Business Analytics Graduate

The badge earner has excellent critical thinking, visual modelling and analytical skills and can apply statistical, descriptive, predictive and prescriptive analytics to business situations to define business solutions. The individual has substantial knowledge of visual modelling, process mapping and risk assessment. The badge earner also has an in depth knowledge on Data Warehouse, Big Data & Hadoop and also knows the usage of several analytical tools.

Skills

Program objectives

  • To skill the students to identify, analyze and solve Business Analytics problems by applying knowledge of Mathematics, Science and Engineering with modern engineering tools in the specific areas of:
    • Applied Statistics
    • Data Warehouse & Multi-dimensional Modeling
    • Data Mining and Predictive Modeling
    • Business Intelligence
    • Operations Research & Optimization
    • Expert System
    • Real-time monitoring & Analysis
    • Social, Web & Mobile Analytics
    • Big Data Analytics
    • Business Process Management
  • To provide conceptual knowledge in the Business Analytics domain
  • To provide interdisciplinary knowledge
  • To expose students with advanced tools used in industry
  • To develop team work experience of professionals skills for IT Industry.
Subject Name Theory Credits Lab Credits
Applied Statistics with Lab 3 2
Data warehouse & Multidimensional Modelling with Lab 3 2
Data Mining & Predictive Modelling with Lab 3 2
Business Intelligence with Lab 3 2
Operations Research & Optimization with Lab 3 2
Social & Web Analytics 3 2
Mobile Analytics 3 0
Big Data & Hadoop 3 2

Program outcomes

  • To demonstrate skills in Business Analytics techniques and technologies;
  • To test applications with concepts of Business Analytics domain subjects;
  • To demonstrate oral and written skills for technical presentations and documentation;
  • To demonstrate Business Analytics projects worked on as a team

What it takes to earn this badge

  • Must be a University student of a 4-year undergraduate program enrolled in the IBM Innovation Centre for Education Program.
  • Minimum attendance determined by the University in all the semesters.
  • Minimum marks for both Theory and Practical exams in all semesters, as mandated by the University.
  • The minimum number of IBM specialization subjects completed should be 7. Completion of projects in the relevant semesters including an external internship with grades, as mandated by the University.
  • All the above criteria to be verified by the University.