New Age Programme
Learn cutting edge tech, in-demand skills and industry best practices
Learning Format
Live learning, 24x7 virtual labs & solve real life case studies
Great Experience
Learn from world class faculty, guided capstone project & campus immersion programme
Easy Finance
Multiple options including 0% interest EMI
AI & ML: The Future is Here
With an industry-aligned curriculum and experiential learning approach, this programme prepares professionals for the evolving world of Artificial Intelligence and Machine Learning. Covering advanced areas such as Agentic AI, Generative AI and LLMs, Multimodal AI, Responsible AI, Physical AI and Robotics, Quantum ML, and AI deployment at scale, the programme enables learners to build future-ready skills for high-impact AI careers.
Unique Programme Curriculum:
Customise Your Learning
The programme consists of core courses which are compulsory for everyone, and offers a wide choice in electives for learners to customise the programme as per their career aspirations. Learners need to complete 12 courses and do a Project/Dissertation in the final semester.
- Mathematical Foundations for Machine Learning
- Introduction to Statistical Methods
- Artificial and Computational Intelligence
- Machine Learning
- Deep Neural Networks
- Deep Reinforcement Learning
- Elective 1
- Elective 2
- Elective 3
- Elective 4
- Elective 5
- Elective 6
- Dissertation
Pool of Electives for : Deep Learning Specialization
- AI and ML for Robotics
- AI and ML Techniques for Cyber Security
- Advanced Data Mining
- API-driven Cloud Native Solutions
- Automated Reasoning
- Architecting AI Systems
- Agentic AI Systems
- Design of Algorithms
- Data Management for Machine Learning
- Introduction to Parallel and Distributed Programming
- MLOps
- Metaheuristics for Optimization
- Multimodal AI
- Multimodal Information Retrieval
- Probabilistic Graphical Models
- Quantum Machine Learning
- Software Engineering for Machine Learning
At least 3 courses are required including the course marked as#
Pool of Electives for : NLP Specialization
- Advanced Reasoning and Planning
- Conversational AI
- Information Retrieval
- Large Language Models for Generative AI
- Natural Language Processing#
- NLP Applications
- Speech Processing
- Social Media Analytics
At least 3 courses are required including the course marked as#
General Pool of Electives
- Computational Learning Theory
- Distributed Machine Learning
- Fair, Interpretable, Trustworthy Machine Learning
- Graph Neural Networks
- ML System Optimization
- Machine Learning on the Edge
- Unsupervised Deep Learning#
At least 3 courses are required including the course marked as#
Pool of Electives for : Audio and Vision
- Audio Analysis#
- Computer Vision#
- Computational Photography
- Computational Imaging
- Contemporary Computer Graphics
- 3D Computer Vision
- Video Analysis
At least 3 courses are required including the course marked as#
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.
Live Interactive and Engaging
Learning Methodology
Live Learning
Live sessions for each course
32 hours of live instruction of each course on weekends in an interactive mode
Faculty-guided hands-on learning
Solve real life case studies, assignments & more and receive feedback on the same from the faculty members.
Experiential Learning
Experiential Learning Centres
State-of-the-art centres designed for hands-on, lab-based learning and real-world application. Now live with the Automotive Competency Center in Chennai and Smart Manufacturing Competency Center in Bengaluru, with more locations launching across major cities in 2026.
Campus Immersion Programme
Opportunity to visit the BITS campus to learn, experience labs, network with peers and get mentored by BITS leadership.
Project Based Learning
Final Semester Project
Learners pick project from their workplace or industry dissertation to apply their learning and suggest improvements.
Develop Problem Solving Skills
Identify, analyze, and effectively find solutions utilizing critical thinking & analytical reasoning.
Self Learning
Flexible learning with access to digital resources
Learners can access e-learning content, recorded sessions, and assignments on our LMS anytime, anywhere.
Library access to books & journals.
Learners get subscription to the world's largest collection of eBooks and other reading resources through OpenAthens.
Experience Exceptional Growth
in Career and
Confidence
For more than 46 years, BITS Pilani, a globally renowned institution, has enabled working professionals through its WILP Programmes to grow into successful leaders and entrepreneurs across the world.
