Post Graduate Certificate in Business Analytics

Post Graduate Certificate in Finance & Accounts

Analytics is the next big thing that is already starting to transform businesses and their ability to compete by helping them make smarter decisions. Analytics is the new career of choice for those who want to stay ahead. It is among the most well paid careers (it is also among the most well paid first-jobs). Analytics is one of the best career options today and those who invest in it will be on the fast track to success.

A career in Analytics requires knowledge and skills from an extremely diverse set of fields: mathematics, statistics, economics, econometrics, IT, marketing, finance, HR, domain knowledge and of course a set of software tools. This means that while almost anyone with an interest in numbers can get in, everyone needs some training. Analytics is not so much about tools or technologies, it is a way of thinking that allows the use of knowledge, tools and technologies to extract valuable insights and to predict what is likely to happen based on the data.

The Post Graduate Certificate in Business Analytics is the most comprehensive training program - it is designed based on inputs from the industry. It is designed and developed by practitioners and is delivered by experts. The program includes both - concepts as well as the hands-on skills through assignments, cases, and projects to succeed in an Analytics career.


Foundation of Analytics (FA)
  • Business Analytics - Applications and Scope
  • Essential Mathematics for Analytics
  • Essential Economics for Analytics
  • Fundamental Statistics for Analytics
Statistical Inference (SI)
  • Sampling Techniques
  • Estimation - Point and Interval
  • Hypothesis Testing
  • Correlation
  • Predictive Analytics
  • Regression - Linear, Non-linear, Logistic
  • Basics of Time Series
  • Practice through advanced excel
Applications of Analytics in Business Function (AABF)
  • Financial Management
  • Operations Management (including Operations Research)
  • Marketing Management
  • Qualitative and Quantitative Applications in Market Research
  • Supply Chain Management and special application of OR
  • Human Resources Management
Special Analytical Methods (SAM)
  • Advanced Predictive Methods
  • Machine Learning
  • Data Mining
  • Text Mining
Information Management in Analytics (IMA)
  • Analytic Software and Programming
  • Data Preparation and Visualization
  • ETL (Data Extraction, Data Transformation, Loading)
  • Analytic Software - R, SAS, excel, Solver
  • Basics of Big Data Analytics - Hadoop, HDFS, Hive, Pig, Python
Case Study in Analytics1 (CSA1) - Group Activity
Analytics Project (AP)- Group Activity
Advanced Business Forecasting (ABF)
  • Advanced Forecasting - Exponential Smoothing, Parameters
  • AR (Auto Regressive), MA (Moving Average), ARMA & ARIMA
  • Heteroscedastic Time Series - ARCH, GARCH
  • Forecasting/ Time Series using R
Advanced Analytics (AA)
  • Adv. Linear Algebra, Simultaneous Equations
  • Adv. Machine Learning
  • Adv. Data Mining & Text Mining
  • Adv. Operations Research
  • Adv. Market Research
  • Big Data Analytics
Application of Analytics in Integrated Business-Environment (AAIBE)
  • Scope and application across Industry Verticals (Domains)
  • Banking, Finance, Healthcare, Utilities, Entertainment, Media
  • Case Study in Analytics 2 (CSA2)- Group Activity
Business Analysis Project (BAP)

Program Eligibility

  • Candidate should be a graduate, BTech/ MCom/ MBA or Equivalent
  • Bachelor's or Master's degree with Maths / Stats/ Eco as one of the subjects
  • Candidate should have minimum 60% aggregate marks in Class 12
  • If Candidate has less than 60% but more than or equal to 55% in class 12, the graduation marks should be 60% or more
  • Based on an Admission Test on Logical Reasoning, Analytical Ability and basic Mathematics

This Test consists of 30 questions for a duration of 1hour. Candidate should get Amber or Green in the Business Analytics Admission Test, this means the cut-off score for admission into the program is a score of >=15

Exit Profile

After completing the program, learner will be able to understand business problems involving analytics and independently do statistical modelling for predictive analytics for a variety of business functions in a number of key industry verticals

Placement Process

Students will be eligible for Placement assistance by meeting following criteria:

  • Should successfully complete the program with a CGPA of >=6
  • Should have minimum attendance of 75% in the program
  • Placement facility will be available to freshers (with no work experience)