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 learn advanced computing techniques, have the opportunity to complete a unique specialisation and 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.

Are you a maths whiz who wants stimulating work, limitless potential and an ever growing salary? This is the esteemed degree that will make you a thought leader in a wide variety of areas. With an ANU Bachelor of Actuarial Studies you can excel in your career literally anywhere in the world.

Risk is all around us - in investment markets, on the roads, from our health and the climate. This degree will teach you how to apply your mathematical talent in understanding, measuring and managing these risks.

Graduates will apply mathematical, statistical, financial, economic and other skills to untangle the most complex and difficult problems facing the commercial world.

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. These employment opportunities include software developers; data mining specialists for insurance, banking and health sectors; human-computer interaction specialists for software services industries; and 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. These employment opportunities include software developers; data mining specialists for insurance, banking and health sectors; human-computer interaction specialists for software services industries; 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. utilise concepts in financial mathematics, including the time value of money, annuities, bond and loan calculations
   
2. interpret the accounts and financial statements of companies and financial institutions.
   
3. describe the fundamental concepts of micro and macroeconomics.
   
4. apply mathematical statistics, regression modeling and other statistical techniques to actuarial problems
   
5. describe and apply stochastic processes, survival models and their application in actuarial contexts
   
6. model and value cashflows dependent on death, survival, illness, retirement, and other contingencies
   
7. apply risk modelling techniques across a variety of financial contexts 

Further Information

The computing industry has grown very rapidly in the last 40 years, with various specialised areas, requiring advanced computational techniques, have emerged. 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 do challenges in their engineering.

As the amount of data collected 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. 

Linkages with other disciplines is an emerging trend within computing. 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.

The computing industry has grown very rapidly in the last 40 years, with various specialised areas, requiring advanced computational techniques, have emerged. 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 do challenges in their engineering.

As the amount of data collected 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. 

Linkages with other disciplines is an emerging trend within computing. 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.

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: 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.

ACT:

Required:

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

Recommended:

Specialist Mathematics/Specialist Methods (Major/Minor)

NSW:

Required:

Mathematics Advanced or equivalent

Recommended:

Mathematics Extension 1 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:

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

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

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

COMP1110 Structured Programming / COMP1140 Structured Programming (Advanced)

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

MATH1005 Discrete Mathematical Models / MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs

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 Computing Research Methods

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

Artificial Intelligence

Human-Centred and Creative Computing

Machine Learning

Systems and Architecture

Theoretical Computer Science

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

Either:

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

Or:

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

AND

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 Computing Research Project which must be completed twice, in consecutive semesters

 Or:

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

AND

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

Or:

COMP4820 Advanced Computing Internship

AND

12 units from the 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 Actuarial Studies 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:

78 units from completion of the following compulsory courses:

ACST3032 Actuarial Data Analysis

BUSN1001 Business Reporting and Analysis

ECON1101 Microeconomics 1

STAT1008 Quantitative Research Methods

STAT2013 Introductory Mathematical Statistics for Actuarial Studies

STAT2005 Introduction to Stochastic Processes

STAT2014 Regression Modelling for Actuarial Studies

STAT2032 Financial Mathematics

STAT3032 Survival Models

STAT3057 Risk Modelling 1

STAT3058 Risk Modelling 2

STAT3037 Life Contingencies

STAT3038 Actuarial Techniques

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

ECON1100 Economics 1 (H)

ECON1102 Macroeconomics 1

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

MATH1013 Mathematics and Application 1

MATH1115 Advanced Mathematics and Application 1

MATH1113 Mathematical Foundations for Actuarial Studies

6 units from the completion of courses on List 1 or List 4 of the ANU College of Business and Economics.

Students may choose to take two MATH courses instead of MATH1113. The options are MATH1013 / MATH1014 or MATH1115 / MATH1116. MATH1013 / MATH1014 is recommended for students with the bare minimum of mathematical background for the Bachelor of Actuarial Studies or for those not confident in their mathematical ability. MATH1115 / MATH1116 is a higher level of MATH1013 / MATH1014 and is recommended for those who are considering further mathematical study. Should two MATH courses be chosen, the elective course position would need to be used for the additional MATH course.

In the requirements of the Bachelor of Actuarial Studies above it is not possible to gain full exemptions from Actuaries Institute Foundation Program requirements as the required FINM courses are not included. However, by including these FINM courses in the other flexible double degree (if the FINM courses meet the requirements of the other degree), or non-award study (i.e., taking more than the standard four courses in some semesters on non-award basis which means you will need to pay full fees for the courses you are overloading) or by using the College of Business and Economics Summer School Program (if available), students may be able to complete their exemptions from the Foundation Program. To facilitate either of these options, it is recommended that students undertake FINM1001 Foundations of Finance as their elective course.

If your flexible double degree is within the College of Business and Economics (for example Commerce and Economics), the suggested 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, CBE List 1 course or CBE List 4 course. Please note that you cannot exceed 8 out of college electives.

The minor in Business and Economics Essentials will not be listed on transcripts for students completing the Bachelor of Actuarial Studies.

The courses on List 4 are equivalent to the university-offered courses under the Actuaries Institute Actuary Program, noting the following:

• The courses can only be enrolled in by students taking a flexible double degree combining a Bachelor of Actuarial Studies and another degree that contains sufficient overlap in courses to free up sufficient elective space.
• Examples of flexible double degrees where these courses can be fit into the degree are the Bachelor of Commerce, Bachelor of Finance and Bachelor of Statistics (this list is not exhaustive).
• These courses have strict academic entry requirements. Further information on entry requirements into these courses can be found on the links to the course pages linked from the List 4 webpage.
• Students considering including List 4 courses into their degree should contact the program convener for further information on study plans, as it is necessary to move courses in the Bachelor of Actuarial Studies to earlier semesters than that of the study plan below, in order to meet the requisites of the List 4 courses.

Minors

Bachelor of Actuarial Studies Minors

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options