M.Tech. Artificial Intelligence and Machine Learning
Programme Overview
The M.Tech. in Artificial Intelligence and Machine Learning at MIT World Peace University (MIT-WPU), Pune is designed to meet the growing demand for skilled professionals in intelligent and autonomous systems. Artificial Intelligence (AI) and Machine Learning (ML) are among the most transformative fields in today’s technological landscape, driving innovation across science, industry, and society.
This programme focuses on equipping students with a strong foundation in AI concepts and ML techniques, enabling them to design intelligent models, reason with data, and develop adaptive solutions to real-world challenges. With a vision to nurture analytical thinkers and research-oriented professionals, the programme prepares graduates to excel in diverse fields such as Robotics, Automation, Large Language Models, 3D Computer Vision, Edge computing, Cyber security, Augmented Reality and Virtual Reality and Quantum Machine Learning.
The programme emphasises hands-on learning through state-of-the-art laboratories, and experiential learning through rural, national and international academic immersions, industry-driven minor and capstone projects along with mandatory internships, providing real-world exposure to the students.
Major Tracks
- Mathematics for AI
- Artificial Intelligence and Machine Learning
- Machine Vision
- Deep Learning Networks
- Large Language Models and Agentic AI
- Multimodal Information Retrieval
- Graph Neural Network
Duration & Fees
Terms & Conditions Apply:
- All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
- To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 50% aggregate marks in a 4- year graduation degree in the relevant Engineering branch* from a UGCapproved institution/ university or its equivalent (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
Selection Process
Admission will be based on the merit of the MIT-WPU CET 2026 Entrance Examination, along with a Personal Interaction (PI) score conducted by MIT-WPU as per the prescribed schedule.
A valid score in GATE score (2026/ 2025/ 2024), PERA-CET 2026 will also be considered for the selection process; in such cases, the candidate must additionally appear for the Personal Interaction (PI) Score conducted by MIT-WPU as per the prescribed schedule.
For admission under sponsored category, candidate must have a minimum of two years of full-time work experience in a registered firm, company, industry, educational/ research institute, Government Department, or Government Autonomous Organization in the relevant field in which admission is sought. A Sponsorship Certificate (in the prescribed format) is mandatory for admission under this category.
* For more information regarding programme-wise branch eligibility, please refer to the M.Tech. rules published on the official website.
Programme Highlights
- Comprehensive Curriculum : Blends strong theoretical foundations with diverse applications in Artificial Intelligence and Machine Learning.
- Interdisciplinary and Application-oriented Approach : Emphasis on real- world problem-solving through projects, case studies, and industry-oriented assignments catering to precision agriculture, medical healthcare, manufacturing industry and allied applications.
- Cutting-edge Technologies : Exposure to domains such as deep learning, computer vision, natural language processing, data analytics, and robotics with edge Computing frameworks.
- Research and Innovation Focus : Encourages students to develop intelligent systems and engage in advanced research.
- Industry Integration : collaborations with leading industries and research organizations.
- Modern Infrastructure : Access to advanced computing facilities, AI/ML laboratories, and high-performance computing resources.
- Career Readiness : Prepares industry ready postgraduates for diverse roles in AI, ML, data-driven decision-making, automation, and intelligent systems.
- Domain experts : A strong legacy of academic excellence and innovation, supported by a team of passionate, dedicated, and experienced faculty driving excellence across diverse domains of Artificial Intelligence and Machine Learning.
Career Prospects
Generative AI Engineer
Machine Learning Engineer
AI Research Scientist
Data Scientist / Applied Scientist
Computer Vision Engineer
NLP Engineer
Signal Processing & ML Engineer
Autonomous Systems/Robotics Engineer
Agentic AI Engineer
Healthcare AI Specialist
Ph.D. Scholar
University Faculty / Research Scientist
Programme Outcomes
- Apply advanced knowledge of Artificial Intelligence, Machine Learning, and related computational techniques to solve complex engineering and research problems.
- Conceptualize, design, and develop intelligent, adaptive and data-driven models and algorithms for real-world applications.
- Utilize state-of-the-art tools, frameworks, and technologies for data analysis, application development and performance evaluation.
- Apply ethical principles, data privacy norms and responsible AI practices in professional and research environments.
- Communicate complex AI/ML concepts effectively and work collaboratively in multidisciplinary teams with leadership and project management skills.
- Engage in continuous learning and stay updated with emerging trends, tools, and technologies in Artificial Intelligence and Machine Learning.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
The M.Tech. in Artificial Intelligence and Machine Learning (AI & ML) is a postgraduate programme designed to equip students with advanced theoretical knowledge and practical skills in intelligent systems, data-driven technologies, and autonomous decision-making. The programme focuses on the foundations and applications of AI and ML in diverse fields such as computer vision, natural language processing, robotics, predictive analytics, and data science.
Choosing an M.Tech. in Artificial Intelligence and Machine Learning (AI & ML) opens the door to one of the most dynamic and rapidly evolving fields in science and technology. This programme offers Career Growth and Global Opportunities. Graduates are prepared for roles such as Data Scientist, AI Engineer, Research Analyst, ML Specialist, and academic researcher in leading industries and institutions worldwide
Through a blend of core courses, domain-specific electives, hands-on projects, and research-oriented learning, the programme prepares students to design innovative AI solutions for real-world challenges. It also emphasizes ethical AI practices, interdisciplinary applications, and industry readiness to meet the growing global demand for skilled AI professionals.
Mathematics for AI, Artificial Intelligence and Machine Learning, Machine Vision, Deep Learning Networks, Large Language Models and Agentic AI , Multimodal Information Retrieval, Graph Neural Network are the major subjects. Different learning tracks are available covering robotics & AI, Big data analytics, ML for applied electronics, cloud storage and edge computing useful for diverse applications in different domain.
Yes
Advanced Computer labs with required softwares and hardware labs with Edge Computing frameworks like STM32, Jetson nano, TinyML, AIDL GPU Server, are available.
Engineering graduate (B. E./B.Tech) from any recognized University/ Institution of National Importance with a minimum of 50 % marks or equivalent grade (45 % Marks or equivalent grade for Scheduled Caste/ Scheduled Tribes) in any engineering discipline with basic knowledge of python programming.
Machine Learning Engineer, AI Research Scientist, Data Scientist, Computer Vision Engineer, NLP Engineer, Signal Processing & ML Engineer, Autonomous Systems/Robotics Engineer, Agentic AI Engineer, Healthcare AI Specialist, Ph.D. Scholar / Post-doctoral Researcher, University Faculty / Research Scientist, etc.
Yes, MIT-WPU has MOUs with many AIML industries.
A team of passionate, dedicated, and experienced faculty driving excellence across diverse domains of Artificial Intelligence and Machine Learning is available at department.
Inclusion of subjects like Scientific Studies of Mind, Matter, Spirit and Consciousness, Peace Building: Global Initiatives in curriculum helps the students for personality development. Also, Career development centre in campus offers different trainings for personality development and soft skills.
admissions@mitwpu.edu.in
