Bachelor of Science / Master of Data Science (Double Degree)
Combine scientific expertise with data science skills for a competitive edge in data-driven problem-solving.
Best for:Best for students with a passion for science who want to specialize in data science and gain a competitive edge in careers requiring both scientific knowledge and data-driven problem-solving skills.
Overview
This double degree programme at Queensland University of Technology (QUT) integrates a Bachelor of Science with a Master of Data Science, providing students with a robust foundation in scientific principles and advanced data science techniques. Graduates will develop proficiency in data analysis, visualization, and processing, preparing them for diverse career opportunities in fields requiring both scientific and analytical expertise. The curriculum emphasizes hands-on learning, enabling students to tackle complex societal challenges through evidence-based decision-making. This unique combination of disciplines is ideal for those passionate about science and eager to leverage data to drive impactful solutions.
What you'll do
- Complete a Bachelor of Science degree with a focus on foundational scientific principles and methodologies.
- Concurrently pursue a Master of Data Science degree, gaining expertise in data analysis, visualization, and processing techniques.
- Develop proficiency in handling and interpreting complex datasets to solve real-world problems.
- Engage in coursework and projects that integrate scientific knowledge with data science applications.
- Prepare for diverse career opportunities by acquiring a unique skill set that combines scientific expertise with data-driven decision-making.
Requirements
Degree required: Secondary school completion with an ATAR/selection rank of 80.00 or higher (including any adjustments), or equivalent qualification.
Degree offered: Bachelor of Science and Master of Data Science (Double Degree)
Language: English proficiency (if applicable for international students, though not explicitly stated in the source).
Instruction: English
- Strong foundation in scientific principles and methodologies.
- Basic proficiency in mathematics and statistics.
- Ability to analyze and interpret complex data sets.
- Interest in applying data science techniques to scientific problems.
- Australian secondary school completion with an ATAR/selection rank of 80.00 or higher (including adjustments).
- Satisfaction of all other admission requirements set by QUT.
Funding & terms
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 should visit the QUT course page to apply online. The application process typically involves submitting academic transcripts, proof of English proficiency (if applicable), and meeting the specified ATAR/selection rank criteria. Additional documents may be required based on individual circumstances.
- Academic transcripts from secondary school
- Proof of ATAR/selection rank (if applicable)
- Proof of English proficiency (if applicable)
- Personal statement or motivation letter
Contact
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