MSc Data Science

Programme Overview

The Master of Science in Data Science (M.Sc. DS) is a future-focused, two-year full-time postgraduate programme crafted to develop data-driven problem solvers, analytical thinkers, and innovation-ready professionals equipped to lead in today’s digital world. This dynamic curriculum combines academic rigour with practical relevance, empowering learners to extract insights, make informed decisions, and drive transformation across diverse sectors using the power of data.

Rooted in the National Education Policy (NEP) 2020 philosophy, the programme integrates a multidisciplinary, research-intensive framework that aligns with the evolving demands of industry, society, and technology. It provides multiple crow and specialization tracks like Big Data Analytics, AI & Machine Learning, Business Intelligence, Health Analytics, and Social Network Analysis, allowing learners to personalize their academic pathways based on their aspirations.

A key highlight of this programme is the mandatory industry internship, which ensures students gain experiential learning and exposure to real-world data challenges, tools, and ecosystems. The curriculum also includes a capstone project or dissertation, promoting research and innovation.

Key Highlights of the programme

Industry-aligned curriculum with real-time tools like Python, R, Power BI, Hadoop, Spark, Tableau, Informatica, and Talend
Hands-on experience through industry internship, hackathons, and case-based pedagogy
Research-driven learning environment fostering data ethics, sustainability, and innovation
Strong career pathways across healthcare, finance, government, tech startups, and more
Career support via resume building, technical mentoring, and placement assistance
Exposure to cloud computing, data engineering, social media analytics, and AI solutions

Key Information

Duration

2 Year

Programme Code

ST4436

Mode of study

Full time

Campus

Vidyavihar - Mumbai

Institute

Somaiya School of Basic and Applied Sciences

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Programme Objectives

Pedagogy

Scope

Curriculum

Graduate Attributes

Programme Objectives

Cultivate analytical and computational intelligence to solve real-world, cross-disciplinary challenges using data.
Strengthen theoretical foundations and applied knowledge in core areas such as statistics, machine learning, data engineering, and visualization.
Equip learners with mastery of industry-relevant tools and platforms, including open-source technologies and advanced data processing software.
Nurture lifelong learners who are adaptable to fast-changing technology and are capable of independently acquiring new skills.
Encourage socially and ethically responsible data use, fostering sustainable and inclusive digital practices.
Ignite entrepreneurial spirit and foster problem-solving mindsets to contribute to India’s innovation ecosystem.
Enable interdisciplinary fluency, allowing professionals to collaborate across domains such as healthcare, business, climate, and policy.

Pedagogy

The M.Sc. Data Science programme adopts a learner-centric, technology-enabled, and experiential learning model, deeply inspired by NEP 2020. The pedagogy integrates:

Active and collaborative learning through live projects and simulations
Project-based assessments.
Interdisciplinary learning through elective flexibility and cross-domain collaborations
Use of MOOCs, open-source platforms, and blended learning techniques
Continuous mentoring, peer learning, and portfolio building

Scope

Graduates of M.Sc. Data Science are equipped with a robust foundation in data modeling, computation, and real-world problem solving, making them highly employable across both public and private sectors:

Public Sector Roles

Data Scientist in e-Governance & Policy Analytics
Analysts in Healthcare, Agriculture, Urban Planning
Research and Innovation Fellows in Government Think Tanks
Digital Economy Experts in Public Service Commissions

Private Sector Opportunities

Data Analyst / Data Scientist in Tech, Healthcare, FinTech, Retail
Machine Learning Engineer / AI Specialist
Cloud Data Engineer / ETL Developer
Business Intelligence Analyst / Visualization Expert
Data Consultant in Banking, FMCG, and Telecom

Entrepreneurship and Academia

Launch your data-centric startup in EdTech, HealthTech, AgriTech, etc.
Advance into Ph.D. and research roles in Data Science and allied fields
Innovate and publish with access to cutting-edge labs, datasets, and toolsr

Be Future-Ready with M.Sc. Data Science
This programme is more than just a degree — it's a launchpad into the world of data-driven innovation. With a perfect blend of theory, tools, ethics, and industry immersion, our M.Sc. Data Science prepares you for the jobs of tomorrow, research of today, and innovations of the future.

Curriculum

Semester I	Semester II
Core Course (CC)	Core Course (CC)
Research Methodology for Data Scientist	Modern NLP: Techniques, Tools, and Applications
Statistical Techniques for Data Science	Time Series and Forecasting
Machine Learning: Foundations to Advanced Techniques	Data Governance and Compliance
Data Engineering Concepts	Data Visualization and Storytelling