Master of Science

M.Sc. Data Science is a post-graduate degree program in the School of Basic and Applied Sciences of SGT University, which prepares advanced skills in the area of data-driven analysis, artificial intelligence, and intelligent decision support systems. The program combines the statistical background, advanced programming, machine learning, artificial intelligence, and industry-focused analytics and students can solve complicated real-life problems through data science practices.

The M.Sc. Data Science program takes 2 years (4 semesters) and adheres to a strict academic program that incorporates a balanced approach to theoretical in-depth, computational skills, research, and experience in the industry. It focuses on higher-level Python programming, machine learning, deep learning, database and query languages, and AI-driven analytics, which combine to equip graduates with professional practice and doctoral-level research.

The program will support responsible AI activities, reproducible research, and ethical use of data, as well as innovation, interdisciplinary thinking, and collaboration with the industry.

M.Sc. Data Science Modules

The M.Sc. Data Science curriculum is carefully structured to provide progressive learning from core concepts to advanced applications and industry integration. Key areas of course modules include:

• Advanced Probability and Statistical Learning
• Advanced Python Programming for Data Science
• Machine Learning, Deep Learning and Artificial Intelligence
• Database Systems and Query Languages (SQL/NoSQL)
• Generative AI, Large Language Models, and Prompt Engineering
• Data Analytics & Applications (DAA) Laboratory with Industry Experts
• Research Methodology and Applied Data Science Project

The program is spread over  four semesters, with increasing emphasis on hands-on laboratories, case studies, industrial datasets, and a capstone research/industry project in the final semester.

M.Sc. Data Science Subjects

The program includes theoretical courses, advanced laboratories, and applied research components. Some of the core subjects include:

• Advanced Statistical Methods for Data Science
• Advanced Python Programming and Scientific Computing
• Machine Learning Algorithms and Model Evaluation
• Artificial Intelligence and Intelligent Systems
• Deep Learning (CNNs, RNNs, Transformers)
• Database Management Systems and Query Languages
• Generative AI and Prompt Engineering Techniques
• Data Analytics and Applications (DAA) Lab (Industry-led)
• Research Methodology, Scientific Writing, and AI-assisted Research
• Dissertation / Industry-oriented Capstone Project, 

M.Sc. Data Science Admission 2026

SGT University, a leading institution for education in northern India, invites applications for admission to the M.Sc. Data Science program.

Eligibility Criteria:

Bachelor’s degree in any discipline with Mathematics / Statistics / Computer Science as one of the subjects in at least one semester OR an equivalent degree from a recognized university with minimum 55% aggregate marks

Top M.Sc. Data Science College in India

SGT University is recognized as one of the emerging institution of excellence in higher education in India, particularly in the Delhi NCR and Haryana region. The university offers:

• Highly qualified faculty with strong research and industry backgrounds
• Advanced computing laboratories and licensed data science software such as MATLAB & SPSS.
• Industry-led Data Analytics & Applications (DAA) Lab
• Curriculum aligned with current industry and research trends
• Strong mentoring for higher studies and career progression

Students benefit from industry internships, live projects, expert lectures, and placement assistance, making them industry-ready data professionals.

Quick Facts

The Master of Science (M.Sc.) Data Science at SGT University is a 2-year, 4-semester postgraduate program with a course fee of INR 1,50,000 per annum. The program is designed for graduates seeking careers in data analytics, artificial intelligence, machine learning, and research. Graduates are well-prepared for roles in industry, research organizations, and doctoral programs in India and abroad.