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Key Features
Earn both a bachelor's and master's degree in just four years through this innovative accelerated dual-degree program.
Establish a strong scientific base while developing analytical reasoning abilities and expertise in experimental design, execution, and data interpretation to address challenging issues across multiple scientific fields.
Master cutting-edge data science competencies, gaining expertise in handling, interpreting, and presenting intricate data collections.
QUT ranks as Australia's leading research university for data mining and analytics (Australian Research Magazine 2025).
Graduate ready for diverse professional paths in sectors including digital media, healthcare, education, tech, engineering, agribusiness, and resource industries.
Program Overview:
This accelerated dual-degree caters to science enthusiasts seeking to enhance their capabilities in data science. The curriculum provides comprehensive training in scientific principles and statistical methods while allowing specialization in your selected science discipline.Upon completion, you'll master various data analysis methodologies, empowering you to extract meaningful insights that inform strategic choices across scientific domains.Science Curriculum:
Our program blends theoretical knowledge with practical application, emphasizing experimental methodology to deliver authentic scientific experience through lab work, field observations, and data gathering. Hands-on laboratory, research, and fieldwork commence in your first year. Our inquiry-driven teaching methodology prepares you for diverse professional settings, supported by your scientific understanding, analytical skills, and solution-oriented approach. Course content reflects current research trends. Throughout your studies, you'll engage with internationally recognized researchers and access their specialized facilities and equipment.
Specialization Options:
Chemistry
Climate studies
Physics
Environmental studies
Geosciences
Life sciences.
Data Science Curriculum:
This program prepares you for a thriving career in the fast-changing data science landscape. The multidisciplinary coursework encompasses foundational theories and practical methods, enabling you to implement your skills in prediction, forecasting, data visualization, and decision-making across real-world scenarios.
Specialization Options:
Computational analytics
Statistical modeling
Biomedical informatics
Business intelligence analytics.
Career Prospects:
Graduates will be equipped for numerous rewarding career opportunities in data-driven and scientific fields, including research institutions, public sector organizations, advisory firms, biotech companies, ecological agencies, and beyond.Potential career paths:
Biotechnology specialist
Data analyst
Conservation scientist
Policy advisor
Science educator
Students must have completed Australian Year 12 or an equivalent qualification. Entry requirements vary from country to country. 
 
Pre-requisites: 
Mathematical Methods, or Specialist Mathematics (Units 3 & 4, C)
 
English language requirements: IELTS Academic score of 6.5 with Listening, Reading, Writing and Speaking score of 6; TOEFL iBT score of 79 with Listening, Reading score of 16, Writing score of 21 and Speaking score of 18; Pearson PTE (Academic) score of 58 with Listening, Reading, Writing and Speaking score of 50; Cambridge English Score of 176 with Listening, Reading, Writing and Speaking score of 169.