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Program Code


Entry Year



2 Years (4 Semesters)



MBA in Business Analytics

As Big Data becomes a major challenge for most companies, our active and globally connected MBA program in Business Analytics equips students to hone technical, computational, management practices, leadership and communication skills to lead organizations through crucial business decisions. The program also offers comprehensive training in data mining, data analysis and data visualization techniques to improve prediction analysis and develop steep marketing intelligence.

Career Prospects

Business analytics is the process of collecting, storing, and analyzing data to help a business improve its efficiency and increase its revenue. If an organization uses a data-driven approach in its decision-making process, then analytics plays a major role in their approach to decision making. According to MarTech, the digital universe has 2.7 Zettabytes of data, and if most of it is unstructured, analyzing it all will require a lot of data analysts. This means there are a lot of career opportunities in business analytics now more than ever.

Our Associate

Business Analytics by Institute of Analytics (IoA)

Business Analytics by Institute of Analytics (IoA) The MBA Business Analytics is accredited by the Institute of Analytics (IoA), UK. The accreditation provides an opportunity to apply for an Associate Membership at IoA after the course completion.

Program Outcome:

  • Ability to apply analytics techniques to analyze and interpret the data
  • Ability to use tools such as Python, R etc. to solve business analytics problem
  • Recognize the importance and value of mathematical and statistical thinking, training, and approaches to problem-solving, for a diverse variety of disciplines
  • Have necessary skills and understanding to take up advanced topics in the area of analytics and thus, enhance their career
  • Analyze the relationship between strategic decision making and corporate financing decisions.
  • Students will work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and to generate actionable insights

Curriculum Structure

Program Structure


  • Makes you industry-ready
  • Syllabus is in line with industry expectations
  • Emphasis on skills and competencies


  • Helps you apply concepts on real-world situations
  • Experiential learning through live projects


  • Practice with practitioners
  • Live sessions with industry experts
  • Consistent interactions with practitioners


  • Assemble information to support theories
  • Advanced understanding in an area of study
  • Increases knowledge and promotes learning
  • Tools and techniques for implementing and developing new solutions

TAP-R model of real learning

One or two courses (subjects) are scheduled at a stretch– till the completion You complete a course and attend exam You don’t have to learn multiple subjects at same time! Upto 20% of the sessions are by industry experts All of the assignments are project-centric / live projects based Tools and Labs will bring in experiential learning Entrepreneurial culture is built-in

Study Tours

Reliance Industries Pvt Ltd

Workshop on Retail Marketing and
Consumer Behavior

Nanyang Business School

Conference on Corporate Taxes and
Organizational behaviour

Harvard Business School

Business Exhibition on Systems and
Big Data

News & Events

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