M.Tech in Artificial Intelligence and Machine Learning

BITS Pilani offers a Work Integrated Learning program (WILP) for working professionals. Such programs are provided at the postgraduate level in advanced technology to enhance the skills of professionals. Thus, the M.Tech in Artificial Intelligence & Machine Learning program is designed for working professionals by BITS Pilani. M.Tech WILP by BITS Pilani supports professionals who want to learn and explore artificial intelligence, machine learning, deep learning, natural language processing, computer vision, and related technologies without taking a career break to become efficient.

This 4-semester M.Tech WILP AI&ML program blends advanced theoretical concepts with practical and experiential learning. The program is structured to help professionals integrate their AI and ML learnings into real-world workplace problems. The lessons are shared with learners through live online classes, virtual laboratories, assignments, case studies, and a final dissertation. The flexible learning model suits working professionals' schedules. 

The 2-year M.Tech WILP Artificial Intelligence and Machine Learning program is flexible because live online classes are conducted through a technology-enabled platform and are scheduled on weekends or after business hours. Recorded sessions and digital learning resources are also available through the Learning Management System (LMS), allowing learners to access academic material when convenient. 

BITS Pilani M.Tech WILP can be enrolled in by applicants who have completed their graduation in engineering. Furthermore, the WILP AI & ML program is open to learners who have completed an M.Sc. or MCA and have an understanding of Computer Programming Skills and Statistics or Mathematics. Apart from this, they have completed at least one year of experience in the related field. To meet the eligibility criteria of the program, applicants must have at least 60% academic score overall. 

The program provides learners with a combination of compulsory core courses and electives. This allows professionals to customise their learning according to their career interests. Learners can develop specialised expertise through areas such as Deep Learning, NLP, and Audio and Vision. 

When it comes to the fee structure of the BITS Pilani M.Tech WILP AI & ML program, the total fees of the program are INR 3,34,400. The total fee amount includes one-time application and admission fees, apart from the 4 semesters' fees. 

After completing the BITS Pilani M.Tech WILP program, working professionals add expertise in advanced areas of AI and ML. The current program highlights technologies and concepts including Agentic AI, Generative AI and Large Language Models (LLMs), Multimodal AI, Responsible AI, Physical AI and Robotics, Quantum Machine Learning, AI deployment at scale, deep learning, NLP, audio processing, and computer vision. 

One of the key strengths of the program is its application based approach. Learners can practice their leanings at workplace. After completing the program, they are expert in machine learning, deep neural networks, reinforcement learning, NLP, computer vision, MLOps, multimodal AI, and AI system architecture to solve practical problems and build intelligent applications. The program is particularly relevant for professionals working in software development, IT, data science, analytics, engineering, technology, and related fields who want to move into advanced AI and ML responsibilities. 

Who Can Apply? 

The four-semester M.Tech. Artificial Intelligence & Machine Learning WILP program offered by BITS Pilani is designed for working professionals who already possess a relevant graduation degree in engineering and technology. Applicants who possess a postgraduate or engineering-level academic background like MCA or M.Sc. can apply for the program and want to specialise in AI and machine learning.

According to the current BITS Pilani WILP eligibility criteria, applicants must:

• Be currently employed.
• Hold a B.E./B.Tech or equivalent degree with at least 60% aggregate marks; or
• Hold an M.Sc./MCA or equivalent degree with at least 60% aggregate marks.
• M.Sc./MCA candidates should have studied Mathematics or Statistics at university level.
• Possess a minimum of one year of relevant work experience after completing the qualifying degree.
• Have working knowledge of Computing, Programming, Mathematics and Statistics. 

Professionals who own a registered business may also be eligible to apply, subject to fulfilling the program's applicable admission requirements.

The program is particularly suitable for professionals working in software development, programming, data science, analytics, IT, AI/ML, technology operations, engineering, and related technical domains.

Other Specializations

BITS Pilani WILP offers several M.Tech. programs for working professionals across AI, data science, software, electronics, manufacturing, automotive, civil, and other technical domains. These include:

• M.Tech. Data Science & Engineering
• M.Tech. VLSI Design & Microelectronics
• M.Tech. Design Engineering
• M.Tech. Robotics & Autonomous Systems
• M.Tech. Software Engineering
• M.Tech. Embedded Systems
• M.Tech. Software Systems
• M.Tech. Cloud Computing
• M.Tech. Computing Systems & Infrastructure

Course Fees

The current listed program fee for the BITS Pilani WILP M.Tech AI/ML is ₹3,34,400. The fee structure is broadly divided as follows:

BITS Pilani M.Tech WILP AI/ML Fees
Particulars	Amount (INR)
Application Fee	1,500
Admission Fee	18,500
Semester (Per semester)	78,600

The application fee is paid during the application process. The admission and semester fees are payable according to the applicable admission schedule.

Education / EMI

BITS Pilani M.Tech WILP program provides financing options intended to make the program more manageable for working professionals.

The M.Tech. Artificial Intelligence & Machine Learning program currently offers an EMI facility with 0% interest, subject to the applicable terms and eligibility conditions. 

The EMI facility allows eligible professionals to distribute their education expenses into manageable payments while continuing their employment.

