Become a Data Science Professional at ZERO Upfront cost

Data Science Fellows Program

For students & alumni from select institutes. Apply now to check your eligibility

  • 7 months | Online Content + Online Mentored Learning
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  • Great Lakes Logo

Kickstart your Data Science career with India’s Best Analytics School!

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Zero Upfront fees through “PAY Later” option

6 - 20 LPA

Earn top salaries from leading companies


Companies hire our students

Select Hiring Partners

Why Join our Data Science Fellows Program?

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Pay only once hired

Get your dream career transition into Data Science through hiring drives organized with our hiring partners. You get to pay the course fees only post securing a job with the minimum guaranteed CTC.

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Ranked #1 in analytics education

Great Lakes’ program has been ranked #1 in India for 4 years in a row and has an average rating of 4.8/5 across parameters like Course Content, Pedagogy, Faculty, and Brand Value.

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Top Ranked faculty

Great Lakes faculty have been ranked amongst India’s top 10 Data Science and Machine Learning faculty.

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PG Certificate from Great Lakes

Great Lakes is one of India’s top 10 business schools, the youngest institute in India to receive an AMBA, UK accreditation, and a leader in analytics education.

Program Structure

The 7-month Data Science Fellows Program uses a combination of learning methods that include teaching through online recordings, online Mentorship Sessions, TA Sessions, virtual labs, and mentorship-driven Capstone Project. LIVE Mentorship sessions and Labs are conducted during the week and are assisted by online discussions and assignments.

Great Learning program structure-3

Online Live Mentored Learning

Live Online Mentorship sessions will be conducted by our top-ranked faculty and industry experts every weekend. Pedagogy will be case-based followed by top B-schools.

Great Learning lab sessions

Virtual Lab sessions

Virtual lab sessions help candidates apply data science concepts to real-life scenarios under the guidance of top faculty and industry experts.

Great Learning Personal Mentorship

Personal Mentorship

Get personal guidance through periodic mentorship sessions by Industry mentors from leading companies to help shape your learnings and career.

Great Learning program structure-2

Capstone Project

Candidates work on an application-oriented industry project where they are mentored and evaluated by Great Lakes faculty and industry experts.

Admission Details

Find below the roadmap for your career in Data Science


  • done Students/Alumni from a select list of colleges. Apply Now to check your eligibility.
  • done Candidates who have graduated during the years 2017, 2018 or 2019 with more than 50% from the select list of colleges.
  • done Students currently pursuing their final year of graduation(2020).
Grear Learning admission and selection process

Selection Process

Step 1

Fill application form

Step 2

Online Admissions Challenge

Take the online admissions challenge which evaluates you on your basic aptitude and logical reasoning skills.

Step 3

Attend the “DS Foundation Track”

Shortlisted candidates are invited for a 3-week “DS Foundation Track” where they go through fundamentals and foundations of Data Science.

Step 4

Program Starts

Based on the performance during the DS Foundation Track, selected candidates would be offered an admission into the program.

Placement Assistance

Why we have to learn cyber security at Great Learning
Great Learning Data Science Engineering placements in leading companies Great Learning Data Science Engineering placements in leading companies

The program offers a Placement Readiness Evaluation to help students prepare for interviews. Candidates who clear the evaluation will be eligible for the placement process. Our learners have secured roles like Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Consultants, etc.

Building Rewarding Careers in Data Science

Success Stories

Our programs are designed to help candidates jumpstart their careers in Data Science and Machine Learning. Here is what some of our alumni have to share:

Industry Tested Curriculum

Our corporate partners are deeply involved in curriculum design ensuring that it meets the current industry requirements for data science professionals.

