Data Science And Analytics | MBA-DSA

Data being recognized as the new oil for organisation and keeping pace with current industry trends and opportunity that it provides as career,  K J Somaiya Institute of Management with its over 3 decades of experience in the field Management Studies is all set to launch MBA – DSA (Data Science and Analytics) beginning AY 2021-22. The MBA – DSA (Data Science and Analytics) 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 domain of their liking.

 
 
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Key Information

The MBA in Data Science and Analytics is specialized programme that prepares professional for solving future complex business problems that requires data-driven decision-making modules to be embedded in IT and modern day software and mobile applications. The programme bucket comprises of courses from communications, statistics, human behavioral and cognitive models, functional areas, information technology and analytical tools. The blend of theoretical concepts, case-based learning, project-based learning, simulation and hand-on practical session define the pedagogy employed for this programme.

  • Cross Functional – Multi Disciplinary Course Structure

    The relevance of Data Science in all the domains of Business is increasing and the organisations are looking for ready-on-job professionals with ability interpret and provide insights to the exceptions that requires urgent attentions 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. The courses such as Artificial Intelligence, Machine-Learning, Internet of Things, ‘R’ Analytics, Python Programming, Design Thinking, Fintech, domain-oriented (HR, Marketing) analytics, sectoral-specific (Retail, Sports, Healthcare) are included keeping in mind the influence that these technologies would have on the way business in future is going to be conducted..

  • Career Opportunity and Growth

    The courses aims at building strong foundations in concepts and application design that will help student redefine their career path and provide new opportunities to grow. The programme would help students get the profile such as data analyst, business analyst, data engineers, and data scientists.

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    Locational Advantage

    Mumbai being financial capital and commercial hub of the country, it provides an ample opportunity industry-academia collaborations.

  • Current, trending and up-to-date Curriculum

    With representatives from industry, alumni, seasoned academician in the Board of Studies and Academic Council, the curriculum is built around using technologies that will contribute toward designing and development of business applications and subsequent use of it in decision-making process

First Year

Trimester 1

  • Business Statistics
  • Business Writing and Communication
  • Financial Management
  • Managerial Economics
  • Marketing Management
  • Organisational Behaviour
  • Programming Concepts & Database Applications
  • Spreadsheet for Data Analysis

Trimester 2

  • Cognitive Modeling in Data Science
  • Design and Management of Information Systems
  • Design Thinking
  • Digital Marketing
  • Information Security Management
  • Operations Research
  • Python Programming
  • Research Methodolgy

Trimester 3

  • Artificial Intelligence and Machine Learning
  • Business Intelligence and Data Mining
  • Cloud Computing & IoT
  • Data Visualisation
  • Fintech Concepts
  • Human Resource Management
  • Logistics and Supply Chain Management
  • Operational Analytics
  • "R" Analytics

Trimester 4

  • Big Data Foundations
  • Business Analysis
  • Deep Learning
  • Econometrics
  • Enterprise Systems
  • Financial Analytics
  • Marketing Analytics
  • Strategic Management
  • User Experience Design
  • Summer Project

Trimester 5

  • Blockchain Technologies
  • Human Resource Analytics
  • Information Technology Infrastructure Library
  • IT Business Development
  • Management Consulting
  • Natural Language Processing
  • Social Media Analytics
  • CRM*
  • Healthcare Analytics*
  • Retail Analytics*
  • Sports Analytics*
  • Note:- * List of Elective Subject in trimester

Trimester 6

  • Entrepreneurship Management
  • Ethics and Governance in Data Science
  • Software Project Management
  • Total Quality Management
  • Master Thesis
  • Augemented and Virtual Reality*
  • Industry x.0*
  • Media Analytics*
  • Note:- * List of Elective Subject in trimester

Aspirants  will be shortlisted for the selection process  if they clear the cut-off of either CAT 2020/ XAT 2021 /CMAT 2021 /NMAT(Nov 2020 -10th Feb 2021) & GMAT score valid from Jan 2018 till 10th Feb 2021.

The result of every aspirant will be declared based on aspirants Profile + performance in the GD and PI. The candidates can then again choose a programme based on their preference and result. The institute will allocate seats in programme based on result, seat availability and also allot waitlist number for other choices of the aspirant.

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