12–35 LPA+
Average salary in this domain
21,000+
Jobs open every year in this domain
20-October-2026
Registration Open
2 Years (4 Sem)
Course Duration
Attractive EMI schemes
Early Bird offers available
Programme Fee
100% Online
Teaching Method
Online M.Sc Data Science Overview
The Online M.Sc Data Science programme from SASTRA Deemed University is designed for graduates and working professionals looking to build expertise in Data Science, Artificial Intelligence, Machine Learning and Data Analytics. This two-year online postgraduate programme offers flexible learning opportunities, an industry-relevant curriculum and the academic excellence of a NAAC A++ accredited university.
To Receive Your M.Sc Data Science Degree
SASTRA University will award the M.Sc Degree to participants who:
- Successfully complete all assessment components.
- Meet the specified attendance requirements.
Timely completion of all academic requirements and active participation throughout the programme are essential to successful completion.
Course Highlights
Prestigious University Degree
Gain a recognized Masters' degree from top ranked SASTRA University, with a University ranking of #29 in NIRF 2025.
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.
Get the full curriculum
Download the official brochure for detailed syllabus, faculty and fee information.
Online M.Sc Data Science Program Objective
Equip graduates with the capability to design, implement and test computational approaches to develop innovative and effective solutions for diverse sectors.
Enable graduates to create and implement solutions with advanced computing skills addressing data management.
Prepare learners to develop the ability to build and assess data-based models.
Enable the learners to apply data science concepts and methods to solve problems in the real-world context and communicate these solutions effectively.
Online Data Science Masters nurtures creativity in graduates to enable them to excel in industry and research organisations.
Create technically sound, socially conscious and ethically committed professionals.
Online M.Sc in Data Science equips graduates with the necessary skills to execute statistical analyses with professional statistical software.
Train learners to demonstrate proficiency with statistical analysis of data.
Curriculum & Subjects
The program consists of a total of 19 Courses (17 Core Courses and 2 Master Courses) with one Project Work amounting to 80 Credits.
Semester 1
| 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 |
Semester 2
| 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 |
Semester 3
| 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 |
Semester 4
| 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 |
Electives for Semester 3
| Course Code | Subject | Elective Group |
|---|---|---|
| INTOL424 | Algorithmic Trading | Elective 1 |
| INTOL426 | Bayesian Data Analysis | Elective 1 |
| INTOL428 | Financial Data Analysis | Elective 1 |
| BINOL533 | Healthcare Data Analytics | Elective 2 |
| BINOL529 | Data Science For Structural Biology | Elective 2 |
| MATOL548 | Epidemiological Modelling | Elective 2 |
Electives for Semester 4
| Course Code | Subject | Elective Group |
|---|---|---|
| CSEOL542 | Social Networks & Graph Analysis | Elective 3 |
| INTOL419 | Spatial Data Analytics | Elective 3 |
| INTOL433 | Information Visualization | Elective 3 |
| CSEOL608 | Image Processing & Analysis | Elective 4 |
| ICTOL529 | Speech & Video Processing | Elective 4 |
| INTOL427 | Information Retrieval & Natural Language Processing | Elective 4 |
| MATOL549 | Energy Systems Modelling & Analysis For Data Science | Elective 4 |
Data Science Programming Languages
Our Learning Methodology
- Pre-recorded videos in which experts deliver lecture or presentation on designated topics.
- Videos will be uploaded on a weekly basis for 12 weeks.
- Videos will be available till semester completes.
- Any time access across devices.
- Asynchronous Mentoring.
- E-books, Lecture Notes, PPT and Open-Source Materials.
- The contents will be a mix of all the above available for the students to use comprehensively.
- All materials will be made available from day 1 for the entire semester students can download.
- It can be accessed any time across devices.
- Synchronous teaching & learning.
- Students must go through / study the previous three weeks content before sitting for webinars.
