Data science is a fascinating, lucrative, and fast-growing field. Data science leverages large volumes of data generated from numerous and diverse sources. Data scientists’ structure and analyze these large volumes of data, uncover patterns, and make predictions in our increasingly digital world. Data science is needed in practically every domain: business, finance, science, health, and the public sector.

Data Science studies the application and development of methods to find solutions for the challenges of data collection and analysis that occur in the most modern services, from digital assistant to search engines, and from online shopping to weather forecasts. The methods of data science involve elements of statistics, computer science, combinatorics and optimization. The need for an integrated study and research across these disciplines is felt across all industries.

Demand is growing for high value data specialists with high level skills to turn stockpiles of information into knowledge for better decision making. It is needed to create high load services and applications based on statistical analysis and representation, and to develop storage and processing systems for big data.

The 2-year postgraduate program comprises of compulsory and recommended elective courses on the most important topics, a wide set of elective courses (depending on the research and professional needs of the student), components of entrepreneurship and innovation, and research activity. Data scientists are already among the most demanded specialists in the hi-tech market. The goal of this program is to equip the most talented young scholars with high-level knowledge and expertise in machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modelling and other important areas of modern data science.

• Sr. No. Category Cr. Hrs.
• 1Core Courses 12
• 2Specialization 6
• 3Electives 6
• 3Thesis/Additional Courses6
• Total30