## Study Planner Information

## What will I study?

Choose an area of your interest:

- Computational Science and Biomedical Science
- Computational Science and Chemistry
- Computational Science and Computer Science
- Computational Science and Ecology
- Computational Science and Genetics
- Computational Science and Geographical Sciences
- Computational Science and Geological Sciences
- Computational Science and Marine Science
- Computational Science and Mathematics
- Computational Science and Microbiology
- Computational Science and Physics
- Computational Science and Plant Science
- Computational Science and Psychology
- Computational Science and Statistics
- Computational Science and Zoology

Why study Computational Science and Biomedical Science?

Would you like to model how diseases spread in real-time? Or simulate the immune system's response to an infection? What if you could find better candidates for drug development? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Biomedical Science is a highly funded field which receives approximately half the total research dollars available to all of science, both nationally and internationally. The ability to process large amounts of data and create accurate models is essential to understanding the mechanisms of human health and disease. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in the biomedical sciences.

Why study Computational Science and Chemistry?

Would you like to understand and predict the structures and reactivities of molecules using powerful supercomputers? Or simulate the use of new polymers in electronic devices? What if you could find better candidates for drug development? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Chemistry encompasses the synthesis and study of molecules and materials, the exploration of their properties and the development of ways to use them in real life. The ability to process large amounts of data, and accurately model complex reactions, is essential to this diverse field. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in the chemical sciences.

Why study Computational Science and Computer Science?

Computational science applies skills from information technology and mathematics to solve problems that can only be tackled through computation. Such problems occur increasingly in all areas of the physical and biological sciences, and engineering. Recent advances in technology give scientists the ability to collect and process vast amounts of data and build sophisticated models that would previously have been impossible.

Computational science is a dual major that builds on any single major, and is specifically designed to provide all science students with cutting-edge computational and quantitative skills that are relevant to their own particular needs.

Why study Computational Science and Ecology?

Would you like to model how the biosphere will respond to human pressures? Or simulate the effects of increased atmospheric carbon dioxide? What if you could create programs to aid better environmental management? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Ecology is the scientific study of how organisms interact with each other and their environments. Accurately modelling these interactions is essential for solving the environmental problems that face us in a new millennium. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in ecology.

Why study Computational Science and Genetics?

Would you like to unravel the genetic basis of disease? Or simulate how our environment affects the expression of our genes? What if you could create an interactive map of the human genome? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Genetics is transforming our understanding of life through knowledge of inheritance, gene structure and expression, the genetic basis of traits, and the interaction between genes and the environment. Computational analysis of genome sequences is allowing unprecedented discoveries in areas as diverse as human medicine, agriculture, conservation biology and biotechnology. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in genetics.

Why study Computational Science and Geographical Sciences?

Would you like to model how climate change has affected a region in the past and simulate how it may be affected in the future? What if you could predict the growth of cities and the movements of populations? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Geographical Science investigates the spatial patterns of physical and human phenomena at local, national and global scales. It uses advanced technology to model and analyse patterns and processes in the physical world, and track human movements and land use. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve the big issues of climate change and its impacts, water scarcity, loss of biodiversity, and planning for sustainable futures for the natural and built environments.

Why study Computational Science and Geological Sciences?

Would you like to simulate how certain land uses will affect a region? What if you could develop more accurate methods of mineral discovery? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Geology is the study of the interacting systems of the solid Earth, atmosphere, hydrosphere, and biosphere as they evolve through time. Geologists use advanced modelling techniques to ensure the sustainability and responsible use of natural resources, and tackle environmental challenges. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in the geological sciences.

Why study Computational Science and Marine Science?

Would you like simulate how climate change will affect our ocean environments? Or demonstrate how our marine ecosystems are changing over time? What if you could create programs to aid sustainable marine management? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Marine science investigates our oceans and coastal habitats to understand the complex interactions that occur in marine ecosystems. UQ has the largest marine research facilities of any Australian tertiary institution, equipped with the most up-to-date technology to explore the unique marine environments on the doorstep of our research stations. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in the marine sciences.

Why study Computational Science and Mathematics?

Would you like to predict the behaviour of financial markets? Or simulate the origins of our universe?? What if you could model how a pandemic disease would spread? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Mathematics underpins an expanding number of disciplines and professions and gives graduates skills which are essential to many fields. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in a range of fields which rely on mathematics.

Why study Computational Science and Microbiology?

