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M.Sc. Business Analytics

M.Sc. Business Analytics is a UGC-approved five-semester Work Integrated Learning Programme offered by BITS Pilani and designed for working professionals who are aspiring for a rapid career progression in the high-growth areas of Business Analytics and Big Data. The programme enables professionals to stand out in highly competitive workplaces by acquiring a prestigious Master's level qualification from a premier institution. The US BLS projects that demand for management analysts will increase by 11% from 2021 to 2031, which is much faster than average for all occupations. Students can attend live lectures from anywhere using an online technology-enabled platform, mostly conducted on weekends or after business hours.

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  • Course Start Date:

    Starting Soon

  • Application Deadline:

    To be announced

  • Duration:

    2.5 Years

3,68,500

Overview

The M.Sc. Business Analytics programme is a Work Integrated Learning Programme (WILP) spanning five semesters and approved by the University Grants Commission (UGC). It offers a blend of classroom and experiential learning through live online lectures conducted mostly on weekends or after business hours, enabling working professionals to pursue the programme alongside their careers. Students gain access to state-of-the-art remote labs for data analysis and visualization using contemporary software tools. The programme features practitioner-oriented insights from industry experts, helping students develop solutions to real-world problems using cutting-edge analytical techniques. The final semester includes a Dissertation (Project Work) that allows students to apply concepts and techniques learned throughout the programme. A Continuous Evaluation System provides timely feedback to help busy professionals stay on course.

Why MSc (Master of Science)?

The M.Sc. Business Analytics programme stands out with its practitioner-oriented approach, combining academic rigor with real-world applications. The curriculum is designed by experts from both academia and industry, ensuring relevance to current business challenges. Students gain hands-on experience through remote labs with industry-standard analytics tools like Tableau, SPSS, R, Python, and PowerBI. The programme's Work Integrated Learning model allows professionals to continue their careers while studying, immediately applying new knowledge to workplace challenges. The continuous evaluation system provides regular feedback, helping students progress steadily despite busy work schedules. Upon completion, graduates join the prestigious BITS Pilani alumni network, opening doors to enhanced career opportunities. The flexible payment options, including zero-interest EMI with no down payment, make this premium education accessible to working professionals.

What does this course have to offer?

Key Highlights

  • Program Structure: 5-semester program

  • Work Integrated Learning approach

  • Live online lectures on weekends/after business hours

  • Continuous evaluation system

  • Access to state-of-the-art remote labs

  • Experiential learning through lab exercises, assignments, case studies

  • Practitioner-oriented insights from industry experts

  • Dissertation in final semester

  • UGC approved qualification

  • Alumni status in BITS Pilani global community

Who is this programme for?

  • Working professionals with 1+ years of experience

  • Analysts looking to enhance technical skills in Statistics and IT

  • Statisticians wanting to gain programming skills and domain knowledge

  • IT professionals needing to strengthen quantitative knowledge

  • Professionals seeking career growth in analytics and big data

  • Individuals aiming for a prestigious qualification without career break

Minimum Eligibility

  • Minimum 60% aggregate marks in B.Sc./M.Sc./B.E./MCA/MBA or equivalent

  • Minimum one year of work experience after degree completion

  • Applicants with B.Com may apply if they have studied basic mathematics/statistics at 10+2 and Undergraduate level

Who is the programme for?

The Post Graduate Certificate Programme in Strategic Marketing & Digital Transformation admission process requires candidates to hold a graduate degree with a minimum of 2 years of work experience. Selection is based on application review and academic credentials. The programme follows a blended learning approach with live online sessions, self-paced modules, and a campus immersion component. Continuous evaluation includes assignments, quizzes, and a capstone project.

Selection process

How to apply?

