Post Graduate Program in Data Science
Domain specializations in
| Business & E-commerce | Banking & Finance | Retail | Power & Energy

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About the Program

The Post Graduate Program in Data Science from GISMA and UPES, provides a cutting-edge curriculum with an emphasis on the tools and techniques used for handling, managing, analyzing and interpreting data. It’s a 10-month PG Program for professionals who wish to move to Data Science as a career option. The program focuses on predictive modelling, Tableau and Machine Learning techniques on SQL, R & Python.

Program Overview

Key Highlights

International Certification from GISMA

100% Placement Assistance post certification

Learn SQL, Tableau, R, Python, Business Analytics and Machine Learning

Real-life data sets and industry specialized case studies to get practical insights.

Real-world projects guided by expert mentors

Career essential soft-skill program

Exclusive Master Classes

Specialize in a domain of your choice

Detailed Curriculum

Best-in-class content by highly experienced faculty and eminent industry leaders. Live online classes, case-studies, projects, and assignments.

  • Introduction to Business Analytics
  • Fundamentals of R
  • Data Visualization in R
  • Data Preparation and cleaning using R
  • Understanding the data using univariate statistics in R
  • Hypothesis testing and ANOVA in R to guide decision making
  • Correlation and Linear regression
  • Logistic regression
  • Techniques of customer segmentation
  • Time series forecasting techniques
  • Decision trees & Random Forests
  • Boosting Machines
  • Cross Validation & Parameter Tuning
  • Final Case Study
  • Introduction to Machine Learning in Python
  • Introduction to Python
  • Iterative Operations & Functions in Python
  • Data Summary; Numerical and Visual in Python
  • Data Handling in Python using NumPy & Pandas
  • Mathematical Concepts for Machine Learning
  • Generalised Linear Models in Python
  • Tree Models using Python
  • Boosting Algorithms using Python
  • Support Vector Machines (SVM), Naïve Bayes and KNN in Python
  • Unsupervised learning in Python
  • Neural Networks
  • Text Mining in Python
  • Ensemble Methods in Machine Learning
  • Introduction to SQL
  • SQL Data Types & Operators
  • Useful Operations in SQL
  • Aggregating Data in SQL
  • Writing Sub-Queries in SQL
  • Common function in SQL
  • Analytic Functions in SQL
  • Writing DML Statements
  • Analytic Functions in SQL
  • Writing DML Statements
  • Writing DDL Statements
  • Using Constraints in SQL
  • SQL Joins
  • Views in SQL
  • Banking-Finance
  • E-Commerce
  • Power
  • Logistics & Supply Chain
  • Aviation
Programming Languages and Tools Covered
Dr. Kingshuk Srivastava
Dr. Kingshuk Srivastava
Assistant Professor
School of Computer Science
Assistant Professor in the School of Computer Science Engineering in UPES and has 10 years of teaching experience. His field of research is in AI, Data Science and MySQL databases. He has conducted multiple workshops on AI and Machine Learning as well as Big Data. He is also the founding member of CredFic Technologies and worked for Product Design and Development in Artificial Intelligence.
Mr. Lalit Sachan
Co-Founder & Head, Edvancer
IIT, Delhi
Lalit has over 10 years of experience in Data Science & AI. He has worked as a data scientist handling end to end data science projects in organizations like Global Analytics and Shopveg. Lalit is a corporate trainer in data science and AI for top companies like EY, PwC, Deloitte, GE, HDFC Bank etc.
Mr. Naveen Kumar
Mr. Naveen Kumar
ISI, Kolkata
Naveen has 10+ years of experience in Machine Learning and Predictive Modeling. He has completed his M.S in Quantitative Economics from Indian Statistical Institute (ISI). Currently, he works as a Data Science Manager in the Advance Analytics group at Bain and Company. He has also helped set up data science practices for multiple companies in the past. Naveen is an expert on Python and machine learning and has extensive work experience in Banking, Retail and Risk domains.

Skills you will learn

Probability & Statistics, Predictive Analytics, Data Visualization, Machine Learning, Data Handling


Career Prospects

Machine Learning Engineer, Data Scientist, Machine Learning Scientist, Data Architect, Infrastructure Architect, Data Engineer, Applications Architect, Data Analyst, Enterprise Architect.


