Duration of Program 2 years (4 Semesters)


Seats 30*

*Total Seats in MCA

In this specialisation, apart from essential concepts such as data structures, algorithms, OOPS concepts using Java and python, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing relevant real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data models, algorithms, and empirics.

Academic Framework

The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.

The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.

SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.

  • Business Intelligence Developer
  • Machine Learning Engineer
  • Data Scientist
  • Expert System Developer
  • AI Developer/Consultant
50% in 10th, 12th and 50 % in graduation in relevant subject
Personal Interview



Subject Code Subject Credits
  Python Programming 3
  Web Technologies Through PHP 3
  Software Engineering and Project Management 3
  Business Communication and Ethics 3
  Domain Elective-1 3
  Social Internship 1
  Python Programming Lab 2
  Web Technologies Through PHP Lab 1
  TOTAL 19





Subject Code Subject Credits
  Data Base Management Systems 3
  Operating Systems 4
  Object-Oriented Analysis and Design Using UML 3
  Venture Ideation and Enterprenureship 2
  Domain Elective-2 3
  Domain Elective-3 3
  Java Programming *1 3
  DBMS Lab 1
  Domain Elective-2 Lab 1
  Java Programming Lab 2
  Object-Oriented Analysis and Design Using UML Lab 1
  TOTAL 26





Subject Code Subject Credits
  Modeling and simulation 3
  Computer Networks 3
  Domain Elective-4 3
  Domain Elective-5 3
  Domain Elective-6 3
  Computer Graphics 3
  Domain Elective-5 Lab 1
  Domain Project 4
  TOTAL 23





Subject Code Subject Credits
  Full time Industry Project and Seminar 20
  TOTAL 20



Semester-I Domain Elective-1 3
  Problem Domains of AI *5  
Semester-II Domain Elective-2 3+1
  Soft Computing  
Semester-II Domain Elective-3 3
  Knowledge Engineering and Expert Systems  
Semester-III Domain Elective-4 3
  Machine Learning - Using Data for Artificial Intelligence  
Semester-III Domain Elective-5 3+1
  Deep learning and ANN  
Semester-III Domain Elective-6 3
  Natural language Processing  
  Game Theory and Heuristics  
  Image Processing and Machine Vision  
  Information retrieval  
  Data Visualization  
  Biometric processing  
  Business Analytics and Optimization  
  Agent based Intelligent Systems  

Enquiry Form