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

If you want to explore the cutting edge of research in computing and gain skills that will enable you to development software that tackles complex problems then you are looking at the right degree.

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

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.

You’ll work alongside distinguished researchers at ANU and pursue research projects in your own area of interest.

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

Statistics opens the door to understanding our world through the exploration of data and the modelling of uncertainty. The need for statistics is growing rapidly as our ability to collect massive amounts of data outruns our ability to understand and use the data we collect. Hal Varian, Chief Economist at Google, declared that “the sexy job in the next ten years will be statisticians”, as the challenge of understanding large, complex data structures mounts. It is estimated that 2.5 exabytes of data is generated every single day, with the accumulated amount of data doubling every 18 months, and that 90% of all data ever gathered was produced within the last two years. What’s more, statistics is critical for every discipline for which data play a role, and in responding to the world’s biggest challenges such as climate change, terrorism, health and medicine, and global economic conditions. Some of the world’s largest employers of statisticians include Google and Facebook as well as governments, financial institutions, medical and pharmaceutical industries, universities and many other sectors. By completing a BStat at ANU, you stand ready to meet humanity’s biggest challenges by understanding the world we observe through the eyes of data and statistical and probability modelling.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Employment Opportunities

Innovative solutions come to those working in R&D. Graduates can choose to work in ICT R&D in the public or private sector, and in academia.

They can work across a range of industries in a variety of roles. Examples include:

  • Data Mining Specialist
  • Big Data Analyst
  • Human-Computer Interaction Specialist,
  • Software Developer
  • Embedded systems developer
  • Network Architect
  • Systems Analyst
  • Computer Engineer
  • Advanced Software Solutions Engineer
  • Software Architect

Our graduates work in many organisations including:

  • IBM
  • Google
  • Microsoft
  • Yahoo
  • Intel
  • Price Waterhouse Coopers
  • Accenture Australia
  • Bloomberg
  • National Australia Bank
  • Citigroup
  • Deloitte
  • Unisys
  • Australian Government (Australian Taxation Office, Reserve Bank of Australia, Department of Broadband, Communication and the Digital Economy, etc.)

Innovative solutions come to those working in R&D. Graduates can choose to work in ICT R&D in the public or private sector, and in academia.

They can work across a range of industries in a variety of roles. Examples include:

  • Data Mining Specialist
  • Big Data Analyst
  • Human-Computer Interaction Specialist,
  • Software Developer
  • Embedded systems developer
  • Network Architect
  • Systems Analyst
  • Computer Engineer
  • Advanced Software Solutions Engineer
  • Software Architect

Our graduates work in many organisations including:

  • IBM
  • Google
  • Microsoft
  • Yahoo
  • Intel
  • Price Waterhouse Coopers
  • Accenture Australia
  • Bloomberg
  • National Australia Bank
  • Citigroup
  • Deloitte
  • Unisys
  • Australian Government (Australian Taxation Office, Reserve Bank of Australia, Department of Broadband, Communication and the Digital Economy, etc.)

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 a deep understanding of the fundamentals of research methodologies, including defining research problems, background reading and literature review, designing experiments, and effectively communicating results

  10. Proficiently apply research methods to the solution of contemporary research problems in computer science, and

  11.  Demonstrate an understanding of research processes including research proposals, article reviewing and ethics clearance.

  1. Review and synthesise a broad range of statistical knowledge from their chosen major
  2. Use the R statistical computing language to carry out a wide variety of statistical tasks
  3. Carry out model selection in a multiple linear regression modelling context
  4. Describe the concepts of stochastic processes in discrete and continuous time
  5. Describe and interpret probability theory, continuous random variables, and sampling distributions and the central limit theorem
  6. Analyse programming problems to suggest, design and implement appropriate modular program structures, based on a data-directed approach.   

Further Information

The Bachelor of Advanced Computing (Research & Development) is a four year program that is accredited by the Australian Computing Society. The program has been specifically designed to provide exceptional students with early experience in undertaking research and or development. The program combines a strong foundation in computer science and mathematics, a specialty advanced computing curricula unique to the ANU, and a project based, research intensive course of study, also unique to the ANU. It provides ample scope for the student to pursue research in individual areas of interest, working with researchers of international distinction in the areas of computer science, engineering and mathematics.

