Due to Covid19 Outbreak, Campus Visits are not mandatory until further notice.

Course description

Who Should attend & Course Pedagogy

  • Professionals who are looking to transition their career into Analytics.
  • Fresh graduates looking to enter the field of Data Science.
  • Entrepreneurs/business owners who are interested in learning analytics.
  • Working professionals in an organization with an acumen and interest in Data Science/ Machine learning etc.


  • Bachelor’s degree in any discipline with a minimum of 50% aggregate marks is compulsory.
  • Candidates with Mathematics or Statistics background will be given preference.


The program consists of online and offline sessions delivered by MDI faculty panel and senior professionals from the field of analytics. A combination of Cases, Exercises, Lectures, Project Work and Hands-on Practice using analytics tools will be used.


The Capstone Project gives you the opportunity to apply what you’ve learned about how to make data-driven decisions to a real business challenge. The project shall be mentored and evaluated by faculty from MDI. The project will be presented to the faculty board during 3 days of campus visit at the end of the course as a part of the requirement for the successful completion of the program.


  • Profile Screening
  • Interview with Panel
  • Selection & Letter of Intent
    Those who have scored as per following are exempted from the selection process and can go for direct admission.

GRE 300+, GMAT 650+, CAT 90+ Score & Professors from Indian Institutes/Universities

Assignments, Videos & Case Studies

Curated Course Syllabus

Stage I - Executive Development Programme in Business Analytics

Understanding Analytics and its Role in the Organizations

  • Course Brief & Expectations
  • Intro to AI
  • Introduction and Background of Data Analytics

Analytics Essential for Beginners

  • Charting
  • Arithmetic
  • Functions
  • Ordered Pairs
  • Sorting
  • Solver Plug-in

Binary Classification

  • Confusion Matrix
  • Costs Determine Optimal Threshold
  • Finding Positive and Negative Predictive Values
  • Area Under the Curve
  • Several input Variables
  • Practice

Data Measures

  • Quantifying the Informational Edge
  • Probability
  • Entropy of a Guessing Game
  • Dependence and Mutual Information
  • The Monty Hall Problem
  • Practice

Linear Regression

  • Introducing the Gaussian & Standardisation
  • Standard Normal Probability Distribution
  • Finding Probabilities from Z- scores
  • Central Limit Theorem
  • Algebra
  • Markowitz Portfolio Optimization
  • X and Y Linear Regression
  • Standardization Simplifies Linear Regression
  • Error in Linear Regression
  • Story from Linear Regression
  • Practice

Model Building +

  • Describing Histograms and Probability Distributions Functions
  • Important and Frequently Encountered PDFs
  • Linear Regression with several input Variable
  • Discussion on Over-fitting

Inferential Statistics

Hypothesis Testing

  • One and Two Group Means
  • Categorical Data
  • More Than Two Group Means

Exploratory Data Analysis

  • Quantitative Data
  • T-test
  • Correlation
  • Chi-squared Tests

Regression (Multi)

  • Linear
  • Multi

Case study and Project Work

  • Building Binary Classification Model
  • Comparison between Gain of Alternative Data and Models
  • Profitability Instead of Default
  • Modeling Default Risk and Customer Profitability

Stage II - Executive Development Programme in Machine Learning

Python Essentials -I

  • Introduction & Installation
  • Python for Data Analysis
  • Python for Data Analysis- II
  • Python for Data Analysis- III
  • Python for Data Analysis - IV

Python Essentials -II

  • Math for Data Science

Machine Learning - I

  • Algorithms
  • Supervised Learning
  • Linear Regression and Logistic Regression
  • K-Nearest Neighbor (KNN)
  • Naïve Bayes Classifier
  • Unsupervised Learning

Machine Learning - II

  • Random Forest - I
  • Random Forest - II
  • Random Forest - III
  • Support Vector Machine (SVM)- I
  • Support Vector Machine (SVM)- II
  • Support Vector Machine (SVM)- III
  • Support Vector Machine (SVM)- IV

Machine Learning - III

  • Natural Language Processing (NLP)
  • Artificial Neural Network (ANN)
  • Deep Learning - I
  • Deep Learning - II
  • Deep Learning - III
  • Project Work

Final Stage - Post Graduate Executive Certification in Data Science

Time Series Foundation-I

  • Trend & White Noise -I
  • Trend & White Noise -II
  • Auto Regressive Model -I
  • Auto Regressive Model -II

Time Series Foundation-II

  • Moving Average Model -I
  • Moving Average Model –II
  • Stationary of Time series

Tableau Essentials

  • Business case -I
  • Business case -II
  • Start, Set and Close-I

Visual Analytics

  • Visual Analytics - I
  • Visual Analytics - II

Research Methodology

  • Introduction
  • Research Types
  • Process
  • Data Collection
  • Ethics & Scientific crediting
  • Report Writing

Master's Dissertation

  • Identification
  • Report Writing
  • Publication

Program Fees

For Indian Residents

Rs. 90000 + GST*

Amount (INR)
1st instalment
On Selection
Rs. 20000 + GST*
2nd Instalment
20 January 2020
Rs. 20000 + GST*
3rd Instalment
20 February 2020
Rs. 20000 + GST*
4th instalment
10 April 2020
Rs. 15000 + GST*
5th instalment
10 May 2020
Rs. 15000 + GST*

