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PG Diploma in Data Science (Full-time)

PG Diploma in Data Science (Full-time)

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Course Highlights

  • 40 Modules & Sub-modules

  • Stipend based internship in Term 3 for full-time students

  • Assured placement assistance with leading organisations

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Duration: 335 Days

Mode of learning: Classroom

Course Overview

What is this course about
  • PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. It is a fully-residential program based in Bangalore.

  • Course Benefits:

  • Become A Data-Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine-Learning and Big-Data.

  • Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm.

  • Assured Placement Assistance
    Assured placement assistance with leading organisations on successful completion of the course.

  • Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University.

  • Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.

What are the course deliverables ?
  • Face to Face Classes in Bangalore during weekdays (Monday - Friday)

  • Comprehensive curriculum: Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts from academia, IT and Data Science industry.

  • Instructor led learning: Instructor-led classroom sessions on weekdays, complemented with assignments and case studies during after-class hours.

  • Industry electives: Electives offered in topics on Analytics in Banking/Financial, or Retail/Operations Management. Stipend based internship in Term 4 for full-time students.

  • Bridge Course (1 Month) - Primer on data analysis & programming to bring non-technical & non-IT students upto speed with data science concepts.

  • 1. Term 1 (3.5 Months) - FOUNDATION OF DATA SCIENCE - Programming for Data Science, Database Management Systems, Statistical Techniques for Data Science, Exploratory Data Analysis

  • Term 2 (3.5 Months) - BASICS OF MACHINE LEARNING & BIG DATA - Machine Learning, Data-Visualization, Big Data Technologies, Elective on Principles of Finance / Marketing

  • Term 3 (4 Months) ADVANCED DOMAIN & INDUSTRY APPLICATIONS - Machine Learning & Big Data Technologies, Banking/Marketing Analytics, Unstructured Data Analysis/Linear programming & Optimization. Term 3 also includes a paid Internship for full-time students

Who should do this course ?
  • Freshers without prior experience

  • Working professionals can also join the program

  • B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.

  • Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology

  • Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology

  • Min 50% marks or equivalent in the qualifying examinations.

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Curriculum

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