Curriculum

The M.Sc. Business Analytics curriculum features a balanced combination of core courses and electives across five semesters. The core courses are mandatory, while electives can be chosen based on individual learning preferences. The first semester includes Marketing Management, Information Systems, Models and Applications in Operational Research, and Introduction to Statistical Methods. The second semester covers Financial Management, Business Data Mining, Supply Chain Management, and Introduction to Data Science. The third semester focuses on Advanced Statistical Methods, Big Data Analytics, Predictive Analytics, and Optimization Methods for Analytics. The fourth semester includes Analytics for Competitive Advantage and three electives. The final semester features Project Work and one elective. Available electives include Advanced Financial Modeling, Data Visualization, Financial Risk Analytics, HR Analytics, Investment Banking Analytics, Marketing Analytics, Marketing Models, Retail Analytics, Supply Chain Analytics, Real-time Analytics, and Text Analytics.

There are 6 semesters in this course

The curriculum for the M.Sc. Business Analytics programme comprises core courses and electives spread across five semesters. First semester: Marketing Management, Information Systems, Models and Applications in Operational Research, Introduction to Statistical Methods. Second semester: Financial Management, Business Data Mining, Supply Chain Management, Introduction to Data Science. Third semester: Advanced Statistical Methods, Big Data Analytics, Predictive Analytics, Optimization Methods for Analytics. Fourth semester: Analytics for Competitive Advantage, three electives. Fifth semester: Project Work, one elective. Elective options include Advanced Financial Modeling, Data Visualization, Financial Risk Analytics, HR Analytics, Investment Banking Analytics, Marketing Analytics, Marketing Models, Retail Analytics, Supply Chain Analytics, Real-time Analytics, and Text Analytics. The programme emphasizes experiential learning through case studies, assignments, lab exercises, and a final semester dissertation that allows students to apply their knowledge to real-world problems.

First Semester

Second Semester

Third Semester

Fourth Semester

Fifth Semester

Electives

Programme Length

The M.Sc. Business Analytics is a five-semester programme designed for working professionals. The program duration is approximately 2.5 years, with flexibility built in to accommodate the schedules of working professionals. All classes are conducted online, mostly on weekends or after business hours, allowing students to continue their careers without interruption. Each semester has specific course requirements, with the final semester dedicated to a dissertation or project work that enables practical application of the concepts learned throughout the programme.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Assistant Professor of Management,Expert in Organizational Behavior, HR & Marketing

Dr. Anjani Srikanth Koka is an Assistant Professor in the Management Group, Off-Campus Programs at BITS Pilani, based in Hyderabad. He holds an M.Sc. (Hons.) in Mathematics and a Master of Management Studies from BITS Pilani, along with a Ph.D. from the institute’s K.K. Birla Goa Campus. With prior experience in the IT industry, he transitioned to academia in 2009, driven by his passion for teaching. His expertise lies in Organizational Behavior, Human Resource Management, Marketing, Soft Skills, and Professional Communication.

Professor & Group Leader, Management ,Expert in Finance, Risk Management & Banking

Prof. Krishnamurthy Bindumadhavan is a Professor and Group Leader of the Management Group, Off-Campus Programs at BITS Pilani, based in Hyderabad. A Fellow of IIM Kashipur (equivalent to Ph.D.), he is also a CFA charterholder from CFA Institute, USA, and an FRM titleholder from GARP, USA. Additionally, he holds an MBA from the University of Kentucky and an undergraduate degree in engineering. With over 15 years of international experience in banking and financial services, including eight years with Capital One in the U.S., he has also worked as a consultant, entrepreneur, and faculty. Passionate about teaching, he joined BITS Pilani in December 2014, bringing his deep expertise in finance, risk management, and banking.

Tuition Fee

The M.Sc. Business Analytics programme at BITS Pilani has a structured fee schedule that includes a one-time application fee of ₹1,500 and a one-time admission fee of ₹16,500. The semester fee is ₹70,100 per semester, and with the programme spanning five semesters, the total semester fees amount to ₹3,50,500. Upon admission, students are required to pay ₹86,600 (comprising the admission fee and first semester fee), while subsequent semester fees are payable at the beginning of each respective semester. The programme offers flexible payment options including an easy EMI facility with 0% interest and 0 down payment, allowing working professionals to manage their educational expenses conveniently. Payments can be made through net banking, debit card, or credit card via the Online Application Centre. Students appearing for examinations at the Dubai centre will incur an additional examination centre fee of 1,000 UAE Dirhams per semester. All fees are non-refundable, and students must separately purchase recommended textbooks at their own cost.

