CSE Data Science

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Vision

To set the standard for Data Science education in the Twenty-First century by cultivating innovative, socially responsible, and globally competent professionals through an intellectually rigorous and transformative learning experience. we empower students to harness the power of data to advance impactful research, drive technological progress, and foster sustainable innovation across diverse industries towards the growth of a data-driven society.

Mission

  • The Department is committed to educating and transforming students by equipping them with in-depth knowledge of Data Science concepts, tools, and techniques.
  • Nurture their talents through a research-driven, industry-aligned curriculum and foster critical thinking, innovation, and problem-solving skills.
  • Support state-of-the-art infrastructure, and real-world exposure to guide students to utilize their abilities for societal welfare, ethical practice, and technological progress.
  • Encourages holistic development through co-curricular and extracurricular engagement, preparing them to contribute meaningfully to a data-driven future.

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Program Highlights

Innovative Learning Environment

  • Student-centered teaching with a focus on deep learning and project-based pedagogy.
  • A curriculum tailored to emerging industry trends and technological advancements.
  • Hybrid and blended learning methodologies integrated from the first year.

    • Practical Exposure

  • Strong focus on hands-on experience through mini-projects and a final year capstone project aligned with societal, research-based, or industry needs.
  • Internship opportunities at leading companies, R&D labs, government agencies, and academic institutions.

    • Entrepreneurship and Flexibility

  • A startup ecosystem that supports turning ideas into viable business ventures.
  • Exposure to liberal arts, foundation courses, and customizable electives to support interdisciplinary thinking.
  • Encouragement for students to participate in MOOCs, research, and collaborative projects.

    • Holistic Skill Development

  • Emphasis on communication, collaboration, creativity, and design-oriented thinking.
  • Opportunities for co-curricular involvement, coding clubs, data science hackathons, and technical symposiums.
  • Curriculum structured to foster 21st-century skills and prepare students for future-ready careers in a data-driven global economy.

    • The Bachelor of Engineering in Computer Science and Engineering with a specialization in Data Science is a dynamic 4-year undergraduate program designed to prepare students for the data-driven demands of the 21st century. Integrating the core principles of computer science with advanced data science techniques, this program builds a strong theoretical foundation while emphasizing real-world problem-solving.

    Students explore a comprehensive curriculum that spans machine learning, data mining, big data technologies, statistics, algorithms, data structures, and data visualization. Through hands-on projects, internships, and industry collaboration, they gain the practical expertise and strategic thinking required to convert raw data into impactful insights.

    The program emphasizes five core pillars:

  • Machine Learning Techniques - Mastering supervised, unsupervised, and reinforcement learning models.
  • Algorithms and Tools - Proficiency in Python, R, TensorFlow, Hadoop, and more.
  • Business Acumen - Aligning technical solutions with business goals and decision-making.
  • Mathematics - Strengthening analytical thinking through calculus, linear algebra, probability, and statistics.
  • Data Inference - Extracting actionable insights using analytical and statistical reasoning.

    • With a curriculum designed to foster critical thinking, entrepreneurship, interdisciplinary research, and technological innovation, the department ensures that students are future-ready, industry-aligned, and socially responsible data science professionals.

    Dr Athokpam Bikramjit Singh

    Dr Athokpam Bikramjit Singh

    Designation : Professor

    Qualification : PhD

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    Program Educational Objectives (PEO's):
    1. Technical Proficiency and Problem Solving: Graduates will build a strong foundation in computer science, data science, and engineering principles, enabling them to effectively analyze complex problems and develop innovative, data-driven solutions.
    2. Professional Development and Career Readiness: Graduates will be equipped to pursue successful careers in industry, academia, or entrepreneurship by applying their technical skills, communication abilities, and collaborative mindset in real-world settings.
    3. Lifelong Learning and Ethical Leadership: Graduates will engage in continuous learning to adapt to emerging technologies and trends in data science, while demonstrating ethical responsibility, social awareness, and a commitment to positively impacting society.
    Program Specific Outcomes (PSO's):
    1. Data Science and Analytical Proficiency: Graduates will be able to apply statistical methods, machine learning algorithms, and data engineering techniques to collect, process, analyze, and interpret large-scale data for informed decision-making and problem-solving in real-world applications.
    2. Ethical Computing and Innovation: Graduates will demonstrate the ability to design and deploy data-centric systems and solutions with a strong sense of ethical responsibility, considering privacy, fairness, and societal impact, while embracing lifelong learning and emerging technologies.
    Sl No Academic Year Total Offers
    1 2017-18 23
    2 2018-19 46
    3 2019-20 30
    4 2020-21 13
    5 2021-22 14
    6 2022-23 17
    7 2023-24 27

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