MKES IMSR - Institute of management studies Students

Post Graduate Programme in Big Data Analytics (PGP-BA)

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Post Graduate Programme in Big Data Analytics (PGP-BA) : -

Location: Mumbai

School:MKES Institute of Management Studies and Research (MKES-IMSR)

Intake: 20 participants (maximum)

Fees: Rs.1.20 Lakhs* + 18% GST

* Registration Fee on confirmation to block seat - Rs.45,000/- rest of the amount to be paid in 3(Three) equal installments of Rs.25,000/- each.

Welcome to M.K.E.S College of Management Studies

Performance based Scholarship for participants as under:

(a) Students scoring 85% and above will get a scholarship to an extent of 50% of the total fee

(b) Students scoring between 75% to 84.99% will get a scholarship to an extent of 35% of the total fee

(d) Students scoring between 55% and 64.99% will get a scholarship to an extent of 5% of the total fee

(e) No scholarship will be given to students scoring less than 55% marks.

Note - The above percentage will be calculated on an aggregate basis at the end of the programme.

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Programme Learning Objectives

Why PGP-BA Programme?

Big Data Analytics has been defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions while managing business.

Big Data Analytics is more than just a study of analytical methodologies or techniques used in logical analysis. It is a process of transforming data into actions through analysis and insights in context of organizational decision making and problem solving.

Participants with a range of activities includes Business Intelligence which comprises of standard and adhoc reports, queries and alerts; and Quantitative Methods such as Statistical Analysis, Forecasting/Extrapolation, Predictive Modeling (such as data mining), Optimization and Simulation.

Scope And Who Should Apply:

We welcome applications from graduates in any stream with at least 50% marks, professional interests and personal aspirations.

As a way of sharing your personal vision, please prepare a written statement of purpose that describes why you are interested in a career in Business Analytics; your specific interests in the academic programmes of MKES-IMSR, and how earning a Post Graduate Programme in Big Data Analytics will contribute to you achieving your professional goals.

Eligibility Criteria

Admission Procedure

Fees Structure

Application Form

Topics Covered

Module1:Introduction to Big Data Analytics

Introduction to Business Intelligence and methods of Business Analytics.
An overview of Business Data Structures.
Evolution of Data Analytics.
Data lifecycle and Data collection methods.
Simulation methods, Optimisation methods.
Introduction to Bigdata

Module2:Introduction to Statistics and Statistical tools

Introduction to the basic concepts of Probability, Common distributions
Statistical methods, and Data analysis.
Descriptive Statistics with Distributions and Theorems.

Module 3:Introduction to R-tool basics

Introduction to R-Tool Basics
Standard Statistical models in R
Linear Models

Module 4:Introduction to Data Science

Data Mining.
Data Warehousing.
Data Mining Tools, Methods and Techniques.

Module 5:Data Visualization (HADOOP / TABLEAU)

Introduction to HADOOP.
Introduction to TABLEAU.
Data Blending tools and Dashboards.
Publishing to Smartphones and Tablets.

Module 6:Introduction to Machine Learning

Introduction to Concept Learning.
Bayesian and Computational Learning.
Instant Based Learning
Advanced Learning Algorithms – Analytical Learning, Reinforcement Learning, Temporal Difference Learning

Module 7:Functional Application of Analytics

Text Analytics and Natural Language Processing
Functional Application of Analytics
Operations & SCM Analytics
Financial Analytics
Digital Media Analytics
Customer Analytics
HR Analytic

Consulting Projects

How to deliver a Business Analytics - centric project to an actively engaged client applying the techniques and using the tools learnt in the programme so far.
Seek to provide insight and analysis of data aggregation processes in various organisations and benchmark best practices.

Experimentation for Data Analysis

Many issues in Marketing, Human Resources Management, Accounting and Economics can be answered only by design of experiments.
There is an increasing use of field & natural experiments, even in the most State-of-the-Art big data organisations - Google, Facebook, Amazon, etc. Knowing how to design experiments that will complement the skills learnt in the Big Data Analytics programme.
In addition to data acquisition and data mining, you learn data creation in this module.

Pedagogy

The emphasis of the programme will be on developing Attitude, Skills & Knowledge (ASK) leading to ability of the candidate to apply learnings to business settings.

To achieve the above, PGP-BA programme will comprise of a set of courses aimed at developing an inquisitive and analytical mind, which proactively seeks the right knowledge, appropriate skills and attitude necessary for business.

The pedagogical approach followed will be based largely on ‘Learning by Doing’ and using ‘Business as Lab’. The experiential nature of the programme will involve four stages:

Learn the theoretical frameworks and models in the class based on the following 4x3 architecture:
Examine and reflect on the application of such frameworks under a wide variety of settings.
Make wider sense of such attitudes, skills and knowledge as applicable to business.
Learn and share the new knowledge to consolidate such learnings and add to the repertoire of knowledge for managing businesses effectively.

Group Projects

Student groups will be asked to complete a series of group projects that would enable them to apply their analytical and critical thinking abilities to solve complex business problems.

Thus, the programme will be conducted by a combination of lectures, class discussions, and case studies. Participants are advised to read the relevant material before sessions to enhance their class participation and understanding.