KSBL MS Business Analytics

Our business analytics program is tailored for individuals with a keen interest in leveraging data to drive informed decision-making. Unlike traditional data science programs, we go beyond technical skills and emphasize the application of analytics in a business context. There is no need for a computer science background to excel in our program, which combines business acumen with data science expertise.
Our distinguished faculty, comprised of industry experts, will guide you to learn how to analyze and interpret data to gain valuable insights and make data-savvy decisions that impact organizational success.
Upon graduation, you’ll be well-prepared to drive data-driven decision-making in your
organization, giving you a competitive advantage in today’s data-driven world. The demand for professionals with business analytics skills is on the rise, making this program a valuable investment in your future. Join us and unlock the potential of data analytics in shaping the
future of business.

Why Study Business Analytics at KSBL?

KSBL provides a unique ecosystem that enables hands-on learning during both in-classroom / lab teaching and thesis project selection and research. The transformationary nature of this field makes this program relevant for professionals from all sectors, industries and regions who realize the immense potential that it offers.

Organizations that leverage data and build insights are proven to outperform competitors. Data literate candidates are increasingly becoming most sought-after.

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MS Business Analytics Curriculum

The curriculum for the 1.5 year degree program is designed to cover all core pillars of business analytics to help managers and leaders meet their growth objectives. Our curriculum is designed to cover core concepts, teach the usage of statistical tools and develop insights, so managers and leaders are able to analyze, describe and predict. The curriculum is designed keeping in view hands-on applicability in key business areas of marketing, finance, HR, operations etc.

30 credit hours of courses to be completed in 1.5 years, with the flexibility of evening classes



Semester I

  • Data Analysis & Modeling
  • Programming for Data Science
  • Business Strategy in the Digital Era

Semester II

  • Machine Learning
  • Information Management
  • Marketing Analytics

Semester III

  • Elective Courses
  • Thesis OR Project

Elective Courses

  • Big Data Technologies
  • Mining the Web and Social Media
Course offerings are subject to change.
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Join KSBL - A growth led learning system that combines value-driven leadership and top-grade business skills.

More Information

For more information please call:
PABX: +92 (21) 38771999