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MBA Programme

DEGREE PROGRAMMES MBA in AI for Business

MBA in AI for Business

The global MBA in AI for Business market size is projected to reach USD 16,652 Bn by 2028 from USD 6,588 billion in 2021 at a Compound Annual Growth Rate (CAGR) of 13.9% during the forecast period 2022-2028 according to Valuates Report. The Financial Services industry is currently witnessing a huge transformation driven by innovative technologies such as Blockchain, Artificial Intelligence, Cloud Computing, Internet of Things and Mobile Computing. Over the past decade, many new Fintech firms have disrupted the conventional financial services industry by leveraging these new technologies and offering customised, value-added services in a rapid manner. There is a huge demand for people with the right skill sets and understanding of how these emerging technologies can be applied in the financial services industry. This program enables the participants to understand, analyse and effectively leverage the emerging financial innovations and become a part of the new Fintech revolution.

MBA in AI for Business is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.

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  • Programme Highlights
  • UGC Approval
  • Programme Curriculum
  • Learning Methodology
  • Eligibility Criteria
  • Fee Structure
  • How to Apply
Programme Highlights

  • MBA in AI for Business is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.

    • The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break.

  • The programme has a special emphasis on experiential learning through Simulations, Lab exercises, Work integrated learning activities, Data Analytics, Illustrations, Hands-on modelling, Case studies and problem solving

  • Practitioner-oriented insights from the industry experts will help you develop solutions to real-world problems using cutting-edge analytical techniques.

  • The project in the final semester allows students to apply concepts and techniques learned during the programme to real-world situations.

  • The programme entails a Continuous Evaluation System that assesses the learners, over convenient and regular intervals. Such a system provides timely and frequent feedbacks and helps busy working professionals to stay on track with the programme.

  • The education delivery methodology is a blend of classroom and experiential learning. 

  • Participants who successfully complete the programme will become members of the prestigious global community of BITS Pilani Alumni.

  • Option to pay fees using an 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

First semester

  • Business Statistics

  • Managerial Accounting

  • Managing People and Organizations

  • Marketing Management

Second Semester

  • Corporate Finance

  • Operations Management

  • AI Applications and Ecosystem

  • Applied Data Science

Third Semester

  • Managerial Economics

  • Strategic Management and Business Policy

  • Applied Machine Learning and Deep Learning

  • Domain Elective 1

Fourth Semester

  • Domain Elective-2

  • Domain Elective-3 / General Management Elective

  • Project

Pool of Domain Electives

  • AI in Finance

  • AI in Human Resource Management

  • AI in Marketing

  • AI in Operations and Supply Chain

  • AI Strategy, Ethics and Governance

  • Computer Vision for Business

  • Disruptive Applications of AI and Emerging Technologies

  • FinOps for AI

  • Human-centric AI

  • Management of AI Products

  • NLP and GenAI for Business

Pool of General Management Electives

  • Advanced Marketing Management

  • AI for Competitive Advantage

  • Business Environment, Laws, and Ethics

  • Business Research Methods

  • Data Visualization and Communication

  • Decision Analysis

  • Entrepreneurship and New Ventures

  • Entrepreneurial Finance

  • Enterprise Risk Management

  • Indian Ethos in Management

  • International Business and Trade

  • Leadership and Managing Change

  • Management Control Systems

  • Project Management

  • Strategic Human Resource Management

  • Technology Management in Business

For more information on programme curriculum download the programme brochure.

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.

Learning Methodology
Online lectures

ATTEND ONLINE LECTURES OVER WEEKENDS

Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

The class schedule is announced within 1 week of completion of the admission process.

The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

Digital Learning

DIGITAL LEARNING

Learners can access engaging learning material at their own pace which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

experimental Learning

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in classroom in simulated, and real work situations.This is achieved through:

  • In-depth data analytics workshops using R and python for courses like Financial Analytics, Risk Analytics, and Machine Learning and Deep Learning applications of Finance.

  • Practitioner’s perspective of applications of FinTech in Banking, Wealth management, Lending, Insurance and other major areas of Finance.

  • Leading banks and financial institutions across the world uses Bloomberg terminal to monitor and analyze real-time financial market data. The experiential learning components include Bloomberg terminal based demonstrations and assignments covering relevant concepts in "Financial Management", "Global Financial Markets and Products", "Financial Analytics" and other courses as appropriate.

CASE STUDIES AND ASSIGNMENTS: Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

Continour Assessment

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

Eligibility Criteria

Employed professionals holding an Integrated First Degree of BITS or its equivalent such as B.E./ M.Sc. in relevant disciplines,with at least 60% aggregate marks and minimum of one year work experience If any other degrees like B.Sc. / B.Com. / BCA with minimum 2 years of Work Exp is required and having studied at least one course in mathematics or statistics at 10+2 or higher level, and with minimum of two years work experience in relevant business domains or Employed professional holding recognized professional qualifications such as CA/CS/CWA/CMA/CPA, and having studied at least one course in Mathematics or Statistics at 10+2 or higher level, and with minimum of one year work experience in relevant business domains.

OR

Employed professionals holding a three-year undergraduate degree in such areas as Mathematics, Statistics, Science, Economics, Commerce, Humanities, and Business Management, and having studied at least one course in mathematics or statistics at 10+2 or higher level, with at least 60% aggregate marks and with minimum of two years work experience in relevant business domains.

OR

Employed professional holding recognized professional qualifications such as CA/CS/CWA/CMA/CPA, and having studied at least one course in Mathematics or Statistics at 10+2 or higher level, with at least 60% aggregate marks and with minimum of one year work experience in relevant business domains.

Fee Structure

The following fees schedule is applicable for candidates seeking new admission during the academic year 2026-27

  • Application Fees (one time) : INR 1,500

  • Admission Fees (one time) : INR 18,500

  • Semester Fees (per semester) : INR 73,100

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 91,600/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre.

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.

All the above fees are non-refundable.

How to Apply

  • Click here to visit the Online Application Center. Create your login at the Online Application Center by entering your official HCL Email ID only and create a password of your choice. Once your login has been created, you can anytime access the Online Application Center using your official email ID and password.

  • 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 details and press ‘Submit’ button given at the bottom of the form.

  • Now, click on 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card

  • Finally, click on 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one all the mandatory supporting documents such academic certificates and transcripts, photograph, etc. 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.