Executive PGDM - Business Analytics (2-30 yrs)

Learn Analytics to get a unique perspective to your Business Decision Making

Course Snapshot
  • FeeINR 3,75,000
  • Work Experience2 - 30 Years
  • Duration15 Months
  • Delivery MethodOnline + Classroom
Course Detail

Program Highlights:

- AICTE approved 15-months Executive Post Graduate Diploma in Management (Executive PGDM)
- Curriculum designed and delivered by a blend of highly qualified and experienced faculty from IFIM and industry experts
- Hybrid model of course delivery via facility of live streaming of lectures and classroom teaching with access to recorded sessions
- Convenience of weekend classes

Learning Objectives:

- Manage the Business Analytics process
- Get familiar with state-of-the-art software applications for Business Analytics
- Realize the importance of social media as a part of business strategy
- Understand the application of business analytics for improving the efficacy and quality of
decision-making within an organization
- Realize the importance of including Big Data as a part of business strategy
- Manage multi-discipline teams
- Understand the roadmap for analytics implementation
- Understand the best practices for Business Intelligence rollout
- Understanding to evaluate the impact of analytics on overall strategy

Why you should attend?

Data and algorithms rule the business. We have stepped into the new era of business, a fast-paced and open-source world in which competitive advantage is obtained through analytic power. Companies are being flooded with huge amount of data collected in a multichannel business environment, leaving an untapped potential for analytics to better understand, manage &
strategically exploit the complex patterns hidden in the data.

IFIM Business School launched the programme in September 2014. The programme has gained significant attention from the corporate world as well as practitioners. Individuals from various companies having different career aspirations have enrolled for the programme like IBM, Genpact, TCS, Herman Miller, Schneider Electric, Wipro, Fujitsu, United Healthcare, Mindtree, etc.

The programme instills in you how to use analytical tools and techniques in various business scenarios and equips you:

- To advance your career goals in the analytics domain at a strategic level.
- With training on enterprise-wide perspectives on data, result communication, business intelligence roadmap and analytics application.
- To develop abilities needed to foster an analytical culture within your organization.
- With access to the tools being taught which include RStudio, Hadoop, SPSS, Tableau, Advanced EXCEL, SQL Cognos, Power BI and Open Source predictive analytics tools like Rattle, KMIE (Text Mining & Deep Learning) and Open Source Text Mining.
- How to analyse calling behavior of a telecom customer to predict whether the customer will churn during the next three months and join some other telecom service provider for a better deal; Strategies to increase Average Revenue Per Unit..
- How to analyse the market basket of a supermarket goer in order to decide on product bundling, Pricing, next best offer, improving shelf space optimization and so forth.
- Optimize the Inventory and manage the Supply Chain efficiently.
- How to use a fraud detection model in a credit card transaction scenario to check legitimacy of transaction;
- How to study the credit payments of a customer in a bank to predict whether the customer will default in loan payment during the next payment cycle;
- How to use day-to-day transactional business data more strategically to price products and segment customers;
- How to draw more insight from organisation's historical purchase data of customers to forecast long term demand projection, than just next quarter's projections using Demand Forecasting Model;
- How to draw insight using text analytical tools from all the interactions that the customers have with a company through E-mail, Facebook & Twitter, rather than just being read and saved resulting in increased Brand Equity.
- Use Machine Learning and Cognitive Intelligence techniques for process automation and recommendation systems.

Career Prospects

This data-intensive world creates a huge demand for the people with the right knowledge of Business Analytics. So the future of the students pursuing the course looks too bright.

Following can be some of the prospective career options for students to choose from

- Business Analyst
- Financial Analyst & Risk Management professional
- Sr Business Analyst
- Digital Marketing professional
- Manager-Modeling
- HR Analytics professional.
- VP Business Analytics

Desired Candidate Profile

Graduate in any discipline with minimum of 50% marks in aggregate from a recognized University and work experience of three years or above

Course Modules

Term - I (6 Months)

- Business Economics and Strategy
- Marketing Management
- Principles of Accounting and Management
- Business Statistics
- Logistics and Supply Chain Management
- Management of Innovative Technology (MIT)

Term - II (6 Months)

- Data Warehouse and Business Intelligence
- Predictive Analytics
- Descriptive Analytics and Data Visualization
- Big Data Analytics
- Machine Learning and Cognitive Intelligence
- Prescriptive Analytics

Term - III (6 Months)

- Social and Sentiment Analysis
- Specialized Domain Electives & Project courses (2) out of the following

Specializations:

Finance

- Financial Modeling
- Fraud Analytics

Marketing

- Digital Marketing
- Marketing Analytics

Operations

- Supply Chain Management
- Project Management & Software Project Management

HRM

- HR Analytics
- Predictive Modeling in HR