This is a unique, interdisciplinary program that will prepare you to be a future leader of the information and communications technology revolution.

As a degree accredited by the Australian Computer Society you will not only learn advanced computing techniques and have the opportunity to complete a unique specialisation, but also develop exceptional professional skills including communication and teamwork.

While some of our students are developing code which controls unmanned aerial vehicles, others are busy writing algorithms to mine through Peta-bytes of data. If mastering challenging projects is your thing, the ANU Bachelor of Advanced Computing (Honours) can launch you into a spectacular career.

With a myriad of majors and minors, craft a science degree that is uniquely yours with the ANU Bachelor of Science.

You’ll have the opportunity to experiment in our state-of-the-art laboratories while being mentored by leading scientists. You’ll have the flexibility to go on fieldtrips, take your studies overseas, or try an internship.

Whether your passion lies in marine science or mathematics, physics or psychology, you’ll be able to explore your interests and follow your passions with our most flexible science degree.

Find out more about our science study areas, degree structure, the university experience, career opportunities and student stories on our website .

Get the inside story on what it’s like to be an ANU student by visiting our student blog .

Employment Opportunities

The best computing professionals often have knowledge or a wider field than computing alone. BAC graduates will be ideally positioned to shape their chosen sector of the computing industry now and into the future. They will acquire the skills and knowledge to become leaders in the ICT industry.

Opportunities exist in high tech industries, software start-ups computing research and development as well as specialist computing organisations. Examples include, software developers, data mining specialists for insurance, banking and health sectors, human-computer interaction specialists for software services industries, embedded systems developers for defence, and automotive industries.

The best computing professionals often have knowledge or a wider field than computing alone. BAC graduates will be ideally positioned to shape their chosen sector of the computing industry now and into the future. They will acquire the skills and knowledge to become leaders in the ICT industry.

Opportunities exist in high tech industries, software start-ups computing research and development as well as specialist computing organisations. Examples include, software developers, data mining specialists for insurance, banking and health sectors, human-computer interaction specialists for software services industries, embedded systems developers for defence, and automotive industries.

Learning Outcomes

1. Define and analyse complex problems, and design, implement and evaluate solutions that demonstrate an understanding of the systems context in which software is developed and operated including economic, social, historical, sustainability and ethical aspects.
2. Demonstrate an operational and theoretical understanding of the foundations of computer science including programming, algorithms, logic, architectures and data structures.
3. Recognise connections and recurring themes, including abstraction and complexity, across the discipline.
4. Adapt to new environments and technologies, and to innovate.
5. Demonstrate an understanding of deep knowledge in at least one area of computer science.
6. Communicate complex concepts effectively with diverse audiences using a range of modalities.
7. Work effectively within teams in order to achieve a common goal.
8. Demonstrate commitment to professional conduct and development that recognises the social, legal and ethical implications of their work, to work independently, and self- and peer-assess performance.
9. Demonstrate an understanding of the fundamentals of research methodologies, including defining research problems, background reading and literature review, designing experiments, and effectively communicating results.
10. Apply research methods to the solution of contemporary research problems in computer science.

1. develop, apply, integrate and generate scientific knowledge in educational and professional contexts;
2. use a range of skills and methods to identify, analyse and respond to problems and issues;
3. convey and relate professional and disciplinary information and ideas to diverse audiences in effective and appropriate ways;
4. work and learn in both independent and collaborative ways with others to encompass diverse abilities and perspectives;
5. exercise personal, professional and social responsibility as a global citizen.

Further Information

The computing industry has grown very rapidly in the last 40 years, with various specialized areas requiring advanced computational techniques emerging. The pervasiveness of computers and computer-enabled devices is rapidly becoming established in modern society. Humans are interacting with computers in ever more profound and sophisticated ways. Allied with this, computers are having to act more intelligently in many different contexts. As the scale and complexity of these computer systems increases, so too do challenges in their engineering. As the amount of data increases exponentially, new challenges in the mining and warehousing of information emerge. In all areas of computing, increasingly sophisticated algorithms underpin all of the resulting technologies. The resulting hardware and software systems in these areas are complex; hence a systems engineering perspective on their design and construction is valuable. 

