B.Tech in Computer Science & Engineering with Specialization in Artificial Intelligence & Data Science  in association with IBM

  • About Program

    B.Tech. CSE with specialization in AI & Data Science degree program has seen an exponential growth in the last few years. It is fueled by explosion in the use of Internet, extensive penetration of smart phones, increasing use of online services, social media, e-banking and increasing incidents on Human workload. AI & Data Science is a well-established exciting specialization of Computer Science & Engineering concerned with methods to make computers or machines intelligent. So that they are able to learn from experience to derive implicit knowledge from the one given and to understand natural languages to determine the content of images to work collaboratively. Computer-based solutions are getting smarter due to recent advances in AI & Data Science. This specialization is designed to enable students to build intelligent machines with a cutting-edge combination of AI & Data Science technologies.
  • Higher Education

    On completion of B.Tech CSE with specialization in AI & Data Science degree program, the students can pursue studies like the M.Tech/M.E./Ph.D Courses in reputed universities in India and abroad.

Duration & Eligibility

BTech – 4 Years

Minimum 60% marks in X Std & aggregate 60% marks in XII Std and minimum 60% in Physics Chemistry Maths English/Physics Maths Bio English/Physics Maths English Computer.

Fee Structure - (Per Semester/Instalment)

Particulars Tuition fees Academic Services Fee Total Fee
All India Quota 80000 60000 140000
Uttarakhand/Himalyan State Quota
(After 26% Scholarship on Tuition Fee)
59200 60000 119200



  • The curriculum covers areas that prepare you for most lucrative careers in the space of Data Science, Data Engineering and Advanced Analytics.
  • It helps learner’s master critical skills such as Mathematical modeling, Machine learning, Artificial Intelligence, Product development and scripting languages.
  • Gain knowledge of related fields such as natural language processing, text mining, robotics, reasoning and problem solving.
  • Acquire ability to design intelligent solutions to problems in a variety of domains and business applications.
  • Attain insights required to compare and choose different methods for machine learning and intelligent reasoning.
  • Gain hands-on experience in implementing scalable solutions with AI and machine leaning components, technologies and tools.
  • Accelerate understanding through application-oriented and student-centric learning.

Career Prospects

  • Data Engineer
  • Research Scientist
  • Natural Language Processing Scientist
  • Machine Learning developer
  • Automation and Optimization Engineer
  • Game developer


The demand for engineers and scientists with knowledge in Machine Learning is growing as the amount of data increases. After graduation you can pursue careers, for example as, Software Developer, Deep learning Engineer, Computer Vision Engineer, Data Analyst, Software Engineer, Quantitative Analyst, Data Scientist, and Systems Engineers.