M.Tech.
Artificial Intelligence &
Machine Learning
for Working professionals
Course is on “Introduction to Python” and “Mathematical Foundation”.
Specialization in
- Deep Learning
- NLP
- Audio and Vision
July 2025 Batch
Last Date to Apply: June 30, 2025
Admission Enquiry
Become a leading AI & ML professional
Become an AI scientist, ML engineer or NLP specialist
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Live learning from experts
Lab sessions on cutting edge technologies
Solve real life problems
BITS Pilani has evolved into a globally respected institution, renowned for its cutting-edge engineering, science, and management programmes, recognized as an Institute of Eminence by the UGC and the Ministry of Higher Education.
Impact of BITS Pilani Working Professionals Program:
45+
Years of
Delivering Excellence
1,29,641
Successful Graduates
350+
Founders and CXOs
5000+
Global Heads & Directors
Overview of the programme
Prepare for a career filled with endless opportunities in AI and ML with India’s most comprehensive M.Tech. programme in AI & ML, designed specifically for working professionals like you. This industry-driven curriculum equips you with in-demand knowledge and skills needed to excel.
Gain expertise through hands-on, practical learning in emerging technologies— from mastering AI to leading innovations. This programme empowers you to shape the future and succeed in high-demand roles such as ML Engineer, AI Scientist, and more.
Course is a specially designed for M.Tech. AI & ML learners, covering the fundamentals of Python programming and Mathematics.
Customise your learning with our unique programme design
Our programs consist of core courses that are compulsory for all, and electives with a wide choice, to allow learners to tailor the programmes as per their personal interests and career goals.
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- First Semester
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- Mathematical Foundations for Machine Learning.
- Introduction to Statistical Methods
- Artificial and Computational Intelligence
- Machine Learning
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- Second Semester
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- Deep Neural Networks
- Deep Reinforcement Learning
- Elective 1
- Elective 2
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- Third Semester
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- Elective 3
- Elective 4
- Elective 5
- Elective 6
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- Fourth Semester
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- Dissertation
Electives
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- Pool of Electives Deep Learning Specialization
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- Unsupervised Deep learning#
- Graph Neural Networks
- Distributed Machine Learning
- ML System Optimization
- Fair, Interpretable, Trustworthy Machine Learning
- Computational Learning Theory
- Machine Learning on the Edge
Note: At least 3 courses are required including the course marked in#
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- Pool of Electives NLP Specialization
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- Natural Language Processing#
- NLP Applications
- Information Retrieval
- Speech Processing
- Conversational AI
- Social Media Analytics
- Large Language Models for Generative AI
Note: # At least 3 courses are required including those marked with #
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- Pool of Electives - Audio and Vision
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- Computer Vision#
- 3D Computer Vision
- Audio Analysis#
- Video Analysis
- Computational Photography
- Computational Imaging
- Multimodal Information Retrieval
- Contemporary Computer Graphics
Note: # At least 3 courses are required including those marked with #
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- Pool of Electives General
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- Data Management for Machine Learning
- Advanced Data Mining
- Design of Algorithms
- AI and ML for Robotics
- AI and ML Techniques for Cyber security
- Probabilistic Graphical Models
- Metaheuristics for Optimization
- Automated Reasoning
- Quantum Machine Learning
- Software Engineering for Machine Learning
- Introduction to Parallel and Distributed Programming
- API Driven Cloud Native Solutions
Note: Choice of Electives is made available to enrolled students at the beginning of each semester. Students' choice will be taken as one of the factors while deciding on the Electives offered. However, Electives finally offered will be at the discretion of the Institute
Learning methodology designed for working professionals
Live Learning
Live sessions for each course. 32 hours of live & interactive sessions for each course on weekends.
Experiential Learning
Practice 24x7 on Virtual & Remote Labs. Master software tools, gain mastery by working on lab assignments, mini projects or solve real life problem in a simulated environment remotely.
Project Based Learning
Final semester project. Learners pick project from their workplace or industry dissertation to apply their learning and suggest improvements.
Self Learning
Flexible learning with access to digital resources. Learners can access e-learning content, recorded sessions, and assignments on our LMS anytime, anywhere.
Technologies you’ll master
An experience delivered by world class experts
- 120+ dedicated faculties
- 1000+ industry experts for master sessions
Dedicated faculty members of BITS WILP
Over 120+ full-time senior faculty members with extensive industry and academic expertise deliver the programmes.
Master sessions by industry experts
1000+ experts across the globe who support with specialised sessions and industry best practices.
Campus Immersion Programme
Learners have the opportunity to visit the BITS Pilani campus during their programme; visit our labs, do group exercises, and interact with BITS faculty and leadership.
Our learners come from the best of organisations
From learners to leaders: A look at their journey
BITS Pilani WILP helped me transition from being an SAP developer to an AI architect, equipping me with industry-relevant skills. The programme allowed me to tackle complex projects and contribute at a higher level in my organisation while balancing work and academics seamlessly.
Manasa
The tools and remote labs at BITS Pilani WILP were instrumental in bridging the gap between theory and practice. They provided me with hands-on experience, helping me apply advanced technologies to real-world problems with confidence and precision.
Nikhila
Earn a prestigious credential from BITS Pilani
Hassle-free financing options
Option to pay fees using easy EMI with 0% interest and 0 down payment.
