Advantage

  • Strategic Partnership with the Analytics Society of India provides students access to guided analytics learning, webinars, masterclasses, workshops and certification programs.
  • Tie-ups with industry bodies like NASSCOM, Amazon Education Service, Eduskills, National Cyber Safety & Security Standards and other institutions facilitate industry-oriented learning.
  • State-of-the-art Hardware and Software Labs offer students hands-on training AZURE, PYTHON, MySQL, Tableau, Big Data, and more.
  • Employability Skill Enhancement is facilitated through the provision for pursuing online courses offered by the National Programme for Technology Enabled Learning (NPTEL).
  • Centers of Excellence contribute to the holistic development of students through unique programmes and initiatives in areas such as creative and performing arts, innovation and entrepreneurship, sports and wellness, social action and more.
  • Mentoring by leading academicians with national and international acclaim, teachers with cumulative industry experience of 50+ years, and rich academic exposure.
  • Opportunity to gain industry experience by working on Industry Relevant Live Projects, 50+ case studies and assignments.
  • Scope to gain in-demand skills and experience through work-integrated learning opportunities, seminars, webinars, and programming boot camps.
  • Key Facts
  • Scope & Career Opportunities
  • Course Details

Key Facts

DURATION

2 years

PROGRAMME TYPE

PG

DEGREE AWARDED BY

MAKAUT

MINIMUM ELIGIBILITY

Graduation in STEM (Science, Technology, Engineering, and Mathematics) subjects, Economics/Statistics also preferred

ADMISSION PROCESS

To complete admission online, follow the steps below:
  • - Fill up the online application form
  • - Sit for ENPAT and personal interview
  • - Receive selection letter via e-mail
  • - Pay admission fees

FEE STRUCTURE

  • KOLKATA - M.Sc. - Data Science & Analytics: INR 70,625 (fee per semester)
-*The fee structure is different for international students.*-

Scope & Career Opportunities

Students completing the course can be eligible for the following roles in the industry:
  • -Data Analyst
  • -Data Scientist
  • -Data Architect
  • -Data Administrator
  • -Business Analyst
  • -Data / Analytics Manager
  • -Business Intelligence Manager

Success Stories

Course Details

Core curriculum details are as follows -

Course Breakup

  • COMPUTING FUNDAMENTALS
  • STATISTICAL METHODS
  • MACHINE LEARNING
  • ADVANCED CONCEPTS IN DATA SCIENCE
  • Computing Basics
    Computing environment, operating systems, networking, object-oriented programming, modern computing scenarios and cloud computing
  • Database Management
    Manage data in relational databases and SQL programming

Top Recruiters

Events

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Our Computing & Analytics School Faculty

Meet our faculty members

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