MBA (Business Analytics)

About the Program

With the advent of fourth industrial revolution along with pervasiveness of big data and machine learning, there is a huge dependence of today’s industries on administration, governance and analysis of large volumes of both structured and unstructured data. In today’s world of around 7.5 billion 2.5 quintillion bytes of data gets generated in 24 hours. The business world too is going through unprecedent trends. Some of the notable trends:

  • The entire global software market is forecast to be worth $628B in revenue, with $302B from big data applications.(Forrester,2020)
  • 37% annual increase in demand for Data Scientists and Business analytics professionals and related technical positions today (LinkedIn,2020)
  • Artificial intelligence (AI) and machine learning technology will gain $1.2 trillion annually from their market base.(Forrester,2020)

To manage and deliver data analytics projects there is a dearth of business analytics professional who can ensure delivery of big data and analytics promises. The course is designed with coordination of industrial partner and promises to fill the gap by provided skill-ready workforce to the industry. It involves a variety of case studies, workshop-oriented methodology and outcome based pedagogical approaches. The course is empowered by SAS who is a leader in the world of Analytics.

Program Educational Objectives (PEOs)

PEO 01:  Imparting knowledge and problem solving capabilities using management theory and analytical tools and techniques.

PEO 02:  Developing expertise in the various fields of analytics including finance, marketing and human resource management.

PEO 03:    Enhancing professional competency in meeting the challenges of a globalized world of business.

PEO 04: Developing ethical, social and environmental consciousness.

PEO 05: Inculcating fundamental concepts and skills of research in various fields of business analytics.

Program Outcome (POs)

PO 01: Domain Knowledge- Demonstrate the knowledge of analytical tools, techniques and management principles to solve complex organizational problems.

PO 02: Problem Solution: Integrate tools and concepts from multiple functional areas including computer programming, statistics and data analytics to solve business problems.

PO 03:  Leadership and Organization Skills- Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 04: Ethics and Governance:  Apply  principles  of  ethics  and  corporate governance in day to day business practices.

PO 05: Environment and Sustainability- Understand the impact of the professionals in societal contexts, and demonstrate the knowledge of, and need for sustainable development

PO 06:  Life-long Learning- Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of business world.

PO 07: Creativity and Innovation- Create ability to solve the problems of business and industry with help of data analytics.

PO 08: Employability:  Developing skills and capabilities to become the employee of choice for organizations in diverse fields.

Eligibility:

Minimum 50% aggregate in 10th or equivalent examination, Minimum 50% aggregate in 10 +2 or equivalent from any recognized board and in 60% in UG from any recognised University in India or abroad and CAT / MAT / XAT / AUAT qualified

Duration (in Year): 2 

Career Avenues:

Internship:

Intensive on the job training in form of internship (or Summer Training) at the end of Sem-2 (or year 1)

A report based on the summer training shall be submitted within four weeks from the commencement of the third semester.

Project Work:

Unlike internship, the project work must be conducted on a topic chosen from the specialization areas in collaboration with different industry/ organizations.

The students must undertake a Live Project worth 8 credits during the IV semester . The student is also required to submit a detailed report to the school/university and present the work to the faculty panel for evaluation/assessment

Placement & Career Opportunities / Research Opportunities

Irrespective of the industry, a majority of MNCs have their  offshore analytics centers in India. All the major players in Indian industries have analytics teams and require analytics professionals.

In the analytics industry, though the job profiles tend to go by various names , the course intends to cover a variety of job profiles including

  • Analytics Manager.
  • Analytics Consultant.
  • Analytics expert.
  • Data Analyst.
  • ML (Machine Learning)Specialist
  • ML Expert
  • Data Scientist.
  • Market Research Analyst.