A graduate of the program will have a solid grounding in the fundamentals of computing and relevant mathematics, expertise in the software development process, technical knowledge in a selection of contemporary and advanced ICT topics, and a solid experience in research methods in the ICT area.


Students are required to maintain high grades to remain and complete this program. Students who are unable to maintain these grades may transfer into the Bachelor of Advanced Computing (Honours) degree program which also has many research and development opportunities.


A graduate of the program will have the skills, knowledge and capability to go onto advanced research programs in Computer Science and related areas, and have the potential to become innovators and leaders in the Information Communication Technology (ICT) discipline


Program Transfers

Current students wishing to transfer into the Bachelor of Advanced Computing (Research & Development) are required to achieve at least an 80% average in the university courses they have completed and be deemed suitable by an interview with the program convenor. Generally students would need to transfer into the program before the end of their second year.

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 Bachelor of Advanced Computing (Research & Development) is a four year program that is accredited by the Australian Computing Society. The program has been specifically designed to provide exceptional students with early experience in undertaking research and or development. The program combines a strong foundation in computer science and mathematics, a specialty advanced computing curricula unique to the ANU, and a project based, research intensive course of study, also unique to the ANU. It provides ample scope for the student to pursue research in individual areas of interest, working with researchers of international distinction in the areas of computer science, engineering and mathematics.

A graduate of the program will have a solid grounding in the fundamentals of computing and relevant mathematics, expertise in the software development process, technical knowledge in a selection of contemporary and advanced ICT topics, and a solid experience in research methods in the ICT area.


Students are required to maintain high grades to remain and complete this program. Students who are unable to maintain these grades may transfer into the Bachelor of Advanced Computing (Honours) degree program which also has many research and development opportunities.


A graduate of the program will have the skills, knowledge and capability to go onto advanced research programs in Computer Science and related areas, and have the potential to become innovators and leaders in the Information Communication Technology (ICT) discipline


Program Transfers

Current students wishing to transfer into the Bachelor of Advanced Computing (Research & Development) are required to achieve at least an 80% average in the university courses they have completed and be deemed suitable by an interview with the program convenor. Generally students would need to transfer into the program before the end of their second year.

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

ATAR:
99
QLD Band:
1
International Baccalaureate:
42

Pathways

Bachelor of Advanced Computing (Honours) might be a pathway for students who meet the Maths pre-requisites but do not have the required score for direct entry into this program.

Eligible students should enrol into Bachelor of Advanced Computing (Honours) and if they can maintain a High Distinction average in their first year, they may be approved to transfer into the R&D program in their second year.

Prerequisites

ACT: Specialist Mathematics (Major/Minor)/Specialist Methods(Major/Minor), NSW: Mathematics Extension 1. More information about interstate subject equivalencies can be found here.

ACT:  Specialist Mathematics (Major/Minor) (160+)/Specialist Methods(Major/Minor) (160+), NSW: Mathematics Extension 1 (Band E3) or equivelant. More information about interstate subject equivalencies can be found here.

Adjustment Factors

ANU offers rank adjustments for a number of adjustment factors, including for high achievement in nationally strategic senior secondary subjects and for recognition of difficult circumstances that students face in their studies. Rank adjustments are applied to Bachelor degree applicants with an ATAR at or above 70. Points are awarded in accordance with the approved schedules, and no more than 15 points (maximum 5 subject/performance-based adjustments, maximum 10 equity-based adjustments and maximum 5 Elite Athlete adjustments) will be awarded. Please note that Adjustment Factors vary and do not apply to a select few programs,  please visit the ANU Adjustment Factors website for further information.

