Master of Analytics

What you will study

To complete the Master of Analytics, you must complete eight core courses and four specialisation courses.

Core subjects

Complete the following:

• Principles of Programming
• Introductory Data Analysis
• Analytics and Business
• Managing People, Analytics and Change
• Database Management
• Data Visualisation and Communication
• Predictive Analytics
• Data and Ethics

General Analytics specialisation

Choose three electives from the list below and complete the capstone course:

Electives

• Human Resources Analytics
• Analytics and Consulting
• Financial Modelling
• Decision Making in Analytics
•  Foundations of Marketing Analytics
• Social Media & Digital Analytics
• Managing Customer Analytics

Capstone course

• General Analytics Capstone

Entry requirements

Academic requirements

To be eligible for the Master of Analytics, you must have a recognised bachelor's degree (or equivalent qualification) with a credit average of 65 per cent or higher as per the UNSW Admissions entry calculator.

Entry via nested qualification

Articulation pathways exist from the Graduate Certificate in Analytics or Graduate Diploma in Analytics programs if the student completes these programs with a minimum WAM of 65.

English language requirements

You may need to provide evidence of your English language proficiency to study at UNSW, depending on your educational background and citizenship. UNSW requires a minimum level of English language competency for enrolment. English language skills are essential for webinar comprehension and the completion of coursework, assignments and examinations.

If English is not your first language, you will need to provide proof of your English proficiency before you will be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:

• English language tests and university English courses.
• Prior study in the medium of English.
• Other qualifications.
• English waivers.

Recognition of Prior Learning

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 four 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 six courses (36 units of credit) of RPL advanced standing for the Master of Analytics program.

Contact the university for more information.

Outcomes

Career outcomes

• Analytics manager
• Business intelligence analyst
• Management and analyst consulting
• Project manager
• Market researcher
• Senior business analyst
• Business process analyst
• Change analyst
• Database administrator
• Data engineer
• Business analyst
• Marketing engineer
• Marketing analytics specialist
• Operations and logistics analyst
• Quantitative analyst
• Insights analytics senior analyst
• People analytics manager
• People experience (PX) systems and insights manager
• Renumeration and analytics manager
• Strategic people analytics consultant
• Workplace systems and data officer
• Workforce planner