B.Tech. Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries across the globe, creating a strong demand for professionals skilled in these technologies. Working professionals, especially in fields such as IT, software development, and data analysis, are increasingly seeking opportunities to upskill and transition into AI and ML roles.
The seven-semester B.Tech. Artificial Intelligence and Machine Learning under the Work Integrated Learning Programme for working professionals is designed to provide this advantage to the learners. The programme provides a broad intellectual foundation in contemporary technologies while developing the relevant engineering fundamentals and introduces the important methods of technology practice.
B.Tech. Artificial Intelligence and Machine Learning is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.
Option to pay fees using easy EMI with 0% interest and 0 down payment
Programme Highlights
- The B.Tech. Artificial Intelligence and Machine Learning programme is a Work Integrated Learning Programme (WILP) spanning seven semesters. BITS Pilani's Work Integrated Learning Programmes are approved by the University Grants Commission (UGC).
- Attend live-lectures from anywhere over an online technology-enabled platform. These live lectures would be conducted by faculty mostly on weekends or after business hours enabling working professionals to pursue the programme along with their jobs.
- Lectures conducted by BITS Pilani faculty and experienced industry professionals.
- Demonstrate an understanding of various computer science concepts and principles to create AI based solutions.
- Understand the professional, legal, social and ethical issues of AI & ML techniques and appropriate usages.
- Design, implement, and critically evaluate end-to-end machine learning pipelines and AI solutions for diverse real-world problems across various domains.
- The Project in the final semester enables participants to apply concepts and techniques learnt during the programme.
- Become members of an elite & global community of BITS Pilani Alumni.
- Option to submit fee using easy-EMI with 0% interest and 0 down payment.
UGC Approval
BITS Pilani is an Institution of Eminence under UGC (Institution of Eminence Deemed to be Universities) Regulations, 2017. The Work Integrated Learning Programmes (WILP) of BITS Pilani constitutes a unique set of educational offerings for working professionals. WILP are an extension of programmes offered at the BITS Pilani Campuses and are comparable to our regular programmes both in terms of unit/credit requirements as well as academic rigour. In addition, it capitalises and further builds on practical experience of students through high degree of integration, which results not only in upgradation of knowledge, but also in up skilling, and productivity increase. The programme may lead to award of degree, diploma, and certificate in science, technology/engineering, management, and humanities and social sciences. On the recommendation of the Empowered Expert Committee, UGC in its 548th Meeting held on 09.09.20 has approved the continued offering of BITS Pilani’s Work Integrated Learning programmes.
Programme Curriculum
Participants need to take at least 24 courses towards coursework, and complete one Project/ Dissertation. The coursework requirement for the programme would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.
- Essential Mathematics for Machine Learning
- Discrete Mathematics and Graph Theory
- Introduction to Python Programming
- Digital Electronics and Microprocessors
- Database Systems and Applications
- Probability and Statistics
- Foundations of Data Structures & Algorithms
- Computer Organization and Architecture
- Optimization Techniques for Machine Learning
- Operating Systems
- Foundations of Artificial Intelligence
- Data Management and Feature Engineering
- Introduction to Deep Learning
- Ethics in AIML
- Software Engineering
- Machine Learning Fundamentals
- Introduction to Reinforcement Learning
- Introduction to Natural Language Processing
- Elective 1
- Elective 2
- Attention Based Architectures
- Elective 3
- Elective 4
- Elective 5
- Project Work
- Introduction to DevOps
- Application Development for ML
- Edge AI
- Computational Intelligence
- Computer Networks
- MLOps
- Introduction to Cloud Computing
- AI System Architecture
- Introduction to Information Retrieval
- Computer Vision
- Design of Conversational Experiences
- Big Data Systems
- Object Oriented Programming and Design
Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.
Mode of Learning
The Mode of Learning is based on a powerful educational approach called Work Integrated Learning. For detailed description of work integrated learning Click here
The benefits of the Work Integrated Learning Mode are as follows:
1) It enables Working Professionals to pursue the programme without any career break and along with their jobs.
2) The programme curriculum is designed for high relevance to sectors, industries and organisations the students are presently employed in.
3) Learning experience design also endeavours to integrate support and value addition by the Industry Mentors and employer organizations.
4) Enables working professionals to attend live-lectures from anywhere over an online technology-enabled platform. For the benefit of working professionals these live lectures are conducted by faculty mostly on weekends or after business hours.
5) Leverages the latest educational technologies to provide easy access to asynchronous learning materials, Learner support services and peer to peer collaboration etc.
6) Great emphasis on experiential learning by providing access to state of the art remote labs, virtual labs and cloud labs and simulations as applicable to individual courses.