- Each webinar is two hours long and occurs every alternate week of the programme (2, 4, 6, 8, 10, and 12th weeks).
- This session will be doubt-clearing sessions only of previous weeks content.
- Each assessment will be MCQs / Descriptive patterns.
- Totally 6 assessments starting from 3rd week of the programme (3,5,7,9,11,13 weeks).
- All courses will have 6 assessments out of which best of 5 will be taken into consideration and it is compulsory.
Learning Outcome
Work as a Data Science professional in the corporate sector, academia, or research organisations.
Use, analyse, and visualise data using specialised software tools.
Undertake research/investigation independently and display teamwork and leadership skills to solve real-life problems.
Apply computing theory, languages, algorithms, mathematical and statistical models, and the principles of optimisation to formulate and use data analysis in diverse sectors.
Integrate concepts of data science and mathematics to contribute towards key technologies including data mining, machine learning, visualisation, predictive modelling and statistics.
Engage in lifelong learning and employ technical knowledge to address economic, environmental, health, national, global, cultural, societal and sustainability issues.
Eligibility for Admission
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.
Semester Fee
₹70,000
Total Programme Fee
Early bird offers available
₹1,80,000*
*The above discounted fee is applicable for the July 2026 batch admissions.
Programme Fees & Payment Options
Fee Includes
- Interactive learning content and Self Learning Materials (SLM)
- Live interactive sessions with Industry experts
- Semester exam fees for all 4 semesters
- Convocation Fee
Fee Does Not Include
- Re-exam fees for subsequent attempts
- Any other administrative charges that are not covered above
Payment Options
Option 1
Make a down payment of Rs.20000 and avail loan/financial assistance for the balance fee.
Option 2
Pay Semester fee on or before the specified last date.
Option 3
Pay the full programme fee on or before the specified last date.
Earn Your SASTRA M.Sc Data Science degree.
Make It Count.
Your degree is earned — not handed out. SASTRA holds its graduates to a standard that employers respect.
- Every assignment is an opportunity to solve a business challenge.
- Every project is designed to strengthen your professional capabilities.
- Graduate with a SASTRA Online M.Sc. Data Science degree, supported by practical learning, hands-on projects and exposure to real-world data science applications that prepare you for evolving career opportunities.
Job Opportunities
Data Scientist
Data Analyst
Data Engineer
AI Research Scientist
Big Data Analyst
Quantitative Analyst
Data Architect
Statistics Analyst
ML Engineer
BI Analyst
Career Paths & Hiring Companies in the Industry
About SASTRA University
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 #29 in 2025. It is also recognized as a Scientific & Industrial Research Organization by the Government of India.
Programme FAQ's
Yes. All online postgraduate programs from SASTRA are UGC-entitled and AICTE-approved where applicable. SASTRA holds a NAAC A++ accreditation and a top NIRF ranking, meaning your online degree carries identical value, credibility, and equivalence to an on-campus degree.
SASTRA Online offers two-year Master’s degrees including Online MSC. DATA SCIENCE fully online.
No entrance exam is required for most online programs. Admissions are purely merit-based and evaluated against your undergraduate academic background.
Graduated from a recognized university+
Educational pathways: 10+2+3, 10+2+4
Semester Fee: ₹70,000 (Pay semester-wise) OR Total Programme Fee: ₹1,80,000* for the 2 year programme( Early Bird Offers available)
Yes, students can choose between attractive loan options. Speak to our consellor to know more.
Learning is completely flexible and tailored for working professionals. The curriculum is delivered via SASTRA’s custom Learning Management System (LMS), which includes recorded e-tutorials, e-content, and continuous virtual assessments. Live interactive webinars are hosted by the faculty.
Exams and continuous assessments are managed securely over the digital platform. They will be conducted online. You will receive regular notifications on your student portal regarding submission deadlines and online proctored examination windows.
SASTRA Online offers career support services that enable a learner to ensure employment readiness.