4 years Full time or 8 years Part time
Combining a Bachelor of Computer Science and a Master of Data Science in a dual degree offers students a unique opportunity for extended study into a field within Computer Science that significantly impacts today’s world: data science. With this vertical dual degree, students learn how to make informed decisions in data-intensive environments and graduate with a combination of high-level technical skills and a capacity for creative and disruptive thinking, ready to solve big data challenges across business, social, government and health data. In the Bachelor of Computer Science, students combine theory with hands-on experience and gain a deeper understanding of all aspects of computer technology. Then, through the Master of Data Science, study advanced topics from computing, statistics and mathematics, and a choice of electives from business, finance, health or science. For more information, visit
Bachelor of Computer Science/Master of Data Science at UQ.
The University of Queensland
Specialist Mathematics (Units 3 and 4, C) is recommended for this program. Students without Specialist Mathematics or equivalent may be required to undertake preparatory courses which may not enable the program to be completed in the minimum time frame without overloading or undertaking summer study.
Cyber security; data science; machine learning; programming languages; scientific computing
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.
ATAR/Selection Rank excluding adjustment factors
99.95
ATAR/Selection Rank including adjustment factors
99.95
ATAR/Selection Rank excluding adjustment factors
98.15
ATAR/Selection Rank including adjustment factors
99.95
ATAR/Selection Rank excluding adjustment factors
93.70
ATAR/Selection Rank including adjustment factors
97.10
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.
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Number of students
15
Percentage of all students
100%
* “<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
Market researcher; data scientist; risk analyst; supply chain analyst; business intelligence analyst; data miner; actuarial and analytics consultant.
Australian Computer Society