Would you like to model how viruses such as HIV interact with the human body? Or simulate the spread of an infectious agent? What if you could track and prevent outbreaks of disease? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Microbiology is the study of microscopic living organisms: bacteria, viruses, fungi, algae and protozoa. Understanding these organisms is directly linked to the control and prevention of infectious diseases, and requires the ability to analyse large amounts of data and build models. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in microbiology.

Why study Computational Science and Physics?

Would you like to model how sub-nuclear particles interact? Or simulate the earliest moments of the universe? What if you could contribute to the fields of nanotechnology, quantum technology and biophotonics? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Physics asks the big questions which have always intrigued humankind, and uses computation, data analysis, simulations and models to find the answers. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in physics.

Why study Computational Science and Plant Science?

Would you like to model how biofuels can be effectively produced? Or simulate how specific plants will cope with drought, salinity or increased temperatures? What if you could produce healthier sugars, anti-cancer drugs and biodegradable plastics? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Plant sciences address some of the greatest challenges facing humankind, contributing to a sustainable food supply, global warming reduction, and fossil-fuel alternatives. Plants are also being developed to produce industrial products, designer molecules, biopharmaceuticals and energy, and to decontaminate land and air. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in the plant sciences.

Why study Computational Science and Psychology?

Would you like to model the creation and retrieval of memories? Or simulate the how certain drugs interact with the body and brain? What if you could monitor social behaviours across the population and over time? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Psychology is the scientific study of how people behave, think and feel. Processing data and creating complex models is essential to understanding brain function, memory, higher cognition, social behaviour and many other areas of this broad discipline. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in psychology.

Why study Computational Science and Statistics?

Would you like to improve medical treatments through better experimental design? Or model historical and future droughts using meteorological data? What if you could make principled predictions and decisions about the stock market? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Statistics provides the mathematical language and techniques necessary for understanding and dealing with chance and uncertainty in nature. It involves the design, collection, analysis and interpretation of numerical data, with the aim of extracting patterns and other useful information In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in statistics.

Why study Computational Science and Zoology?

Would you like to model how environmental changes will affect animal evolution and diversity? Or simulate the development of an evolutionary lineage over time? What if you could create ways to efficiently categorise newly discovered organisms? Computational Science is an interdisciplinary field which uses skills from mathematics and information technology to tackle real-world scientific problems which can only be solved through computation. Zoology is a branch of biology that deals with the scientific study of animals. Understanding animal evolution and diversity is fundamental to the field, and computational analysis provides insight into aspects including morphology, genetics, behaviour, ecology and biochemistry. In this dual major, you will learn to construct realistic mathematical models and simulations, perform quantitative analysis of scientific problems using computers, and develop skills to solve real challenges in zoology.

## 1st Year Study Planner

What do the different requirements mean?

**Compulsory for program**– all BSc students must complete this course**Prerequisite for major**– course required for this major**Recommended**– other science course which complements the major, but can be substituted for an elective**Elective**- choose a Level 1 course that interests you

SCIE1000 Theory & Practice in Science | Prerequisite for major |

MATH1051 Calculus & Linear Algebra I^{1} |
Recommended |

Elective | Select from a major list^{2} |

Elective | Select from a major list^{2} |

STAT1201 Analysis of Scientific Data | Compulsory for BSc |

CSSE1001 Introduction to Software Engineering I | Recommended |

Elective | Select from a major list^{2} |

Elective | Select from a major list^{2} |

1. Students without Queensland Senior Maths C should complete MATH1050 before MATH1051.

2. You must combine this Major with another single Major. You must select the prerequisite courses from the other single Major as in these places.

## 2nd & 3rd Year Study Planner

Please refer to the course list (this changes for each major) to ensure you complete the major requirements.

What do the different columns mean?

**Sem**- Semester**Compulsory courses**– compulsory for the major.**Key courses**– electives from the major's course list.**Recommended courses**– complements the major.

Choose a study plan:

- Computational Science & Biomedical Science (Dual Major) - Neuroscience Area
- Computational Science & Genetics (Dual Major) - Molecular Genetics
- Computational Science & Geographical Science (Dual Major)
- Computational Science & Geological Science (Dual Major)
- Computational Science & Mathematics (Dual Major)
- Computational Science & Physics (Dual Major)
- Computational Science & Psychology (Dual Major) - Cognitive Neuroscience
- Computational Science & Psychology (Dual Major) - Cognitive Psychology
- Computational Science & Statistics (Dual Major)

### Computational Science & Biomedical Science (Dual Major) - Neuroscience Area

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics BIOL2200 Cell Structure & Function BIOM2011 Cell & Tissue Biology |
– | MATH2000 Calculus & Linear Algebra II^{1}STAT2003 Probability & Statistics STAT2201 Analy of Eng & Sci Data |

