The course builds upon your existing skills in computer science (coding, cloud computing, basic machine learning) and mathematics (linear algebra, probability, statistics and calculus). It will develop your training in the field of data science and allow advanced study into a range of specialised domains such as autonomous systems, computer vision, user experience, and advanced software engineering.
Your study is underpinned by three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It is the holistic combination of these three areas that make graduates attractive to employers.
You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. The course teaches you how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. You'll also benefit and learn from the Department's expertise in trustworthy systems.
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.