• Length 5 years full-time
  • Minimum 240 Units
Admission requirements
  • Academic plan AACOM / BFINN
  • CRICOS code 079094C
  • UAC code 135010

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.

Do you dream of living and thriving in the leading financial cities of the world - New York, London, Shanghai, Sydney or Hong Kong? Stop dreaming and get going. An ANU Bachelor of Finance will equip you to excel in the global financial marketplace.

As a student you will be challenged to solve a variety of financial problems while developing a keen analytical mind. Having these skills will prove invaluable in the fast changing world of finance.

As a Bachelor of Finance graduate from the Australian National University you will be highly sought-after, so aim high and think about which cityscape view you want from your office.

Career Options

ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.

We have graduated remarkable people from every part of our continent, our region and all walks of life.

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.

  • Recognise the important role of investment and financing decisions, equities, bonds and derivatives in the financial markets.
  • Have an understanding of the three basic ideas underpinning finance: the time value of money; diversification; and, arbitrage and their application to corporate financial decision-making; investment decisions and portfolio management; derivatives and risk management; portfolio construction; corporate valuation; and debt markets.
  • Apply theoretical foundations in practice.
  • Develop the skills necessary to critically engage with and evaluate financial problems.
  • Develop the skills necessary to work independently and collaboratively to collect, process, interpret and communicate the outcomes of financial problems.

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.

ATAR:
85
International Baccalaureate:
31

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:

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.

There are no formal program prerequisites. But assumed knowledge is:-ACT: Mathematical Methods (Major)/Further Mathematics/Specialist Mathematics (major)/ Specialist Methods or 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.

Bachelor of Advanced Computing (Honours) - Commonwealth Supported Place (CSP)

Bachelor of Finance - Commonwealth Supported Place (CSP)

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students
$46,910.00

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

This double degree requires the completion of 240 units.

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 Finance 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:

24 units from completion of the following compulsory courses

BUSN1001 Business Reporting and Analysis

ECON1101 Microeconomics 1

FINM1001 Foundations of Finance

STAT1008 Quantitative Research Methods

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:

BUSN2036 Financial Statement Analysis

EMET1001 Foundations of Economic and Financial Models

MATH1013 Mathematics and Applications 1

MATH1115 Advanced Mathematics and Applications 1

MATH1113 Mathematical Foundations for Actuarial Studies

MKTG2003 Marketing for Financial Services

STAT2032 Financial Mathematics

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

     ECON2101 Microeconomics 2 (P)

     ECON2111 Microeconomics 2 (H)

48 units from completion of one of the following majors:

Asian Capital Markets

Capital Markets

Quantitative Finance

6 units from completion of courses from List 1 of the ANU College of Business and Economics

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 or CBE List 1 elective. 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 Commerce.

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.

Majors

Bachelor of Finance Majors

Bachelor of Advanced Computing (Honours) Majors

Minors

Bachelor of Finance Minors

Bachelor of Advanced Computing (Honours) Minors

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options

Year 1 COMP1100 Programming as Problem Solving 6 units OR COMP1130; MATH1005 Discrete Mathematical Models 6 units Computing Elective 6 units
COMP1110 Structured Programming 6 units OR COMP1140; COMP1600 Foundations of Computing 6 units
Year 2 COMP2100 Software Design Methodologies 6 units COMP2300 Computer Organisation and Program Execution 6 units
COMP2120 Software Engineering 6 units COMP2310 Systems, Networks and Concurrency 6 units Computing Elective 6 units
Year 3 COMP2420 Introduction to Data Management, Analysis and Security 6 units Computing Specialisation Course 6 Units
Computing Elective 3000 or 4000 level<b/>6 Units COMP3600 Algorithms 6 units
Year 4 COMP4450 Advanced Computing Research Methods 6 units Computing Specialisation course 6 units
Computing elective 3000 or 4000 level 6 units Computing elective 3000 or 4000 level 6 units
Year 5 COMP4560 Advanced Computing Project 6 to 12 units Computing Elective course 4000 level 6 units Computing Specialisation course 6 units
COMP4560 Advanced Computing Project 6 to 12 units Computing Elective course 4000 level 6 units Computing Specialisation course 6 units

Honours

Students who excel in the pass degree may be invited to undertake an honours year. The Honours year extends the undergraduate material and focuses on highly complex, analytical and practical problems. Students undertake a program of advanced coursework and a research thesis. Students from other universities are also able to join the Honours Program after completing the pass degree requirements in their own institutions.

