M.Sc Artificial Intelligence Syllabus and Subjects

Avg Fees: ₹90K - 1.5 LPA

M.Sc Artificial Intelligence subjects list and electives consist of in-depth science and computer syllabus, emphasizing graduates' knowledge. In addition to that, an M.Sc Artificial Intelligence course imparts specific knowledge in the subject areas to the students, such as science, computer programming, research, electives, mini-projects, and so on.

Semester Wise M.Sc Artificial Intelligence

M.Sc Artificial Intelligence is a four-semester-wise syllabus. The subject includes Data Structure and Algorithm, Computer Networking, Internet Technologies, Machine Learning, and much more. The M.Sc Artificial Intelligence course is semester-wise, and the course curriculum comprises four parts: foundation, core, electives, and projects. The syllabus for M.Sc Artificial Intelligence semester wise are: 

MSc Artificial Intelliegence 1st Year Syllabus

The table below contains the MSc Artificial Intelligence Syllabus for the 1st year:

Semester I

Semester II

Computational thinking through programming

Deep Learning

Artificial Intelligence: Principles and Techniques

Applied Statistics

Mathematical Foundation For AI

Numerical Optimization

AI & ML with Python

Design & Analysis of Algorithms

Algorithms and Complexity

Fuzzy Logic and Nature Inspired Computing

Object Oriented Concepts and Programming using C++

Introduction to Computer Vision

MSc Artificial Intelligence 1st Year Practicals

The list given below highlights the practicals in MSc AI Syllabus for 1st year:

  • Computational thinking through programming
  • Machine Learning Lab
  • Deep Learning Lab

MSc Artificial Intelliegence 2nd Year Syllabus

The table below contains the MSc Artificial Intelligence Syllabus for the 2nd year:

Semester III

Semester IV

 Natural language processing

Research/ Internship

Data Science and Analytics

List of Electives (Semester 2)

Advance Computer Algorithms

Data Analytics

Cyber Security and Cyber Laws

Digital Image Processing

Optimization Techniques

Artificial Intelligence

AI for IoT 

List of Electives (Semester 3)

M.Sc Artificial Intelligence Subjects

All the M.Sc Artificial Intelligence subjects taught in the M.Sc Artificial Intelligence course help the students understand the knowledge and pursue a better Ph.D. degree for the job scope in the future. The M.Sc Artificial Intelligence subjects like computer graphics, data networking, machine learning, etc are taught in the course curriculum.

Core subjects:

  • Computer Architecture and Organization
  • Operating System
  • Internet Technologies
  • Data Analytics


  • Language Technologies and Information Retrieval
  • Object-Oriented Analysis and Design
  • Medical Imaging
  • Pattern Recognition

M.Sc Artificial Intelligence Course Structure

The M.Sc Artificial Intelligence syllabus and course curriculum is structured into two categories, namely core and elective subjects. The course for the curriculum has been divided into four semesters and electives. The course structure has research and internships in the last semester. Some of the M.Sc Artificial Intelligence course details are:

  • IV Semesters
  • Core and Elective subjects
  • Research and Internships
  • Projects Submission

M.Sc Artificial Intelligence Teaching Methodology and Techniques

The M.Sc Artificial Intelligence postgraduate degree course curriculum includes various teaching methods and techniques that help students understand multiple topics taught in their classes. Some of the different teaching methodologies and techniques adopted in the course curriculum of the course are as follows:

  • Practical & Laboratory sessions
  • Designing cost-effective and straightforward experiments.
  • Guest Lectures, Seminars, and Workshop
  • Group Assignment and Discussion
  • Learning through Industrial Visit
  • Research & Development

M.Sc Artificial Intelligence Projects

Project Topics for M.Sc Computer Science is a fantastic resource for students and researchers (Ph.D./MBA) looking to complete ground-breaking research. Students pursuing the M.Sc Artificial Intelligence project topics are website development, software development, data analyst, app materials and structures, operations and control, design and manufacturing, etc. The students can take the M.Sc Artificial Intelligence project topics based on their subjects and syllabus. Some of the M.Sc Artificial Intelligence are:

  • Human-Computer Interaction
  • Web Semantic
  • Graphical User Interface
  • Distributed and Quantum Computing
  • Digital Telecommunications
  • Artificial Neural Networks

M.Sc Artificial Intelligence Reference Books

Best books for M.Sc Artificial Intelligence help students get a clear idea about various subjects and topics covered in the course curriculum. The M.Sc Artificial Intelligence books help to expand their knowledge and vision about multiple topics covered in their classes. Some of the very best M.Sc Artificial Intelligence books are:

M.Sc Artificial Intelligence Books



Algorithms to Live By: The Computer Science of Human Decisions

Brian Christian and Tom Griffiths

The Soul of a New Machine

Tracy Kidder

Hackers: Heroes of the Computer Revolution

Steven Levy

Code: The Hidden Language of Computer Hardware and Software

Charles Petzold

The Chip: How Two Americans Invented the Microchip and Launched a Revolution

T.R. Reid


M.Sc Artificial Intelligence Fee Structure


What are the subjects in MSc AI?

The Artificial Intelligence subjects include Computational thinking through programming, Mathematical Foundations for AI, Introduction to Programming with Python, etc.

Is MSc artificial intelligence tough?

Yes, MSc AI courses is one of the toughest course to study and qualify.

Which is better MSc AI or MSc Data Science?

MSc AI is better to MSc Data Science because there is a greater market need for AI developers and because AI development is growing.

What is the scope of MSc artificial intelligence?

MSc artificial intelligence has a huge market with development of job opportunities such as Software Engineer, System Analyst, Technical Support Engineer, etc.