With the rise of AI, an MSc in Artificial Intelligence has become a sought after masters degree. Find everything you need to know about this course here.
The demand for skilled professionals in artificial intelligence is rapidly increasing, making an MSc Artificial Intelligence a valuable degree. This postgraduate program in India equips students with comprehensive AI skills, leading to promising careers in AI innovation. Graduates are well-prepared to capitalize on the growing need for AI experts. The MSc Artificial Intelligence program is offered at numerous Indian universities, with tuition and fees varying by institution. While specific eligibility criteria differ, a relevant bachelor’s degree is generally required. This article provides a detailed overview of the MSc Artificial Intelligence program in India, covering top colleges, fees, syllabus, and career opportunities. This article examines the MSc Artificial Intelligence program, including top government colleges like IIT Madras and IIT Delhi, which are highly ranked by the NIRF. We will also explore the typical syllabus and course structure.
MSc Artificial Intelligence: Course Overview, Scope, and Key Highlights in India
The MSc Artificial Intelligence program in India is a 1-2 years postgraduate course designed to provide students with a comprehensive skill set in the field of AI. Here is an overview of the course:
Parameter
Description
Degree Title
MSc Artificial Intelligence (or MSc in AI & Machine Learning / AI & Data Science)
Duration
Usually 1-2 years full-time (4 semesters)
Total Credits
Typically 70–90 credits
Mode of Study
Full-time on-campus/ online or hybrid options
Entry Point
Usually July/August
Core / Compulsory Modules
Mathematics for AI/Data Science, Introduction to Artificial Intelligence, Machine Learning, Deep Learning / Neural Networks, Python Programming / Data Structures & Algorithms, Fundamentals of Data Science
Major Project / Dissertation
Individual project / dissertation (often 10–20 credits in final semester); may include mini-projects, capstone, or industry-based work
Typical Focus
Balances theory (math, algorithms), practical skills (Python, ML frameworks like TensorFlow/PyTorch), applications (NLP, computer vision, big data), and ethics/responsible AI
Career Preparation
Aimed at roles like AI Engineer, ML Engineer, Data Scientist, AI Researcher, or further PhD; strong industry alignment with tools, projects, and placements
MSc Artificial Intelligence Eligibility Criteria: Detailed Requirements for Indian Students
To be considered for admission to an MSc Artificial Intelligence program in India, students must meet specific eligibility criteria. While requirements vary by college or university, here is a broad overview:
Educational Qualification: Candidates must hold a bachelor’s degree from a UGC-recognized university in a relevant field such as B.Sc. in Computer Science, IT, Mathematics, Statistics, Data Science, BCA, B.Tech/BE in CSE/IT, or equivalent disciplines.
Minimum Aggregate Marks: Applicants generally need at least 50-60% marks in their qualifying bachelor’s degree, with many institutions requiring 60% or higher; relaxation to 45-55% is often provided for SC/ST/OBC/PwD categories as per government norms.
Mathematics or Relevant Subjects Requirement: Mathematics (or Statistics) must have been studied as a compulsory subject at the 10+2 level and/or during graduation to ensure a strong foundation for AI concepts and algorithms.
Entrance Exam or Selection Process: Admission is typically based on merit from undergraduate marks, university-specific entrance tests (like VITMEE), or national exams (such as GATE in some cases), often followed by interviews or programming assessments.
Additional Requirements for Diverse Backgrounds: Non-computer science graduates may need to complete bridge courses in programming, data structures, or mathematics; English proficiency and provisional admission for final-year students are commonly allowed upon meeting criteria later.
Age and Other Conditions: There is usually no strict upper age limit, making the program accessible to both fresh graduates and working professionals, especially in online or part-time modes offered by various institutions.
MSc Artificial Intelligence Admission Process: A Step-by-Step Guide for Indian Aspirants
The MSc Artificial Intelligence admission process in India typically involves several steps. While the process may vary by college or university, it generally includes submitting an application, meeting eligibility criteria, and passing an entrance exam or interview.
Possess a Bachelor’s degree in Computer Science, Mathematics, or a related field, with a minimum aggregate score of 60% or above.
Submit a valid GATE score, or scores from other institution-specific exams.
