Learn From India's Best Analytics School

PG Program - Data Science and Engineering (PGP-DSE)

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Application Deadline - 27th March 2018

Why PGP - Data Science and Engineering (Executive)


Great Lakes has been constantly ranked as the #1 Analytics school in the country.


Transition to business and functional roles in the analytics industry made easy.


Industry sessions on resume building and career workshops. Access to opportunities by industry partners.

Great Lakes Certification

PG Certification from Great Lakes - India's premier business school.

5 Top Reasons to Join PGP - Data Science and Engineering

Great Lakes PGP-DSE is a program for early career professionals looking to expedite their move to roles such as business analysts, data analysts, data engineer, analytics engineer etc. by learning relevant data science techniques, tools and technologies, and hands-on application through industry case studies.

Blended Learning Environment

The blended mode of learning (weekend classroom and online learning) ensures there is no disruption to classes as physical classroom sessions are held on alternate weekends.


You gain from the decades of experience and expertise brought to the table by Great Lakes faculty in their chosen domains. Our faculty comes from leading international and national schools such as Harvard, Stanford, Kellogg, University of Chicago, IIMs, and IITs.


Current industry knowledge and insights from industry practitioners in knowledge sharing sessions and guest lectures allow you to stay ahead in the industry.


The Program includes career development sessions on resume-building and clearing data science interviews. Interacting with industry practitioners also helps gain exposure and experience in transitioning your career to the field of data science.


Candidates get hands-on exposure to data science tools & techniques such as R, SAS, Python, Tableau, MySQL. Industry case studies aid in effective application.

A Unique Learning Experience Awaits You

The PGP-DSE uses a combination of learning methods that include classroom teaching, hands-on exercises, online learning, and sessions with industry practitioners. Classes are conducted on alternate weekends and assisted by online discussions and assignments. Candidates can access the course content online even after they have graduated.


Our program offers a blended learning environment that causes no disruption to work schedule. Classroom sessions are assisted by hands-on exercises, online learning, and assignments for continuous and cumulative learning.


Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.


All our programs have a diverse batch profile where interactions in the classrooms are not only with peers but active employees from different industries, who bring their unique experiences to the fore.

Program Structure

PGP-DSE is a 6-month weekend classroom program including classroom interactions with faculty and industry practitioners, hands-on exercises, and online learning. Classroom sessions would be conducted on alternate weekends (Saturday and Sunday) from 9:30 AM to 6:30 PM. Candidates learn conceptual techniques and foundations required for data science roles.

Program curriculum

  • Data Analytics Problem Solving
  • Business Modules in Marketing, Operations, Supply Chain and Financial Analytics
  • Creating Analytics Dashboards
  • Structured and Unstructured Data
  • Data Cleansing and Data Manipulation
  • Accessing Data Servers using MySQL
  • Data Querying - SQL, Joins, Indexing, Stored procedures,ETL Processes
  • Data Modelling - Financial Modelling, What if Analysis,Scenario Generation,Pivot tables,Excel Solver
  • Data Visualisation
  • Statistics
  • Time Series
  • Predictive Modelling techniques
  • Linear Regression
  • Logistic Regression
  • Dimensionality Reduction
  • Classification
  • Association

Tools Covered

  • R, SAS, Python, Tableau, MySQL

Career Assistance

  • Career Assistance Through Resume Workshops
  • Interview Preparation Sessions
  • Relevant Career Opportunities with Leading Companies Through Great Lakes Job Board

Learn from the Best

The faculty pool of the program consists of leading academicians in the field of data science along with several experienced industry practitioners from leading organizations.

Dr. Srabashi Basu


Dr. Sridhar Telidevara

Associate Professor, Great Lakes Institute of Mana ...

Dr. Mudit Kulshreshtha

Co-Director - Analytics Center of Excellence


Hands-On Learning from Analytics Practitioners

Participants get invaluable insights and mentorship from leading analytics practitioners and senior industry executives. Industry leaders associated with us who have contributed to lectures, projects and case studies including:

SVP, Head of Finance Analytics, Retail Bank, HSBC

Chief Executive Officer Cognizant Technology Solutions Pvt. Ltd.

