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Mathematics and Data Science● OpenMastersPreview

Bachelor of Mathematics / Master of Data Science (Double Degree)

A unique double degree combining rigorous mathematics training with cutting-edge data science expertise for industry-ready professionals.

Best for:Best for students with a strong interest in mathematics and data-driven decision-making who seek a seamless transition into advanced data science roles across diverse industries.

Queensland University of Technology (QUT) · Brisbane, Australia
More professors at Queensland University of Technology (QUT)
mathematical modelingstatistical analysismachine learningdata miningalgorithmic optimizationbig data analytics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Brisbane
Australia

Overview

This vertical double degree programme at Queensland University of Technology (QUT) integrates a Bachelor of Mathematics with a Master of Data Science. Students first build a strong foundation in mathematical principles and techniques, then specialise in data science methodologies to extract insights from complex datasets. The curriculum is designed to prepare graduates for high-demand roles across sectors like finance, healthcare, logistics, and technology. The programme emphasises both theoretical depth and practical application, ensuring graduates can generate actionable insights from data. It is ideal for those seeking a versatile skill set that bridges quantitative analysis and real-world problem-solving.

double degreemathematics educationdata science curriculumquantitative analysisindustry-ready graduatesvertical integration programmefinance analyticshealthcare data science

What you'll do

  • Complete a structured Bachelor of Mathematics degree covering core mathematical principles, including calculus, linear algebra, and statistics.
  • Enrol in a Master of Data Science programme to specialise in advanced topics such as machine learning, data mining, and big data analytics.
  • Develop practical skills in data collection, processing, and interpretation using industry-standard tools and techniques.
  • Engage in collaborative projects that integrate mathematical theory with real-world data science applications.
  • Participate in industry placements or capstone projects to apply learned skills in professional settings.
  • Contribute to research or industry-relevant projects under faculty supervision, bridging theoretical knowledge with practical outcomes.

Requirements

Degree offered: Bachelor of Mathematics + Master of Data Science (Double Degree)

Language: English proficiency (IELTS 6.0 or equivalent, or equivalent English language test)

Instruction: English

Required skills
  • Strong aptitude for mathematical reasoning and problem-solving
  • Basic proficiency in programming (e.g., Python, R) or willingness to learn
  • Analytical mindset for interpreting complex data sets
Nice to have
Prior exposure to statistics or data analysis softwareExperience with data visualisation tools (e.g., Tableau, Matplotlib)Interest in interdisciplinary applications of mathematics and data science
Eligibility
  • Australian secondary school completion with an ATAR/selection rank of 84.00 or higher (including adjustments)
  • Satisfaction of all other admission requirements for the programme

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must apply directly through the QUT admissions portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), and meeting the ATAR/selection rank requirement. Additional documents may be requested based on individual circumstances.

Documents required
  • Academic transcripts from secondary education
  • Proof of English proficiency (if not from an English-speaking country)
  • ATAR/selection rank confirmation (if applicable)
↗Check programme and admissions

Contact

Lab
School of Mathematical Sciences / School of Computer Science and IT
Queensland University of Technology (QUT)
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.