The M.Sc. (Data Science & Analytics) programme at NSHM is an opportunity for graduates from a broad range of disciplines to develop their skills on data science. We are living in a data-driven world and data analytics helps companies to improve their operational efficiency and customer service. Gaining a competitive edge deeply affect their revenue which is making data analysis as one of the most sought after jobs around the world.

Students who have a strong strong analytical and numerical skills with great foothold in mathematics, statistics and computer science can pursue Data Science and Data Analysis. Data analysts are responsible for collecting, storing and interpreting data to achieve larger business goals. Salary of Data Analysts in India is significantly higher than other software related professionals. NSHM is one of the top colleges in West Bengal to offer M.Sc. in Data Science and Analytics with 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. NSHM is associated with national level analytics forums like Analytics India Magazine and Analytics Vidhya to give students access to the best of knowledge resources.


Programme Education Objective

  • Establish professional expertise for descriptive, prescriptive and forecasting applications using – data management, modelling, mining, soft computing, optimization techniques, AI/ML models, big data – classification, patterns, and insights.
  • Demonstrate discoveries in data analysis for medical, financial, scientific applications, and in various decision-support for business and industry.
  • Pursue lifelong learning for innovative solutions and new applications for solving real world problems for societal benefit
  • Attain higher Industry 4.0 knowledge and skills and ethical data use both as an individual, and as member or leader in diverse teams and in multi-disciplinary settings


Career Opportunities

People send an average of 188 million emails, watch 4.5 million YouTube videos, and exchange 18.1 million text messages each minute across the world. Shortly, we generate over 2.5 quintillion bytes of data each day.

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


Programme Structure

Core Curriculum

Computing Fundamentals

Computing Basics

computing environment, operating systems, networking, object oriented programming, modern computing scenario and cloud computing.


Database Management

manage data in relational databases and SQL programming


Statistical Methods


statistics and probability, statistical modelling, and data analysis.


Time series analysis

time series to forecast, smoothing techniques, time series as a stochastic process, spectral analysis of time series data.


Machine learning

Machine learning

design algorithms, machine learning techniques working with business and scientific data.



analyze and process data, build machine learning models with Python programming language.


Advanced concepts in data science

Big Data

big data concepts, Hadoop ecosystem, build big data environment, apply machine learning in distributed big data environment.



AI concepts and use- internet of things, soft computing, green computing, optimization techniques, and game theory.




Programme Type - PG

Duration - 2 years

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



Degree Awarded By -

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