Who Is This Program For?

Fresh graduates or professionals with 2-3 years of relevant experience or from other domains of IT who wish to move into Analytics career.


Minimum Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.

Our learners work at

Top companies from all around the world have recruited Edology alumni

Post Graduate Program in Data Science

After completing the course, you will get a Post Graduate Certificate from GISMA & UPES

  • GISMA has been ranked top 20th in the World by the Economist.
  • UPES is amongst the Top 100 ranked university in NIRF 2022 ranking
  • UPES stands at 41st rank in the Management category of NIRF 2022 ranking
  • UPES has been awarded with QS 5 Stars rating for Academic Development
Our industry project


Identify fraudulent transactions for a credit card providing company to create an early warning system to prevent fraudulence in real time.


Create a Machine Learning system which will automatically pick out customer complaints most likely to be unresolved and escalate them.

Data Visualization for Retail

Create a dashboard for the management of a large retailer company based on sales and inventory data.


Create a model to cross-sell a new car insurance policy to existing policy holders.


Predict employee attrition for an IT company


Predict inventory requirements of spare-parts for a large engineering co.


Predict the sales volume of counterfeit medicines to guide law enforcement agencies in cracking down on top counterfeiters

Real Estate

Predict housing prices in a certain city to help a realty tech company close negotiation early


Identify locations where a retail giant’s new stores should be opened and will do well.

Admission Process

Please find below the detailed steps of the Admission Process

Fill the application form

Apply by filling a simple online application form.

Get shortlisted and receive the offer letter

Based on their professional experience and academic scores, candidates will be shortlisted.

Confirm your seat

An offer letter will be rolled out to the selected candidates. Pay the program fees and secure your seat for the program.

Post Graduate Program in Data Science
  • Global Certification & Alumni Status from GISMA
  • Guaranteed Job Opportunities & Assured Salary Hike
  • Get Dual Certification from GISMA and UPES
Live Online
INR 1,65,900 + GST
No cost EMI options available
Apply Now
Self Paced
INR 1,19000 + GST
No cost EMI options available
Post Graduate Program in Data Science
  • Certification from UPES (NAAC “A” Grade University)
  • Career Services Support
  • UPES Alumni Status
Live Online
INR 1,19,900 + GST
No cost EMI options available
Self Paced
INR 79,000 + GST
No cost EMI options available

Over 2000 Careers Transformed


Career Transitions

27 LPA

Highest Salary


Hiring Partners

Career Support

Get Industry ready with Dedicated our Career Support

Career Couselling
Resume Feedback
Interview Preparation
Placement Assistance

Frequently asked questions

Why should I study PGP in Data Science?

Not just one but numerous reasons make data science stand as one of the best career choices. The demand and growth of this industry are the biggest reasons to pursue a career in Data Science. Besides, the pay scale offered in this sector is driving the learners to choose this sector as their career options. This domain offers one of the highest-paid job roles in the country. As data science is steadily increasing its impact on diverse fields, it is also suspected to replace many existing job roles. Hence, Data Science stands as one of the most secured career choices.

What is the minimum eligibility criteria for the program?

BE / B.Tech / BCA / MCA / B.Sc. (Maths) / M.Sc (Maths) with a minimum of 50% aggregate marks is required to register for this program. It would be an added advantage for learners with minimum 2 years of work experience.

Meritorious fresher students / young professionals above 65% marks in their UG degree are also eligible. The work experience is relaxed basis on application and profile. Learners should have basic knowledge of computer programming.

What is the time commitment for the program?

A time commitment of 6 to 8 hours per week on an average is recommended to complete the program successfully.

Will I receive career assistance and support after the program completion?

Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and mentoring by industry experts and provide job assistance at the end of the program.

Do I get to interact with Industry Experts during the program?

Yes, there will be live online interactive sessions with faculty and industry experts.

Is there any financial support provided for the program?

To ensure no barrier in the path of your learning, we offer financing options with our partner company Financepeer to help you make this Data Science program more financially manageable

What certification will I get after the course?

Upon successful completion of the program, you will be awarded with industry-recognized Post Graduate Degree in Data Science by the following institutions – GISMA Business School, Germany and University of UPES CCE, Dehradun.