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
M.Tech. Artificial Intelligence and Machine Learning is a 4-semester programme designed for working professionals to equip them with future-proof and relevant skills in the changing industry. This four-semester programme covers a wide variety of skills and knowledge areas. It enables IT professionals and Software developers to build a skill set that enables career elevation in some of the most sought-after job roles, such as ML Engineers, AI Scientists, etc.
Experience high-quality learning in a live, interactive, engaging mode with practical & hands-on learning on Remote & Simulation Labs.
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.
- Machine Learning
- Introduction to Statistical Methods
- Artificial and Computational Intelligence
- 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
- 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#
Pool of Electives for : NLP Specialization
- NLP Applications
- Social Media Analytics
- Natural Language Processing#
- Information Retrieval
- Conversational AI
- Speech Processing
- Large Language Models for Generative AI
Note: # At least 3 courses are required including those marked with #
Pool of Electives for : Audio and Vision
- 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 #
General Pool of Electives
- MLOps
- Design of Algorithms
- Probabilistic Graphical Models
- Data Management for Machine Learning
- Advanced Data Mining
- AI and ML techniques for Cyber Security
- AI and ML for Robotics
- 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.
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.
Hybrid Experience
Lab Infrastructure:
Access private cloud-based remote labs with specialized AI/ML platforms including TensorFlow, PyTorch, and Keras. Work with high-performance GPU clusters for model training and deep learning frameworks.
Hands-on Experience:
Build neural networks, develop computer vision applications, create natural language processing models, and implement machine learning algorithms. Train deep learning models on real datasets and deploy AI solutions using industry-standard tools.
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 3,18,400
| Details | Sem 1 | Sem 2 to Sem 4 | ||
|---|---|---|---|---|
| Application Fees (one time): | 1,500 | - | ||
| Admission Fees (one time): | 16,500 | - | ||
| Semester Fees (per semester): | 75,100 | 75,100 per semester | ||
| Total Fee: | 93,100 | 75,100 per semester | ||
Note: Semesters 2 to 4 fees are INR 75,100 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
- Employed professionals holding a B.E. / B.Tech., MCA, M.Sc., or equivalent degree with at least 60% aggregate marks, with university-level mathematics/statistics as core subjects.
- Minimum one year of relevant work experience after the completion of the degree
- Should possess basic programming knowledge and an adequate background in mathematics.
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: Kolkata, Guwahati, Jamshedpur, and Bhubaneswar.
- West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore and Nagpur.
- North Zone: Delhi NCR, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur and Pilani.
- South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Hosur, Madurai, Kancheepuram and Coimbatore.
For International Students:
- In addition to the above locations, the institution has a designated international examination centre in Dubai.
- To facilitate the learning of international students applying from anywhere except India and Dubai, 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 Apply Click Here
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 080-48767777
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.
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:
South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Madurai, Coimbatore
North Zone: Delhi NCR, Gurugram, Noida, Faridabad, Jaipur, Chandigarh, Lucknow, Udaipur, Pilani
West Zone: Mumbai, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore, Nagpur, Bhopal, Raipur
East Zone: Kolkata, Guwahati, Jamshedpur, Bhubaneswar
International Centers: Dubai
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.