Students who are interested in the Honours Program should consult the Honours Convenor in the Research School of Finance, Actuarial Studies & Statistics for advice.

Back to the Bachelor of Advanced Computing (Honours) page

The Bachelor of Advanced Computing (Honours) (BAC) is a unique, interdisciplinary program that will prepare you to be a future leader in technology.

The BAC can be taken as a single degree which includes a number of core and compulsory courses including a computing specialisation. The single degree also offers 48 units (eight courses) of electives that can be taken from additional computing courses (enabling you to complete a further computing major, minor, or specialisation), or from other university courses.

The BAC can also be taken as a part of many Flexible Double Degrees.

Single degree

  • This degree requires a total of 192 units (each course is typically 6 units though some may be 12 units or higher)
  • Typically you will study four courses per semester (total of 24 units)
  • There are a number of core and compulsory courses
  • You will need to complete a computing specialisation
  • 48 units (eight courses) of electives that can be taken from additional computing courses (enabling you to complete a computing major, minor, or specialisation), or from other university courses.
  • You can do a maximum of 60u 1000 level courses in your single degree

Double degree

  • There are no university electives available in the Flexible Double Degree.
  • This degree requires 144 units  of the compulsory Advanced Computing requirements (each course is typically 6 units though some may be 12 units or higher)
  • Typically you will study four courses per semester (total of 24 units)
  • You will need to complete a computing specialisation
  • Typically you can do a maximum of 72u 1000 level courses in your Flexible Double Degree
  • You can find your Flexible Double Degree with the BSEng from Program and Courses

About this degree

  • The degree is made of up compulsory requirements, additional computing electives,  and 48 units (eight courses) of electives
  • In the single degree you have 48 units of university electives (eight courses).  These courses can be used to study more computing courses, or a major or minor from another area of the university including Engineering, or a selection of courses that suits your interests. 
  • In the Flexible Double Degree, you have no university electives - your other degree requirements use up all of these.

Enrolment Status

While it’s possible to enrol in fewer courses per semester, it will take you longer to finish your program and get your degree. There are maximum time limits for completion of the degree on a part-time basis. If you are an international student you must always be full-time.

Important things to keep in mind when choosing your 1000-level courses

  • When you enrol for the first time you will typically study '1000-level' courses. These courses have '1' as the first number in their course code, such as COMP1100.
  • You need to enrol in courses for both First Semester and Second Semester though note that you can change your Semester 2 courses all the way until July.
  • You can’t study more than four courses (24 units) per semester, 48u for the year, and international students cannot study less than 24u a semester expect in exceptional circumstances and with approval.
  • You may take 1000-level courses later in your program. But remember you can’t count more than ten 1000-level courses (60 units) towards your single degree or six 1000-level courses (36 units) towards your BAC half of the Flexible Double Degree.
  • In choosing your first year programming courses you will have a choice of doing COMP1100 or COMP1130 in Semester 1, and COMP1110 and COMP1140 in Semester 2. The standard courses are COMP1100/1110 but if you have a strong maths background, and/or significant programming experience, you might like to choose COMP1130/1140. Note that you choose 1130 you will be able to drop back to 1100 in the first 2 weeks.
  • You should make sure you do MATH1005 and COMP1600 in your first year.

Majors and Minors

See available majors and minors for this program


You will be required to complete a specialisation as a compulsory part of your BAC. 

Electives

If you are in the single degree then in your first year you have two computing electives and two university electives to choose.

