Master of Applied Data Analytics

Please note that some of the courses specified in the Master of Applied Data Analytics program will not be offered in intensive mode in 2024 and depending on enrolments may not be offered in intensive mode in 2025 either. Students will need to complete the approved alternative courses listed below on-campus, in standard semester schedules, that may include in-person examinations and tutorials. COMP8910 Data Mining (Intensive) replaced with COMP8410 COMP8930 Data Wrangling (intensive) replaced with COMP8430 COMP7240 Introduction to Database Concepts (intensive) replaced with COMP6240 COMP7230 Introduction to Programming for Data Scientists (intensive) replaced with COMP6730 COMP6990 Document Analysis (intensive) replaced with COMP6490 COMP8920 Neural Networks, Deep Learning and Bio-inspired Computing (intensive) replaced with COMP8420 The Master of Applied Data Analytics is a 1.5 year full-time (or equivalent part-time) degree that provides students with:Exposure to best practice in data analytics.Cutting edge courses in areas of relevance to data analytics practitioners.An opportunity to deepen knowledge in one of the three areas of computation, statistics, or social science.Professional development for practicing data analytics professionals.The opportunity to undertake research of professional relevance. The program is taught in semester mode, and for domestic students the program is also offered in intensive blended mode. Students studying in intensive blended mode are expected to be enrolled part-time. The intensive blended course delivery mode is designed to suit working students who take leave from work (or other commitments) to attend an intensive 1 week of full time learning on campus in the middle of the course, and study remotely for the rest of the course. The intensive blended course delivery mode comprises: 4 weeks of online study, 1 full time week of face to face learning on campus, followed by a further 4 weeks of online study.[097058B]