2 | BIOM2012 Systems Physiology COSC2500 Num Meth in Computational Sci |
– | BIOL2202 Genetics MATH2000 Calculus & Linear Algebra II ^{1}MATH2100 Applied Mathematical Analysis BIPH2000 Foundations of Biophysics |

Sem | Compulsory Courses Complete all courses |
Key Courses Choose at least #6 from: |
Recommended Courses |
---|---|---|---|

1 | NEUR3001 Molecular & Cell Neuroscience | BIOM3401 Systems Pharmacology COSC3000 Visualization & Graphics ^{2} |
MATH3101 Bifurcation and Chaos MATH3104 Mathematical Biology |

2 | BIOM3200 Biomedical Science NEUR3002 The Integrated Brain |
ANAT3022 Functional Neuroanatomy (Psyc) COSC3500 High-Performance Computing ^{2}DEVB3001 Developmental Neurobiology |
– |

1. This course is available in semester 1 and 2.

2. You must include COSC3000 and COSC3500 as part of the #6 required from the Key Courses.

### Computational Science & Genetics (Dual Major) - Molecular Genetics

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses #2 for: |
Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics BIOC2000 Biochem & Molecular Biology |
_ | BIOL2006 Biostatistics BIOL2200 Cell Structure & Function |

2 | BIOL2202 Genetics COSC2500 Num Meth in Computational Sci |
MICR2000 Microbiology & Immunology | BIOM2208 Differentiation & Development |

Sem | Compulsory Courses Complete all courses |
Key Courses Choose at least #8 from: |
Recommended Courses |
---|---|---|---|

1 | BIOL3004 Genomics & Bioinformatics | COSC3000 Visualization & Graphics^{1}MICR3003 Molecular Microbiology plus one from BIOL3006 Molecular Cell Biology DEVB3002 Molecul Mechanisms of Develop |
– |

2 | BIOL3222 Advanced Genetics | BIOC3003 Human Molecula Genetic & Disea COSC3500 High-Performance Computing ^{1} |
– |

1. Students must complete COSC3000 and COSC3500 as part of the #10 required for the key courses.

### Computational Science & Geographical Science (Dual Major)

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses #6 for: |
Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics | GEOM2000 Introduction to Remote Sensing GEOM2001 Geographical Info Systems |
GEOS2100 Environmental Systems |

2 | COSC2500 Num Meth in Computational Sci | Choose #2 of 2nd year courses from the Geographical Science course list. | – |

Sem | Compulsory Courses Complete all courses |
Key Courses #10 for: |
Recommended Courses |
---|---|---|---|

1 | – | COSC3000 Visualization & Graphics | – |

2 | GEOS3102 Global Change: Prob & Prosp | COSC3500 High-Performance Computing GEOM3001 Adv Remote Sensing of Environ GEOM3002 Advanced GIS GEOM3005 Computing in GIS |
– |

### Computational Science & Geological Science (Dual Major)

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics ERTH2004 Structural Geology ERTH2005 Mineralogy ERTH2050 Field Geology |
– | – |

2 | COSC2500 Num Meth in Computational Sci | – | MATH2000 Calculus & Linear Algebra II^{1}MATH2100 Applied Mathematical Analysis |

Sem | Compulsory Courses Complete all courses |
Key Courses Choose at least #8 from: |
Recommended Courses |
---|---|---|---|

1 | ERTH3001 Ore Deposits & Explor Geology ERTH3020 Introduction to Geophysics |
COSC3000 Visualization & Graphics Plus #4 of 3rd year courses from the Geological Sciences course list |
PHYS3071 Computational Physics |

2 | – | COSC3500 High-Performance Computing | – |

1. This course is available in semester 1 and 2.

### Computational Science & Mathematics (Dual Major)

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses Choose at least #6 from: |
Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics | MATH2000 Calculus & Linear Algebra II^{1}STAT2003 Probability & Statistics |
CSSE2002 Programming in the Large |

2 | COSC2500 Num Meth in Computational Sci | MATH2100 Applied Mathematical Analysis STAT2004 Statistical Model. & Analysis |
INFS2200 Relational Database Systems |

Sem | Compulsory Courses Complete all courses |
Key Courses #10 for: |
Recommended Courses |
---|---|---|---|

1 | – | COSC3000 Visualization & Graphics Plus choose #6 of 3rd year courses from the Mathematics course list |
– |

