The Bachelor of Science (B.Sc.) in Data Science is a dynamic three-year undergraduate programme structured across six semesters. The programme is designed to equip students with strong foundations in data analytics, statistical methods, computer programming, and machine learning, enabling them to transform raw data into meaningful insights for decision-making.

This interdisciplinary programme integrates concepts from computer science, statistics, mathematics, and artificial intelligence to help students understand how data can be collected, processed, analyzed, and interpreted. Students gain knowledge in areas such as data visualization, predictive analytics, database management, programming languages, and machine learning techniques, preparing them to address real-world challenges using data-driven approaches.

The curriculum emphasizes both theoretical understanding and practical application through laboratory sessions, coding assignments, case studies, and project-based learning. In the fifth semester, students undertake Skill Enhancement Courses (SECs) that strengthen their technical and analytical capabilities while enhancing employability. The sixth semester is dedicated to internships, research projects, or industry-oriented training, providing hands-on experience in real-world data science applications.

The programme is carefully designed to meet the increasing demand for skilled data professionals across industries such as information technology, finance, healthcare, marketing, research, and business analytics. Students develop strong analytical thinking, programming proficiency, and problem-solving skills that are essential in the modern data-driven world.

Graduates of B.Sc Data Science can pursue diverse career opportunities as Data Analysts, Business Intelligence Analysts, Data Engineers, Machine Learning Assistants, Research Analysts, and Statistical Analysts. The programme also provides a solid academic foundation for higher studies in Data Science, Artificial Intelligence, Machine Learning, Data Analytics, Computer Science, and related fields.