Submit all required documents, including mark sheets, certificates, and identification proof.
Meet specific subject requirements, such as mathematics and computer science, as specified by the institution.
Apply for admission through the institution’s official website or a centralized admission portal, if available.
Pay the application fee, ranging from INR 500 to INR 2,000, depending on the institution.
Pass the entrance exam or interview, if required, demonstrating knowledge and skills in artificial intelligence and related areas.
Check the institution’s website for the merit or selection list, usually published after the entrance exam or interview.
Confirm admission by paying tuition fees, ranging from INR 50,000 to INR 2,00,000 per year, depending on the institution.
Attend the orientation program and complete other formalities, such as submitting original documents and medical certificates, to finalize the admission process.
Top Government Colleges in India for MSc Artificial Intelligence
The following table lists top government colleges in India offering MSc Artificial Intelligence or related programs, along with their fees, duration and admission mode.
College Name (City)
Total Course Fees (approx.)
Course Duration
Admission Mode
Kerala University (Thiruvananthapuram)
INR 3,465
2 years
Entrance exam / CUET PG
Central University of Karnataka (Kalaburagi)
INR 65,000–70,000
2 years
CUET PG
Chaudhary Devi Lal University (Sirsa)
INR 36,000
2 years
Merit-based / University entrance
Avinashilingam Institute (Coimbatore) – Deemed (Women-only)
INR 75,000–1,00,000
2 years
Merit-based / Institute test
Delhi Institute of Pharmaceutical Sciences and Research (New Delhi)
INR 1,60,000
2 years
GPAT / Merit-based
(Note: Top IITs like IIT Madras, IIT Bombay, IIT Delhi offer MTech in AI/Data Science, not pure MSc. Central universities dominate lower-fee options.)
Top Private Colleges in India for MSc Artificial Intelligence
The table below lists top private colleges in India that offer MSc Artificial Intelligence or related programs, along with their city, fees, duration and admission modes:
College Name (City)
Total Course Fees (approx.)
Course Duration
Admission Mode
Parul University (Vadodara)
INR 99,000–3,25,000
2 years
Merit-based / Entrance
Ganpat University (Mehsana)
INR 45,000–2,65,000
2 years
Merit / GUJCET or equivalent
Christ University (Bengaluru)
INR 2,00,000–2,84,000
2 years
University entrance / Merit
Amity University (Noida)
INR 74,000–3,00,000
2 years
Merit-based / Entrance
CV Raman Global University (Bhubaneswar)
INR 40,000–80,000
2 years
Entrance (GATE/OJEE/JEE)
MIT ADT University (Pune)
INR 75,000–6,00,000
2 years
PERA CET / JEE / GATE
BITS Pilani (Online / Work Integrated)
INR 2,10,000–2,80,000 (total for program)
2 years
Merit-based / Online application
Bennett University (Greater Noida)
INR 3,00,000–4,00,000
2 years
Merit / Entrance
REVA University (Bengaluru)
INR 5,00,000–5,50,000
2 years
Merit / University test
Sri Sri University (Cuttack)
INR 2,80,000–3,00,000
2 years
Merit-based
O.P. Jindal Global University (Sonipat)
INR 4,00,000+ (1-year variant)
1–2 years
Merit / Interview
University of Aberdeen Mumbai Campus
INR 10,00,000+ (international fees)
1 year
Merit / Application
Top International Colleges for MSc Artificial Intelligence
AI studies is an increasingly popular international degree. Here is a list of top international colleges to pursue this degree:
College Name
Location
Course Fees (Approx)
Course Duration
Carnegie Mellon University
Pittsburgh, USA
$100,000 – $120,000
1.5–2 years
Stanford University
Stanford, USA
$120,000 – $150,000
1.5–2 years
Massachusetts Institute of Technology (MIT)
Cambridge, USA
$110,000 – $140,000
1–2 years
University of California, Berkeley
Berkeley, USA
$80,000 – $110,000
1–2 years
