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M.Sc. in Data Science & Analytics

 

Overview

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. The objective is to help the students develop into an agile, skilled data scientists, adept at working in variety of settings and able to meet the challenges and reap the rewards of interdisciplinary team work. The broad areas in which the students will be able acquire their skills and knowledge are: Applied Statistics, Data Mining and Predictive Modelling Machine Learning, Big Data Analytics, Data Visualization and Applications of Data Science in various business areas like Marketing, Retails 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: NKCGOIDGP]

M.Sc. in Data Science & Analytics
Course Level Post Graduation
Duration 2 Years
Eligibility Graduation in STEM Subject
Type Degree

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

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

  • UGC approved bachelor degree program
  • State-of-the-art infrastructure for high performance computing that is ideally suited for analytics of Big Data, Data Science, Cyber Security, Internet of Things and Cloud Computing.
  • 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 various industry 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.

Infrastructure / Knowledge Tools

  • State-of-the-art Laboratory and Infrastructure
  • Library with more than 10,000 books along with e-journals and e-magazines
  • Vastly experienced faculty members with more than 70 % awarded or enrolled Ph.D scholars
  • Huge Extra-curricular and Co-curricular engagement opportunities

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