4 years Full time or 8 years Part time
Master mathematical theories and upskill in the in-demand field of data science as you gain 2 qualifications in just 4 years. This vertical dual degree allows you to earn both a bachelor’s and a master’s qualification in just 4 years, instead of the usual 5. Get ready to launch into an exciting career with skills that are in high demand from leading technology corporations worldwide. The Bachelor of Mathematics equips you with strong quantitative and analytical skills. You’ll gain an in-depth understanding of the theory and practice of mathematics, allowing you to apply your expertise to solve complex problems and analyse data effectively. Then complement your undergraduate program with a Master of Data Science, where you’ll be expertly placed to tackle big data challenges across a diverse range of sectors such as business, social, government, finance, economics, health and beyond. Study advanced topics from computing, statistics, and mathematics, and your choice of electives from business, finance, health, or science. This program will teach you how to use cutting-edge data analysis tools and techniques to derive actionable insights from big data. You’ll learn how to make informed decisions in data-intensive environments and graduate ready to revolutionise the way we work, live and communicate. For more information, visit study.uq.edu.au
The University of Queensland
Specialist Mathematics (Units 3 & 4, C) is recommended. Students studying Specialist Mathematics will have increased flexibility in their studies.
BMath Component:
– Applied Mathematics major
– Mathematical Artificial Intelligence major
– Mathematical Physics major
– Optimisation and Operations Research major
– Pure Mathematics major
– Statistics and Mathematical Data Science major
All places in the bachelor degree are commonwealth supported, and the master degree has a mix of CSP and full fee places. Students progressing to the master’s year will be allocated a CSP place based on merit. Students who do not receive a CSP place may study on a full fee basis.
Students must pass all courses in order to progress into the Master of Data Science component of this dual degree.
For additional information about the admissions criteria for UQ and for this course, refer to UQ’s website.
English, Literature, English and Literature Extension or English as an Additional Language (Units 3 and 4, C); Mathematical Methods (Units 3 and 4, C)
For more information about the ATAR/Selection Rank profile, please visit ATAR/Selection Rank profile explained.
Excluding: The lowest ATAR/Selection Rank to which an offer was made, excluding adjustment factors.
Including: The lowest ATAR/Selection Rank to which an offer was made including any adjustment factors that may have been applied.
For more information about the Student profile, please visit Student profile explained.
Contact the institution for information.
Data scientist; Machine learning engineer; Business intelligence analyst; Big data engineer; Data architect; Quantitative analyst; AI specialist; Risk analyst; Supply chain analyst; Actuarial and analytics consultant