Prestigious University Degree
Gain a recognized Masters' degree from top ranked SASTRA University, with a University ranking of #29 in NIRF 2025.
Online M.Sc Data Science Overview
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 Online 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 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.
Online M.Sc. Course Highlights
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.
Download BrochureOnline M.SC. Data Science Program Objective
Train learners to demonstrate proficiency with statistical analysis of data.
Online M.Sc in Data Science equips graduates with the necessary skills to execute statistical analyses with professional statistical software.
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.
Equip graduates with the capability to design, implement and test computational approaches to develop innovative and effective solutions for diverse sectors.
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.
Curriculum & Subjects
| 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 |
Data Science Programming Languages
Data Visualisation
Python
SQL
Big Data Mining & Analytics
R
Machine Learning
Deep Learning
Online Learning Methodology
A pre-recorded video of an expert delivering a lesson or presentation on a particular topic.
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.
Online M.SC. Data Science Eligibility Criteria
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.
Salient Features
Strong brand image of SASTRA in the corporate sector
Semester-pattern
Interactive learning content and Self Learning Materials (SLM)
Personal Contact classes
Highly qualified and experienced faculty
Affordable fee structure with loan facility at attractive rates
Internal Assessment – 30 marks + End semester Exam – 70 marks
Credits Distribution
| Semester | I | II | III | IV | Total |
|---|---|---|---|---|---|
| Courses | 5 | 6 | 5 | 4 | 20 |
| Credits | 20 | 20 | 20 | 20 | 80 |
Programme Fees
For Students in India
Semester Fee
INR 60,000
Yearly Fee
INR 1,20,000
INR 90,000*
Total Programme Fee (2 years)
INR 2,40,000
INR 1,60,000*
*The above discounted fee is applicable for the July 2026 batch admissions.
Fee Includes
Interactive learning content and Self Learning Materials (SLM)
Live interactive sessions with SASTRA faculty and contact classes as specified
Semester exam fees for all 4 semesters
Convocation Fee
Fee Does Not Include
Re-exam fees for any subsequent attempts
Any other administrative charges that are not covered above
Payment Options
1
Make a down payment of Rs.20000 and avail loan/financial assistance for the balance fee.
2
Pay Semester fee on or before the specified last date.
3
Pay the annual fee upfront on or before the specified last date.
4
Pay the full programme fee on or before the specified last date.
Ready to secure your seat?
Complete your registration form today — the July 2026 batch.
M.Sc Data Science Degree from Sastra
Throughout the online 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:
Successfully complete all assessment components.
Meet the specified attendance criteria.
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.
Download Sample Certificate
Careers after Online M.Sc. in Data Science
Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Data Engineer
AI Research Scientist
Big Data Analyst
Quantitative Analyst
Data Architect
Statistics 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.
Frequently Asked Questions
To apply for the SASTRA Online 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 Online M.Sc Data Science fees are ₹60,000 per semester, totaling ₹2,40,000 for 2 years. For the July 2026 admission batch, a limited-time discounted fee of ₹1,60,000 is available, making it one of the most affordable online M.Sc in Data Science programs in India.
SASTRA provides structured academic support through faculty-led sessions, access to expert mentors, discussion forums, and regular feedback on assessments. Learners can also attend live webinars and interact with instructors through the Learning Management System (LMS).
Graduates of the online Data Science master's program from SASTRA can pursue high-demand roles like:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- AI and Big Data Consultant
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 Online M.Sc Data Science colleges and tech sectors.
The program spans 2 years (4 semesters). This structure is aligned with most Online 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 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 Online M.Sc Data Science colleges in India.
Yes, the curriculum includes practical assignments, capstone projects, and case studies. These components are designed to help learners apply concepts in real-world scenarios and build hands-on experience with tools and techniques used in the field of data science.