  • To find 1000-level (first year) elective courses, use the catalogue search.
  • University electives can be additional computing courses, or courses from anywhere in the university.
  • You have two computing elective to choose in your first year.  One must be a COMP course (eg COMP1720 (S2), COMP1710 (S1) , COMP2400 (S2), or COMP2610(S2)). Your other computing elective could be another COMP course as above, or MATH1013 (S1 or S2), MATH1014, STAT1003 (S1), STAT1008 (S2), ENGN1211 (S1)
  • Courses that can be taken in first year as computing or other electives and that meet your computing specialisation requirements are: COMP2610 (Theory of Computer Science Specialisation), and COMP2400 (Systems Architecture Specialisation). Students should consider these in light of their performance in Semester One computing and maths courses and take them only if they have performed well in 1st semester.
  • If you enjoy and are good at  mathematics and do not plan to do a major from another area of study, then you are encouraged to consider doing the following:
    • Semester 1: MATH1013 Maths and Applications 1, or MATH1115 Maths and Applications 1 (Hons) (only recommended for outstanding maths students)
    • Semester 2: MATH1014 Maths and Applications 2, or MATH1116 Maths and Applications 2 (Hons) (only recommended for outstanding maths students)
  • Suggested university electives in your first year if you are interested in Engineering are: Semester 1 - PHYS1001 or PHYS1101  and Semester 2 – ENGN1218
  • Suggested university electives if you are interested in Information Systems are Semester 1 or 2: INFS1001
  • If you have an interest in another area (eg management, mathematics, psychology, languages) then you should explore first year courses in these areas and in particular, look at the majors and minors in these areas. These will give you an idea of the first year courses that you should study.
  • Students whose first language is not English often find their transition to studying in Australia difficult because the rules and academic practices here are often very different from their home country.  CECS strongly encourages students who have not studied at an Australian university before to complete ESEN1101 - Essential University English as one of their electives in their first year.  This course provides additional English reading, writing and speaking assistance as well as resources to ensure you can apply the required Australian academic style to the rest of your university career (e.g. essay and report structure, oral presentations, critical thinking, avoiding academic integrity breaches like plagiarism).

Study Options

Single Degree

Study Options

Year 1 48 units COMP1100 Programming as Problem Solving 6 units OR COMP1130; MATH1005 Discrete Mathematical Models 6 units Computing Elective University Elective
COMP1110 Structured Programming 6 units OR COMP1140; COMP1600 Foundations of Computing 6 units Computing Elective University Elective

Flexible Double Degree

Study Options

Year 1 48 units COMP1100 Programming as Problem Solving 6 units OR COMP1130; MATH1005 Discrete Mathematical Models 6 units Computing Elective 6 Units Course from other degree
COMP1110 Structured Programming 6 units OR COMP1140; COMP1600 Foundations of Computing 6 units Course from other degree Course from other degree

Back to the Bachelor of Finance page

The Bachelor of Finance offers you a rigorous program of training in the theory and applications of finance. The program involves a core in mainstream finance supplemented by studies in related quantitative techniques, methodologies, economics, and management.

Single degree

  • This degree requires 24 courses (144 units)
  • A maximum of 10 courses (60 units) of 1000 level courses
  • 15 compulsory courses
  • 9 electives (of which 1 must be CBE List 1 elective courses)

Commencing Semester 1:
Semester 1 

Semester 2 

  • ECON1102 Macroeconomics 1 - 6 units
  • FINM2001 Corporate Finance - 6 units
  • Finance Core Course* - 6 units
  • Elective Course - 6 units

Commencing Semester 2:
Semester 2 

Double degree

  • This degree requires 16 courses (96 units) of CBE courses
  • A maximum of 8 courses (48 units) of 1000 level CBE courses
  • 15 compulsory courses
  • 1 CBE List 1 elective courses

Commencing Semester 1:
Semester 1 

  • STAT1008 Quant Res Methods - 6 units
  • FINM1001 Foundations of Finance - 6 units

Semester 2 

Commencing Semester 2:
Semester 2 

  • STAT1008 Quant Res Methods - 6 units
  • FINM1001 Foundations of Finance - 6 units

About this degree

Single degree
In a Bachelor of Finance single degree program you will study a total of 144 units.  Typically you will take 4 courses per semester (total of 24 units) as a full time student giving you a total of 24 courses across your whole degree. You will need to complete a minimum of 16 CBE courses (96 units) but will also get to choose 8 courses (48 units) from other ANU Colleges.  You can try a range of courses or take a major or minor in a non-CBE subject, the choice is yours.

Double degree
In a Bachelor of Finance double degree program you will study a total of 96 units.  Typically you will take 4 courses per semester (total of 24 units) as a full time student giving you a total of 16 courses across your whole degree.  However, for each semester you are likely to take 2 courses from your Finance degree and then 2 courses from the other half of you degree - still a total of 4 courses a semester.



Enrolment Status

It is possible to enrol in fewer courses per semester but it will take you longer to finish your program and get your degree. If you are an international student you must always be enrolled full-time in 24 units each semester.