University of Oxford
Oxford, UK
£40,000 – £50,000
1 year
Imperial College London
London, UK
£40,000 – £45,000
1 year
ETH Zurich
Zurich, Switzerland
CHF 3,000–6,000
1.5–2 years
Technical University of Munich (TUM)
Munich, Germany
€6,000–€12,000
2 years
National University of Singapore (NUS)
Singapore
SGD 50,000–70,000
1–2 years
University of Edinburgh
Edinburgh, UK
£40,000 – £45,000
1 year
MSc Artificial Intelligence Syllabus: Year-wise Breakdown for Indian Universities
The MSc Artificial Intelligence program in India is a two-year postgraduate course covering a wide range of subjects related to artificial intelligence. While syllabus for each college varies, here is a broad overview:
Year (Semesters)
Core Subjects
Electives (
Year 1 (Semesters 1 & 2)
Mathematics for AI / Probability & Statistics, Introduction to Artificial Intelligence / Foundations of AI, Machine Learning Fundamentals
Natural Language Processing (NLP), Computer Vision Basics, Big Data Analytics / Cloud Computing
Year 2 (Semesters 3 & 4)
Deep Learning / Neural Networks, Advanced Machine Learning / Reinforcement Learning, Ethics & Responsible AI / AI Governance
Generative AI / MLOps, Robotics / IoT for AI, Agentic AI / Soft Computing
Core Subjects Taught in MSc Artificial Intelligence
Here are detailed descriptions of the core subjects taught in MSc Artificial Intelligence course:
Subject Name
Subject Description
Mathematics for AI / Data Science
Covers linear algebra, probability, statistics, calculus, and optimization essential for AI algorithms and model understanding.
Introduction to Artificial Intelligence
Provides foundational concepts of AI, including agents, search strategies, knowledge representation, reasoning, and problem-solving paradigms.
Machine Learning Fundamentals
Explores supervised, unsupervised, and reinforcement learning techniques, algorithms, evaluation metrics, and model training processes.
Artificial Neural Networks / Deep Learning
Introduces neural network architectures, backpropagation, activation functions, and frameworks for building deep learning models.
Natural Language Processing (NLP)
Focuses on techniques for processing, understanding, and generating human language, including tokenization, sentiment analysis, and transformers.
Computer Vision / Image Processing
Teaches methods for interpreting visual data, including image classification, object detection, segmentation, and convolutional neural networks.
Advanced Data Structures & Algorithms
Builds on core programming with efficient data structures, algorithmic design, complexity analysis, and optimization for AI applications.
Big Data Analytics
Covers handling large-scale data using tools like Hadoop/Spark, distributed computing, and analytics pipelines for real-world AI datasets.
Ethics & Responsible AI / AI Governance
Examines ethical issues, bias mitigation, fairness, privacy, societal impact, and regulatory frameworks in AI development and deployment.
MSc Artificial Intelligence Fee Structure: Comparison of Government and Private Colleges in India
The MSc Artificial Intelligence program is a 2-year postgraduate course offered by various government and private colleges in India. The fee structure varies significantly. Here is a side by side comparison of various fee elements:
Fee Component
Government Colleges (Typical Range)
Private Colleges (Typical Range)
Tuition Fees (Total for 2 Years)
INR 3,000 – 70,000
INR 2,00,000 – 6,00,000+
Admission / Registration / One-Time Fees
INR 1,000 – 10,000
INR 10,000 – 50,000
Examination / Semester Fees
INR 2,000 – 15,000
INR 10,000 – 50,000
Hostel / Accommodation Fees (per year, optional)
INR 10,000 – 30,000
INR 50,000 – 2,00,000+
Mess / Food Fees (per year, approximate)
INR 20,000 – 40,000
INR 40,000 – 1,00,000
Other Fees (Lab, Library, Internet, etc.)