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

Bachelor of Statistics - Commonwealth Supported Place (CSP)

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

Annual indicative fee for international students
$46,080.00

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 (Research and Development) (Honours) flexible double degree component requires completion of 144 units, of which:

 

A maximum of 60 units may come from completion of 1000-level courses

12 units count towards the requirements of the other double degree component

 

The 144 units must include:

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

COMP1130 Programming as Problem Solving (Advanced)

COMP1140 Structured Programming (Advanced)

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

COMP2550 Advanced Computing R&D Methods

COMP2560 Studies in Advanced Computing R&D

COMP3600 Algorithms

COMP3770 Individual Research Project (12 units)

MATH1005 Discrete Mathematical Models

 

6 units from completion of course from the following list:

MATH1013 Mathematics and Applications 1

MATH1115 Advanced Mathematics and Applications 1

 

6 units from completion of course from the following list:

MATH1014 Mathematics and Applications 2

MATH1116 Advanced Mathematics and Applications 2

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

 

24 units from completion of one of the following specialisations:

Machine Learning

Artificial Intelligence

Systems and Architecture

Theoretical Computer Science

 

24 units from completion of COMP4550 Advanced Computing Research Project

The Bachelor of Statistics 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 consist of:

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

Applied Statistics

Probability and Stochastic Processes

Statistical Data Analytics

Theoretical Statistics

 6 units from completion of the following compulsory courses:

STAT2005 Introduction to Stochastic Processes

 6 units from completion of an introductory statistics course from the following list:

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

6 units from completion of an introductory mathematical statistics course from the following list:

STAT2001 Introductory Mathematical Statistics

STAT2013 Introductory Mathematical Statistics for Actuarial Studies

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

STAT2008 Regression Modelling

STAT2014 Regression Modelling for Actuarial Studies

 6 units from completion of an introductory computing course from the following list:

COMP1100 Programming as Problem Solving

COMP1730 Programming for Scientists

 12 units from completion of an introductory mathematics 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

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

MATH2301 Games, Graphs and Machines

MATH3511 Scientific Computing

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.

Students enrolled in Bachelor of Statistics/Bachelor of Actuarial Studies degree will need to enrol in STAT2013 and STAT2014, instead of STAT2001 and STAT2008.

Students enrolled in Bachelor of Statistics/Bachelor of Advanced Computing (Hons) degree will need to enrol in MATH1115 and MATH1116, instead of MATH1013 and MATH1014. Also, in the Bachelor of Statistics, these students should replace COMP1100 with an elective, as they will completing COMP1130 in the BAC (Hons) degree, which is an incompatible course

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 Advanced Computing (Research and Development) (Honours) Majors

Minors

Bachelor of Statistics Minors

Bachelor of Advanced Computing (Research and Development) (Honours) Minors

Specialisations

Bachelor of Advanced Computing (Research and Development) (Honours) Specialisations

Study Options

Year 1 COMP1130 Programming as Problem Solving (Advanced) 6 units MATH1005 Discrete Mathematical Models 6 units MATH1115 Advanced Mathematics and Applications 1 6 units OR MATH1013;
COMP1140 Structured Programming (Advanced) 6 units COMP1600 Foundations of Computing 6 units MATH1116 Advanced Mathematics and Applications 2 6 units OR MATH1014;
Year 2 COMP2100 Software Design Methodologies 6 units COMP2550 Advanced Computing R&D Methods 6 units COMP2300 Computer Organisation and Program Execution 6 units
COMP2120 Software Engineering 6 units COMP2310 Systems, Networks and Concurrency 6 units COMP2560 Studies in Advanced Computing R&D 6 units
Year 3 COMP2420 Introduction to Data Management, Analysis and Security 6 units Computing Research Specialisation 6 units
COMP3600 Algorithms 6 units Computing Research Specialisation 6 units
Year 4 COMP3770 Individual Research Project 6 units Computing Research Specialisation 6 units
COMP3770 Individual Research Project 6 units Computing Research Specialisation 6 units
Year 5 COMP4550 Advanced Computing Research Project 12 units COMP4550
COMP4550 Advanced Computing Research Project 12 units COMP4550

Honours

Students may proceed to the fourth honours year in Statistics. Entry to the honours year program is subject to an appropriately high average grade (generally distinction level or above) in the 3000-level compulsory subjects described in the course listings and requires the approval of College. Other conditions may also apply. Students who are interested in the honours program should seek further advice from the Convenor of the Program in the Research School of Finance, Actuarial Studies and Applied Statistics.