Important things to keep in mind when choosing your 1000-level courses

When you enrol for the first time you will study ‘1000-level’ courses. These courses have ‘1’ as the first number in their course code, such as BUSN1001.

Please also note that:

  • You need to enrol in courses for both First Semester and Second Semester.
  • In your first year, you cannot study more than four courses (24 units) per semester, eight for the year.
  • You may take 1000-level courses later in your program.   But remember you can’t count more than ten 1000-level courses (60 units) in total towards your single degree.
  • You can change your enrolment via ISIS in courses up until the Monday of Week 2.

Majors and Minors

See available majors and minors for this program

You must choose to major in either Capital Markets, Asian Capital Markets or Quantitative Finance.

Electives

You can use your electives to enrol in any courses that you like, provided you meet prerequisite requirements.

Remember that you can choose up to 8 courses from another ANU College if you are undertaking the single Bachelor of Finance degree.
If you are in a double degree, your electives must be CBE courses.

Don't forget the maximum number of 1000 level courses is 10 in a single degree.



Study Options

Bachelor of Finance (Quantitative Finance major) - Commencing in Semester 1

This is a typical study plan for the first year of a student undertaking a Bachelor of Finance degree with a major in Quantitative Finance

Study Options

Year 1 48 units ECON1101 Microeconomics 1 6 units FINM1001 Foundations of Finance 6 units BUSN1001 Business Reporting and Analysis 6 units STAT1008 Quantitative Research Methods 6 units
Elective course 6 units ECON1102 Macroeconomics 1 6 units FINM2001 Corporate Finance 6 units MATH1113 Mathematical Foundations for Actuarial Studies 6 units

Bachelor of Finance (Capital Markets major) - Commencing in Semester 1

This is a typical study plan for the first year of a student undertaking a Bachelor of Finance degree with a major in Capital Markets

Study Options

Year 1 48 units BUSN1001 Business Reporting and Analysis 6 units ECON1101 Microeconomics 1 6 units FINM1001 Foundations of Finance 6 units STAT1008 Quantitative Research Methods 6 units
ECON1102 Macroeconomics 1 6 units FINM2001 Corporate Finance 6 units EMET1001 or MATH1013 or MATH1115 or MKTG2003 or STAT2032 Elective course 6 units

Single Degree Bachelor of Finance (Asian Capital Markets major) - Commencing in Semester 1

This is a typical study plan for the first year of a student undertaking a Bachelor of Finance degree with a major in Asian Capital Markets

Study Options

Year 1 48 units BUSN1001 Business Reporting and Analysis 6 units ECON1101 Microeconomics 1 6 units FINM1001 Foundations of Finance 6 units STAT1008 Quantitative Research Methods 6 units
ECON1102 Macroeconomics 1 6 units FINM2001 Corporate Finance 6 units Finance core course: EMET1001, MATH1013, MATH1115, MKTG2003 or STAT2032 Elective Course

Bachelor of Finance - Double Degree - Commencing in Semester 1

This is a typical study plan for the first year of a student undertaking a Bachelor of Finance degree with another degree, such as the Bachelor of Arts (degree B)

Study Options

Year 1 48 units FINM1001 Foundations of Finance 6 units STAT1008 Quantitative Research Methods 6 units Degree B course 6 units Degree B course 6 units
BUSN1001 Business Reporting and Analysis 6 units FINM2001 Corporate Finance 6 units Degree B course 6 units Degree B course 6 units

Disciplines

For further information on specific discipline you can:

Academic Advice

One of the degree requirements is to complete either EMET1001, MKTG2003, MATH1013 or MATH1115 or STAT2032.  You may wish to take either EMET1001 or MKTG2003 in your first year.  Alternatively you can enrol in STAT2032 in your second year, and complete an elective in your first year. STAT2032 is recommended for students undertaking the Quantitative Finance major.  If you wish to do the Quantitative Finance major you will need to enrol in MATH1113 in Semester 2.

If after reading through these guidelines you are unsure about your which courses to enrol in, you can email info.cbe@anu.edu.au

If you are seeking status (credit) from previous study at another university you will need to submit a copy of your official transcript, detailed course outlines and a completed credit application form to info.cbe@anu.edu.au

Please refer to the CBE Fast Track page: https://www.cbe.anu.edu.au/fasttrack 

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