At MIT-WPU, we aim to create data experts with the skills and knowledge required in today's evolving industry. With our programme, you can learn the core concepts of Data Warehousing and Mining, Machine Learning, and Artificial Intelligence. Join our community, gain the skills to work with the best in the industry!

KEY INFORMATION

Course Duration

24 Months

Course Initiation

July 2019

Last Date to apply

May 2019

M.SC BIG DATA ANALYTICS

MIT-WPU’s Master of Science Big Data Analytics is a two years full-time programme. This course has been designed to impart students with the latest skills and knowledge required not only to store, manage and process the data but also to make profitable business decisions.

Here, our well-experienced faculty will teach you how data is studied and dissected for finding inferences, consumer behaviours, trends and developments in the societal sphere. During this two-year programme, you will be familiarized with tools and technologies such as Data-Mining, Python, Hadoop, Data architecture and Distributed Computing. After pursuing this post-graduation programme in Big Data Analytics from MIT-WPU, you can work as a Business consultant, Big Data Engineer, Analyst & Solution architect. We also have tie-ups with some of the best companies in the industry such as Veritas, Deloitte, Infosys, Vodafone, Symantec, Barclays are few recruiters. Enrol for our programme to become a Data Expert and work for the best in the industry!

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Placements & Recruiters

Career
Statistics @ MITWPU

100% placement assistance for all previous batches

Highest Package
8 LPA

Average Package
4.5 LPA

Some of Our Recruiters

Programme Structure

Trimester I

  • Data Warehousing & Data Mining
  • Parallel And Distributed Computing
  • Big Data Architecture & Ecosystem - Hadoop
  • Basics of Statistics
  • Lab on Python
  • Lab on Hadoop
  • World famous philosophers, Sages / Saints and Great Kings

Trimester II

  • Mathematics for Machine Learning
  • Statistics & Optimization for Machine Learning
  • Lab on Statistical Computing (Python, R Programming)
  • Lab on Hadoop (Data Processing /Analytics): MR Programming
  • Lab on Data Ingestion & Storage
  • Professional Elective - I

Trimester III

  • High Performance Computing
  • Machine Learning Algorithm - I
  • Lab on Apache Spark & Scala
  • Lab on Machine Learning Algorithms- I
  • Mini Project (Hadoop)
  • Professional Elective - II
  • Study of Languages Peace in Communication & Human Dynamics

Note : To know more about programme structure download brochure.

Fees & Scholarships

Scholarships for the 2019 intake are now open. To be considered you must submit a scholarship application in addition to a fully completed M.Sc Data Analytics application. Scholarships are for 25% of the fees and are awarded to exceptional candidates who demonstrate the passion and drive to lead and make a positive impact in today‘s diverse business environment. Recipients are expected to act as Cass Ambassadors committed to developing the ongoing success or the M.Sc Data Analytics Programme working closely with Marketing, Careers, Course omce, Alumni and the Recruitment and Admissions Teams

To Know More About Fee Structure      Contact Us   

Admissions Guide

MIT-WPU follows UGC-specified eligibility norms while reviewing students’ admission applications.To be eligible for admission to any of our M.SC Big Data Analytics programmes, candidates are required to meet the following criteria :

  • B.Sc (CS) / BCS / BCA / B.Sc (IT) / BE-IT/ Any BE /B.Tech with 50% of Marks (45% marks for reserve category students belonging to Maharashtra State)
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