In these areas of computing, another emerging trend is linkages with other disciplines. Valuable perspectives on artificial intelligence are emerging from the study of natural intelligence and biological systems. Psychology is a central element in human-computer interaction. The explosion in the volume and utility of information from bioinformatics is a key driver of large-scale data systems. An engineering approach, with emphasis on both hardware and software, is needed for the design of embedded computing technology. In all cases, reliable and systematic software development remains as a key element.

The Bachelor of Advanced Computing graduate will posses technical knowledge of programming, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics. Professional and practical skills in software development will be gained through a series of courses in software analysis, design and construction, capped off with a group software project, With professional skills developed in the areas of entrepreneurship and management, the graduate will be in a position to apply their in-depth technical knowledge to become innovators in industry.

The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an area of advanced computing and a cognate interdisciplinary area will be ideally positioned to shape the respective sector of the computing industry as it evolves over the near future. This will also imbue a capacity for lifelong learning by exposure to a broader range of perspectives and of ways of studying.

The degree also offers a research pathway for graduates wishing to pursue careers with a high emphasis on research.

Learn more about the degrees offered at the ANU College of Engineering and Computer Science, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College - Visit the College of Engineering and Computer Science website. 

The computing industry has grown very rapidly in the last 40 years, with various specialized areas requiring advanced computational techniques emerging. The pervasiveness of computers and computer-enabled devices is rapidly becoming established in modern society. Humans are interacting with computers in ever more profound and sophisticated ways. Allied with this, computers are having to act more intelligently in many different contexts. As the scale and complexity of these computer systems increases, so too do challenges in their engineering. As the amount of data increases exponentially, new challenges in the mining and warehousing of information emerge. In all areas of computing, increasingly sophisticated algorithms underpin all of the resulting technologies. The resulting hardware and software systems in these areas are complex; hence a systems engineering perspective on their design and construction is valuable. 

In these areas of computing, another emerging trend is linkages with other disciplines. Valuable perspectives on artificial intelligence are emerging from the study of natural intelligence and biological systems. Psychology is a central element in human-computer interaction. The explosion in the volume and utility of information from bioinformatics is a key driver of large-scale data systems. An engineering approach, with emphasis on both hardware and software, is needed for the design of embedded computing technology. In all cases, reliable and systematic software development remains as a key element.

The Bachelor of Advanced Computing graduate will posses technical knowledge of programming, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics. Professional and practical skills in software development will be gained through a series of courses in software analysis, design and construction, capped off with a group software project, With professional skills developed in the areas of entrepreneurship and management, the graduate will be in a position to apply their in-depth technical knowledge to become innovators in industry.

The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an area of advanced computing and a cognate interdisciplinary area will be ideally positioned to shape the respective sector of the computing industry as it evolves over the near future. This will also imbue a capacity for lifelong learning by exposure to a broader range of perspectives and of ways of studying.

The degree also offers a research pathway for graduates wishing to pursue careers with a high emphasis on research.

Learn more about the degrees offered at the ANU College of Engineering and Computer Science, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College - Visit the College of Engineering and Computer Science website. 

Admission Requirements

Pathways

There are a range of pathways available to students for entry into Bachelor of Advanced Computing (Honours):

• ANU: The ANU Bachelor of Information Technology provides a pathway into the Bachelor of Advanced Computing (Honours).
• International agreements/pathways: College of Engineering and Computer Science has a range of articulation agreements with institutions around the world. Students completing the appropriate qualification in these institutions may be approved for entry and credit exemptions towards Bachelor of Advanced Computing (Honours).

Prerequisites

ACT: Mathematical Methods (Major)/Further Mathematics (Major)/Specialist Mathematics/Specialist Methods (Major)

NSW: HSC Mathematics Advanced or equivalent. More information about interstate subject equivalencies can be found here.

There are no formal program prerequisites and many first-year science courses assume little specific knowledge. The exceptions are: 