1,36,904
Working Professionals Graduated
353
CEOs and Founders
4,997
Global Heads,
Presidents & Directors
Technologies
Covered
Learn From the Best Minds:
World-Class Faculties and Industry Experts
With over 120 full-time faculty members bringing deep industry and academic expertise, and 1,000+ industry professionals contributing to the learning journey, the programmes offer a truly world-class educational experience.
Our Learners Come From the Best of Organisations
With Diverse
Backgrounds
Experience the Best of BITS Pilani:
Campus Immersion
Learners have the opportunity to visit the BITS Pilani campus during their programme, immersing themselves in a vibrant environment, making lab visits, group exercises with peers and interacting with BITS faculty and the leadership.
Earn a Prestigious Degree & Alumni Status From BITS Pilani
Programme Fee
Programme Fee
INR 3,34,400
| Details | Sem 1 | Sem 2 to Sem 4 | ||
|---|---|---|---|---|
| Application Fees is non refundable (one time): | 1,500 | - | ||
| Admission Fees (one time): | 18,500 | - | ||
| Semester Fees (per semester): | 78,600 | 78,600 per semester | ||
| Total Fee: | 98,600 | 78,600 per semester | ||
Note: Semesters 2 to 4 fees are INR 78,600 each.
- Admission fees (one time) and First Semester fees are to be paid once admission is offered.
- Subsequent semester fees are payable at the beginning of respective semesters.
- Avail easy EMI option with 0% interest. To know more Click Here
Eligibility
Criteria
| Criteria | Details |
|---|---|
| Required Degree(s) | Integrated First Degree of BITS or equivalent (B.E/B.Tech/M.Sc/MCA) |
| Marks Required | ≥ 60% |
| Work Experience | Currently employed with Minimum 1 year |
| Additional Domain Requirements | Computer programming skills, mathematics/statistics |
Everything You Need To Know
Examination are of 2 types : Continuous and Comprehensive Exams.
- Continuous consists of quizzes, lab assignments etc. to be taken virtually on the LMS
- Comprehensive: Mid term and End term are to be taken in person at University designated exam centres
For Indian Students: List of designated exam centres
- East Zone: Bhubaneswar, Guwahati, Jamshedpur, Kolkata, Patna, Ranchi (Jharkhand)
- West Zone: Ahaliyanagar, Ahmedabad, Bharuch (Gujarat), Bhopal (Madhya Pradesh), Chhatrapati Samabhajinagar (Aurangabad), Goa - Goa, Indore, Jamnagar (Gujarat), Mumbai, Mumbai - Navi Mumbai, Mumbai - Thane, Nagpur, Nashik (Maharashtra), Pune (Maharashtra), Raipur (Chhattisgarh), Rajkot (Gujarat), Satara (Maharashtra), Silvassa (Dadra and Nagar Haveli), Singrauli (Madhya Pradesh), Surat, Vadodara (Gujarat)
- North Zone:Agra (Uttar Pradesh), Allahabad, Alwar (Rajasthan), Bathinda (Punjab), Chandigarh, Dehradun (Uttarakhand), Delhi NCR - Delhi, Delhi NCR - Faridabad, Delhi NCR - Gurugram, Delhi NCR - Noida, Ghaziabad (Uttar Pradesh), Jaipur, Jodhpur (Rajasthan), Lucknow, Pilani - BITS Campus, Renukoot (Uttar Pradesh), Udaipur (Rajasthan), Varanasi (Uttar Pradesh)
- South Zone: Anantapur (Andhra Pradesh), Bangalore - Central, Bangalore - East, Bangalore - North, Bangalore - South, Bangalore - West, Belagavi (Karnataka), Chennai - Central, Chennai - East, Chennai - North, Chennai - South, Chennai - West, Coimbatore, Hosur (Tamil Nadu), Hubli-Dharwad (Karnataka), Hyderabad, Hyderabad - Secunderabad, Kannur-Kerala, Kochi-Kerala, Kozhikode- Kerala, Madurai, Mangaluru (Karnataka), Mysore, Pondicherry (Puducherry), Rajahmundry (Andhra Pradesh), Salem (Tamil Nadu), Thiruvananthapuram- (Kerala), Thrissur (Kerala), Tirupati (Andhra Pradesh), Udupi (Karnataka), Vellore (Tamil Nadu), Vijayawada, Visakhapatnam
For International Students:
- In addition to the above locations, the institution has a designated international examination centre in Abu Dhabi, Doha (Qatar), Dubai - BITS Campus, Kuala Lumpur ( Malaysia), Singapore.