EXPERIENTIAL LEARNING
The programme emphasises on Experiential Learning, it allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through:
- Simulation based hands-on exercises.
- Case Studies and Assignments: Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.
CONTINUOUS ASSESSMENT
Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.
CASE STUDIES AND ASSIGNMENTS
Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.
DISSERTATION/ PROJECT WORK
The seventh semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.
Mode Of Examination
Mode of Examinations applicable for students admitted in Batch starting in January 2025:
Semester 1, 2, 3, 4, 5 & 6 have Mid-semester Examinations and Comprehensive Examinations for each of course. These examinations are mostly scheduled on Friday, Saturday or Sunday. Students need to appear in person for taking the examinations at the institution’s designated examination centres as per the examination schedule, Instructions, rules and guidelines announced before every examination.
Students can take their examination at any of our 34 designated examination centres in India at the following locations:
South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Hosur, Madurai, Kancheepuram and Coimbatore.
North Zone: Delhi NCR, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur and Pilani.
West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore and Nagpur.
East Zone: Kolkata, Guwahati, Jamshedpur, and Bhubaneswar.
In addition to these locations, the Institution also has a designated examination centre in Dubai.
During these semesters, in addition to the above mentioned Mid-Semester and Comprehensive examinations, there will also be Quizzes/Assignments conducted online on the Learning Management System (LMS) as per the course plan in which the students need to participate.
In Semester 7 (Final Semester), the student will be doing Dissertation/Project Work as per the Institution’s guidelines.
For International Students:
- In addition to the above locations, the institution also has a designated international examination centre, located in Dubai.
- To facilitate the learning of international students, applying from any other location except India and Dubai, the mode of examinations will be online, which can be availed by meeting the requirements of the institute.
- To know more about the requirements for online examinations, Click here
- 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.
Eligibility Criteria
Working professionals holding Diploma or B.Sc. with at least 60% aggregate marks, and mathematics/ statistics as mandatory subjects at university level.
How to Apply
- Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.
- Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press ‘Submit’ button given at the bottom of the form.
- Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
- Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.
- Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani.
-
In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.
Important: In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their HR/ other authorised organisational representative. Such candidates may instead request an email approval to be sent to their official email ID by the HR using the format available through this link.
-
Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.
Important: In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their Mentor. Such candidates may instead request an email approval to be sent to their official email ID by the Mentor using the format available through this link.
- Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
- Make photocopies of the documents mentioned in this Checklist.
- Applicants are required to self-attest all academic mark sheets and certificates.
- Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are DOC, DOCX, PDF, ZIP and JPEG.
- Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
- Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.
Featured Faculty
Dr. G. Venkiteswaran
Prof. K. Gopala Krishna
Prof. Ankur Pachauri
Prof. Mohammad Saleem Bagewadi
Prof. Vijayalakshmi Anand
Prof. Satya Sudhakar Yedla
Prof. Akshaya Ganesan
Prof. Vineet Garg
Prof. Chandra Shekar R K
Prof. Sugata Ghosal
Dr. Saikishor Jangiti
Prof. Akanksha Bharadwaj
Dr. Lucy J. Gudino
Dr. Anindya Neogi
Prof. Swarna Chaudhary
Prof. Preeti N G
Dr. Jyotsana Grover
Fee Structure
The following fees schedule is applicable for candidates seeking new admission during the academic year 2024-2025.
- Application Fees (one time) : INR 1,500
- Admission Fees (one time) : INR 16,500
- Semester Fees (per semester) : INR 66,750
The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.
Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay INR 83,250/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Option to submit fee using easy-EMI with 0% interest and 0 down payment. Click here to learn more.
Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.
Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.
For the examination centre at Dubai, in addition to the semester fees, for each semester there will be an examination centre fees of 1000 UAE Dirhams or equivalent per semester out of which 500 UAE Dirhams is to be paid at the time of appearing in Mid-semester examinations at Dubai Centre for that semester and the remaining 500 UAE Dirhams is to be paid at the time of appearing in comprehensive examinations at Dubai centre for that semester.
All the above fees are non-refundable.
Important: For every course in the program institute will recommend textbooks, students would need to procure these textbooks on their own.
FAQs
B.Tech. Artificial Intelligence and Machine Learning is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.
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.
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.
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, Hosur, Madurai, Kancheepuram and Coimbatore.
North Zone: Delhi NCR, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur and Pilani.
West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore and Nagpur.
East Zone: Kolkata, Guwahati, Jamshedpur, and 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.
Kindly note that BITS Pilani does not assign Mentors to programme participants.
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.