Bachelor of Medical Mathematics
University of Wollongong
About
It is widely recognised that mathematical and statistical modelling and analysis are the key to future breakthroughs in areas including the understanding of biological systems, the treatment of diseases, drug development, and targeted clinical trials.
This is because mathematics and statistics enable us to design meaningful yet streamlined experiments;
find structure in data;
and construct models that help to predict, and therefore control, future outcomes.The Bachelor of Medical Mathematics provides the tools and develops the skills required for advanced modelling and analysis in the medical and health sciences sector.
Students gain the skills needed to pursue careers in mathematics, statistics, medical research and industry, in areas such as genetics, epidemiology, medical imaging, drug delivery, neurophysiology and pharmacokinetics.The program includes a combination of mathematics, statistics, chemistry, biosciences, population health, medical imaging, physiology and psychology.
Structure
Students who enrol in the Bachelor of Medical Mathematics shall satisfactorily complete at least 144 credit points of prescribed subjects as listed in the table below:
Year 1
Autumn
Students must choose ONE of the following two subjects:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CHEM101 | Chemistry IA: Introductory Physical and General Chemistry | 6 | Autumn |
CHEM104 | Foundation Chemistry: Properties of Matter | 6 | Autumn |
Note: Students who have achieved a mark of 65% or more in NSW HSC Chemistry (or equivalent) must select CHEM101. All other students must enrol in CHEM104.
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH100 | Introduction to Mathematics | 6 | Autumn |
MATH187 | Mathematics 1: Algebra and Differential Calculus | 6 | Autumn |
MEDI100 | Human Structure and Function | 6 | Autumn |
Spring
Students must choose ONE of the following two subjects:
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
CHEM102 | Chemistry 1B: Structure and Reactivity of Molecules for Life | 6 | Spring |
CHEM105 | Foundation Chemistry: Reactions and Structures | 6 | Spring |
Note: Students who have achieved a mark of 65% or more in NSW HSC Chemistry (or equivalent) must select CHEM102. All other students must enrol in CHEM105.
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
BIOL103 | Molecules, Cells and Organisms | 6 | Spring |
MATH188 | Mathematics 2: Series and Integral Calculus | 6 | Spring |
STAT101 | Introduction to Statistics | 6 | Spring |
Year 2
Autumn
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH201 | Multivariate and Vector Calculus | 6 | Autumn |
MATH202 | Differential Equations: Analysis and Applications | 6 | Autumn |
BIOL213 | Principles of Biochemistry | 6 | Autumn |
STAT201 | Random Variables and Estimation | 6 | Autumn |
Spring
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH203 | Linear Algebra and Groups | 6 | Spring |
MATH205 | Numerical Methods | 6 | Spring |
BIOL215 | Introductory Genetics | 6 | Spring |
STAT202 | Statistical Inference and Introduction to Model Building | 6 | Spring |
Year 3
Autumn
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH329 | Medical Mathematics | 6 | Autumn |
STAT332 | Generalised Linear Models | 6 | Autumn |
STAT335 | Sample Surveys and Experimental Design | 6 | Autumn |
PSYC101 | Introduction to Behavioural Science | 6 | Autumn, Summer 2020/2021 |
Spring
Subject Code | Subject Name | Credit Points | Session(s) |
---|---|---|---|
MATH319 | Advanced Numerical Methods | 6 | Not available in 2020 |
STAT301 | Statistical Methods for Data Science | 6 | Spring |
PHYS155 | Introduction to Biomedical Physics | 6 | Spring |
MATH399 | Mathematics Capstone | 6 | Autumn, Spring |
A fourth year of study, Honours, is available to students who have achieved a Credit average or better in the Bachelor of Medical Mathematics. It is a more challenging program that includes a research project. Students who wish to enter the Honours program should obtain the approval of the Honours Coordinator at the end of their third year.
Entry requirements
Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.
Learning outcomes
Course Learning Outcomes (CLOs) are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able to:
CLO Description 1 Demonstrate a coherent core understanding of the fundamentals of both the mathematical and statistical disciplines. 2 Exhibit depth and breadth of knowledge in the discipline areas of mathematics and statistics. 3 Integrate knowledge derived from the medical, biological, physical and behavioural sciences. 4 Investigate, solve and critically interpret practical and/or abstract problems using mathematical and/or statistical methods, including appropriate software tools. 5 Appropriately communicate mathematical and/or statistical reasoning and conclusions to different audiences, using various delivery modes. 6 Apply professional, social and ethical approaches in learning to extend existing knowledge and to work effectively and responsibly as an individual or a team member.
Institution
