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Admission Open 2026

About

The Bachelor of Technology (B.Tech) in Data Science at Netaji Subhas University is a future-focused undergraduate program designed to equip students with comprehensive knowledge of data analytics, artificial intelligence, machine learning, statistical computing, and big data technologies. The program prepares students to transform complex data into meaningful insights and develop innovative solutions for data-driven industries.

The curriculum combines strong foundations in computer science, mathematics, and statistics with advanced topics such as Machine Learning, Deep Learning, Big Data Analytics, Data Visualization, Artificial Intelligence, Cloud Computing, and Natural Language Processing. Through hands-on training, real-world projects, industry exposure, and practical learning, students develop the technical and analytical skills required for careers in data science, AI, analytics, research, and technology.

Why Choose NSU for B.Tech in Data Science?

  • Industry-Aligned Curriculum with a strong focus on Data Science, AI, ML, and Big Data
  • Experienced Faculty from IITs, NITs, and Premier Institutes
  • Advanced Data Science & AI Labs, Coding Clubs, and Hackathons
  • Industry Tie-ups for Internships, Live Projects, and Placement Opportunities
  • Hands-on Learning through Real-World Data Projects and Case Studies
  • Startup & Innovation Support through the University’s Incubation Center

Syllabus

  • Passed 10+2 with Physics, Chemistry, and Mathematics from a recognized board
  • Minimum 45–50% aggregate marks (as per university norms)
  • Admission may be based on entrance exams or merit
  • Candidates who possess three-year diploma course in engineering can enrol in B.Tech under Lateral-Entry Scheme.

Career Path

Graduates of B.Tech in Data Science are in high demand across global tech giants, startups, research organizations, and government sectors. With the IT industry evolving rapidly, the degree offers exciting roles in areas like software development, data science, cybersecurity, and cloud architecture.

Students can also pursue higher education (M.Tech, MS, MBA) or crack competitive exams like GATE, CAT, and GRE to explore further academic and professional opportunities.

  • Software Development (Software Engineer, Full-Stack Developer)
  • Data Science & AI (Data Scientist, AI Engineer, Machine Learning Engineer)
  • Cloud Computing & IoT (Cloud Architect, IoT Developer)
  • Entrepreneurship & Research (Tech Startups, Academic Research)