Master's degreeOnline · live classesOn campus
MSc Data Science
Statistics, machine learning and data engineering at postgraduate depth, finished with a real-world industry capstone.
Apply nowApproved & recognised by the University of Mysore
Duration
18 months · 4 terms
Credits
90 credits
Time commitment
20–25 hrs/week
Intakes
Rolling admissions — multiple intakes per year
About this programme
A postgraduate degree that produces well-rounded data scientists: strong in statistics and machine learning, capable in data engineering, and able to communicate results to decision-makers. The curriculum moves from statistical inference and Python through machine learning, data mining and visualisation, into electives across NLP, cloud and experimentation — and ends with a team capstone where you build a real data product end to end.
What you'll learn
Apply statistical inference and experiment design to real problems
Build, tune and validate machine learning models at scale
Engineer reliable data pipelines on cloud and big data platforms
Mine large datasets for patterns and actionable insight
Tell compelling, honest stories with data visualisation
Deliver a complete data product with an industry capstone
Curriculum
Term 1
Foundations- Python for Data Science
- Statistical Inference
- Data Engineering Fundamentals
Term 2
Core methods- Machine Learning
- Data Mining
- Data Visualisation & Storytelling
- Ethics, Privacy & Data Governance
Term 3
Advanced applications (choose 3)- Natural Language Processing
- Cloud Computing & Big Data Systems
- Deep Learning
- Experiment Design & Causal Inference
- Applied Forecasting
Term 4
Capstone- Capstone Preparation & Research Methods
- Industry Capstone Project (team-based, real dataset)
Careers this prepares you for
Data ScientistSenior Data AnalystData EngineerAnalytics ConsultantProduct Data Scientist
Admission requirements
- Bachelor's degree in any discipline (quantitative background helpful; Term 1 levels the field)
- English proficiency (instruction is in English)
- Statement of purpose describing your goals with data