Summary
The Master of Applied Statistics - recently redesigned with industry partners to better reflect employability outcomes - is the only degree of its kind in Sydney. While other postgraduate statistic degrees are largely theoretical, this degree is fully applied, meaning you'll not only learn how to obtain data, but also clean and analyse it, and then communicate your recommendations to those from both technical and non-technical backgrounds. You'll also have the opportunity to augment your classroom learning by completing an independent research project that's unique to this degree. The Artificial Intelligence specialisation will provide you with the advanced knowledge and skills required for a successful career working with AI systems. You'll critically examine emerging trends and topics, such as machine learning and natural language understanding. You'll also consider ethical and legal questions about AI systems, and learn about core AI techniques and the business context in which they operate. And, you'll have many opportunities to undertake practical hands-on experience developing and assessing AI solutions for business, including the option of an industry-based internship or supervised research project.
Key features
Boost your knowledge of advanced areas of statistics
Study biostatistics, data mining, epidemiological methods, generalised linear models, time series and stochastic finance. Complete an individual end-to-end research project
Review an advanced area of statistical methodology and then apply statistical methods and techniques to answer a research question. Study within our new computing precinct
Gain access to the new computing precinct, complete with 14 purpose-built cybersecurity, networking and gaming labs + VR space. Enhance your learning within a unique high-tech precinct
Undertake internships with world-leading organisations that are located next door to us in the Macquarie Park Innovation District.
Career Outcomes
Professions
Academic
Business or venture analyst
Computer systems analyst
Corporate finance analyst
Data analyst
Data engineer
Data scientist
Data visualisation analyst
Machine learning specialist
Operations analyst
Quality analyst
Research scientist
Robotics engineer
Software developer
Software engineer
Solutions architect
Statistical modeller
Statistician
Employers
Banks and financial institutions
Business analysis firms
Cloud computing organisations
Consulting firms
Government agencies and departments
Health organisations
Healthcare agencies
Insurance firms
Market research firms
Media, creative or communications agencies
Medical companies
Metaverse companies
Research institutes
Retail and e-business companies
Social networking services
Sport and recreation organisations
Start-ups
Technology and telecommunications companies
*Price shown is for indicative purposes, please
September 2025
North Ryde Campus
4–6 Eastern Road,
MACQUARIE UNIVERSITY,
New South Wales,
2109, MACQUARIE PARK, Australia
2 years
Master of Applied Statistics
AQF level 8 bachelor honours or graduate diploma qualification in a related field or recognised equivalent, or
Meet two of the following three criteria:
AQF level 7 bachelor's qualification in a related field or recognised equivalent
Approved work experience, professional certification or other recognised prior learning
AQF level 7 bachelor's qualification or recognised equivalent with a WAM of 65
Master of Information Technology in Artificial Intelligence
AQF Level 7 bachelor's qualification in a related discipline or recognised equivalent
English language requirements
*There may be different IELTS requirements depending on your chosen course.
Macquarie is in the top 130 of universities globally (QS 2024) and is a leading institution with a strong tradition of innovation and exploration.