  • Syntax and Semantics of Python programming
  • Conditional statements
  • Loops
  • Iterators
  • User-defined functions
  • NumPy
  • Pandas
  • Pandas
  • Summary statistics (mean, median, mode, variance, standard deviation)
  • Seaborne
  • matplotlib
  • Probability distribution
  • Normal distribution
  • Poisson's distribution
  • Bayes’ theorem
  • Central limit theorem
  • Hypothesis testing
  • One Sample T-Test
  • Anova and Chi-Square
  • Introduction to DBMS
  • ER diagram
  • Schema design
  • Key constraints and basics of normalization
  • Joins
  • Subqueries involving joins and aggregations
  • Sorting
  • Independent subqueries
  • Correlated subqueries
  • Analytic functions
  • Set operations
  • Grouping and filtering
Machine Learning Techniques
  • Multiple linear regression
  • Fitted regression lines
  • AIC, BIC, Model Fitting, Training and Test Data
  • Introduction to Logistic regression, interpretation, odds ratio
  • Misclassification, Probability, AUC, R-Square
  • CART
  • KNN (classifier, distance metrics, KNN regression)
  • Decision Trees (hyper parameter, depth, number of leaves)
  • Naive Bayes
  • Clustering - K-Means & Hierarchical
  • Distance methods - Euclidean, Manhattan, Cosine, Mahalanobis
  • Features of a Cluster - Labels, Centroids, Inertia
  • Eigen vectors and Eigen values
  • Principal component analysis
  • Bagging & Boosting
  • Random Forest
  • AdaBoost & Gradient boosting
  • Hackathon
  • Trend and seasonality
  • Decomposition
  • Smoothing (moving average)
  • SES, Holt & Holt-Winter Model
  • AR, Lag Series, ACF, PACF
  • ADF, Random walk and Auto Arima

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Data Science.

Great Learning academics eportfolio of Data Scinece Engineering alumnus

Faculty & Advisors

Learn from leading academicians and experienced industry practitioners in the field of data science. Find below a list of some of our expert faculty

Fee Details

Great Learning rupee icon 3,85,000 including GST

Fee Includes

Great Learning tution fee

Tuition Fee

Great Learning material

Learning Material

Great Learning lab access


Payment Plans

Select candidates would be offered enrollment into the program through one of the two payment plans below

Pay Now

  • Standard Tuition fee model.
  • Secure your admission into the program by paying an admissions fee of INR 25,000
  • No-Cost EMI options available through our banking partners

Pay Later

  • Secure admission by paying a caution deposit of INR 25,000
  • Pay us 15% of CTC or INR 10,000 (whichever is maximum) EMI for a maximum duration of 3 years if you get a job paying more than the Minimum Guaranteed CTC
  • Maximum payout capped at INR 3,85,000 (incl. GST)

Advantages of Pay Later


As EMI from your monthly salary*


Maximum EMI payments


Minimum Guaranteed CTC


% interest on tuition fees

*You need to pay 15% of CTC monthly or INR 10,000, whichever is the maximum

Upcoming Application Deadline


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

Frequently Asked Questions

This is a 7-month program offered online with online recorded content, live online mentorship sessions, TA sessions and virtual labs on weekends.
This program is exclusive for learners from select institutions who have graduated during the years 2017, 2018 or 2019 with more than 50% or Students currently pursuing their final year of graduation (by 2020). To check your eligibility for the program, Apply Now
The academic modules would be taught by senior faculty from Great Lakes Institute of Management. In addition to Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.

Successful participants will be awarded a PG Program in Data Science and Engineering certificate by Great Lakes Executive Learning. 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 meaning that the Great Lakes certificate is valued highly by leading companies in India.

Data Science Fellows Program is a holistic and rigorous Program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
We believe that learning should continue and hence, access to Learning Management System (Olympus) which houses the learning material would be available to the candidates up to one year post completion of the program.
All the requisite learning material is provided online to candidates through Olympus - the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
If you are interested in the program, you can apply through the online application form. Please reach out to us at or +91 9513731369 for any program or admission related queries.

The test is conducted to ensure that we select only those candidates who are serious and committed towards a career in Data Science.

In order to facilitate your preparation for the admissions test/challenge, we have provided FREE Learning material which will help you give your best for the admissions test. Click here to access the prep content.

