University of New South Wales
Master of Analytics
Nationally Recognised Higher EducationBig data has disrupted the skills and knowledge required of employees, across functions, to deliver value to their organisations. The demand for professionals with data analytics capabilities who can skilfully apply data-driven decisions is increasing exponentially.
The online Master of Analytics program is designed for ambitious working professionals that are looking to develop advanced analytics capabilities and apply data-driven decisions. This program provides students with the expertise to influence business decisions, leverage career opportunities and gain skills that can be applied across all industries.
Depending on your career goals, you can choose to tailor your program studies with a specialisation in Human Resource Analytics, or Marketing Analytics. Alternatively, you can also continue without a specialisation, and choose more broadly from all of the electives to tailor your program to your career goals and interests.
UNSW’s Master of Analytics 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. Providing you with the skills employers demand, it’s your fast-track to a rewarding and dynamic career in analytics.
Delivery mode
University of New South Wales offers this course through the following delivery modes:
Online
Set your own study schedule and balance study with your other commitments.
Entry requirements
Domestic Students
- There are no mandated entry requirements.
A recognised bachelor degree (or equivalent qualification) with a credit average of 65% or higher
A recognised bachelor degree (or equivalent qualification) with a credit average of 65% or higher
Additional requirements may apply.Course fees
$58,000
$58,000
Career opportunities
The Master of Analytics will prepare you for the following roles.
Analytics Manager
An Analytics Manager oversees the collection and analysis of data to support business decisions. You might work in various industries, including fi...
Business Analyst
A Business Analyst examines systems and processes within an organisation and comes up with solutions to improve business performance. You might ana...
Business Intelligence Analyst
A Business Intelligence Analyst examines business performance and recommends IT systems to increase efficiency. You might look at current practices...
Data Engineer
Data Engineers work with big data, helping organisations store and access their operating data more efficiently. They liaise closely with senior ex...
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Statistician
A Statistician uses mathematical techniques to come up with data on a range of issues. You might conduct research and collect data using various me...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology ...
About University of New South Wales
Since our foundation in 1949, UNSW Sydney has made an ongoing commitment to improve and transform lives in Australia and globally.
The essence of UNSW Sydney is not found in our impressive facilities or beautiful grounds. It is found in our students, our staff, our alumni and our generous donors. Our collective difference reflects the unique perspectives of our people, place and purpose as we play our part in the creation of a just society.
Our guiding motto, Scientia Corde Manu et Mente–Knowledge by Heart, Hand and Mind–embodies our commitment to embrace diversity of thought, integrity, innovation, and our deep connections with the community.
UNSW is a vibrant, multicultural campus with students and staff from over 120 different nationalities. We believe our cultural diversity is one of our main strengths, as it exposes us to alternative perspectives and experiences in our working, learning and research environments.