Fee Structure

Payment options

Financial Aid

Learning Experience

The M.Sc. Business Analytics programme offers a unique learning experience through its Work Integrated Learning approach. This educational model enables working professionals to pursue the programme without taking a career break. The curriculum is designed for high relevance to various sectors, industries, and organizations where students are employed. Live lectures are conducted online, primarily on weekends or after business hours, allowing professionals to attend from anywhere. The programme leverages modern educational technologies for easy access to asynchronous learning materials, support services, and peer collaboration. There's a strong emphasis on experiential learning through state-of-the-art remote labs, virtual labs, cloud labs, and simulations. The Analytics Lab provides access to software packages such as Tableau, SPSS, Stata, @risk, StatTools, Eviews, Anaconda Navigator, R, Python, and PowerBI, enabling students to perform descriptive, predictive, and prescriptive analytics across various functional areas. The continuous assessment system includes graded assignments, quizzes, mid-semester exams, and comprehensive exams, providing regular feedback to help students stay on track.

University Experience

The M.Sc. Business Analytics programme at BITS Pilani offers a comprehensive university experience despite being delivered primarily online. As a Work Integrated Learning Programme, it provides the same high-quality education as campus-based programs in terms of structure, rigor, instruction, labs, assessment, faculty profile, and learning support. Students become part of the prestigious BITS Pilani academic community, with access to its extensive resources and networks. The programme features distinguished faculty members with strong academic credentials and industry experience, including Prof. Sandeep Kayastha, Prof. Krishnamurthy Bindumadhavan, Dr. Gaurav Nagpal, Dr. Anjani Srikanth Koka, Prof. Pravin Y Pawar, Prof. Vineet Garg, Dr. Sudeep Kumar Pradhan, Prof. K. Gopala Krishna, Prof. Swarna Chaudhary, Dr. Annapoorna Gopal, Prof. Sidharth Mishra, and Dr. Jyotsana Grover. Upon successful completion, participants become members of the elite global community of BITS Pilani Alumni, opening doors to valuable networking opportunities and career advancement.

Testimonials

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About the University

University

Established in 1964, BITS Pilani is a prestigious private university located in Pilani, Rajasthan, India. It is recognized for its high academic standards and innovative curriculum in engineering, sciences, management, and humanities. BITS Pilani is known for its unique educational model that emphasizes self-directed learning and practical experience.

15000

Total Students

10000

Undergraduate Students

5000

Graduate Students

Affiliation & Recognition

National Board of Accreditation (NBA)

National Board of Accreditation (NBA)

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Jagat Sesh Challa
Jagat Sesh Challa

4.8 rating

12 Reviews

7,526 Students

4 Courses

Assistant Professor

Jagat Sesh Challa, Assistant Professor at BITS Pilani, specializes in Big Data Analytics and HPC. He holds a Ph.D. in Computer Science and leads the Postman API and Coding Innovation Lab.

Naraparaju Kishore Kumar
Naraparaju Kishore Kumar

4.6 rating

23 Reviews

14,847 Students

1 Course

Associate Professor Department of Mathematics

Naraparaju Kishore Kumar, Associate Professor at BITS-Pilani, holds an M.Sc. from Sri Venkateswara University and a Ph.D. from IIT Kanpur. He has taught at NIT Warangal, IIT Gandhinagar, and conducted postdoctoral research at the Max-Planck Institute.

Career services

The Career Services at BITS Pilani provide comprehensive support for students' career development. Services include career counseling, resume workshops, job fairs, and networking events with industry professionals. The center facilitates internships and co-op opportunities to enhance practical experience.

Numerous

Internship Opportunities

95%

Job Placement Rate

2000+

Career Counseling Sessions

Degree Course Image
  • Course Start Date:

    Starting Soon

  • Application Deadline:

    To be announced

  • Duration:

    2.5 Years

3,68,500

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.