• Total units 24 Units
  • Areas of interest Bioinformatics
  • Specialisation code AQBI-SPEC
Advanced Quantitative Biology and Bioinformatics Specialisation

Corequisite major: Quantitative Biology


Quantitative skills have become an essential ingredient for modern biology.  The vast quantities of genomic data generated by sequencing technologies can only be handled and interpreted through computers using algorithms underpinned by sound mathematical and statistical models.  Mathematics also finds application in directly modelling biological processes at all levels from the molecular to macroscopic.  This specialisation is designed to equip students with an understanding of the mathematics behind the computer programs regularly used by biologists, and an ability to analyse biological data and construct mathematical models.  The intersection of mathematics and biology is one of the fastest growing areas of science, with most large biology laboratories now employing bioinformaticians, creating career opportunities in both the public and private sector.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:
  1. Understand how mathematical and statistical models of biological phenomena from biomolecular to macroscopic scales are constructed and analysed.
  2. Demonstrate the ability to construct mathematical and statistical models of biological phenomena.
  3. Demonstrate the ability to obtain quantitative results from mathematical and statistical models through analytical and computational methods.
  4. Communicate the results and limitations of mathematical and statistical models of biological models to non-mathematical stakeholders, e.g. experimental biologists and medical researchers.
  5. Demonstrate an ability to complete projects in quantitative biology and bioinformatics individually and within groups.

Additional Information

Advice to Students

Students who need further information should contact the academic convener of the Advanced Quantitative Biology Specialisation.

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This specialisation requires the completion of 24 units, which must consist of:

24 units from completion of courses from the following list:

BIOL2202 Experimental Design and Analysis in Biology

BIOL3151 Population Genetics

BIOL3161 Genomics and its Applications

BIOL3206 Evolution of Biodiversity

COMP3420 Advanced Databases and Data Mining

COMP3600 Algorithms

COMP3630 Theory of Computation

MATH2306 Applied Mathematics II

MATH3029 Probability Modelling with Applications

MATH3501 Scientific and Industrial Modelling

MATH3512 Matrix Computations

MATH3514 Numerical Optimisation

STAT2005 Introduction to Stochastic Processes

STAT3004 Stochastic Modelling

STAT3008 Applied Statistics

STAT3017 Big Data Statistics


This specialisation may only be undertaken in conjunction with the Quantitative Biology major

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