About the Programme
Data Science is popular in all academia, business sectors, and research and development to make effective decisions in day-to-day activities. The Master of Data Science (MDS) is a postgraduate program that combines computer science and statistics to foster proficiency in data-driven decision-making. It is a two-year course comprising six trimesters.
This programme aims to provide opportunity to all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in theory of data science with hands-on experience in relevant domains and tools. Candidates gain exposure to research models and industry standard applications in data science through guest lectures, seminars, projects, internships, etc.
Comprehensive Curriculum
The programme offers a balanced curriculum covering theoretical concepts and practical applications in data science. Students gain knowledge in areas such as data analytics, machine learning, statistical modelling, artificial intelligence, and data visualization.
Hands-on and Application-Oriented Learning
The curriculum emphasizes experiential learning through practical sessions, laboratory work, projects, and case studies. Students develop technical skills by working with industry-relevant tools, technologies, and datasets.
Research-Focused Education
The programme encourages research aptitude and innovation by exposing students to advanced research methodologies and emerging trends in data science. Students participate in seminars, workshops, and research-based activities to strengthen analytical and critical thinking abilities.
Industry Exposure and Career Opportunities
Students gain exposure to real-world industry practices through guest lectures, internships, live projects, and interactions with industry experts. This helps bridge the gap between academic learning and professional requirements in the field of data science. Data Science graduates can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Research Associate etc.
Why Choose This Programme?
Strong Foundation in Data Science
Build comprehensive knowledge in statistics, computer science, mathematics, and data analytics to understand and solve complex data-driven problems.
Theory and Hands-on Learning
Experience a balanced curriculum that combines conceptual understanding with practical training using industry-relevant tools, technologies, and datasets.
Advanced Analytics and AI Skills
Develop expertise in machine learning, artificial intelligence, predictive analytics, data visualization, and big data technologies for modern decision-making.
Research-Oriented Curriculum
Cultivate research aptitude through exposure to research methodologies, academic projects, and data-driven investigations addressing real-world challenges.
Industry Exposure and Professional Development
Gain practical insights through internships, guest lectures, seminars, workshops, and interactions with industry experts and researchers.
Career-Ready and Future-Focused
Enhance employability through projects, electives, and experiential learning that prepare graduates for careers in data science, analytics, consulting, research, and technology sectors.
Choose Your Track
Data Analyst Business Intelligence (BI) Analyst Big Data Analyst Quantitative Analyst (Quant)
Data Scientist Machine Learning Engineer Artificial Intelligence (AI) Engineer Data Engineer NLP Engineer Computer Vision Engineer
Research Scientist / Research Associate Academic & PhD Career Path
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Trimester 1 — Foundational Concepts in Data Science
Trimester 4 — AI, Deep Learning, and Emerging Technologies
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
I & II Trimesters: Data Analyst Junior Data Analyst Reporting Analyst Business Analytics Associate
III & IV Trimesters: Business Intelligence (BI) Analyst Big Data Analyst
V & VI Trimesters: Quantitative Analyst (Quant) Senior Business Intelligence Analyst Advanced Analytics Specialist
I & II Trimesters: Data Analyst Junior Data Scientist Business Intelligence Analyst Analytics Associate
III & IV Trimesters: Data Scientist Machine Learning Engineer Data Engineer
V & VI Trimesters: Artificial Intelligence (AI) Engineer NLP Engineer Computer Vision Engineer Research Engineer (AI/ML)
I & II Trimesters: Research Assistant Academic Project Assistant Scientific Writing and Literature Review Trainee
III & IV Trimesters: Research Associate Junior Research Scientist Innovation and Development Associate
V & VI Trimesters: Research Scientist Academic & PhD Career Path Research and Innovation Fellow
Message from the HOD
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-12-06 23:45:00.