PG Diploma in Data Science - Manipal University




  • Batch Start Date : 01 July 2017
  • Duration : 11 Months
  • Level : Advanced
  • Location : Manipal University - Banglore

This PG Diploma in Data Science by Manipal University is conducted at the Manipal Global Academy of Data Science, Bangalore. The Academys mission is to build a community of data scientists and to do cutting-edge research in data science. We are driven by best-in-class academics and data science professionals, technology, state-of-the-art infrastructure.

Talent | Technology | Transformation

Program Highlights

  • Industry-relevant course curriculum, with applications in Finance, Banking, Insurance, Marketing, and Retail domains.
  • Highly experienced faculty from Academia and the Data Science industry.
  • Enhanced learning experience through a Digital Learning platform-EduNxt.
  • State-of-the-art infrastructure, 77,000 square feet residential campus.
  • Instructor-led classroom sessions on weekdays, complemented with assignments and case studies after class.

Program Objectives

  • To equip learners with competencies that will allow them to build their careers or advance their careers in Data Science.
  • To provide industry with professionals who are first-day first-hour productive.

Learning Outcomes

On successfully completing the course, the learners will be able to:
  • Perform data analysis, modeling, predictive analysis, and story-telling through data visualization which is crucial to business decision-making.
  • Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems.
  • Apply the methods, tools and techniques by leveraging technologies such as R/Python, Excel, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark and Storm, and other open source and proprietary products as well.

Program Curriculum

PG Diploma in Data Science (Full Time) from Manipal University

Class Schedule

Term 1, 2, 3 classes are conducted over 9 months on
- Monday - Friday from 8:30 AM to 6:30 PM (and on identified Saturdays)
- Except on public holidays
Term 4 is conducted over 2 months, consisting of an Internship

For Detailed Syllabus Download Brochure :

Download Brocure

Online Application and Pre-Admission Test : Rs. 1000

Full Time Program Fee

  • INR 6,00,000 + taxes, which covers the program fee for 11 months and hostel facilities for 9 months. Hostel facilities are not provided during the internship.
  • The fee is payable in three equal instalments.
  • Loan assistance available through Axis Bank, Credila, and Avanse Financial Services.

Eligibility Criteria-PG Diploma in Data Science (Full Time)

  1. This Program admits students who are Freshers without prior work experience
  2. Working professionals can also join for the program provided they are on a sabbatical from their work for the purpose of pursuing this program.
  3. Applicants should have following minimum Academic qualifications :
    i. B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.
    OR
    Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology
    OR
    Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology 50% All through Criteria remains same
  4. Applicants will be required to attempt and pass the Online Pre-Admission Test with sections on verbal, quantitative and analytical test.
  5. If you are admitted, you will be required to attend classes (face to face) in Bangalore during weekdays (Monday-Friday). You will be required to stay at the hostel provided and you will be governed by the hostel rules and regulations laid by the hostel.

Eligibility Criteria-PG Diploma in Data Science (PART Time)

  1. Min 2 years Of Work Exp + B.Tech/B.E Graduates or M.Tech/M.E Graduates With Min 50% Marks all through (10th, 12th, Graduation) or Science Graduates From a Recognised university in Maths/Stats/Operations Research/Physics/Economics