Vice President, American Express

Senior Vice President & Practice Head, Bi & Analytics Hexaware Technologies

Co-Founder & Director FN Mathlogic Consulting Services Pvt Ltd

Director, Cognizant Business Consulting, Analytics

Vice President, Evalueserve

Director, Absolutdata Research & Analytics

Vice President - Deloitte

AVP - Decision Analytics At EXL

Principal Data Scientist At Accenture

Senior Applied Scientist At Microsoft

Director & Head-Analytics COE

Chief Data Scientist & Principal Consultant At Facts N Data, New Delhi

Practice Lead Data Scientist

Director - Data Science


A visual insight into the world of Great Lakes Analytics Programs

Here are a few class videos:

Understanding the Basics of Cluster Analysis
Analytics Problem solving
Learn 5 of the Hottest Analytics Techniques in Just 12 Minutes
Rise of Datafication and Its Impact

Admission Details for the PG Program - Data Science and Engineering

Following are the eligibility criteria and selection process for PGP-DSE


Applicants should have 50% or above in a bachelor's degree with less than 4 years of experience. PGP-DSE is best pursued by candidates with a graduation in a quantitative discipline like engineering, mathematics, sciences, statistics, economics, etc.

Selection Process

Interested candidates need to apply by filling a simple online application form. The Admissions committee will review all the applications and shortlisted candidates are required to attend a skype/telephonic interview with the Program Director for final selection. Some candidates post shortlisting may be required to go through selection test.

*Admissions will be closed once the requisite number of candidates have been admitted into the program.


Admission Details for the PG Program - Data Science and Engineering

Following are the payment details for the program:


  • Bangalore

Rs.1,95,000 + GST

Includes cafeteria, tuition fee, and learning materials.



Candidates can pay the program fee through Cheque, DD, Net Banking, Credit Cards or Debit Cards.*

*Great Learning does not accept cash payments and issues receipts for all fee payments made towards all our programs.

Financial aid

Selected students can contact the Admissions Office for assistance in applying for loans after receiving the offer of admission. Our lending partners include HDFC Credila, Avanse (DHFL), MoneyTap, Credifiable, and Axis Bank. We ensure money is not a constraint in the path of learning.


Mark the Dates

 Here are the Application Deadlines for the program

Upcoming Application Deadline: 27th March 2018

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So we encourage you to apply early and secure your seat. Apply Now

Batch commencement dates


31 March, 2018


Get Career Guidance from Experts

We understand that you may have queries on how this program helps you build a lucrative career in data science and analytics. We are happy to arrange a career counseling session with the program faculty or director on any weekday. Please feel free to bring your mentor, friends or parents along.

Schedule the Meeting

Please reach out to admissions office on +91-9205680225 if you wish to schedule the meeting on a weekend.


Frequently Asked Questions

Here's a list of the commonly asked questions about the program.

What is the program structure for PGP-DSE?

The PGP-DSE is offered in the blended mode of learning (weekend classroom and online learning), which ensures there is no disruption to your work schedule as physical classroom sessions are conducted on alternate weekends (Saturday and Sunday) from 9:30 AM to 6:30 PM. Classroom sessions are assisted by hands-on exercises, online learning, and assignments for continuous and cumulative learning.

What is unique about PGP-DSE?

The program is specifically designed for Early Career Professionals with 0-4 years of work experience looking to learn Data Science and transition to Analytical Roles. The courses are taught by eminent faculty from Great Lakes and senior executives from the analytics industry. The Program provides the candidates with hands-on exposure to tools such as R, SAS Python, Tableau, MySQL. The blended delivery model (classroom and online) of the Program makes it convenient for working professionals to attend classroom sessions without having to quit their jobs.

Who will be the faculty for the program?

The academic modules would be taught by senior faculty from Great Lakes. In addition to Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules. See the indicative list here.

Would I get opportunities to work on projects?