This can be particularly useful for professionals who want to pursue a postgraduate degree without taking a career break.

Admission Open

Admissions for the M.Tech. Artificial Intelligence & Machine Learning WILP program can be done online. The application process is conducted online through the BITS Pilani WILP admission portal.

The admission process includes:

• Register/Login to the BITS Pilani WILP application portal.
• Fill in the required application information.
• Pay the application fee.
• Provide Mentor and Employer information.
• Upload and submit the required documents.
• Allow the Admissions Cell to review the application.
• Receive the admission decision through email or the application portal.
• Pay the applicable admission and semester fees after receiving the admission offer.

BITS Pilani WILP states that the Admissions Cell generally communicates the admission decision within 2–3 weeks after reviewing the application. 

Syllabus

The M.Tech. Artificial Intelligence & Machine Learning curriculum at BITS Pilani combines mathematical foundations, statistics, artificial intelligence, machine learning, deep learning, reinforcement learning, and advanced elective subjects.

Learners complete courses followed by a Dissertation in the final semester. The curriculum includes compulsory core courses as well as a wide range of electives that allow learners to customise their academic course. 

• Mathematical Foundations for Machine Learning
• Introduction to Statistical Methods
• Artificial and Computational Intelligence
• Machine Learning
• Deep Neural Networks
• Deep Reinforcement Learning

The program offers multiple elective subjects through which learners can develop specialised expertise. Here is the list of some elective subjects learners can choose from: 

• Deep Learning Specialization Electives
• 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

The availability of particular electives is subject to the courses offered by the institute for the relevant academic period. 

Examination Pattern

The M.Tech. Artificial Intelligence & Machine Learning WILP program by BITS Pilani follows two broad forms of assessment:

Continuous Evaluation: Continuous evaluation includes academic activities such as:

• Quizzes
• Laboratory assignments
• LMS-based assessments
• Other academic activities

These assessments are conducted virtually through the Learning Management System.

Comprehensive Examinations: Comprehensive examinations include:

• Mid-semester examinations
• End-semester examinations

For Indian learners, the comprehensive examinations are conducted in person at designated examination centres. BITS Pilani WILP lists examination centres across different regions of India, including centres in Delhi NCR, Gurugram, Noida, Pilani, Mumbai, Pune, Bengaluru and other locations, subject to centre availability. 

Job Roles

The M.Tech. Artificial Intelligence & Machine Learning program WILP can help experienced professionals develop advanced skills relevant to AI and ML-oriented technology roles. Potential career profiles after completing the program from BITS Pilani are:

• AI Engineer
• Machine Learning Engineer
• AI Scientist
• Data Scientist
• Data Analyst
• Deep Learning Engineer
• NLP Engineer
• Computer Vision Engineer
• AI/ML Researcher
• Machine Learning Operations Engineer
• AI Solutions Architect
• Machine Learning Architect
• Generative AI Engineer
• AI Systems Engineer
• Robotics/AI Engineer
• Research Scientist

The program is particularly useful for professionals who have industry experience and want to move toward more specialised AI/ML responsibilities.

Reviews

The BITS Pilani WILP M.Tech. Artificial Intelligence & Machine Learning program is designed for professionals who want to gain advanced AI and ML knowledge without leaving their jobs.

Key strengths of the program include:

• BITS Pilani M.Tech. degree
• BITS Pilani alumni status
• Designed specifically for working professionals
• Four-semester postgraduate structure
• Live interactive online classes
• 24×7 virtual laboratory access
• Experiential learning
• Real-life case studies
• Advanced AI and ML curriculum
• Multiple elective options
• Deep Learning specialization pathway
• NLP specialization pathway
• Audio and Vision specialization pathway
• Exposure to Generative AI and LLMs
• Exposure to Agentic AI
• Multimodal AI
• Responsible AI
• Physical AI and Robotics
• Quantum Machine Learning
• Guided dissertation/project work
• Campus immersion opportunities
• Flexible learning through recorded academic resources

The program combines academic learning with practical exposure and allows learners to customise their studies according to their professional interests. 

The program also uses technologies and tools relevant to modern AI development, including Python, TensorFlow, Keras, OpenCV, Hugging Face, Spark, and Neo4J, among others. 

Placement Partners

BITS Pilani WILP does not provide traditional campus placements in the same manner as a full-time residential postgraduate program.

The program is designed for working professionals who remain employed while studying. Consequently, the primary objective is professional upskilling, technical specialisation, and career advancement rather than campus recruitment. Professionals can use the skills and M.Tech qualification to seek:

• Internal promotions
• AI/ML role transitions
• Technical leadership opportunities
• Movement into specialised AI teams
• Opportunities in data science and machine learning
• Career transitions into AI-focused organisations
• Greater responsibilities in existing technology roles

The absence of traditional campus placement is an important consideration for candidates comparing WILP with a full-time on-campus M.Tech.

Faculty

The M.Tech. Artificial Intelligence & Machine Learning program WILP is supported by BITS Pilani faculty and industry professionals.  The current program has a broader WILP ecosystem that includes faculty and industry experts, with alumni contributing to the learning experience. 

The combination of academic faculty and industry participation is intended to provide learners with both theoretical understanding and practical perspectives.