Type of institution: University/Higher Education Institution
This course focuses on the analytical skills and technical knowledge that underpin the sophisticated data analysis tools on which key aspects of business activity rely. These tools enable industry to capitalise on 'big data' by gaining insights through expert interpretation of results of statistical and other quantitative analyses. In this course students study key areas of business activity and develop a broad range of mathematical, statistical, computational and data management skills, as well as experience in the use of information technology required for modern data analysis. Students also study a major in the language and culture of another country. Data science and analytics are key components in the success of knowledge-based industries and in the delivery of high-value data products. This requires knowledge workers with sound mathematical skills as well as familiarity with the areas of business and policy development that can benefit from modelling, optimisation and data analysis. Career options include data scientist and business analyst roles in consumer analytics and marketing research, logistics management, credit risk management, stock market analysis, providing advice on portfolio management, option pricing, prediction of movements in international money markets and financial risk management. Major employers of graduates include media and marketing companies, professional services and consulting firms, banks, insurance companies, superannuation providers, government regulatory bodies such as APRA and ASIC, and other major financial bodies.
Students are required to complete 240 credit points, comprising 144 credit points in science analytics and 96 credit points in international studies. The Bachelor of Arts in International Studies requires undergraduates to study a region or country major over a minimum of three years. It is not offered as a separate degree, but is completed only in combination with the professional degree program. Graduation from the Bachelor of Science in Analytics component of the combined degree is not possible prior to completion of all components of the combined degree. The combined degree is available only on a full-time basis over five years. Students spend two sessions of study at a university or other higher education institution in the country of their major. Students spend their fourth year of study at a university overseas.
- Language and culture of country of choice
- Quantitative analytics
- Data analytics
Standard entry requirements
- An Australian Year 12 qualification, AQF Diploma, or equivalent Australian or overseas qualification at the required level. Admission to the combined degree is on merit according to the admissions policy for the Bachelor of Science in Analytics. There is a range of entry levels to the various language and culture programs. Students are admitted to the international studies program with no guarantee of entry to a specific major, although every effort is made to meet students' preferences. The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0
- Or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21
- Or AE5: Pass
- Or PTE: 58-64
- Or CAE: 176-184. There are no prior language requirements for the international studies program.
The Bachelor of Science (Honours) in Analytics is available to eligible students with an additional one year of full-time study.
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For international students, mid-year (July/August) intake may be considered on a case-by-case basis by the faculty. Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.