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Admission Open 2025

About

The Bachelor of Technology (B.Tech) in CSE (Artificial Intelligence and Machine Learning) at Netaji Subhas University is a cutting-edge undergraduate program tailored to prepare students for the era of intelligent systems. This specialization focuses on developing smart machines and algorithms that can mimic human intelligence to solve complex problems.

The curriculum blends foundational computer science subjects with advanced courses in AI algorithms, deep learning, natural language processing (NLP), neural networks, robotics, and data analytics. Students are exposed to real-world projects, AI tools, and platforms like TensorFlow, Python, R, and OpenCV, making them industry-ready professionals.

Why Choose NSU for B.Tech in CSE (AI & ML)?

  • Industry-Aligned Curriculum in AI, ML, Deep Learning & Data Science
  • Hands-On Training with Real Datasets and Cloud Platforms
  • Project-Based Learning & Research Opportunities in Smart Technologies
  • Access to High-Performance Computing Labs & AI Tools
  • Mentorship by Experienced Faculty & Data Scientists
Faculty Image of Prashant Pradhan
Mr. Prashant Pradhan

HOD (Department of CSE)

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Syllabus

Eligibility Criteria

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

Career Path

A B.Tech in CSE (AI & ML) opens dynamic career paths in fast-growing sectors such as IT, healthcare, finance, robotics, automation, marketing, and smart manufacturing. Graduates are well-equipped to design intelligent systems, develop predictive models, and work on transformative technologies. Further education options include M.Tech, MS (Abroad), or certifications in AI/ML, Data Science, and Robotics.

  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist / Analyst
  • NLP Engineer
  • Computer Vision Engineer