• For many of the biology majors, chemistry is a requirement, therefore it is recommended that students have at least an ACT minor (but preferably a major) in chemistry, or successful completion of a bridging course in chemistry, or multistrand science in NSW, or equivalent. Chemistry is essential for all later-year courses in the biological streams of biochemistry and cell biology, microbiology and immunology, molecular genetics, animal and human physiology, and some parts of botany and neuroscience. A bridging course is available in February details can be obtained through science.enquiries@anu.edu.au
• CHEM1101: ACT major in Chemistry, or successful completion of a bridging course in chemistry, or multistrand science in NSW, or equivalent, is required. Chemistry is essential for all later-year courses in chemistry. A bridging course is available in February details can be obtained through science.enquiries@anu.edu.au
• MATH1003: Assumed knowledge: ACT Mathematical Methods (major)/Further Mathematics/Specialist Mathematics (major)/ Specialist Methods or NSW HSC Mathematics Advanced or equivalent 
• MATH1005: ACT Mathematical Methods (major)/Further Mathematics/Specialist Mathematics (major)/ Specialist Methods or NSW HSC Mathematics Advanced or equivalent 
• MATH1013: A satisfactory pass in ACT Specialist Mathematics Major - Minor or NSW HSC Mathematics Extension 1 or equivalent. Students with a good pass in ACT Mathematical Methods or NSW HSC Mathematics Advanced or equivalent will be considered 
• MATH1115: A satisfactory pass in ACT Specialist Mathematics double major or NSW HSC Mathematics Extension 2 or equivalent. Students with excellent marks in either ACT Specialist Mathematics major-minor or NSW HSC Mathematics Extension 1 or equivalent may be permitted to enrol 
• PHYS1101: There is a corequisite of MATH1013/1115. See the entries above. There is no formal physics prerequisite but preparation is assumed and recommended. Recommended preparation is - NSW: a high standard in 2 unit physics or a multistrand science; ACT: a high standard in physics (major). 

Adjustment Factors

Adjustment factors are additional points added to an applicant's Selection Rank (for example an applicant's ATAR). ANU offers adjustment factors based on performance and equity principles, such as for high achievement in nationally strategic senior secondary subjects and for recognition of difficult circumstances that students face in their studies. 

Selection Rank adjustments are granted in accordance with the approved schedules, and no more than 15 (maximum 5 subject/performance-based adjustment factors and maximum 10 equity-based adjustment factors) can be awarded. 

You may be considered for adjustment factors if you have:

• applied for an eligible ANU Bachelor degree program
• undertaken Australian Year 12 or the International Baccalaureate
• achieved an ATAR or equivalent at or above 70
• not previously attempted tertiary study.

Please visit the ANU Adjustment Factors website for further information.

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Program Requirements

The Bachelor of Advanced Computing (Honours) flexible double degree component requires completion of 144 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

A minimum of 24 units that come from completion of 4000-level courses from the subject area COMP Computer Science.

The 144 units must include:

48 units from completion of compulsory courses from the following list:

COMP1600 Foundations of Computing

COMP2100 Software Design Methodologies

COMP2120 Software Engineering

COMP2300 Computer Organisation and Program Execution

COMP2310 Systems, Networks and Concurrency

COMP2420 Introduction to Data Management, Analysis and Security

COMP3600 Algorithms

COMP4450 Advanced Computing Research Methods

6 units from completion of course from the following list:

MATH1005 Discrete Mathematical Models

MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs

6 units from completion of course from the following list:

COMP1100 Programming as Problem Solving

COMP1130 Programming as Problem Solving (Advanced)

6 units from completion of course from the following list:

COMP1110 Structured Programming

COMP1140 Structured Programming (Advanced)

24 units from completion of one of the following specialisations:

Artificial Intelligence

Machine Learning

Systems and Architecture

Theoretical Computer Science

Human-Centred and Creative Computing

6 units from completion of further courses from the subject area COMP Computer Science

6 units from completion of further 3000-level or 4000-level courses from the subject area COMP Computer Science

Either:

12 units from completion of 3000-level or 4000-level courses from the subject area COMP Computer Science

 Or:

12 units from completion of courses from the following list:

ENGN3230 Engineering Innovation

VCUG3001 Unravelling Complexity

Either:

6 units from completion of further courses from the subject area COMP Computer Science

 Or:

6 units from completion of courses from the following list:

MATH1013 Mathematics and Applications 1

MATH1014 Mathematics and Applications 2

MATH1115 Advanced Mathematics and Applications 1

MATH1116 Advanced Mathematics and Applications 2

MATH2301 Games, Graphs and Machines

ENGN1211 Discovering Engineering

STAT1008 Quantitative Research Methods

STAT1003 Statistical Techniques

Either:

24 units from completion of COMP4550 Advanced Computing Research Project

 Or:

12 units from COMP4810 Advanced Computing Group Project OR COMP4820 Advanced Computing Internship, AND

12 units from completion of further 3000-level or 4000-level courses from the subject area COMP Computer Science

COMP4801 Final Honours Grade will be used to record the Class of Honours and the Mark. The Honours Mark will be a weighted average percentage mark (APM) calculated by first calculating the average mark for 1000, 2000, 3000 and 4000 level courses. We denote these averages: A1, A2, A3, and A4 respectively. The averages are computed based on all units counted towards satisfaction of degree requirements, excluding electives that are neither COMP courses nor courses that are listed within the degree's named specialisations. Finally these averages are combined using the formula APM = (0.1 X A1) + (0.2 X A2) + (0.3 X A3) + (0.4 X A4).

