UNSW Sydney
3 years
Master the skills to unlock hidden insights in big data. This three-year degree combines mathematics, statistics, computer science, and economics to prepare you for in-demand careers as a data scientist, analyst, or engineer at a global top 20 university.
Domestic students require a minimum ATAR of 90.0 (2026 lowest selection rank). Assumed knowledge includes Mathematics Extension 1. International students need an International ATAR of 85.0 or equivalent qualifications (A Levels: 11.0, IB Diploma: 33.0, SAT: 1210.0). English language proficiency is required. Alternative pathways available through UNSW College, Gateway Admission Pathway, and Indigenous Admission Scheme for students not meeting direct entry requirements.
Core courses (120 UOC) include Programming Fundamentals, Data Structures and Algorithms, Introduction to Data Science and Decisions, Microeconomics, Mathematics (1A, 1B, Higher variants), Game Theory and Business Strategy, Linear Algebra, Theory of Statistics, Database Systems, Data Science and Decisions in Practice, and Econometric Theory and Methods. Choose one major: Business Data Science (72 UOC) focusing on econometrics and business applications; Computational Data Science (66 UOC) investigating statistics, machine learning, and data manipulation; or Quantitative Data Science (66 UOC) emphasizing mathematical and statistical methods. Additional general education courses (12 UOC) and free electives (12 UOC) complete the program.
UNSW Sydney is ranked #19 globally (QS World University Rankings 2027) and #1 in Australia. The program leverages expertise from three of Australia's best schools: ranked #1 for Engineering and Technology, #2 for Mathematics, and #2 for Economics and Econometrics. UNSW graduates earn the highest median salaries among Go8 universities and have been awarded Most Employable for six consecutive years. The degree features Work Integrated Learning with industry partners including Amazon, CSIRO, and Clemenger BBDO, providing real-world experience before graduation.
Graduates pursue diverse careers across finance, technology, healthcare, retail, professional services, government, and not-for-profit sectors. With industry salaries ranging A$100K-$160K annually, job growth is projected at 27% for data architects, 23% for data analysts, and 11% for data scientists over the next five years. Potential employers include Airbnb, Coles, Netflix, Spotify, and major financial institutions. Further study options include Master of Data Science and Decisions, Master of Information Technology, Master of Commerce (Business Analytics), and Master of Statistics.
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