MSc Data Science and Big Data Analytics

This course aims to develop graduates who are experts in the field of data science. The course covers a wide range of topics, including machine learning techniques, implementation and evaluation of data science approaches, tools, and techniques, analytical aspects of big data, finding patterns in data, making meaningful data-driven conclusions. You will: Participate in discussions, share insights, and collaborate on research projects. Engage in hands-on, real-world case studies and industry-relevant projects, allowing you to apply your knowledge to real-world scenarios. Develop a mindset focused on research and innovation. Learn how to use various models, methods, tools and techniques to convert data into information. Be taught by leading research-active professionals, on hand throughout the course to support your learning with their knowledge and expertise. Work in a collaborative learning environment. Benefit from connections with industry partners through guest lectures, workshops, and industry projects, providing you with networking opportunities and insights into current industry practices.

Normal entry requirements for full time and part time will be one of: An honours degree with a 2:2 classification in any subject area, Academic qualifications in other subject areas or at a lower level than honours degree but supported by a maturity of experience at a professional level in a relevant specialist area, Equivalent qualifications of another overseas country which are deemed satisfactory by the program team.