B.Sc. Data Science

Department of Computer Applications

Vision

To develop globally competent data science professionals equipped with analytical thinking, technological expertise, and ethical values to solve real-world problems and contribute to solving regional, national, and global problems across diverse sectors.

Mission

To provide a vibrant and inclusive learning environment that builds strong foundations in data science through experiential learning and research. The program aims to develop industry-ready graduates who apply data-driven solutions to societal needs, uphold global standards, embrace multidisciplinary perspectives, and demonstrate ethical and value-based decision-making.

B.Sc. Data Science

Programme Educational Objectives (PEOs)

  • Graduates will develop strong foundations in statistics, analytics, computing, and data science tools to become competent professionals capable of solving real-world data-driven problems.

  • Graduates will apply experiential learning, research-oriented thinking, and innovative approaches to create responsible, ethical, and sustainable data-driven solutions for regional, national, and global challenges.

  • Graduates will continually upgrade their knowledge and skills to adapt to emerging technologies, multidisciplinary domains, and global trends, ensuring long-term employability.

  • Apply statistical, analytical, and computational methods to collect, process, and interpret complex datasets for effective problem-solving.

  • Demonstrate proficiency in modern data science tools, programming languages, and machine learning techniques to build ethical and sustainable data-driven solutions.

  • Integrate data science concepts with multidisciplinary domains to develop innovative insights and address real-world industry and societal challenges.

  • Evaluate data models, algorithms, and visualization techniques to support informed decision-making and promote responsible, value-based practices.

Visit Department
Faculty Page
Scroll to Top