- Students outside Abu Dhabi, Doha (Qatar), Dubai - BITS Campus, Kuala Lumpur ( Malaysia). The examinations will be conducted online, and they can be availed by meeting the institute's requirements.
- To know more about the requirements for online examinations, Click here
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
(OR) - Scanned copy of government-issued ID from the residing country
(And) - HR recommendation or endorsement letter from the employer, stating the location of your work.
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
- Indian students, who are temporarily based out of India, can also avail of online examinations on request by meeting the above-mentioned requirements of the institute.
To enrol in the programme, Apply Now
Application steps:
- Register/Login on the application portal and fill all the required details
- Pay the application fee and update the Mentor & Employer information. Click here for more information.
- Submit the application with all required documents
- The Admissions Cell will review your application and share the admission decision via email or the application portal within 2–3 weeks
For a step-by-step guide on the application, Watch Here
Important: If you’re unable to get a physical signature due to work-from-home policies, you may request your HR to send an email approval from their official ID using the format available through this link. Sample Mentor form Sample Employer form
24x7 Support System and 5 regional offices
We have a 24x7 support system to address your queries over the phone or raise tickets for any support or help needed. You can drop into our regional offices to meet the BITS team.
Reach us at admission@wilp.bits-pilani.ac.in or 9240018899
Industry Endorsements
Transformation Experienced
By Our Learners
BITS Pilani WILP provided me the opportunity to pursue a structured Master's programme without quitting my job. I was able to enhance my expertise in Python, ML, NLP and Deep Learning. The faculty at BITS Pilani WILP was outstanding.
Anand Jha
Lead Data Engineer
AI, Intellect Design Alumnus
BITS Pilani WILP enabled me to enhance my skills in Data Mining, Machine Learning, AI, Big Data Systems, problem-solving and analytical abilities while continuing to work. The hands-on tools and remote labs bridged the gap between theory and practice.
Nikhila
Senior Data Analyst,
Citi Alumnus
BITS Pilani WILP played a key role in my transition from an SAP developer to an AI architect, providing me with industry-relevant skills that enabled me to handle complex projects and contribute at a higher level within my organisation.
Manasa
AI Architect Alumnus
FAQs
Contact classes are conducted over a technology enabled platform. These classes can be attended via the internet using a computer from any location. These contact classes offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. These are conducted usually over weekends or after business hours for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.
This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. refer to the programme eligibility criteria.
Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani.
No, BITS Pilani WILP does not offer traditional campus placements.
BITS Pilani Work Integrated Learning Programmes (WILP) are designed for working professionals who want to advance their careers while staying in their jobs. Key features include:
- Tailored for employed individuals continuing their careers.
- Focus on skill enhancement for growth within current roles.
- No need for campus drives, as participants are already in the workforce.
This model lets you apply learning immediately on the job.
