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This innovative B.Sc. in Data Science programme at NSHM will provide participants with an opportunity to get exposed to a broad range of subjects leading to a high-level of data science skills. The objective of this programme is to help the students develop into agile, skilled data scientists and become 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 and more. The pedagogy is will be extremely hands-on using real world case problems. NSHM has state-of-the-art infrastructure for high performance computing. The institute has collaborated with Analytics Society of India, Kolkata Chapter to provide guided analytics learning and certification. It is also association with national level analytics forums like Analytics India Magazine and Analytics Vidhya.
India is the second-highest country next to the US to have generated the demand to recruit about 50,000 Data Scientists for 2020 and 2021. After studying B.Sc in Data Science, students can join the industry in following roles:
fundamentals of computing, computing peripherials, data structure, web and internet.
management of data, databases and SQL programming
fundamentals of statistics and probability, statistical modelling and data analysis.
time series to forecast, smoothing techniques, time series as a stochastic process, spectral analysis of time series data.
design algorithms, artificial intelligence & machine learning techniques, AI/ML applications with business and scientific data.
Analyze and process data, build machine learning models with advanced Python programming language.
big data concepts, Hadoop ecosystem and build big data environment, apply machine learning in distributed big data environment.
techniques of faster reporting, analysis, planning, business decision support, improved data quality, operational efficiency, agile methods, user centricity and customer satisfaction.