A Master of Analytics is highly valuable in Australia, given the increasing demand for professionals skilled in data-driven decision-making. With industries across finance, healthcare, marketing and technology relying on analytics to drive strategic decisions, this qualification opens doors to diverse and rewarding career opportunities.

Australia's thriving business landscape and focus on innovation make it an ideal place to leverage advanced analytics skills. Graduates from programs like UNSW Online's Master of Analytics are equipped with both technical expertise and strategic insights, making them highly sought after by employers. Whether you're looking to advance in your current role or pivot to a new career, this degree can enhance your employability and earning potential.

Skilled and qualified analytics experts are amongst the most highly sought-after professionals globally. This in-demand skill affects a wide range of industries. According to Cognitive Market Research, industries such as healthcare, finance, retail, manufacturing, and government are leading the adoption of big data analytics.

Although the value of analytics is long recognised across industries, the digital transformation of the economy and the flood of data created daily has made it a crucial tool for organisations to influence strategic business decisions.

The online Master of Analytics at UNSW has been designed to ensure graduate can confidently apply highly technical and strategic influencing skills. The program prepares you for data analytics opportunities across a myriad of industries for existing and future roles. Job roles can include:

• Analytics Manager
• Business Process Analyst
• Management and Analytics Consulting
• Market Researcher
• Senior Business Analyst
• Business Process Analyst
• Change Analyst
• Data Engineer
• Business Analyst
• Marketing Manager
• Marketing Analytics Specialist
• Operations and Logistics Analyst
• Quantitative Analyst
• Insights Analytics Senior Analyst
• People Analytics Manager
• People Experience (PX) Systems and Insights Manager
• Remuneration and Analytics Manager
• Senior Business Analyst
• Strategic People Analytics Consultant
• Workplace Systems and Data Officer
• Workforce Planner

The online Master of Analytics at UNSW is one of the most comprehensive postgraduate qualifications in data analytics, delivered online and accelerated so you can graduate in as little as two years without compromising your career.

Data has disrupted the skills and knowledge required of employees, across functions, to deliver value to their organisations. Organisations now demands professionals who can skilfully apply data-driven decisions and analytics capabilities to deliver a range of business solutions.

The online Master of Analytics at UNSW draws on thought leadership and advanced practice to produce a program that is comprehensive and contemporary. It teaches graduates the technical and analytical skills needed to source, analyse and apply data insights, and the strategic thinking and communication skills to drive business change.

This program is suitable for a range of business professionals, from data-driven decision makers in IT or Marketing to functional Business Analysts, Analytics Managers and future Chief Analytics & Insights Officers. It's for those who wish to upskill in data storytelling, data insights, consulting analytics and ethical analytics practice.

The online Master of Analytics at UNSW provides you with the skills employers demand, to fast-track you to a rewarding and dynamic career in Analytics. The program draws on thought leadership and advanced practice to ensure it is both comprehensive and contemporary. It delivers graduates the technical analytical skills needed to source, analyse, and apply data insights, and the strategic thinking and communication skills to use those insights to drive business change.

In contrast, the online Master of Data Science establishes students as an expert data scientist, with a focus on the comprehensive technical knowledge, so you can take advantage of the booming employment market and gain a professionally and financially rewarding data career.

If you are looking to upskill in analytics and do not have a recognised bachelor’s degree (or equivalent qualification), you can enter the Master of Analytics via an articulation pathway from the Graduate Certificate in Analytics. Upon successful completion of the Graduate Certificate with a minimum WAM of 65, students will be eligible to articulate to the Graduate Diploma in Analytics or the Master of Analytics with full credit for the courses completed as part of the Graduate Certificate.

Applicants for the Graduate Certificate in Analytics who do not have an undergraduate degree are required to have a minimum of 3 years relevant* or professional experience in analytics, clerical, or administrative work in a commercial, not-for-profit, or public service organisation or other analytics-related positions.

*Relevant experience includes being responsible for tasks that are non-routine, unstructured or semi-structured, engaging in problem-solving activities. It can include experience of managing a small team, being a team leader, managing a project or being responsible for the management and allocation of resources. Alternatively, engaging in a professional role over a period of time is relevant experience.

The total indicative cost of completing your degree depends on the elective courses you choose to complete and any recognition of prior learning before the commencement of your studies. For indicative domestic and international tuition fees visit the Fees page*.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university program. This government loan scheme helps pay for all or part of their tuition. For more information visit: StudyAssist.

*All prices are listed in Australian dollars. Go to our Fees page for up-to-date information. Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year. Indicative fees are a guide for comparison only based on current conditions and available data. You should not rely on indicative fees. Study plans and completion times might vary depending on the choice of elective courses, RPL, leave and course availability. For more information, please speak with a Student Advisor.

Study anywhere at any time, and graduate with a Master of Analytics in as little as two years without taking time out of the workforce. The immersive education experience has been crafted to align with the motivations and experiences of the busy working professional.

You can shape your studies to fit in with your career and lifestyle, studying one course at a time, increasing your employability, and instantly adding value to your career and organisation.