Yes. PGP-DSE is designed in a manner that you get to work on a number of hands-on projects. The only way to get good at Data Science & Analytics is by doing more of it. The projects that you get to do in the program make you industry ready by working on problems that are industry relevant and implementing techniques that are most sought after.

Where will the classes be held?

The classes will be held at Great Lakes learning center in Bangalore which is located at HSR Layout. See it on Google Map.

Is accommodation also provided?

No accommodation is provided at our learning centers. Outstation candidates are requested to arrange accommodation themselves.

How will I be evaluated during the Program?

PGP-DSE is a holistic and rigorous Program and follows a continuous evaluation scheme. Candidates are evaluated in the courses through case studies, quizzes, assignments or project reports.

Would I have to spend extra on books, online learning material or license fee?

All the requisite learning material is provided online to candidates through the Olympus - Learning Management System. Candidates are free to purchase any additional reference books or material as may be recommended by the faculty.

Do candidates need to bring their own laptop?

The candidates need to bring their own laptops, the technology requirement shall be shared at the time of enrollment.

Would the content be available to me after completion of the course?

We believe that learning should continue and hence, all the learning material in terms of lectures and reading content would be available to the candidates up to one-year post completion of Program.

Is PGP-DSE accredited by UGC or AICTE?

The format of the Program does not lend itself to accreditation from AICTE/UGC. However, Great Lakes is an AICTE accredited institution and is one of the few colleges in India to receive accreditation from AMBA (Association of MBAs, UK).

What certificate will be awarded by Great Lakes?

Successful participants will be awarded a PG Program in Data Science and Engineering certificate by Great Lakes Institute of Management. Great Lakes has consistently been ranked among top business schools in the country for its Data Science, Analytics and MBA programs. Great Lakes has been ranked among top 10 in recruiter’s perception (by Outlook, 2017) meaning that the Great Lakes certificate is valued highly by leading companies in India.

What is the eligibility criterion for this Program?

The Post Graduate Program in Data Science & Engineering is open for graduate candidates with 0-4 years of experience

Applicants should have 50% or above in Xth, XIIth, and Bachelor's degree

What is the admission process?

All interested candidates are required to apply to the Program through the online application form. A panel of Great Lakes faculty will do a screening and shortlist candidates. The shortlisted candidates would then appear for a telephonic interview with the faculty. Selected candidates will receive admission offer letter.

What is the program fee? Is there any financial aid provided?

Please see the Program Fee Structure here. Admissions office will help you in applying for loans once you receive the offer of admission. Our lending partners include HDFC Credila, Avanse (DHFL), MoneyTap, Credifiable, and Axis Bank. We ensure money is not a constraint in the path of learning.

What is the refund policy for the program?

We advise all candidates to have complete information before enrolling in the program. No refund requests will be accepted once the fee has been paid. However, there is a deferment policy where a candidate can choose to defer his enrollment to a future batch.

What are the typical salary levels in Data Science roles?

Careers in analytics and data science are amongst the highest paid in the industry. Furthermore, the career growth that one can expect in these roles is far superior to other roles. With leading Indian and Global companies looking to ramp up their analytics hiring, this is the best time to build a career in analytics and data science. Salaries for these roles while being higher than other comparable roles are subjective and depend on the quality of candidate and the recruiting company. As per analytics salary studies, average salaries for fresher roles in analytics (0-2 years) vary between 5-7 lacs and (2-4 years) vary between 8-12 lacs.

How can I apply for the Program?

If you are interested in the Program, you can apply through the online application form. If you need assistance from our team, write to us at dse@greatlearning.in or call us at 92056-80225 and we shall guide you through the process.

What are the career support activities provided?

The career support activities at Great Lakes PGP-DSE begin with helping candidates prepare for analytics careers through sessions conducted by industry experts on careers in analytics and resume building. We also provide our candidates and alumni with access to any opportunities that analytics companies share with us. There are several examples wherein our alums have capitalized these opportunities to move to new roles or companies in analytics.

Need More Information? Download PGP - Data Science and Engineering (Executive) course e Brochure for complete information.