B.Sc. Data Science
Department of Computer Applications
Department of
Computer Applications
Vision
To cultivate innovative, future-ready computing professionals through a dynamic learning environment that inspires creativity, nurtures critical thinking, and empowers students to design impactful digital solutions for a rapidly evolving world.
Mission
- It nurtures students into skilled, innovative, and industry-ready computer professionals through hands-on learning, projects, and workshops.
- It fosters creativity, research aptitude, and problem-solving through hackathons, seminars, and industry collaborations.
- The program develops ethical, competent, and confident professionals equipped to meet evolving technological and societal challenges.
- It inspires lifelong learning and encourages students to create impactful, data-driven solutions with regional, national, and global relevance.
Programme Educational Objectives (PEOs)
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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.
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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.
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Graduates will continually upgrade their knowledge and skills to adapt to emerging technologies, multidisciplinary domains, and global trends, ensuring long-term employability.
Programme Specific Outcomes (PSOs)
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Apply statistical, analytical, and computational methods to collect, process, and interpret complex datasets for effective problem-solving.
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Demonstrate proficiency in modern data science tools, programming languages, and machine learning techniques to build ethical and sustainable data-driven solutions.
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Integrate data science concepts with multidisciplinary domains to develop innovative insights and address real-world industry and societal challenges.
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Evaluate data models, algorithms, and visualization techniques to support informed decision-making and promote responsible, value-based practices.