UNSW Online advises that each hexamester involves 150 hours of study. This averages around 20 hours per week, depending on the course and your schedule. The study mode is 100% online, so there are no on-campus requirements.

Discover tips on how to maximise your study.

Your previous studies can be acknowledged as credit towards your online postgraduate studies provided that they meet relevant course requirements. If you are eligible for admission and you have undertaken previous studies at another institution, you may be eligible to apply for Recognition of Prior Learning (RPL).

Students can apply for RPL during the program application process and must ensure all relevant supporting documents are submitted for assessment if requested by Admissions, including course outlines from the same year they completed the relevant course/s as content may change over time. Courses successfully completed within the past ten years can be used for credit transfer within a program as provided within the program rules and the University rules on credit.

If completed similar courses in previous undergraduate study, Master of Analytics students can claim up to 4 courses (24 units of credit) of RPL advanced standing. If students have completed postgraduate studies in addition to completed undergraduate studies, they can claim a maximum of 6 courses (36 units of credit) of RPL advanced standing for the Master of Analytics program.

Find out more about RPL and credit transfer at UNSW. Speak with a Student Enrolment Advisor to learn more about additional requirements and to receive guidance around the RPL process.

No, studying with UNSW Online does not make you eligible for a student visa, as all programs are delivered 100% online and can be completed from anywhere in the world. To be eligible for a student visa, you must enrol in an on-campus program that meets the visa requirements for studying in Australia.

No, you can study entirely online from your home country. UNSW Online programs are designed for flexible learning and do not require you to be in Australia. This means you don’t need a student visa to apply.

Yes, international students can apply for UNSW Online programs, provided they meet the entry requirements. A student visa is not required or will be issued.

In Australia, the average salary for a Marketing Analyst is about $85,000 per year, with variations based on experience and location.

• Entry-level: $70,000–$80,000
• Mid-level: $85,000–$110,000
• Senior: $120,000–$130,000+

Salaries are generally higher in Sydney and Melbourne due to stronger demand in tech, finance and digital-first industries. Analysts with advanced skills in marketing analytics or automation often earn at the upper end.

Individuals with a postgraduate qualification earn, on average, 18% more than those with an undergraduate degree alone, reflecting the rising value of advanced analytical capability.

Sources: Jora, Emergi Mentors, QILT Graduate Outcomes Survey, AFR.

Eligibility requirements for master's programs in data analytics typically include academic qualifications or relevant industry experience. For example, to enter the UNSW Online Master of Analytics, you need to meet one of the following criteria:

• A recognised bachelor's degree (or equivalent qualification) with a credit average of 65% or higher.
• A completed UNSW Graduate Certificate in Analytics with a minimum Weighted Average Mark (WAM) of 65.

You can gain entry to the Graduate Certificate with minimum of three years of relevant professional experience in analytics or a related field if you do not hold a bachelor's degree.

These pathways are designed to accommodate applicants with both academic and professional backgrounds, and an interest in analytics, providing a clear route into the program.

A Master of Analytics builds advanced skills in data analysis, insight generation and strategic decision-making, preparing you for high-demand roles across marketing, finance, healthcare and technology.

Key benefits include:

• Stronger eligibility for analytics, strategy and leadership roles.
• Higher earning potential in data-driven industries.
• Ability to translate complex data into clear business recommendations.
• Improved problem-solving, critical thinking and communication skills

A postgraduate analytics program gives you the depth and credibility to lead data-driven initiatives with confidence in a rapidly evolving market.

Yes, analytics master's are an in demand degree. The data analytics market in Australia is projected to grow at a compound annual growth rate (CAGR) of 38% from 2025 to 2030, reflecting the increasing reliance on data-driven decision-making across industries. Key sectors driving this demand include finance, healthcare, retail and technology. As the global volume of data continues to expand, the need for skilled analytics professionals remains critical to help organisations navigate and leverage this data for strategic business decisions.

The UNSW Online Master of Analytics develops practical data analytics, quantitative modelling and business decision-making skills that can be applied to complex organisational problems. 

Depending on your elective choices you'll learn how to: 

• Analyse and interpret data using statistical methods to identify patterns, relationships and actionable insights.
• Build quantitative and predictive models, including statistical models, decision trees and neural networks, and explore automated machine learning techniques.
• Use descriptive, predictive and optimisation modelling to evaluate options, forecast outcomes and support evidence-based decision making.
• Work with databases and SQL, including conceptual data modelling, relational database design, querying and managing organisational data.
• Apply programming to analytics to prepare, manipulate and analyse data and solve business problems.
• Visualise and communicate data so complex findings can be understood by technical and non-technical stakeholders.
• Translate analytics into business decisions, connecting data and modelling outputs to commercial problems, recommendations and organisational action.
• Critically evaluate data and AI outputs, considering assumptions, limitations, bias, ethics, privacy and responsible use.
• Lead data-driven change by using evidence to influence stakeholders and support better organisational decision making.
• Systems / Data modelling: Design and implementation of data structures, databases, information systems, Big Data platforms and other technical modelling approaches. 

Together, these skills prepare you to do more than produce analysis. You'll develop the technical analytics capability and business judgement to turn complex data into decisions, recommendations and action.