As the world becomes ever more data-driven, analytical skills are in high demand but very short in supply. Few companies are exploiting quantitative techniques to their full potential, often due to a lack of in-house expertise.
The programme aims to develop competence in students in the application of statistical and machine learning techniques at a high level. It will provide students with a sound knowledge of the principles underlying standard applications of probability and statistics.
They will be taught to demonstrate statistical software to analyse datasets and interpret the output, using a variety of algorithmic and model-based methods. It is important for graduates to learn to draw appropriate conclusions following empirical analysis and form the basis for managerial decision-making.
Extra Notes
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.