MSc Data Science and Big Data Analytics with Advanced Practice

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. This course will equip you with necessary technical skills to navigate and manipulate big data sets. We have developed this course to ensure that you are equipped with cutting-edge knowledge, recognising the current and predicted future of the field. This course will allow you to develop strong communication and problem-solving skills, allowing you to communicate your findings to a variety of audiences. During this course, you will gain critical thinking skills, enabling you to analyse complex data problems. This course will instil understanding of ethical considerations and responsible data handling practices, ensuring you are equipped to address ethical challenges and privacy concerns. This course promotes a mindset of continuous learning and professional development, enabling you to stay updated with evolving trends and technologies in data science and big data analytics.

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.