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.
This degree allows you to choose from a diverse range of electives combined with a strong core of statistics and operations research.
With seven core subjects and nine electives, the curriculum 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, 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 study 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.
If you wish to have industry or employment experience assessed as part of meeting the entry requirements you will need to provide a detailed CV/resume listing previous positions, dates of employment and position responsibilities; a statement from your employer confirming these details (or contact details of employer so RMIT can seek confirmation); and evidence of any relevant professional development undertaken.
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.