Master of Business Administration

Major in Data Science & Analytics | MBA

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.

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Pedagogy

The pedagogy besides class room 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 the 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, Design Thinking, 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

  • Data Modeler
  • Machine Learning Engineers
  • Risk Analyst
  • Data Architect
  • 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
  • Technology 4.0 (AI Applications in Business)

Credit Requirements

The Data Science & Analytics major specialization has a total of 1300 marks. Further, if we give one credit for 10 hours of teaching (UGC guidelines), the total credits for Major are 39

Curriculum

 
 
Trimester 4 Trimester 5 Trimester 6
Data Science using Python Web & Social Media Analytics Blockchain Technologies
AI & ML Application in Business Big Data Technologies Deep Learning
Data Warehousing and Data Wrangling   Natural Language Processing
Information Security Management   Capstone
Business Intelligence    
Cloud Computing & IoT    
Data Visualization    
Database Concepts & Applications    
Digital Transformation    
Summer Internship    
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