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

As a degree accredited by the Australian Computer Society, you will learn advanced computing techniques and have the opportunity to complete a unique specialisation. You will also develop exceptional professional skills including communication and teamwork while completing an Honours degree.

While some of our students are developing code that 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 does it take to start a successful new business, to lead an organisation, to plan and manage a complex project? How do leaders negotiate, resolve conflict, and manage across cultures in the global workplace?

The BBA will answer these questions and, more importantly, help you develop skills to go out and do these things in the real world.

The BBA is flexible so you can build on your strengths. For example, you have a wide choice about how much mathematical content to include in your degree.

Employment Opportunities

The best computing professionals often have knowledge of 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. These employment opportunities include software developers; data mining specialists for insurance, banking and health sectors; human-computer interaction specialists for software services industries; computer vision specialists to develop the next generation of AI and machine learning tools for media companies, and embedded systems developers for defence and automotive industries.

The best computing professionals often have knowledge of 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. These employment opportunities include software developers; data mining specialists for insurance, banking and health sectors; human-computer interaction specialists for software services industries; computer vision specialists to develop the next generation of AI and machine learning tools for media companies, and 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. review, analyse, consolidate and synthesise knowledge, from both Indigenous Australian peoples' and non-indigenous peoples' perspectives, as well as locally and globally
2. demonstrate a broad understanding of management and leadership knowledge with depth in some areas
3. present a clear, coherent and independent exposition of management knowledge and ideas
4. exercise expertise in critical thinking and judgement in identifying and solving problems with intellectual independence
5. demonstrate initiative and judgement in planning, problem solving and decision making in professional practice and/or scholarship
6. adapt knowledge and skills in diverse business contexts
7. demonstrate responsibility and accountability for own learning and professional practice and in collaboration with others within broad parameters
8. employ discipline-based knowledge in transdisciplinary problem-solving

Further Information

The Bachelor of Advanced Computing graduate will possess technical knowledge of programming and the fundamentals of Computer Science, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics within their Specialisation. 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, industry internship or individual research 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 or, if a research project is completed, apply directly to world-leading PhD programs.

The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an 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 ways of studying.

The Bachelor of Advanced Computing graduate will possess technical knowledge of programming and the fundamentals of Computer Science, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics within their Specialisation. 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, industry internship or individual research 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 or, if a research project is completed, apply directly to world-leading PhD programs.

The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an 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 ways of studying.

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 Computing provides a pathway into the Bachelor of Advanced Computing (Honours).
• International agreements/pathways: The College of Engineering, Computing and Cybernetics 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.

VIC: Mathematics Methods or equivalent

QLD: Mathematics Methods or equivalent

TAS: Mathematical methods/Mathematics Specialised/Mathematics 1 and II through U Tas/Both Mathematics 1 and II through UTAS/Both Advanced Calculus and Applications 1A and 1B through UTAS

SA / NT: Mathematical Methods or equivalent

WA: Mathematical Methods or equivalent

IB: Mathematics: Applications and Interpretations HL/Mathematics: Analysis and Approaches SL or HL

Adjustment Factors

Adjustment factors are combined with an applicant's secondary education results to determine their Selection Rank. ANU offers adjustment factors based on equity, diversity, and/or performance principles, such as for recognition of difficult circumstances that students face in their studies.

To be eligible for adjustment factors, you must have:

• achieved a Selection Rank of 70 or more before adjustment factors are applied
• if you have undertaken higher education, completed less than one year full-time equivalent (1.0 FTE) of a higher education program
• applied for an eligible ANU bachelor degree program

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

The 144 units must include:

6 units from completion of a course from the following list:

COMP1100 Programming as Problem Solving (6 units) / COMP1130 Programming as Problem Solving (Advanced) (6 units)

AND

6 units from completion of a course from the following list:

COMP1110 Structured Programming (6 units) / COMP1140 Structured Programming (Advanced) (6 units)

AND

6 units from completion of a course from the following list:

MATH1005 Discrete Mathematical Models (6 units) / MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs (6 units)

AND

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

COMP1600 Foundations of Computing (6 units)

COMP2100 Software Design Methodologies (6 units)

COMP2300 Computer Architecture (6 units)

COMP2310 Systems, Networks and Concurrency (6 units)

COMP2400 Relational Databases (6 units)

COMP3600 Algorithms (6 units)

COMP4450 Computing Research Methods (6 units)

 AND

24 units from the completion of one of the following specialisations:

Artificial Intelligence

Machine Learning

Systems and Architecture

Theoretical Computer Science

Human-Centred and Creative Computing

AND

Either:

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

OR

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

 AND

6 units from completion of courses from the following list:

ENGN1211 Engineering Design 1: Discovering Engineering (6 units)

MATH1013 Mathematics and Applications 1 (6 units)

MATH1014 Mathematics and Applications 2(6 units)

MATH1115 Advanced Mathematics and Applications 1 (6 units)

MATH1116 Advanced Mathematics and Applications 2 (6 units)

MATH2301 Games, Graphs and Machines (6 units)

STAT1003 Statistical Techniques (6 units)

STAT1008 Quantitative Research Methods (6 units)

AND

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

Either:

24 units from completion of COMP4550 Computing Research Project which must be completed twice, in consecutive semesters (12+12 units)

OR

12 units from COMP4500 Software Engineering Team Project which must be completed twice, in consecutive semesters (6+6 units)

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

OR

COMP4820 Advanced Computing Internship (12 units)

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

Honours Calculation

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 calculated based on all courses completed (including fails), that are listed in the program requirements, excluding non-COMP-coded electives, giving NCN and WN a nominal mark of zero. 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 Business Administration flexible double degree component requires completion of 96 units, of which:

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

The 96 units must include:

60 units from completion of the following compulsory courses:

BUSI2025 - International Business (6 units)

BUSN1001 - Business Reporting and Analysis (6 units)

ECON1101 - Microeconomics 1 (6 units)

ECON1102 - Macroeconomics 1 (6 units)

MGMT1003 - Management, People and Organisations (6 units)

MGMT2003 - Business Decision Making (6 units)

MGMT2030 - Human Resource Management and Strategy (6 units)

MGMT2100 - Communication for Business (6 units)

MGMT3021 - Leadership (6 units)

MKTG2004 - Introduction to Marketing (6 units)

12 units from completion of Transdisciplinary courses from the following list:

MGMT3015 - Corporate Strategy (6 units)

MGMT3027 - Entrepreneurship and Innovation (6 units)

Either:

12 units from completion of courses from the following list:

BUSI3024 - Export Business Planning (6 units)

CBEA2001 - Indigenous Perspectives in Business (6 units)

CBEA3001 - College of Business and Economics Special Industry Project (6 units)

CBEA3066 - Global Business Immersion (6 units)

CBEA3070 - ANU College of Business and Economics Internship Program (UG) (6 or 12 units)

12 units from completion of elective courses offered by ANU

Or:

24 units from completion of elective courses offered by ANU

If your flexible double degree is within the College of Business and Economics (for example Commerce and Economics), the below study plan may show the same course twice. If this is the case, you must only do the course once and replace the other course with a University Wide Elective.

For majors and minors offered by the ANU College of Business and Economics, students may count a course towards multiple majors and minors. If a minor is a subset of all stated courses and/or prerequisites for a major, then completion of the major overrides completion of the minor, and only the major is regarded as having been completed. If all courses in a major and/or minor are compulsory courses in the degree, the major and/or minor will not be listed on the transcript.

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options