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MPE-CBA

Application Form (Click Here to Apply)

Last Date for Registration - 02nd November, 2015
Course Commencement - 08th November, 2015

Programme Overview

Business analytics (BA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Increases in computing power and the amount of data collected have led to the development and widespread adoption of analytics by numerous industries.

The proposed programme on Business Analytics will combine coursework on developing analytical thinking, introductory and advanced statistical concepts, and applications across wide section of industry and functional domains.

In partnership with SAS, a 5-day ‘Statistical Business Analyst’ programme will be conducted by SAS leading to SAS Certification as well. This program will be delivered by SAS at the end of the Certification Program offered by NMIMS. The students will be provided by the SAS course material and the necessary software package with validity over the training period.

Rationale

Current day IT enabled organizations generate massive amounts of data (often referred to as "Big Data") from transactions, business interactions, social exchanges and sensors. Such data provides immense opportunity to use information to better-run the business.

This data continues to grow exponentially with increased adoption of Internet and mobile technologies. There is an expected shortage of talented analysts who can help organizations work with this much big data.

McKinsey Global Institute’s Big data:The next frontier for innovation, competition, and productivity estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”

Programme Architecture

  • Certificate Program in Applied Business Analytics
  • 9–month weekend Program with 6 Hrs/week
  • Followed by a 5-day ‘Statistical Business Analyst’ program that will be conducted by SAS leading to SAS Certification as well.

Programme Objectives

  • Create a breed of industry ready trained Analytics professionals
  • Develop the talent that will take their organization’s analytics capability to the next level
  • Understand how analytics and big data affect various functions including marketing and the supply chain, both now and in the future
  • Appreciate the impact of analytics and big data on the information industry and the external ecosystem for analytical and data services

Unique Features of the Proposed Programme

  • Focus on behavioral aspects of building analytics professionals and organizations
  • Study of industry / functional application of business analytics
  • Informal / formal talks by industry professionals
  • Blend of technology, quantitative techniques and functional domain
  • Participants will be provided exposure across variety of tools viz. Microsoft Excel, R, SAS, SPSS
  • Leading towards PGDM (Subject to academic council approval)

Curriculum – Mandatory Courses

In keeping with the key objectives the subjects that will be offered are as under:

  • Technology - Business Intelligence and Data Warehouse
  • Quantitative Skills - Statistics Refresher, Forecasting / Prediction
  • Functional Knowledge - Marketing Management, Financial Statement Analysis
  • Soft Skills - Thinking Analytically
  • Practical Application - Industry / Functional Applications

Delivery Schedule per Module

Term 1

  • Business Intelligence and Data Warehouse
  • Marketing Management
  • Statistics Refresher

Term 2

  • Forecasting / Prediction
  • Financial Statement Analysis
  • Thinking Analytically

Project

Marketing / Financial Analytics

SAS Programme

5-day ‘Statistical Business Analyst’ program that will be conducted by SAS leading to SAS Certification as well.

Participants

  • Working professionals with above 2 years experience with need to use strong quantitative techniques for decision making
  • Deep understanding of the challenges in the industry that they work in
  • Good exposure to broad range of IT tools. Should appreciate how Information Technology impacts business strategy
  • Exposure to business intelligence preferred

For further details please contact:

Ms. Smita Rao, Coordinator

Mobile: 09676999561 / 09676999562 

Email: Smita.Rao@nmims.edu

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