KR Mangalam University Gurugram, Haryana

B.Tech. Computer Science and Engineering (Data Science) – Lateral Entry

(with Academic Support of IBM)

About the Programme

The B.Tech. Computer Science and Engineering (Data Science) – Lateral Entry programme is a three-year undergraduate programme designed for diploma holders or eligible candidates who gain direct admission into the second year of the B.Tech curriculum. Offered with academic support from IBM, the programme emphasizes data-driven problem solving, analytical thinking and industry-relevant data science practices.

The curriculum combines core computer science subjects with specialized learning in data science, statistics, machine learning and big data technologies. Students gain practical exposure through hands-on labs, real-world datasets, industry tools and project-based learning, enabling them to solve complex analytical and business 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 Development

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 skills, data handling expertise and industry-aligned technical knowledge required to work with large datasets and analytics-driven systems. Graduates are prepared for professional roles in data-centric industries or for pursuing advanced studies in data science and allied domains.

Summary

The B.Tech. Computer Science and Engineering (Data Science) – Lateral Entry programme with academic support of IBM offers an accelerated academic pathway with a strong focus on analytics, practical learning and industry relevance, enabling students to build successful careers in the data-driven technology ecosystem.