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.

What makes the human brain tick?

Find out with the Bachelor of Science (Psychology), which provides you with a great base in six different areas of psychology: developmental, social, personality, methods, cognition and biological.

In your later year courses, you’ll apply this knowledge and your skills in more specialised areas such as neuroscience, counselling, health and organisational (business) psychology.

Once you’ve completed your third year, you can apply to undertake an Honours year and pursue further postgraduate study. This will allow you to practice as a clinical psychologist.

Find out more about psychology, the 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. Plan and engage in an independent and sustained critical investigation and evaluation of a chosen research topic
2. Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions
3. Engage in critical review of appropriate and relevant information sources
4. Communicate concepts and results clearly and effectively both in writing and orally
5. Record original data and apply statistical or other evaluation processes to original data when appropriate

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

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not guarantee entry into the program.

In line with the university's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors.

The University reserves the right to alter or discontinue its programs and change admission requirements as needed.

Domestic applicants

Before applying for a program, you should review the general information about domestic undergraduate admission to ANU programs and how to apply, and the program-specific information below.

• Applicants with recent secondary education are assessed on:
  • completion of Australian Year 12 or equivalent, and the minimum Selection Rank (from their academic qualifications, plus any adjustment factors) requirement for this program; and
  • co-curricular or service requirement (applies to applicants who complete secondary education in the year prior to commencing at ANU); and
  • English language proficiency; and
  • any program-specific requirements listed below.
• Applicants with higher education study are assessed on:
  • previous higher education studies; or secondary education results if completed less than one full-time equivalent year (1.0 FTE) of a degree; or the result from a bridging or preparatory course; and
  • English language proficiency; and
  • any program-specific requirements listed below.
• Applicants with vocational education and training (VET) study are assessed on:
  • previously completed VET qualifications at AQF level 5 or higher (i.e. a Diploma or above); or secondary education results if the VET qualification is not completed; and
  • English language proficiency; and
  • any program-specific requirements listed below.
• Applicants with work and life experience are assessed on:
  • ATAR or equivalent if secondary education was completed; or the Special Adult Entry Scheme (SAES); or work experience; and
  • English language proficiency; and
  • any program-specific requirements listed below.

International applicants

Applicants who complete a recognised secondary/senior secondary/post-secondary/tertiary sequence of study will be assessed on the basis of an equivalent selection rank that is calculated upon application. A list of commonly observed international qualifications and corresponding admission requirements can be found here. Applicants must also meet any program specific requirements that are listed below.

Diversity factors & English language proficiency  
As Australia's national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe. If required, competitive ranking may further be confirmed on the basis of demonstrating higher-level English language proficiency.

Further information is available for English Language Requirements for Admission

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

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:

54 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

MATH1005 Discrete Mathematical Models

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

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- 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

VCUG3002 Mobilising Research

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 completion of COMP4560 Advanced Computing Project

12 units from completion of further 4000-level or 3000-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 (Psychology) flexible double degree component requires completion of 96 units, of which:

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

The 96 units must include:

60 units from the completion of the following compulsory courses:

PSYC1003 Psychology 1: Understanding Mind, Brain and Behaviour

PSYC1004 Psychology 2: Understanding People in Context

PSYC2001 Social Psychology

PSYC2002 Developmental Psychology

PSYC2007 Biological Basis of Behaviour

PSYC2008 Cognition

PSYC2009 Quantitative Methods in Psychology

PSYC3018 Advanced Research Methods

PSYC3025 Psychopathology Across the Lifespan

PSYC3026 Personality Psychology

18 units from completion of 3000-level courses in the subject area PSYC Psychology

12 units from completion of further 1000-level courses from the Science Course List

6 units from completion of further courses from the Science Course List

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.

Majors

Bachelor of Advanced Computing (Honours) Majors

Minors

Bachelor of Advanced Computing (Honours) Minors

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options