Data Analytics finds application across a range of areas, such as taking care of complex business issues, expanding efficiencies in hospital and medical centers, and recreating sporting challenges.
The coursework includes components like optimization, computer simulation, decision analysis, statistics, predictive modelling, data mining and visualization, applied probabilistic modelling, artificial intelligence, applications in finance, marketing, supply chain, information systems and economics using these tools.
The basic eligibility criterion for pursuing the course is a 10+2 or equivalent qualification in any stream from a recognized educational Board, with a minimum aggregate score of 50%.
