Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications.
This course provides you with the computational skills, tools and strong mathematical foundation preparing you for a career in industry. You'll gain practical, analytical and software skills to proficiently gather, process and analyse data, preparing you to tackle complex challenges in modern data science.
To ensure you’re well prepared for the course, you will need a good first degree in a numerate subject such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming.
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.