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M.Sc. in Data Science & Analytics

 

Overview

This innovative Data Science & Analytics course is an opportunity for graduates across various disciplines to develop data science skills. The objective is to help students develop their skill set to become agile data scientists, adept at thinking on their feet and to meet challenges and reap the rewards of interdisciplinary team work. The broad areas covered here are:

Applied Statistics, Data Mining and Predictive ModellingMachine Learning, Big Data Analytics, Data Visualization and Applications of Data Science across business domains like Marketing, Retail and Supply Chain, Operations, Banking, Insurance and Finance, Human Resources, etc. The pedagogy is will be extremely hands-on using real world case problems.

[College Code Kolkata: NCMTKOL]    [College Code Durgapur: NCMTDGP]

M.Sc. in Data Science & Analytics
Course Level PG
Duration 2 Years
Eligibility Engineering or Science Graduate
Type Degree
Selection Basis Valid scores of CAT/ MAT/XAT/GATE


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

Curriculum

The program will equip students with the requisite knowledge and skills to meet real life challenges with data science. It will introduce students to different perspectives on data science, including mathematics, statistics and computational underpinnings of the subject and its applications in specific contexts and various business scenarios. The course consists of four semesters spanning across two years. The detailed semester-wise breakup of subjects will be as follows:

Semester I

  • Applied Statistical Analysis
  • Database Management Systems
  • Object Oriented Programming in Java
  • Business Analytics Fundamentals
  • Applied Statistical Modelling Lab
  • Database Management Systems Lab
  • Object Oriented Programming in Java Lab

Semester II

  • Machine Learning I
  • Advanced Statistical Modelling
  • Bayesian Networks
  • Design and Analysis of Algorithms
  • Data Warehousing and Multidimensional Modelling
  • Programming in R Lab
  • Machine Learning I Lab

Semester III

  • Machine Learning II
  • Big Data Analytics
  • Programming in Python
  • Natural Language Processing and Text Analytics
  • Predictive Model Design and Interpretation
  • Python Programming Lab
  • Machine Learning II Lab

Semester IV

  • Elective – I
  • Elective – II
  • Major Project
  • Grand Viva

Specializations

NSHM will provide the following advanced analytics courses as electives:

  • Analytics of Internet of Things
  • Deep Learning and Artificial Intelligence
  • Optimization Techniques
  • Data Visualization Using Tableau and Python
  • Marketing Analytics
  • Financial Analytics
  • Social Media and Mobile Analytics
  • Logistics and Supply Chain Analytics
  • Financial Econometrics
  • Healthcare Analytics

Special Deliverables

  • Analytics Society of India, Kolkata Chapter guided analytics learning and certification
  • Association with national level analytics forums like Analytics India Magazine and Analytics Vidhya.
  • Faculty with proven track records in Industry and academics with experience in variousindustry verticals of analytics and also in research and development and innovation
  • Association and academic collaboration with foreign universities
  • Industry-driven curriculum based on the latest trends in the ever changing and evolving fields of Data Science
  • Sessions with Industry experts
  • Training in participating in national level Hackathons on Data Science
  • Extremely well connected with industry which will lead to excellent placement

Placements

Our first batch of successful placement is lined up for 2020.


Industry interactions

  • Industry Internship
  • Live Projects
  • Analyst Training & Development
  • Value Added Co-Curricular Certifications
  • International Visiting Professors led Seminars and Workshops
  • Student Publications in leading journals (International)
  • Research & Development: Preparatory Services
  • Foreign language learning: Communicative Level
  • Communication & Personality Development
  • Exposure to National Conferences (Industry Chambers/IIT/IIM/ISI/IISc etc.)

Infrastructure / Knowledge Tools

State-of-the-art infrastructure for high performance computing that is ideally suited foranalytics of Big Data, Data Science, Cyber Security, Internet of Things and Cloud Computing.


Knowledge Partners

  • Analytics Society of India (DCAL, IIM, Bangalore)
  • Subex, Bangalore IoT
  • CDAC, Bangalore
  • CyberOps, Jaipur
  • National Cyber Safety & SecurityStandards, Delhi
  • Quick Heal, Pune

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