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Data Science & Analytics

With data being recognized as the new oil for organization, the specialization in Data Science aims at equipping the students with the courses that will help them make sense of the data and apply various communications, statistics, human behavioral and cognitive models along with information technology and analytical tools in functional areas or domains of their liking.

The insights gained will help take current or progressive decisions and help manage the technical and non-technical skills.

Marketing (Major-Minor)
Pedagogy
Differentiators
Career Opportunities
Important Courses

Pedagogy

The pedagogy besides classroom lecture sessions will include a blend of practical and business cases for the students to work on. The hands-on practical sessions will help students use technology to solve business problems. Also, the workshops, Hackathon, Simulation will be an integral part of the curriculum delivery to bring in the latest trends in the technology for the business.

 

Differentiators

The relevance of Data Science in all the domains of Business is increasing and the organizations are looking for ready-on-job professionals with ability to interpret and provide insights to the exceptions that require urgent attention and effective solutions.

The programme course structure is designed to cater not only the current needs of the industry but also keeps in mind future-requirements. Courses such as Artificial Intelligence, Machine-Learning, Internet of Things, ‘R’ Analytics, Python Programming, domain-oriented and sectoral-specific analytic courses are included keeping in mind the influence that these technologies would have on the way business in future is going to be conducted.

Career Opportunities

The program is designed for working executives to go ahead in their career. It offers career opportunities in the following areas
  • Data Modeler
  • Machine Leaning Engineers
  • Risk Analyst
  • Market Research Analyst
  • Personal Financial Advisor
  • Operations Analyst
  • Supply Chain Analyst
  • Business Analytics Specialist
  • Management Consultant

Important Courses

  • Python for Data Science
  • Information Security Management
  • Big Data Technologies
  • Cloud Computing & IOT
  • AI & Machine Learning
  • User Experience Design
  • Deep Learning
  • Data Visualization using Tableau
  • "R" Analytics
  • Marketing Analytics
  • Business Intelligence & Data Mining
  • ITIL
  • Financial Analytics
  • Block Chain Technologies
  • Digital Transformation
  • Social Media Analytics

Credit Requirements

The total credits required for the completion of this degree are 144 and the total marks are out of 4800 for three years.

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