Queensland Tertiary Admissions Centre

Bachelor of Mathematics/Bachelor of Computer Science
714421
Sciences
Students are equipped to research and develop the next major breakthroughs in technology and science. They combine theoretical studies of algorithms and data structures in computer science with specialised knowledge and advanced a […]
Full time Part time
Course Fee
CSP/$6270 (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

Students are equipped to research and develop the next major breakthroughs in technology and science. They combine theoretical studies of algorithms and data structures in computer science with specialised knowledge and advanced applications of mathematics. Students choose a mathematics specialisation from a wide range of courses in mathematics and statistics. They learn to solve data-driven problems across the physical and biological sciences, engineering, information technology, economics, and business. Through their studies, students develop high-level quantitative and analytical skills, preparing them for key roles in fields such as cybersecurity, data science, machine learning, programming languages, and scientific computing. These skills are critical to supporting industries like global finance, energy, transport, health, and communications. For more information, visit Bachelor of Mathematics/Computer Science at UQ.

The University of Queensland

Majors

Applied mathematics, cyber security, data science, artificial intelligence, mathematical artificial intelligence, mathematical physics, optimisation and operations research, programming languages, pure mathematics, scientific computing, or statistics and mathematical data science.

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
92.00
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.

ATAR/Selection Rank excluding adjustment factors

99.80

ATAR/Selection Rank including adjustment factors

99.95

ATAR/Selection Rank excluding adjustment factors

97.40

ATAR/Selection Rank including adjustment factors

99.65

ATAR/Selection Rank excluding adjustment factors

88.00

ATAR/Selection Rank including adjustment factors

92.15

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.

Number of students

<5*

Percentage of all students

<5*

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

N/P#

Percentage of all students

N/P#

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

Number of students

0

Percentage of all students

0.0%

All students

Number of students

22

Percentage of all students

100%

Notes

* “<5" – the number of students is less than 5
# N/P – Not published: the number is hidden to prevent calculation of numbers in cells with less than 5 students

Career opportunities

Finance; economics; information technology; data science; teaching (with additional study); emerging fields at the integration of science and technology.

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