Master of Data Science (University of Sydney)

Overview

• Duration: ~ 18 months full-time for campus delivery.
• Target students: Those with a strong quantitative/mathematical background who want to use data science to drive business or research decisions.
• Mode: On-campus (Darlington / Camperdown) and possibly online variants.
• Tuition fee (international indication): Around AUD 55,100 (for the first year for international students) for campus version.

 Admission Requirements

Here is what applicants must typically meet:

Academic background

• A recognised three-year Australian bachelor’s degree (or equivalent) in a cognate discipline (such as computer science, data science, software/computer engineering or other disciplines with a strong quantitative component) showing a minimum credit average (65%) or equivalent.
• Alternatively: Completion of the University of Sydney’s Graduate Diploma in Data Science (or Graduate Certificate) with a minimum credit average.
• For those with such background, there may be a Reduced Volume of Learning (RVL) – e.g., up to 24 credit points or half a year less.

English language proficiency

If English is not your first language, you must provide an approved English test score. Example test requirements:

• IELTS overall minimum 6.5; minimum 6.0 in each band.
• TOEFL iBT overall minimum ~85; with minimum scores in Writing/Reading/Listening etc.
• Other tests (PTE etc) may also be acceptable.

Other requirements

• Transcripts from previous institutions (showing grades, courses, outcomes)
• Resume/CV showing academic and/or professional background especially if quant/tech related.
• For international qualifications, equivalency will be considered.
• Possibly a statement of purpose/motivation and evidence of your interest/ability in data science, computation, statistics.

🗓 Application & Deadline Notes

• Because this is a high-demand programme, apply as early as possible. Some sources list Feb and July intakes for this program
• Deadlines vary by intake and by program — check the University website for the specific year.
• Ensure you submit all required documents (transcripts, English test, CV, application form) ahead of deadlines.

🎓 Fit for the programme

This kind of Master of Data Science is especially appropriate if you:

• Have a strong quantitative/technical background (programming, statistics, data, maths)
• Are motivated to work as a data scientist, analytics lead, machine learning engineer, business intelligence professional, data-driven decision maker
• Want a globally-recognised university credential (University of Sydney is highly ranked)
• Are comfortable studying in English and engaging with advanced technical content