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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.

Instructors:

Dr. Anjani Srikanth Koka

Dr. Anjani Srikanth Koka

Prof. Krishnamurthy Bindumadhavan

Prof. Krishnamurthy Bindumadhavan

English

Not specified

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Degree Course Image
  • Course Start Date:

    Admission begins: April 2025

  • Duration:

    2.5 Years

3,51,750

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 Master of Science (MSc)?

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

Degree Course Image
  • Course Start Date:

    Admission begins: April 2025

  • Duration:

    2.5 Years

3,51,750

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.