Prerequisites
Bachelor degree in any field and have completed first and second year university level (or equivalent) biology or mathematics. UQ or equivalent GPA of 5 or above on a 7-point scale.
IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ
TOEFL IBT - Overall 87, listening 19, reading 19, writing 21 and speaking 19.
TOEFL PB - Overall 570, listening 54, reading 54, writing 59/5.
Pearsons - Overall Score of 64 and 60 in all sub bands.
BE - A minimum overall grade of 4 plus a minimum grade of C in all macro skills.
CES - Overall 176 and 169 in all sub bands.
OET is not accepted.
Capitalise on the urgent demand for graduates with programming and analytical skills within biological fields and in emerging job markets, such as personalised medicine, biotechnology and agribusiness.
The 32-unit Master of Quantitative Biology is designed for graduates who have completed first and second-year university level (or equivalent) biology or mathematics.
During your first semester you'll develop your knowledge of conservation, mathematics, and statistics. You'll then further develop your programming skills, navigate High-Performance Computing (HPC) platforms and spatial tools, such as remote sensing. You'll learn how to visualise complex data in creative ways, produce interactive Shiny apps for exploring data, and bundle your code into well-documented and readily deployable R packages.
In your final semester, you’ll complete a research proposal and plan, and then complete a project under the supervision of a partner from industry or government, or an academic from UQ. This allows you to gain practical experience working with large data sets while enhancing your report writing and project management skills.
Our graduates can expect diverse career options including data-based roles in the corporate, government, conservation, environmental and medical sectors, and in research organisations globally.
CRICOS CODE: 0100695
More info: Click here
MQBiol Foundational Courses
Complete 8 units comprising:
4 units for all MQBiol Compulsory Foundational Courses, and
4 units from MQBiol Elective Foundational Courses
MQBiol Compulsory Foundational Courses
Complete 4 units for ALL of the following:
Genes, Cells and Evolution
Mathematical Foundations II
MQBiol Elective Foundational Courses
Complete exactly 4 units from the following:
Introduction to Proteins & Nucleic Acids
Evolutionary Perspectives on Modern Society
Sampling Design & Analysis in Conservation Science
Available internally for domestic students only.
Calculus & Linear Algebra I
Discrete Mathematics
Environmental Philosophy
Introduction to Epidemiology
MQBiol Core Courses
Complete 14 units for ALL of the following:
Foundations in Quantitative Biology
Multivariate Data Analysis & Machine Learning in Biology
Dynamic Modelling of Biological Systems
Computational Methods in Biology
Statistical Modelling in Biology
Science Communication in Quantitative Biology
Introduction to Big Data Biological Research
MQBiol Research Project Courses
Complete 6 units for ALL of the following:
Research project in Quantitative Biology
MQBiol Program Elective Courses
MQBiol Research Courses
Complete 4 units for ALL of the following:
Research Experience in Quantitative Biology
MQBiol Coursework Courses
Complete exactly 4 units from the following:
Genomics & Evolution of Complex Traits
Natural Resource Mathematics
Conservation & Wildlife Biology
Introduction to Software Engineering
Statistical Analysis of Genetic Data
Machine Learning for Biostatistics
Postgraduate study can take you anywhere. Here are some of the careers you could be on your way to:
Conservation researcher
Environmental data analyst
Pharmaceutical developer
Plant biotechnology researcher
Animal biotechnology consultant
Medical statistician
Personalised medicine researcher
Epidemiologist
OSHC 530 ($) AUD per year
