Master of Analytics

RMIT University

Student rating (4.14) from 138 reviews


Masters Degree
2.0 years Full-Time
(or Part-Time equivalent)
This information aims to provide a summary of the course. If you'd like to find out more, please go here

Course Description

Study with depth and flexibility. The Master of Analytics prepares you for statistical analysis in the business world. With a diverse range of electives there is a focus on work-integrated learning.

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 eight core courses and eight options, 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.

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 evening over a two-hour period.

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.

A lot of importance is placed on work-integrated learning and all analytics students have a project experience with our industry partners, working on real data.

Students who secure approved placements and internships in industry can have them counted towards the program.

With eight core courses, the program includes a high degree of flexibility. You can specialise in computer science, economics, finance, logistics or marketing...

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Graduates are employed by a variety of scientific, commercial and government enterprises, most commonly as data scientists, statisticians, business analysts,...

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