Each semester has a Mid-semester Exam and a Comprehensive Exam for each course, which are conducted over weekends. Students will need to appear in-person to take these exams at exams centers in the following locations:
India Centers:
East Zone: Bhubaneswar, Guwahati, Jamshedpur, Kolkata, Patna, Ranchi (Jharkhand)
West Zone: Ahaliyanagar, Ahmedabad, Bharuch (Gujarat), Bhopal (Madhya Pradesh), Chhatrapati Samabhajinagar (Aurangabad), Goa - Goa, Indore, Jamnagar (Gujarat), Mumbai, Mumbai - Navi Mumbai, Mumbai - Thane, Nagpur, Nashik (Maharashtra), Pune (Maharashtra), Raipur (Chhattisgarh), Rajkot (Gujarat), Satara (Maharashtra), Silvassa (Dadra and Nagar Haveli), Singrauli (Madhya Pradesh), Surat, Vadodara (Gujarat)
North Zone:Agra (Uttar Pradesh), Allahabad, Alwar (Rajasthan), Bathinda (Punjab), Chandigarh, Dehradun (Uttarakhand), Delhi NCR - Delhi, Delhi NCR - Faridabad, Delhi NCR - Gurugram, Delhi NCR - Noida, Ghaziabad (Uttar Pradesh), Jaipur, Jodhpur (Rajasthan), Lucknow, Pilani - BITS Campus, Renukoot (Uttar Pradesh), Udaipur (Rajasthan), Varanasi (Uttar Pradesh)
South Zone: Anantapur (Andhra Pradesh), Bangalore - Central, Bangalore - East, Bangalore - North, Bangalore - South, Bangalore - West, Belagavi (Karnataka), Chennai - Central, Chennai - East, Chennai - North, Chennai - South, Chennai - West, Coimbatore, Hosur (Tamil Nadu), Hubli-Dharwad (Karnataka), Hyderabad, Hyderabad - Secunderabad, Kannur-Kerala, Kochi-Kerala, Kozhikode- Kerala, Madurai, Mangaluru (Karnataka), Mysore, Pondicherry (Puducherry), Rajahmundry (Andhra Pradesh), Salem (Tamil Nadu), Thiruvananthapuram- (Kerala), Thrissur (Kerala), Tirupati (Andhra Pradesh), Udupi (Karnataka), Vellore (Tamil Nadu), Vijayawada, Visakhapatnam
International Centers: Abu Dhabi, Doha (Qatar), Dubai - BITS Campus, Kuala Lumpur ( Malaysia), Singapore.
In case students are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams.
The programme provides a high degree of interactivity between students and the faculty members and programme instructors. Q&A sessions during the contact classes (which you can attend from anywhere over a technology enabled platform) allow participants to pose questions to the faculty members, and seek guidance through voice and chat. Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards.
The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience.
Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs. Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge
Candidates applying to the programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. For detailed information, please refer to the programme brochure.
The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory.
Yes, UGC has approved the continued offering of M.Tech. Artificial Intelligence and Machine Learning as a part of WILP on the recommendations of Empowered Expert Committee. Click here to learn more.
It is a post-graduate programme that focuses on providing advanced knowledge and skills in the fields of artificial intelligence and machine learning. The programme covers topics such as machine learning, natural language processing, neural networks, computer vision, robotics, deep learning, data analysis and more.
Applicants for the M.Tech. in Artificial Intelligence and Machine Learning program must meet these criteria:
- Employed professionals with a B.E. / B.Tech. or equivalent degree, securing at least 60% aggregate marks
- Possessing a minimum of one year of relevant work experience post-degree completion, are eligible to apply.
- In addition, a working knowledge of computing and programming is required.
(Or)
- Employed professionals with an MCA / M.Sc. or equivalent degree, achieving at least 60% aggregate marks,
- With mandatory subjects in mathematics or statistics at the university level,
- Possessing a minimum of one year of relevant work experience post-degree completion, are also eligible to apply.
- In addition, a working knowledge of computing and programming is required.
Graduates in M.Tech. in Artificial Intelligence and Machine Learning programme are currently in high demand due to the increasing adoption of AI and ML technologies across industries, such as IT, Retail, Automotive, Manufacturing, Finance, Healthcare, e-commerce, and Telecommunications. Some of the job roles that graduates can explore include AI engineer, ML engineer, Data scientist, Data analyst, and Research scientist.
Candidates should have a strong foundation in mathematics, statistics, and programming. Additional, skills, such as data analysis, machine learning, natural language processing, computer vision, problem-solving, and critical thinking would be bonus.
The M.Tech. in Artificial Intelligence and Machine Learning programme spans over two years and is divided into four semesters.
