B.Tech – CSE (Specialization in Artificial Intelligence)


Artificial Intelligence (AI) is the sub-area of computer science which is devoted to creating software and hardware to get computers to do things that would be considered ‘intelligent’ as if people did them. Artificial intelligence has had an active and exciting history and is now a mature area of computer science. Many of the research discoveries have now reached the point of industrial application and many companies have made and saved millions of dollars by utilizing the results of AI research. However, the goal of emulating human intelligence has not been reached and many stimulating and challenging problems remain. The Challenging problems which humans find difficult to solve, can be tackled using sophisticated technology of AI Sciences.

All serious programmers and software engineers should know about the major AI techniques, which are regarded by many as core knowledge for any Computer Science degree. This course will allow you to gain generic problem-solving skills that have applicability to a wide range of real-world problems pertaining to AI.

This first of its kind B.Tech. program in Computer Science and Engineering with specialization in Artificial Intelligence (AI) is specifically designed to prepare students with theoretical foundations and practical skills of Artificial Intelligence and face the new world of Digital disruption and transformation.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Reputed university with excellent campus and infrastructure
  • Best-in-class faculty
  • Tech-enabled program delivery
  • 100% placement support* (*Terms and conditions apply)

Program Details

After successful completion of the program students will be able to:

  • To prepare graduates as leading professionals globally in government, academia, corporate and research organizations along with entrepreneurial pursuits.
  • To prepare graduates with an ability to articulate and solve problems in the field of Computer Science and Engineering with an Artificial Intelligence approach.
  • To prepare the graduates with strong learning quotients having adaptability to the constantly changing technological environment.
  • To prepare the graduates to lead and initiate ethically the professional and organizational goals in an interdisciplinary team and obtain desired results.


*Subject to change

  • Mathematics – I 
  • Physics
  • Basic Electronics Engineering
  • Engineering Graphics & Design 
  • English – I
  • Mentoring and Counselling
  • Mathematics – II
  • Chemistry
  • Programming for Problem Solving
  • English – II
  • Workshop Practice Lab
  • Mentoring and Counselling
  • Discrete Mathematics
  • Computer Organization and Architecture
  • Operating System
  • Data Structures and Algorithm
  • Object Oriented Programming using Java
  • Introduction to Artificial Intelligence
  • MOOC
  • Database Management Systems
  • Software Engineering
  • Python Programming
  • Computer Networks
  • Inferential Statistics
  • Data Visualization
  • Soft skills and Aptitude I
  • Design and Analysis of Algorithms
  • Machine Learning
  • Artificial Neural Networks
  • Digital Image Processing
  • Open Elective-I
    • Fuzzy Logic and Applications
    • Cloud Web Services
  • Communication Lab
  • Viva Industrial Training / In-house Workshop
  • Project– I
  • Deep Learning
  • Advanced Machine Learning
  • Sensor Technology
  • Natural language Processing
  • Open Elective-II
    • Genetic Algorithms
    • Blockchain Essentials
  • Soft Skills and Aptitude II
  • Placement Training
  • Project- II
  • Computer Vision
  • Environmental Science
  • Open Elective-III
    • Data Analytics using SQL
    • Android Application Development
  • Open Elective-IV
    • Robotic Process Automation Tools
    • Infrastructure Containers
  • Chat Bot Development
  • Summer Training / Industrial Workshop/ Certification
  • Industrial Training/Major Project ( PT)
  • Technical Seminar

Certification Courses

  • Design Thinking
  • Excel Essential
  • Probability and Statistics
  • Data Visualization using Power BI
  • Python and Django Full stack
  • Cloud Essentials

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Enrolled: 1 student
Duration: 4 Years | Full-time