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Post Graduate Diploma in Data Science (Full Time)- Manipal Academy of Higher Education

Become a Data Scientist with our 11 month Diploma program (9-month full time residential trianing and 2 month internship (non-residential).

  • 300+ hours
  • 260 Learners
  • Intermediate
  • 24×7 Online LMS

Program Highlights

In collaboration with Genpact & Experian
The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University.
Assured Placement Assistance
Assured placement assistance with leading organisations on successful completion of the course.
Tool Based Learning
Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm.

Who Should Attend

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

Min 50% marks or equivalent in the qualifying examination

Curriculum

  • Term 1: Programming for Data Science (Using R)
  • Term 1: Database Management Systems
  • Term 1: Statistical Techniques for Data Science
  • Term 1: Exploratory Data Analysis
  • Term 2: Machine Learning
  • Term 2: Data Visualisation
  • Term 2: Big Data Technologies
  • Term 2: Elective 1 – Principles of Finance
  • Term 2: Elective 1 – Principles of Marketing
  • Term 3: Advanced Machine Learning
  • Term 3: Advanced Big Data Technologies
  • Term 3: Elective 2 – Banking Analytics
  • Term 3: Elective 2 – Marketing Analytics
  • Term 3: Elective 3 – Unstructured Data Analytics
  • Term 3: Elective 3 – Linear Programming and Optimisation
  • Transition to Corporate – Behavioural development program (For Full-time Program participants)
  • Term 3: Project Work
    Course Fee: INR 7,43,400/- including 18% GST

Course Curriculum

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