Queensland Tertiary Admissions Centre

Bachelor of Mathematics/Master of Data Science
720540
Sciences
Master mathematical theories and upskill in data science with a vertical dual degree, earning both a bachelor’s and master’s in just 4 years. Build strong quantitative and analytical skills in mathematics, then advance to data sci […]
Full time Part time
Course Fee
CSP/$6530 (1st year contribution)
The University of Queensland - St Lucia
Start Date
Feb 2026
Jul 2026
Duration

4 years Full time or 8 years Part time

Offer Rounds
,
Course outline

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

Note

Specialist Mathematics (Units 3 & 4, C) is recommended. Students studying Specialist Mathematics will have increased flexibility in their studies.

Majors

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

Fee notes

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.

Other requirements

Students must pass all courses in order to progress into the Master of Data Science component of this dual degree.

Admissions Criteria

For additional information about the admissions criteria for UQ and for this course, refer to UQ’s website.

Prerequisites

English, Literature, English and Literature Extension or English as an Additional Language (Units 3 and 4, C); Mathematical Methods (Units 3 and 4, C)

Recommended study
Specialist Mathematics (Units 3 & 4, C) is recommended. Students studying Specialist Mathematics will have increased flexibility in their studies.
Minimum Selection thresholds (ATAR/Selection Rank) for semester/trimester/term 1, 2025
97.00
ATAR/Selection Rank profile for those offered places wholly or partly on the basis of ATAR/Selection Rank for semester/trimester/term 1, 2025

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.

Student Profile by Applicant background for semester/trimester/term 1, 2025

For more information about the Student profile, please visit Student profile explained.

Notes

Contact the institution for information.

Career opportunities

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

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