For International Students

USD 3000

Amount (USD)
1st instalment
On Selection
USD 600
2nd Instalment
20 January 2020
USD 600
3rd Instalment
20 February 2020
USD 600
4th Instalment
10 April 2020
USD 600
5th Instalment
10 May 2020
USD 600
Kindly Note : Campus visit will be over and above of program fee.
* EMI dates may vary on a case to case basis. For more information, please refer the welcome email sent to you after the registration.
* Bank loan available

Course Certificate

Earn Certification After The Successful Completion Of The Course

MDI Murshidabad Certificate
Click to enlarge

Tools to be Used

Program faculty members

Learn from the best

Dr. Emandi Sankara Rao
Dr. Emandi Sankara Rao
MD & CEO; Chairman of IFCI Group Companies and Institutions

Dr. Emandi Sankara Rao is currently serving as MD&CEO of IFCI Ltd, a Government of India Undertaking. IFCI is the oldest Financial Institution ...

Dr. K.R.R. Gandhi
Dr. K. R. R. Gandhi
Adjunct Professor at MDI (M)

Dr. K. R. R. Gandhi is a renowned Mathematician and is a Resource person in Mathematics for Oxford University Press. His passion for Pure Mathemati...

About the institute


  • Association of Management Development Institutions in South Asia (AMDISA) confer membership to Management Development Institute Murshidabad for a period of five years effective from April 2019 to March 2024.

  • On 26th March 2019, the convocation for the PGPM 2016-18 & 2017-19 batch was held at MDI Gurgaon where the chief guest was the Hon’ble Shri K. V. Chowdary, Central Vigilance Commissioner.

  • The CoE will be a MDIM (MDI Murshidabad) driven convergence platform through which the inclusive stakeholder community (Academia, Industry, Institute) will be connected.

  • The objective of the center is to research the blend of artificial intelligence, algorithms, automation and big data/analytics to drive the business forward.

  • The CoE will be a go-to destination for Academia and Industry for technical know-how, knowledge, development of unique business models and application areas.

Management Development Institute (MDI) was set up as an autonomous body in 1973 in collaboration with KFW, West Germany, and with the active support of the Industrial Finance Corporation of India (IFCI).

One of the top Business Schools of India, MDI’s Post Graduate Program in Management (PGPM) has been awarded 'A' grade by the National Board of Accreditation of the All India Council for Technical Education (AICTE). It is the first B-School with global accreditation (AMBA), UK. Currently MDI offers a 2 year Post Graduation in Management (PGPM), Human Resources (PGPHR), and International Management (PGPIM). MDI also offers a 3 year Executive Post Graduate Program in Management, Fellow Program in Management (FPM), Executive Fellow Program in Management (EFPM) and Post Graduate Programme in Energy Management.

MDI conducts nearly 200 weeks of intensive short-term training programs each year. These programs are offered in the form of open as well as in-house activities. Many of the in-house activities deal with organization-specific training modules. Further MDI is also involved in providing a range of consultancy services in various functional areas of Management.

With an intention to impart management education, nurture local talent, and groom them to become global leaders, Management development Institute (MDI), launched its Murshidabad campus in 2014. The foundation stone was laid on the 31st of October, 2010 at Jangipur, Murshidabad, West Bengal by the then Honorable Union Minister of Finance, Govt. of India, Shri Pranab Mukherjee.

In 2014, MDI Murshidabad (MDI M) launched its Post Graduate Programme in Management (PGPM). It was commemorated in the presence of the then Honorable President of India Shri Pranab Mukherjee, by an inspiring address to our first batch of PGPM students on the 24th of August, 2014. This was followed by a deliberation made by Shri Arun Jaitley, Hon’ble Minister of Finance, Defence & Corporate Affairs, Govt. of India. PGPM offered by MDIM is recognized and accredited by the All India Council for Technical Education (AICTE), New Delhi.

Awards & Accreditations of the Institute


Start Your Application

  • I have read the details and eligibility criteria for admission to the program, that I am applying for.

  • I understand that my application shall be considered complete only when the Application fee along with required documents are received by IIM Rohtak and all mandatory fields in the application form are completed.

  • I understand that merely submitting the application form and fee, does not entitle me for the admission to the Diploma programme The admission is purely on the basis of my profile scoring, qualification and further evaluation by the Institute.


Career Assistance


Corporate Prices / Plans

No. of Nomination
2 to 5
6 to 10
11 to 20
21 and above
Contact the team


EMI Options / Plans

Rs. 90000 + 18% GST
Rs. 90000 + 18% GST
Rs. 10212 Monthly
Rs. 10212 Monthly
Rs. 10212 Monthly
Down Payment for Course is 8000 + 18% GST
Please Note
  • Processing Charges may be applicable as per bank rules.

  • 10% down payment of the course fees shall be paid to Nulearn.

  • No loan facility is available for foreign students.

  • Click here to apply by loan. (loan partner propelld)


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