The APM will then be used to determine the final grade according to the ANU Honours grading scale, found at http://www.anu.edu.au/students/program-administration/assessments-exams/grading-scale.

The Bachelor of Science flexible double degree component requires completion of 96 units, of which:

A maximum of 36 units may come from completion of 1000-level courses

A minimum of 30 units must come from completion of 3000-level courses from the Science course list

A minimum of 6 units must come from completion of quantitative research skills courses from the following list, which may contribute towards meeting the requirements of a major, minor or specialisation in the Bachelor of Science:

BIAN3014 Research Design and Analysis in Biological Anthropology (6 units)

BIOL2001 Introduction to Quantitative Biology (6 units)

BIOL2202 Experimental Design and Analysis in Biology (6 units)

ENVS1003 Introduction to Environmental and Social Research (6 units)

ENVS2002 Environmental Measurement, Modelling and Monitoring (6 units)

PSYC2009 Quantitative Methods in Psychology (6 units)

PSYC3018 Advanced Research Methods (6 units)

Any 1000-, 2000- or 3000- level course from the subject area MATH- Mathematics or STAT- Statistics, with the exception of MATH1042

The 96 units must include:

48 units from completion of one of the following Science majors:

Agricultural Innovation

Astronomy and Astrophysics

Biochemistry

Biodiversity Conservation

Biological Anthropology

Cell & Molecular Biology

Chemistry

Climate Science

Computer Science

Earth Science

Environmental Science

Evolution, Ecology and Organismal Biology

Geography

Human Biology

Human Evolutionary Biology

Indigenous Science and Knowledges

Mathematical Economics

Mathematical Finance

Mathematical Modelling

Mathematics

Resource and Environmental Management

Physics

Psychology

Quantitative Biology

Quantitative Environmental Modelling

Science Communication

Statistics

Sustainability Studies

Water Science

Either:

24 units from the completion of one of the following Science minors / specialisations:

Advanced Chemistry Specialisation

Advanced Mathematics Specialisation

Advanced Physics Specialisation

Advanced Quantitative Biology and Bioinformatics Specialisation

Applied Statistics Minor

Astronomy and Astrophysics Specialisation

Biochemistry Specialisation

Biodiversity Conservation and Management

Biological Anthropology Minor

Biological Neuropsychology Minor

Biology Minor

Biomedical Science Specialisation

Chemistry Minor

Climate Science and Policy Minor

Climate Science Specialisation

Cognitive Psychology Minor

Computer Science Minor

Developmental Psychology Minor

Earth and Marine Science Minor

Earth Physics Specialisation

Environmental Geology Specialisation

Environmental Policy Minor

Evolution and Ecology Specialisation

Forest Science and Policy Minor

Genetics Specialisation

Geochemistry and Petrology Specialisation

Geography Minor

Geophysics and Geology Specialisation

Human Ecology Minor

Marine Science Specialisation

Mathematical Physics Specialisation

Mathematics Minor

Microbiology and Immunology Specialisation

Neuroscience and Physiology Specialisation

Philosophy and Science Minor

Physics Minor

Plant Science Specialisation

Professional Science Engagement Specialisation

Psychology Specialisation

Science Communication Minor

Social Psychology Minor

Soil and Land Management Minor

Sustainable Development Minor

Water Science and Policy Minor

24 units from completion of courses from the Science course list

Or:

48 units from completion of a second Science majors, listed above

A maximum of 12 units from completion of 1000-level courses may contribute towards meeting the requirements of two Science majors with common 1000-level course requirements.

In such cases, an equal number of units must come from the completion of additional courses from the Science course list.

Majors

Bachelor of Science Majors

Minors

Bachelor of Science Minors

Specialisations

Bachelor of Science Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options