PGP - Data Science and Engineering

Learn From India's Best Analytics School

PGP-Data Science and Engineering

  • Bangalore
  • Chennai
  • Hyderabad
  • Gurgaon
  • Pune
  • Mumbai
Apply Now
Application deadline 13th Dec 2018

Post graduate program by

Why Learn Data Science?

Why Join PGP-DSE?

Great Lakes PGP-DSE is a 5-month classroom program for fresh graduates and early career professionals looking to build their career in data science & analytics. Candidates from the program are able to transition 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.

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, Facutly, and Brand Value.

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.

World class faculty

You gain from the decades of experience and expertise brought to the table by Great Lakes faculty in their chosen domains. Several of Great Lakes faculty have been ranked among India’s top Data Science academicians.

Intensive bootcamp format

The program follows an intensive bootcamp format where you learn data science and machine learning from expert faculty in classroom and deepen your expertise by working on data science lab sessions. The program duration is 20 weeks including 4 weeks of capstone project.

Hands-on learning

The program covers the tools and skills sought by leading companies in Data Science. Through the duration of the program, candidates are trained on Python, SQL, Tableau, Data Science and Machine Learning. Participants in the program build their knowledge through classroom lectures by expert faculty and doing multiple challenging projects across various topics and applications in Data Science.

Placement assistance

Through the corporate network of Great Lakes, several leading companies participate in the hiring drives organised for PGP-DSE candidates. Some of the companies that have recently participated in the hiring process of PGP-DSE include: Cognizant Technology Solutions, Mahindra, Big Basket, Flipkart, Vestas, TVS, Jana Finance, Kantar, Marlabs, HSBC, etc.

Program Structure

The 5-month PGP-DSE program uses a combination of learning methods that include classroom teaching, hands-on exercises, and sessions with industry practitioners. Classes are conducted on weekdays and are assisted by online discussions and assignments.

Classroom learning

Classroom sessions by our top-ranked faculty would be conducted from Monday to Thursday starting 9:30 AM at the Great Learning center.

Lab sessions

Regular in-class lab sessions help candidates apply data science concepts to real-life scenarios under the guidance of a faculty and industry expert.

4-Week project work

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

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.

Curriculum

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

  • Introduction to programming in Python
  • SQL Programming
  • Python for Data Science ( Data Cleansing, Manipulation, and EDA)
  • Statistical Methods for Decision Making
  • Supervised Learning (Regression, CART, Naive Bayes, KNN)
  • Unsupervised Learning (Clustering, PCA, Decision Trees)
  • Ensemble techniques (Bagging and Boosting)
  • Database Management Systems (Data Querying-SQL, Joins, Indexing, Stored Procedures)
  • Data Visualisation using Tableau
  • Time Series Forecasting
  • Text Mining & Sentiment Analysis
Languages and tools
  • Python
  • Tableau
  • MySQL

Learn from the Best

Learn from leading academicians and experienced industry practitioners in the field of data science.

Placement Assistance

According to NASSCOM, there are 100,000+ job opportunities in India for Data Science and Machine Learning. There has never been a better time to learn data science and build one’s career in this industry. As a part of the placement assistance, candidates would be provided support in the following ways:

Interview preparation

Workshops on resume building and interview preparation

Career guidance

Career guidance and mentorship by Great Lakes faculty and industry leaders

Job opportunities

Access to opportunities with leading analytics companies

Several leading companies have participated in the hiring drive for PGP-DSE candidates. Participants from the program have secured roles such as Business Analyst, Machine Learning Engineer, Data Analyst, Analytics Consultant etc. Here are some of the companies that have recently participated in the PGP-DSE hiring drives:

Success Stories

PGP-DSE program has been designed to help candidates jumpstart their careers in Data Science and Machine Learning. Here is what some of our PGP-DSE candidates have to share:

Kevin Mathew

Risk Analyst
Jana Small Finance

Naga Pavan

Consultant Analyst
Kantar

Classroom Experience

Admission Details

Eligibility

  • done Applicants should have 60% or above in Xth, XIIth and Bachelor's degree.
  • done The program is open for candidates in their final semester and recent graduates with 0-3 years of experience.
  • done PGP-DSE is ideal for candidates with a graduation in a quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics, etc.

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

Admissions committee will review and shortlist.

Step 3

Aptitude test

Candidates are required to appear in an aptitude test.

Step 4

Personal interview

Personal interview with Alumni / Program Director/ Faculty for final selection.

Fee Details

3,00,000 + GST
Installments
Admission Fee-1 Created with Sketch. 25,000
Admission Fee-2 Created with Sketch. 25,000
1st Installment Created with Sketch. 83,333
2nd Installment Created with Sketch. 83,333
3rd Installment Created with Sketch. 83,334
Total Created with Sketch. 3,00,000

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Our tie-ups with several lending partners like HDFC Credila, Avanse (DHFL), MoneyTap, Credifiable, and Axis Bank ensure that money is not a constraint in the path of learning.

Batch Start Dates

Chennai

14th Jan 2019

Bangalore

21st Jan 2019

Hyderabad

18th Feb 2019

Gurgaon

17th Dec 2018

Pune

24th Dec 2018

Mumbai

7th Jan 2019

Upcoming Application Deadline

13th Dec 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

Frequently Asked Questions

The program is a full time classroom program and spans 5 months including 1 month capstone project. Classes happen Monday to Thursday from 9:30 AM to 5:30 PM.
The capstone project is an opportunity for candidates to work on industry-like data science problems under the mentorship of faculty/industry mentors. This project would bring in the all the learnings that candidates would have gained in the program and would work on problems relevant in the industry using techniques and tools mastered in the PGP-DSE program. The capstone project also becomes a way for candidates to showcase their analytics credentials and learning to their future employers.
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.

The Post Graduate Program in Data Science & Engineering is open for candidates in their final semester and recent graduates with 0-3 years of experience. Applicants should also have 60% or above in Xth, XIIth, and Bachelor's.

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).
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 meaning that the Great Lakes certificate is valued highly by leading companies in India.
PGP-DSE 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.
Please see the Program Fee Structure here. Admissions office will help you in applying for loans once you receive the offer of admission. We ensure money is not a constraint in the path of learning.
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 the Olympus - Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
The classes for Gurgaon, Chennai, Bangalore & Hyderabad will be held at the Great Lakes Learning Center in the city. The classes for Mumbai and Pune will be held at Hotel Ramada-Powai and Hotel Pride-Shivaji Nagar, respectively.
No accommodation is provided at our learning center. Outstation candidates are requested to arrange accommodation themselves.
The candidates need to bring their own laptops, the technology requirement shall be shared at the time of enrollment.
All interested candidates are required to apply for the Program through the online application form. A panel of Great Lakes faculty will do screening and shortlist candidates. The shortlisted candidates would then appear for an aptitude test followed by a personal interview. Selected candidates will receive admission offer letter.
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.
Yes, candidates do receive placement assistance in the Post Graduate Program in Data Science & Engineering. Upon successful completion of the program, candidates would be provided interview opportunities up to 3 months’ post completion of the program. We would also prepare candidates for these interviews by providing extensive support in terms of mentoring, CV review, interview preparation etc.
If you are interested in the Program, you can apply through the online application form. Please reach out to us at dse@greatlearning.in or +91 92056 80225 for any program or admission related queries.
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 (0-3 years) in India vary between 4-8 lacs.
expand_lessTop