INR 5,000 – 20,000
INR 20,000 – 1,00,000
Total Estimated Cost (2 Years, including hostel/mess where applicable)
INR 50,000 – 2,00,000
INR 3,00,000 – 10,00,000+
Entrance Exams for MSc Artificial Intelligence in India: Eligibility and Key Details
Entrance exams are a crucial step in the admission process for an MSc Artificial Intelligence in India. These exams assess a candidate’s knowledge and skills in areas relevant to artificial intelligence, such as mathematics, computer science, and programming. Common entrance exams include:
Exam Name
College / Accepting Institutions
Tentative Date (2026)
CUET PG (Common University Entrance Test – Postgraduate)
Central Universities (e.g., Central University of Karnataka, Kerala University), many state/deemed universities accepting CUET PG scores
March 6 – March 27, 2026
VITMEE (VIT Master’s Entrance Exam)
Vellore Institute of Technology (VIT) – for MSc AI & ML, MSc Data Science
Typically May–June 2026
University-Specific Entrance Tests / Merit-Based
Christ University (Bengaluru) – entrance test or merit; REVA University; Parul University; Amity University; Avinashilingam Institute
Varies
GATE (Graduate Aptitude Test in Engineering) – DA (Data Science & AI) paper
Primarily for MTech AI/ML/Data Science at IITs/NITs/IIITs; some MSc programs accept GATE scores
February 2026
Other University-Specific / Institute Tests
RKMVERI (Ramakrishna Mission Vivekananda Educational and Research Institute); Plaksha University (MS AI)
Varies
Scope for Higher Studies After MSc Artificial Intelligence
Msc Artificial Intelligence degree holders looking to pursue higher studies can explore the following options:
PhD in Artificial Intelligence: After completing an MSc in Artificial Intelligence, pursuing a PhD in AI allows students to conduct in-depth research in areas like machine learning, neural networks, and robotics at premier institutions such as IITs or Anurag University in India, typically requiring qualification in exams like GATE or NET for admission and lasting 3-5 years.
PhD in Data Science and Artificial Intelligence: This advanced degree builds on MSc foundations by focusing on interdisciplinary research in data-driven AI applications, offered at places like IIT Bombay, where candidates with a relevant Master’s can explore topics such as big data analytics and AI ethics, often leading to academic or industry research roles.
PhD in Computer Science with AI Specialization: Opting for a PhD in Computer Science emphasizing AI enables exploration of specialized fields like natural language processing or computer vision, available at universities including NCU India, providing opportunities for innovative thesis work and careers in academia, tech firms, or policy-making.
International PhD Programs in AI: Graduates can apply for PhD positions abroad at universities in the US, UK, or Europe, which often include funding and stipends, requiring strong research proposals, GRE scores, and English proficiency tests, allowing access to global collaborations and cutting-edge AI facilities for 4-6 years of study.
Top Job Roles & Salary Ranges After MSc Artificial Intelligence
Take a look at top job roles after MSc Artificial Intelligence with description and salary range:
Job Role
Job Description
Salary Range (INR LPA)
AI Engineer
Designs, develops, and deploys AI models and systems using machine learning frameworks.
6–25
Machine Learning Engineer
Builds, trains, and optimizes ML models for production, focusing on scalability and performance.
8–30
Data Scientist
Analyzes complex data to derive insights, build predictive models, and support AI-driven decisions.
8–25
NLP Engineer
Develops systems for understanding and generating human language, including chatbots and sentiment analysis.
10–35
Computer Vision Engineer
Creates algorithms for image/video processing, object detection, and visual AI applications.
10–30
AI Research Scientist
Conducts advanced research on new AI techniques, publishes papers, and innovates algorithms.
15–50
MLOps Engineer
Manages ML lifecycle: deployment, monitoring, automation, and CI/CD pipelines for AI models.
12–40
Generative AI Specialist
Works on generative models like LLMs, diffusion models, and prompt engineering for content creation.
12–45
Top Industry Recruiters For MSc Artificial Intelligence
Here is a list of top recruiters to target for various sectors after MSc in Artificial Intelligence:
Industry/Sector
Top Recruiters
IT Services & Consulting
TCS, Infosys, Wipro, Accenture
Tech Giants / Product Companies
Google, Microsoft, Amazon, IBM
E-commerce & Retail
Flipkart, Amazon India, Reliance Retail
Analytics & AI Startups / Specialized Firms
Fractal Analytics, Haptik, Mad Street Den
Other High-Growth Sectors (e.g., Fintech, Healthcare, Automotive)
HCLTech, Tech Mahindra, Cognizant
Preparation Tips for Admission into MSc Artificial Intelligence
Here are 5 practical preparation tips for securing admission to an MSc in Artificial Intelligence in India:
Strengthen your foundational knowledge in mathematics and programming: Build proficiency in linear algebra, probability, statistics, calculus, and Python, as these are core prerequisites for most programs and entrance exams.