2 | MATH3500 Problems & Applications | COSC3500 High-Performance Computing | – |

1. This course is available in semester 1 and 2.

### Computational Science & Physics (Dual Major)

YYou can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics PHYS2020 Thermodyn & Condensed Matter PHYS2055 Intro to Fields in Physics |
– | MATH2000 Calculus & Linear Algebra II^{1} |

2 | COSC2500 Num Meth in Computational Sci PHYS2041 Quantum Physics |
– | MATH2100 Applied Mathematical Analysis PHYS2100 Dynamics, Chaos & Special Rela |

Sem | Compulsory Courses Complete all courses |
Key Courses #10 for: |
Recommended Courses |
---|---|---|---|

1 | – | COSC3000 Visualization & Graphics PHYS3040 Quantum Physics PHYS3051 Fields in Physics |
PHYS3071 Computational Physics |

2 | PHYS3900 Perspectives in Physics | COSC3500 High-Performance Computing PHYS3020 Statistical Mechanics |
PHYS3825 Experimental Design |

1. This course is available in semester 1 and 2.

### Computational Science & Psychology (Dual Major) - Cognitive Neuroscience

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics PSYC2010 Psychological Res Method II ^{1}PSYC2020 Neuroscience for Psychologists ^{1}PSYC2050 Learning & Cognition ^{1} |
– | CSSE2002 Programming in the Large^{1} |

2 | COSC2500 Num Meth in Computational Sci | – | INFS2200 Relational Database Systems |

Sem | Compulsory Courses Complete all courses |
Key Courses #10 for: |
Recommended Courses |
---|---|---|---|

1 | PSYC3020 Principles of Psych Assessment^{1} |
COSC3000 Visualization & Graphics PSYC3262 Evolutionary Approach to Psych |
PSYC3222 Psychophysiol: Method & Applic |

2 | – | COSC3500 High-Performance Computing PSYC3272 Social Neuroscience |
COMP3702 Artificial Intelligence |

1. This course is available in semester 1 and 2.

### Computational Science & Psychology (Dual Major) - Cognitive Psychology

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics PSYC2010 Psychological Res Method II ^{1}PSYC2020 Neuroscience for Psychologists ^{1}PSYC2050 Learning & Cognition ^{1} |
– | CSSE2002 Programming in the Large^{1} |

2 | COSC2500 Num Meth in Computational Sci | – | INFS2200 Relational Database Systems |

Sem | Compulsory Courses Complete all courses |
Key Courses #10 for: |
Recommended Courses |
---|---|---|---|

1 | PSYC3020 Principles of Psych Assessment^{1} |
COSC3000 Visualization & Graphics PSYC3172 Basic Processes in Cognition |
– |

2 | – | COSC3500 High-Performance Computing PSYC3052 Judgment & Decision-Making PSYC3192 Perception & Attention |
COMP3702 Artificial Intelligence |

1. This course is available in semester 1 and 2.

### Computational Science & Statistics (Dual Major)

You can find details about the first year of the program here.

Sem | Compulsory Courses Complete all courses |
Key Courses | Recommended Courses |
---|---|---|---|

1 | SCIE2100 Intro to Bioinfomatics MATH2001 Advanced Calculus & Linear Algebra STAT2003 Probability & Statistics |
– | – |

2 | COSC2500 Num Meth in Computational Sci STAT2004 Statistical Model. & Analysis |
– | – |

Sem | Compulsory Courses Complete all courses |
Key Courses #4 for: |
Recommended Courses |
---|---|---|---|

1 | STAT3001 Mathematical Statistics STAT3003 Experimental Design |
COSC3000 Visualization & Graphics | – |

2 | STAT3004 Prob Models & Stochastic Proc STAT3500 Modern Statistics |
COSC3500 High-Performance Computing | – |

1. This course is available in semester 1 and 2.

## Careers in Computational Science

Computational scientists work as theorists, researchers and inventors. Their jobs involve a high level of theoretical expertise and innovation applied to complex problems and the creation or application of new technology.

Areas include: genome research, molecular and microbial sciences, and bioinformatics; scientific research and analysis in biology, mathematics, computer science, visualisation and computational methods; and construction and maintenance of large scale simulations and models, especially in the business, finance, engineering and government sectors.

Training in a particular science major does not restrict your career prospects, as the computational skills you will learn are widely applicable. Many graduates with computational science skills often end up working in different areas. For examples, graduates in physics have found themselves jobs in computational neuroscience, bioinformatics, the electricity industry, and in scientific visualisation.

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