Great Learning Institute Gurgaon PG Program Data Science: Fees 2026, Course Duration, Dates, Eligibility

Gurgaon, HaryanaEstd 2013
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Collegedunia Team

Content Curator | Updated 3+ months ago

Great Learning Institute Gurgaon PG Program Data Science is offered as 5 Months Full Time program. The minimum eligibility criteria for PG Program is Graduation. The total fees for Great Learning Institute Gurgaon PG Program Data Science in 2025 is ₹ 3.15 Lakhs for the complete course duration.

Great Learning Institute Gurgaon PG Program Data Science Fees 2025

Fees (2025 - 2026) Total Fees
Total Fees (2025 - 2026) ₹3.15 Lakhs

* Fees is refundable

Great Learning Institute Gurgaon PG Program Data Science Previous Fees

Fees Total Fees
Total Fees ₹3.5 Lakhs

* Fees is refundable

Great Learning Institute Gurgaon PG Program Data Science Admission 2025

The minimum eligibility for admission to PG Program Data Science at Great Learning Institute Gurgaon is Graduation.

You can check Great Learning Institute Gurgaon PG Program Data Science admission dates 2025 in the section below.

Great Learning Institute Gurgaon Admission Dates 2025

Events Dates
Fee Submission for Phase 1 Haryana Admission [PG Diploma in Science] Aug 01, 2025 - Aug 04, 2025
Physical Counselling for Phase 2 Haryana Admission [PG Diploma in Science] Aug 05, 2025
Admission Timeline [PG Diploma in Science] Jul 16, 2025 - Aug 06, 2025
Re-opening of Registration & Editing for Phase 2 Haryana Admission [PG Diploma in Science] Aug 06, 2025
Physical Counselling for Phase 2 Haryana Admission [PG Diploma in Science] Aug 06, 2025 - Aug 12, 2025
Physical Counselling with Late fee for Phase 2 Haryana Admission [PG Diploma in Science] Aug 13, 2025 - Aug 19, 2025

Also Check:

Course HighlightsDetails
duration5 Months (Full Time)
course levelPG Diploma (Certification)
mode of studyOn Campus
total fees₹ 3.15 Lakhs
eligibilityGraduation
13 Views Last Year
2 Studentsshown interest in the last 30 days

Great Learning Institute Gurgaon PG Program Data Science Fees

Quota:
Fee TypeTotal Amount (INR)
total fee₹3.15 Lakhs
* Fees is refundable

Important Dates for PG Program Data Science at Great Learning Institute Gurgaon

Important Events

EventsDates
Admission Timeline [PG Diploma] (Science)
Jul 16, 2026 - Aug 06, 2026
Tentative

Important Events

EventsDates
Admission Timeline [PG Diploma] (Science)
Jul 16, 2026 - Aug 06, 2026
Tentative

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Great Learning Institute Gurgaon: Students' Opinion

AI-Generated Summary based on 8 Reviews

Great Learning Academy offers programs in Data Science, Big Data, Machine Learning, and Cloud Computing. Admission requires a minimum graduation score of 50%, an online application, submission of academic documents, and a telephonic interview. A screening test on aptitude and reasoning precedes a personal interview to assess candidates' backgrounds and motivations. The course spans five months, with an application fee and potential scholarships based on screening results. Faculty members are experienced scholars with PhDs and over a decade of industry experience, providing both theoretical and practical learning.

The curriculum includes 9 modules, each with internal and external exams, totaling 18 exams, and teaching assistants help students succeed. The data science program fee is approximately Rs. 3,50,000, payable via credit card, cheque, DD, or net banking, with no cash accepted. Additional costs like transportation and accommodation are not included, but scholarships and loans can reduce fees to around Rs. 3,00,000. The program offers robust placement support with packages ranging from INR 4 LPA to 15 LPA, averaging between INR 6-8 LPA.

Recruiters include top companies like IBM, Cognizant, Google, and Microsoft. Despite being a certificate course without formal placements, students achieved full placements with an average package of INR 8 LPA. Roles secured include Software Engineer, Data Analyst, and Data Scientist. The college offers a Rs. 50,000 scholarship and multiple loan facilities, with interest rates between 6% and 10%. Fees can be paid in installments, and loans are available for those needing financial assistance.

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Great Learning Institute Gurgaon PG Program Data Science Admission Process

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Great Learning Institute Gurgaon: 1 Answered Question

Which one is good for Data Science courses, Great Learning from Great Lakes Institute or UpGrad that is associated with IIIT - Bangalore?

Sabeer Chalana
Pratik ParikhLives in Bangalore

Both Great Lakes and UpGrad are good platforms to learn Data Science courses. Here are some details about both the options to help you choose better-

Data Science with Great Learning from Great Lakes Institute-

  1. The course curriculum is regularly updated to match changing industry standards.
  2. Your course instructors will be industry experts.
  3. Video lectures are provided in real time. This will allow you to connect with your teachers and peers, which will in turn enhance your understanding of concepts. 
  4. You’ll be asked to apply your learning to a capstone project that will address real world industry issues. For this, you’ll be using the tools and methods that were presented in the teaching sessions.
  5. You’ll get complete placement assistance in the form of resume creation, mock interviews, hackathons and job fairs.

Data Science with UpGrad & IIIT Bangalore -

  1. The diplomas and MSc. degrees are specially designed for working professionals. You’ll receive online lectures, and the schedule will in no way hinder your professional commitments.
  2. You’ll get 400 hours of material and 20 industrial initiatives. 
  3. The course projects are good. You’ll be expected to apply your learnings from the course to these projects.
  4. A complimentary Python Bootcamp will allow you to showcase your programming knowledge acquired from this course. 
  5. You’ll get necessary career advice and interview training help. 
  6. You will get the chance to apply for jobs at 300+ businesses connected with Upgrad.

These are some highlights of the Data Science courses offered by both these platforms. You can choose either of them according to your preference.

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