M.Tech. Artificial Intelligence (AI)

download brochure Apply Now

M. Tech. Artificial Intelligence (AI)

Focuses on advanced concepts and research in artificial intelligence.
Covers areas such as machine learning, natural language processing, computer vision, and data mining.
Emphasises research, experimentation, and the development of AI-based solutions.
Includes a thesis or research project in collaboration with industry or academia.
Taught by experienced faculty with expertise in AI.

Duration

2 Years

Programme Type

Part-time

Programme Fees

₹50,000/- per semester

Programme Regulations

2024–2025
2023–2024

Programme Structure 2025

PDF is being worked upon by the Academic Council; the updated list will be shared once approved.

Eligibility Criteria

Candidates should have passed B.E./B.Tech. in CSE/ISE/IT/ECE/EEE (any circuit engineering departments) or M.Sc. in CS/IS/IT/Mathematics or MCA with a minimum of 50% marks (45% in the case of SC/ST candidates) from a recognised university.

Scope & Objectives

Programme Structure

Programme Assessment

Programme Outcome

PO1: Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and computer science with a specialisation to solve complex engineering problems.

PO2: Problem Analysis
Identify, formulate, review research literature, and analyse complex engineering problems using mathematics, basic sciences, and computer science and engineering expertise.

PO3: Design/Development of Solutions
Design solutions for complex problems using knowledge of computer science in sectors such as healthcare, education, banking, and supply chain.

PO4: Conduct Investigations of Complex Problems
Use research-based knowledge and methods, including design of experiments, data analysis, and synthesis of information using cryptographic algorithms, to draw valid conclusions.

PO5: Modern Tool Execution
Create, select, and apply appropriate techniques, resources, and IT tools (such as Wireshark, Metasploit, Cuckoo Sandbox, Yara Rules, Base64, VolUtility, Process Hacker, Hexinator) to build models using computer science.

PO6: The Engineer and Society
Apply contextual knowledge to assess societal, health, safety, security, legal, and cultural issues and the related responsibilities relevant to professional engineering practice.

PO7: Environment and Sustainability
Understand the impact of computer science and engineering solutions on society and the environment, and demonstrate knowledge of sustainable development.

PO8: Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO9: Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.

PO10: Communication
Communicate effectively on complex engineering activities with the engineering community and society, including writing reports, design documentation, presentations, and clear instructions.

PO11: Project Management and Finance
Demonstrate knowledge and understanding of computer science-related concerns and apply them to one’s work, as a team member or leader, to manage projects in multidisciplinary environments.

PO12: Lifelong Learning
Recognise the need for, and demonstrate the ability to engage in, independent and lifelong learning in the advancement of computer science.

What Expertise Do You Gain?

Advanced knowledge of computer science and artificial intelligence
Expertise in machine learning algorithms and techniques
Understanding of natural language processing and computer vision
Proficiency in data mining and big data analytics
Research and innovation skills in AI

Career Opportunities

01
AI Architect
02
Data Engineer
03
Software Engineer
04
Data Scientist
05
AI Developer
06
Research Scientist

How to apply?

Step 1 – Application Enquiry
On-call guidance with step-by-step expert instruction on how to complete the application form.

Step 2 – Selection Process
Candidates are shortlisted after document verification, interview, and the CMRUAT entrance exam.

Step 3 – Offer Letter
Provision of Offer Letter to commence further process.

Apply Now

Related Courses

School of Engineering & Technology

Bachelor of Technology | B.Tech. | CSE

Rs.1,75,000/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

Bachelor of Technology | B.Tech.| AI & ML

Rs. 2,00,000/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

Bachelor of Technology | B.Tech. CSE | DS

Rs.1,75,000/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

Bachelor of Technology | B.Tech. IT

Rs.1,37,500/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

B.Tech.| CST* (with Specialisation in AI & ML/ Internet Of Things) IT. ECE

Rs. 1,37,500/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

Bachelor of Technology | B.Tech. ECE

Rs.1,25,000/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

B.Tech. Computer Engg (Specialisation in AIML & IoT)

Rs. 2,00,000/- Per semester
Undergraduate
4 years
Lakeside Campus

Apply now Visit page

School of Engineering & Technology

M.Tech.| Computer Science & Engineering (CSE)

50,000/- Per semester
Postgraduate
2 years
Lakeside

Apply now Visit page

Recent Blogs

All Blogs

FAQs

M.Tech. in Artificial Intelligence follows similar eligibility criteria to M.Tech. in Computer Science. Candidates should have graduated with a minimum of 50% marks (45% for SC/ST) in:

B.E./B.Tech. in CSE, ISE, IT, ECE, or EEE
M.Sc. in CS, IS, IT, or Mathematics
MCA

This part-time, weekend programme covers a wide range of topics, including:

Machine Learning
Data Structures
Database Management Systems
Neural Networks
Automatic Programming
Graph Theory
Embedded Systems
Problem Solving and Reasoning

Graduates have diverse and rewarding career paths including:

Software Developer
AI Researcher
Prompt Engineer
Data Scientist
Data Engineer

They may also pursue doctoral studies or research opportunities, as demand for AI experts continues to rise.

Graduates will possess in-depth knowledge of AI concepts and tools. The course enables them to solve complex challenges with innovative thinking. Projects and applied learning during the programme help develop real-world problem-solving capabilities.

The future of AI is promising. While automation may replace certain tasks, AI also empowers professionals to work more efficiently. Learning AI helps individuals apply these technologies to improve productivity. The demand for skilled AI professionals continues to grow across industries.