Deakin’s Master of Data Analytics prepares students for professional employment across all sectors as data analytics specialists in either technology-related or research and development (R&D) related positions. Become a data analytics specialist capable of using data to learn insights and support decision making.
Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.
Throughout your studies you’ll learn to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You’ll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.
As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.
Units in the course may include assessment hurdle requirements.
Career opportunities
Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.
Alternative exits
Graduate Certificate of Data Analytics (S576)
Graduate Diploma of Data Science (S677)
Course rules
To complete the Master of Data Analytics, students must attain 16 credit points. Most units (think of units as ‘subjects’) are equal to 1 credit point. So that means in order to gain 16 credit points, you’ll need to study 16 units (AKA ‘subjects’) over your entire degree. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.
The course comprises a total of 16 credit points, which must include the following:
Four (4) core foundation units (MIS770, MIS782, SIT772, SIT718)*
Four (4) core analytics units (MIS771, MIS772, SIT719, SIT720)
Four (4) ‘Data’ discipline specific units (SIT741, SIT742, SIT743, SIT744)
Four (4) credit points of course-grouped elective units comprising Project units, Industry Placement and/or level 7 elective units.
* Core foundation units for students entering with a degree from a different discipline. Students who are entering with a related academic/professional background may be eligible for credit transfer and recognition for up to 4 of the foundation units. Please contact your course advisor for more detailed information.
* offered in Trimester 2 2016. From 2017, offered in Trimester 1 and Trimester 2.
Course structure
Electives
Select the remaining 4 credit points from a range of level 7 SIT course grouped elective units comprising Project units, Industry Placement and/or level 7 elective units.
