The major goal of this programme is to equip students with the best education so that they can fulfil the growing demand for highly trained professionals in the domain of data science worldwide. The demand for qualified data scientists has skyrocketed in recent years. Data analysis is essential in order to meet the challenges of making the most efficient strategic and tactical decisions.

This programme will focus on developing an in-depth understanding of the key technologies in data science. Students will gain practical knowledge of various programming languages and tools for data analysis. While playing with data, students will understand to identify trends based on previous data, as well as identifying patterns that can be modelled and used to anticipate how things will look in the future.

Data science is a combination of mathematics, business knowledge, tools, algorithms, and machine learning approaches. It aids in the discovery of hidden insights or patterns in raw data that can be useful in the formulation of key business decisions. This programme develops a thorough understanding of the key technologies in Data Science such as: statistics, data mining, machine learning, deep learning, visualization techniques, predictive analytics, big data analytics, etc. It also provides cutting-edge tools and technologies used for handling, managing, analysing and interpreting data such as: R, Python, Java, Hadoop framework, Spark, Scala, SQL and NoSql databases, Tableau, Keras, TensorFlow, Git, Matlab, AWS cloud, Azure, Google cloud and Blockchain, etc.

Data analytics is significant since it aids in the optimization of business performance. Various Job opportunities are available in the industry such as: Data Scientist, Data Engineer, Data Analyst, Business Analyst and Business Intelligence Professional, Big Data Analyst, Marketing Analyst Professional.

Demand for trained data scientists has witnessed a massive growth in recent years. Opportunities are available in various domains such as: Banking and Financial Services, Energy and utilities, Pharma and healthcare, Ecommerce, Media and entertainment, government sector, agriculture, atmospheric sciences, infrastructure management and e-commerce.