KR Mangalam University Gurugram, Haryana

B.Tech. Computer Science and Engineering (Data Science)

(with Academic Support of IBM)

About the Programme

The B.Tech. Computer Science and Engineering (Data Science) is a four-year undergraduate programme designed to develop professionals with strong analytical, computational and data-driven decision-making skills. Offered with academic support from IBM, the programme aligns academic learning with industry-relevant tools, platforms and methodologies used in data analytics and data science.

The curriculum integrates core computer science subjects with specialized training in data science, statistics, machine learning and big data technologies. Students gain hands-on exposure through laboratories, real-world datasets, industry tools and project-based learning to solve complex business and technological problems.

Programme Highlights

Programme Fee Structure

Key Learning Areas

• Data Science Fundamentals

• Statistical Analysis and Probability

• Machine Learning Techniques

• Data Mining and Predictive Analytics

• Big Data Technologies

• Python and Data Analytics Tools

• IBM Data Science Platforms

• Industry Projects and Capstone Work

Career Opportunities

Graduates of this programme can pursue careers as:

• Data Scientist

• Data Analyst

• Business Intelligence Analyst

• Machine Learning Engineer

• Data Engineer

• Analytics Consultant

• Research Analyst

• Higher Studies and Research in Data Science

Programme Outcomes

The programme equips students with strong analytical thinking, data handling skills and industry-aligned technical knowledge required to work with large datasets and data-driven systems. Graduates are prepared for professional roles in analytics-driven industries or for pursuing advanced studies in data science and allied fields.

Summary

The B.Tech. Computer Science and Engineering (Data Science) programme with academic support of IBM offers a robust combination of engineering education, data analytics expertise and industry exposure, preparing students for high-demand careers in the data-driven technology ecosystem.