Research specific university requirements and entrance processes thoroughly: Check official websites for eligibility, accepted exams like CUET PG or merit-based criteria, and deadlines to tailor your application strategy effectively.
Prepare rigorously for entrance exams like CUET PG or university tests: Understand the pattern (MCQs on math, CS, reasoning), practice previous papers, and focus on high-weightage topics such as machine learning basics, data structures, and logical reasoning for competitive scores.
Build a strong profile with relevant projects and experience: Work on personal AI/ML projects, contribute to open-source, or complete internships/certifications (e.g., in Python or TensorFlow) to showcase practical skills, especially for interviews or merit-based admissions.
Craft a compelling application with timely documents and preparation: Write a clear Statement of Purpose highlighting your AI interest, prepare for potential interviews by researching the program, and submit all requirements (transcripts, recommendations) well before deadlines to avoid last-minute issues.
MSc Artificial Intelligence vs MTech Artificial Intelligence
Many students are confused between an MSc and MTech degree in Artificial Intelligence. Here is a side-by-side comparison that will help make a clearer decision:
Aspect
MSc Artificial Intelligence
MTech Artificial Intelligence
Degree Type
Master of Science
Master of Technology
Typical Duration
2 years (4 semesters)
2 years (4 semesters)
Eligibility
Bachelor’s in relevant fields: B.Sc. (CS/IT/Math/Stats/Data Science/Physics), BCA
B.Tech/B.E. in CSE/IT/ECE or related engineering branches
Primary Admission Mode
Merit-based (UG marks) or university-specific entrance / CUET PG (for central universities)
National entrance exam: GATE; some accept university tests
Typical Institutions
Christ University, REVA University, Parul University, BITS Pilani, Amity University, Central University of Karnataka, Kerala University
Balanced; good for research/PhD pathway or applied roles
More practical; strong emphasis on engineering projects, tools, and deployment; excellent for tech jobs
Career Outcomes
Data Scientist, AI/ML Engineer, NLP Specialist, Research Analyst roles
AI Engineer, ML Engineer, MLOps Specialist, Research Engineer roles
Average Starting Salary (Freshers)
INR 6–12 LPA
INR 10–20+ LPA
Best Suited For
Science graduates, those interested in theoretical AI/research, or switching from non-engineering backgrounds
Engineering graduates seeking deep technical expertise, high-paying industry roles, or R&D in tech giants
Frequently Asked Questions (FAQs)
Q1. What is the duration of the MSc Artificial Intelligence program in India?
The MSc Artificial Intelligence program in India typically lasts for 1 to 2 years at the postgraduate level. This duration includes tuition and other fees.
Q2. Which government colleges in India offer MSc Artificial Intelligence?
Several government and central universities in India offer MSc in Artificial Intelligence, including Kerala University, Central University of Karnataka, and Chaudhary Devi Lal University. However, availability remains limited compared to private institutions.
Q3. What is the type of colleges that Karunya Institute of Technology and Sciences and IIT Bombay are?
Karunya Institute of Technology and Sciences is a private college, while IIT Bombay is a government college. Their MSc Artificial Intelligence programs have different fee structures.
Q4. What are the key highlights of the MSc Artificial Intelligence program in India?
The MSc Artificial Intelligence program provides students with a comprehensive skill set in AI, preparing graduates for careers in AI innovation. The program includes tuition and other fees.
Q5. Who is eligible for MSc in AI?
Candidates are eligible for an MSc in Artificial Intelligence in India if they hold a bachelor’s degree in relevant fields like Computer Science, IT, Mathematics, Statistics, Data Science, BCA, or B.Tech/BE with 50–60% aggregate marks. Mathematics or Statistics at undergraduate level is often mandatory.
Q6. Is an MSc in Artificial Intelligence worth it?
Yes, an MSc in Artificial Intelligence is worth it in India for 2026. It offers strong career prospects in high-demand roles like AI Engineer and Data Scientist. Freshers typically earn ₹6–12 LPA in this fast growing and booming sector.
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