
The Bachelor of Data Science and Decisions at UNSW places you at the leading edge of industry and government to meet the high demand for data scientists and data analysts. You’ll develop broad theoretical knowledge and practical skills in data science across the three areas of mathematics and statistics, computer science, and economics. As you delve deeper into your study journey, you’ll gain specialised knowledge in one of three areas by selecting your preferred major.
Students of the Bachelor of Data Science and Decisions complete 24 courses taken over three years if studying full-time. This includes the following components:
TIP: when using the Handbook or the undergraduate degree templates, always select the year you commenced studying science at UNSW and follow those rules throughout your degree.
All rules are outlined in the UNSW Handbook and we encourage you to use this in conjunction with the degree templates to ensure you are selecting courses that count towards your degree. If you’re approaching the end of your studies, you can request a progression check and our staff will provide an outline of your remaining degree requirements.
Computational data science is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. This major enables you to specialise further in computational data methods to improve business decisions and inform policies.
The business data science major allows you to specialise further in econometrics and business applications, opening a pathway to exciting careers in data science. Students will develop a strong technical background in mathematics, statistics, computer science and economics.
The quantitative data science major provides a strong technical background in mathematics, statistics, computer science and economics. Ultimately, enabling you to specialise further in mathematical and statistical methods to interpret, understand and predict data sets for businesses and government.
You won’t need to make your major selections until the start of your Stage two courses.
This allows time to gain a clearer understanding of the direction you’d like to focus your data science and decisions study.