The course is designed in a manner that it covers all the aspects of data science in detail. The course gives a detailed insight of theory and practical knowledge of different aspects of data science such as Big data analytics, Business analytics, real-time processing, neural networks, artificial intelligence and machine learning.
The course emphasises on the strategies involved in the methodical and strategic analysis of structured and unstructured data and conversion of data into financial profit. It covers subjects related to data mining, storage, programming, software development and implementation of algorithms.
The students will have diverse knowledge about the characteristics and applications of big data analytics after successful completion of the course. Students will develop the skills like critical-thinking, analytical reasoning, decision-making and problem-solving that are enhanced through this course. The course focuses on providing rapid solutions to data-centred problems for easy, quick and efficient management of vast and fast-flowing data.
What Skills does a M.Sc Data Science student develop?
The main focus of the course is to equip students with principal concepts of data science and application in real-time processing functions and applications. The course enables the students to have hands-on experience on data science techniques from various factors like case studies, presentations, internships and interaction with industry experts and makes them highly competitive and employable.
