BackThe University of Melbourne
OpenMaster degree (coursework)Information Technology

Master of Data Science

ProviderThe University of Melbourne
Course code: SIA-201265UniversityStudy area: Information TechnologyCourse data availableData JSON

Course overview

The Harvard Business Review has labelled data science the "sexiest job of the 21st century". If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on. After all, were creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.

Entry requirements

Postgraduate and higher courses usually use academic prerequisites, degree equivalence and English-language requirements.

Postgraduate entry

An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming,

English requirement
IELTS Academic 6.5

If your current English result is below direct entry, consider the university-recognised English language pathway or ELICOS package; successful completion at the required level can usually satisfy English entry without another English test.

Past Offers

Current-course cases first, supplemented by same-institution scored cases.

Scored cases
Source countriesMalaysia
Common pathwayBachelor background
Target levelMaster degree
Offer fieldsAccounting and Finance
1
MalaysiaBachelor background
Master of Management (Accounting and Finance)Master degree · Accounting and Finance · Offshore
GPA / 4.0GPA 3.26/4.0strong band · approx. top 15-20%

Course curriculum

Course structure, credit points and subject sequence

Course curriculum not yet available

Refer to the institution course handbook.