Analytics is the science and art of analysing data to make better-informed decisions.
It builds on the tradition of statistics and operations research, bringing together tools and expertise from computer science, engineering and business.
This blend of disciplines makes analytics unique in its capacity to solve critical real-world problems. You will learn how to use data to make informed decisions that make significant contributions to the success of organisations, which provides a rewarding and valued career path.
The program allows you to choose from a diverse range of electives combined with a strong core of statistics and operations research.
With seven core courses and nine electives, the program includes a high degree of flexibility. You can specialise in computer science, economics, finance, logistics or marketing or gain a broader understanding of all fields.
Problem-based and work-integrated learning are a major focus of the program and exposure to industry projects provide you with hands-on experience to develop your analytic capabilities.
You also will have the opportunity to apply for placements or internships and have them count towards the program in the second year.
State-of-the-art statistical software used in the program will provide you with hands-on-experience required for analytical practice.
Options for shortened program duration
Based on your previous studies you may be eligible for exemptions which could shorten your program duration.
Options for graduate diploma
After completing 96 credit points of study approved by the program manager, you may exit with a Graduate Diploma in Analytics.
How you will learn
The Master of Analytics is delivered through a mixture of lectures, practicals, online materials, computer lab sessions, individual and group projects.
Classes are usually held once a week in the evenings. There are also opportunities for you to work as part of a team on projects and in consulting activities.
You will learn the fundamentals of statistics and computer programming and all the important tools including R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, Python, Java, Julia, CPLEX, Gurobi and Arena, as identified by our industry partners.
Importance is placed on work-integrated learning and all analytics students have project experience with our industry partners, working on real data.
Students who secure approved placements and internships in the industry can have them counted towards the program.
Electives and program structure
With seven core courses, the program includes a high degree of flexibility. You can specialise in computer science, economics, finance, logistics or marketing or gain a broader understanding of all fields.
- A bachelor degree,
- At least 10 years of relevant work experience.
Graduates are employed by a variety of scientific, commercial and government enterprises, most commonly as data scientists, statisticians, business analysts, consultants, modellers and researchers.
With the increasing availability of data available from sources including smartphones, smartwatches, and the Internet of Things, there will always be analytics opportunities to derive insights.
Employment in marketing has grown exponentially over recent years, followed closely by finance, consulting and business intelligence.