The admissions test focuses on the below mentioned topics
  • Maths & Algebra
  • Probability & Set theory
  • Basic Statistics
  • Logical thinking & Data Interpretation
  • Basic Programming concepts (Conditionals, if-else, etc.)
The Foundation Track is a 3 week learning intervention where our prospect learners go through the fundamentals and foundations of Data Science. The Foundation track serves the following purposes
  • Learn the foundations of Data Science
  • Experience our Program
  • Demonstrate your aptitude and motivation for the program
Select candidates will be offered admission into the program based on their performance during the DS Foundation track
No, the Foundation Track is a FREE learning program for candidates shortlisted based on their performance in the admissions test.
No. Every batch has a unique admissions process and an offer of admission is limited to the specific batch only
Yes, Upon successfully clearing the placement readiness evaluation by Great Learning, candidates will be provided interview opportunities up to 6 months’ post completion of the program. We also prepare candidates for these interviews by providing extensive support in terms of mentoring, CV review, interview preparation etc.

With more than 4000 career transitions in the Analytics & Data Science space, Great Learning is the undisputed leader in Data Science education and our placement statistics stand testament to the same. Some of our leading hiring partners include Swiggy, Uber, Fractal Analytics, Mu Sigma, KPMG, OYO etc.

Also find our placement report for Data Science programs here.

Yes. We strongly believe our training efforts during the program will help you in cracking interviews and companies on your own as well and hence you are liable to adhere to the terms of the agreement even if you get a job on your own during the program.

Yes, there is an admission fee/caution deposit of INR 25,000 for confirming your seriousness and commitment to the program once selected. We do this as there are limited spots in the program and we need to ensure only the serious and committed individuals like you join the program.

The admission fee/registration fee of INR 25000 will be adjusted with your program fee payments irrespective of the payment mode chosen either "Pay Now" or "Pay Later" model.

Upon completion of the 3 week DS Foundation Track phase, selected students are offered admission into the program . The selected students are offered one of the two payment modes as mentioned below to continue the program.
  • Pay Now: Pay a fixed fee of INR 3,85,000 (inclusive GST). This is a standard tuition fee model where we can help you with zero cost EMI loans with our partner Banks and financial providers.
  • Pay Later: Upon successful receiving an employment offer post completion of the program, pay Rs 10,000 as monthly EMI from your salary for a period of 3 years (Cost To Company) with the maximum payout capped at 3,85,000.

Pay Later option, modeled on an Income Sharing Agreement, is an innovative education financing model where we invest in your future to jointly achieve your career outcome / success. Upon successful completion of the program and receiving a successful employment at one of the companies, we would be charging 10,000 from your monthly gross CTC as a monthly EMI to reimburse our efforts and investments made on your learning.

The agreement is valid for a duration of 4 years with a maximum of 36 monthly EMI's starting once you join a company post completion of the program. Find below few possible scenarios based on the salary. In any of the scenarios described below, you would not be paying more than INR 3,85,000.

Scenario 1 Scenario 2 Scenario 3 Scenario 4
Yearly Salary CTC 500,000 600,000 800,000 1,500,000
Months 36 36 36 36
Monthly EMI - 10,000 10,000 10,000
Total EMI Payment (A) - 360,000 360,000 360,000
Registration fee (B) - 25,000 25,000 25,000
Total Course Fee (A+B) - 385,000 385,000 385,000

If you've enrolled using a "Pay Later" option, and you decide to drop out before completion of 1 month of the program, your registration fee of INR 25,000 will be utilized from our end to cover the investment made on you till date.

If you decide to drop out post completion of 1 month of the program, you are still bound by the terms of the agreememt.

If you do not get a job post successful completion of the program, you need not pay us anything as per the agreement terms.
As per the terms of the agreement, you need to furnish your Income Tax return documents, Bank Statements, Salary slips and other relevant proofs to Great Learning in order to evaluate and finalize your monthly payout to Great Learning.
No. The monthly payout to Great Learning will remain the same.

Yes. You can pay the outstanding fees amount from the amount paid till date to close the agreement early. For example, you have made 10 monthly payments of 10000 each totaling to INR 1,00,000 and wish to close the agreement early, you can pay the remaining amount of 2,60,000 (i.e. 3,60,000 - 1,00,000) in a single transaction.

You also have the flexibility to pay a higher EMI and reduce the number of EMIs till the total amount of INR 3,60,000 is paid.