Online Master's Programme
Online M.Sc. Data Science from SASTRA University
Build advanced data-driven skills for the world of analytics, machine learning, computational methods and intelligent decision-making.
24
Months
4
Semesters
80
Credits
Online
Learning
Admissions Open
Start Your Journey
Get programme details from our admissions team.
A++
NAAC Accreditation
UGC
Entitled Programme
24
Months Duration
80
Total Credits
Learn to turn data into decisions.
The online M.Sc. Data Science programme is designed to develop the analytical, computational and problem-solving capabilities required to work with modern data.
The programme combines conceptual learning with practical approaches to data analysis, modelling and computational problem solving.
Data Analytics
Develop structured approaches for understanding and analysing data.
Computational Thinking
Build computational approaches for solving real-world problems.
Statistical Modelling
Strengthen analytical and statistical reasoning for data-driven work.
Practical Application
Apply learning to projects and practical data problems.
A learning experience built for the modern data professional.
Learn through a structured online environment while balancing professional and personal commitments.
Flexible Learning
Designed for learners who need flexibility alongside work or other commitments.
Digital Learning Content
Access structured digital learning material and recorded learning resources.
Interactive Sessions
Participate in interactive webinars and scheduled academic sessions.
Continuous Assessment
Reinforce learning through assignments, assessments and examinations.
Self-Learning Resources
Structured self-learning material supports independent study throughout the programme.
Career Support
Access career-oriented support services provided through the online programme ecosystem.
Programme Focus
Think analytically. Build computationally.
Develop the conceptual foundation and practical capabilities required to work with data and solve complex problems.
Build capabilities that matter in data science.
Analytical reasoning
Develop analytical approaches to understand complex data problems.
Data management
Understand methods for organising, managing and working with data.
Modelling and computation
Develop computational and modelling approaches for real-world applications.
Problem solving
Apply data-driven approaches to practical and professional problems.
A structured 4-semester journey.
The programme is structured across four semesters and carries a total of 80 credits.
Semester 01
Core foundations
20
Credits
Explore specialised areas.
Elective areas allow learners to explore specialised applications of data science.
Learn online. Stay connected.
The programme combines digital learning resources, self-learning and interactive academic activities.
Online-first learning environment
Designed to support flexible study while maintaining structured academic engagement.
e-Tutorial & e-Content
Structured digital learning resources support self-paced learning.
Video Learning
Weekly learning content helps learners progress through the curriculum.
Interactive Webinars
Interactive sessions provide opportunities for academic engagement and clarification.
Assessments
Online assignments and examinations provide structured evaluation throughout the programme.
Build a strong data mindset.
Develop the analytical and computational foundation needed to work across modern data-driven environments.
Data Management
Structured data workflows
Analytics
Analytical problem solving
Modelling
Data-driven models
Computational Methods
Computational approaches
Visualization
Communicate insights
Applied Learning
Practical problem solving
Graduate with data-driven confidence.
The programme is designed to help learners develop the knowledge and capabilities needed to apply data science approaches in professional, academic and research environments.
Analytical Skills
Apply structured analytical thinking to data-driven problems.
Data Problem Solving
Approach practical problems using data and computational methods.
Modelling
Understand modelling approaches used in data science applications.
Professional Readiness
Build capabilities applicable to data-focused professional environments.
Check if you qualify.
Applicants should meet the programme's prescribed academic eligibility requirements.
Graduate / Bachelor's degree from a recognised university.
10+2+3 or 10+2+4 or equivalent educational pathway.
Background in Mathematics or Statistics.
2
Years
4
Semesters
80
Credits
Online
Mode
Simple, transparent programme pricing.
Fee information displayed below is for the online M.Sc. Data Science programme.
Regular Programme Fee
Discounted Programme Fee
Fee offers and discounts may be batch-specific and subject to applicable programme terms. Please confirm the applicable fee with the admissions team before payment.
Programme Support
- Interactive learning resources
- Self-learning materials
- Interactive academic sessions
- Assessments and examination support
- Career support services
Assessment Structure
30
Internal Assessment
70
End Semester Examination
Assessment methods are conducted according to applicable university programme guidelines.
Where can Data Science take you?
Build capabilities applicable to a range of data-focused roles across industry, research and analytical environments.
Career Support
Prepare for the next stage of your career.
SASTRA Online provides career services support, including career guidance and related professional development assistance.
A university legacy behind your degree.
SASTRA has a long-standing academic presence spanning engineering, management, law, sciences, humanities and education.
The university was founded in 1984 and has developed into a multidisciplinary institution with undergraduate, postgraduate and doctoral programmes.
University foundation
Four decades of academic development.
NAAC accreditation
Highest NAAC grade.
UGC Category
Category I institution.
Years of excellence
Academic journey since 1984.
Frequently asked questions.
Your future is data-driven.
Take the next step towards an advanced qualification in Data Science from SASTRA.