideal for those searching for M.Sc Data Science distance education or online master's degree in Data Science in India.
Graduates of the online Data Science master's program from SASTRA can pursue high-demand roles like:
While direct placement support may not be guaranteed, SASTRA’s strong industry reputation and project-based learning approach ensure graduates are well-prepared. Alumni networks and academic guidance support career progression in India's top M.Sc Data Science colleges and tech sectors.
The program spans 2 years (4 semesters). This structure is aligned with most M.Sc in Data Science colleges in India and caters especially to working professionals seeking flexibility and career advancement through a master's degree.
Yes, all study materials—including e-tutorials, lecture notes, PPTs, and webinars—are available 24/7 via the LMS. This makes it ideal for learners exploring online M.Sc Data Science India programs with a self-paced format.
Absolutely. On successful completion of the course and assessments, learners are awarded a UGC-recognized Master of Science (M.Sc) in Data Science degree from SASTRA University, one of the best M.Sc Data Science colleges in India.
No. This program is completely online with no physical attendance needed. It’s perfect for those looking for distance learning M.Sc Data Science programs without compromising on quality.