Back to the Bachelor of Advanced Computing (Research and Development) (Honours) page

As a high-achieving student in the Bachelor of Advanced Computing (Research & Development) (Honours)  (BAC(R&D)) degree you have chosen a unique degree. You will study to become an innovator and a future leader of the ICT revolution by undertaking research with some of the world's leading researchers.  You will undertake an accelarated mode of learning, develop a strong foundation in core computer science and be provided with the tools to develop the next generation of computing applications.

The BAC can be taken as a single degree which inlcudes a number of core and compulsory courses. The single degree also offers 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.

The BAC(R&D) can also be taken as a part of many double degrees. You may not be able to complete a major in a computing discipline but a minor might be possible. You will be able to specialise in other areas as part of the ‘other half’ of your double degree.

Single degree

  • This degree requires 192 units (each course is typically 6 units)
  • Typically you will study four courses per semester (total of 24 units)

Double degree

  • This degree requires 144 units (each course is typically 6 units)
  • Typically you will study four courses per semester (total of 24 units)
  • You will complete a Research and Development major (48 units)
  • There are no university electives in the double degree
  • You can find your double degree with BAC(R&D) from Program and Courses


About this degree

  • Typically you will study 4 courses per semester (total of 24 units) as a full time student giving you a total of 24 courses across your whole degree.
  • The degree comprises compulsory requirements, additional computing electives, research and development projects, internship and electives in the single degree.
  • There are no electives in the double degree but you still may be able to study a computing specialisation (24 units).
  • In your first year in the double degree, MATH1115 and MATH1116 must be taken as part of the other half of your degree unless otherwise specified.

Enrolment Status

While it is possible to enrol in fewer courses per semester, which is called studying part-time, it will take you longer to finish your program and get your degree. If you are an international study you must always be full-time.

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

  • IF YOU ARE COMMENCING IN JULY YOU SHOULD SEND AN EMAIL TO <studentadmin.cecs@anu.edu.au> FOR ADVICE ABOUT YOUR ENROLMENT OR YOU SHOULD ATTEND AN ENROLMENT ADVICE SESSION AT THE UNIVERSITY IN THE WEEK BEFORE SEMESTER COMMENCES.

  • As the BAC(R&D) is an advanced degree, you will study both first and second year courses in your first year. First year courses are typically '1000-level' courses ie start with '1' while second year courses typically start with '2'. 
  • Students doing double degrees with business degrees do STAT1008 in place of STAT1003 and take an additional Computing elective.
  • You need to enrol in courses for both First Semester and Second Semester
  • You can't 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) towards your single degree or six 1000-level courses (36 units) towards your BAC(R&D) half of the double degree.



Study Options

Bachelor of Advanced Computing (Research & Development) (Honours)

Study Options

Year 1 48 units COMP1130 Programming as Problem Solving (Advanced) 6 units MATH1005 Discrete Mathematical Models 6 units MATH1115 Advanced Mathematics and Applications 1 6 units OR MATH1013; University Elective
COMP1140 Structured Programming (Advanced) 6 units COMP1600 Foundations of Computing 6 units MATH1116 Advanced Mathematics and Applications 2 6 units OR MATH1014; University Elective

Bachelor of Advanced Computing (Research & Development) (Honours)

Study Options

Year 1 48 units COMP1130 Programming as Problem Solving (Advanced) 6 units MATH1005 Discrete Mathematical Models 6 units MATH1115 Advanced Mathematics and Applications 1 6 units OR MATH1013; Other Degree course
COMP1140 Structured Programming (Advanced) 6 units COMP1600 Foundations of Computing 6 units MATH1116 Advanced Mathematics and Applications 2 6 units OR MATH1014; Other Degree course

Academic Advice

For assistance, please email: studentadmin.cecs@anu.edu.au

Back to the Bachelor of Statistics page

The Bachelor of Statistics offers a rigorous program of training in the theory and application of statistics. The program involves a core mainstream statistical application and theory, supplemented by studies in specialist streams. You may choose to specialise in any of a number of areas including: Business Statistics, Econometrics, Financial Statistics, Statistical Methodology, Applied Probability and Psychological or Sociological Research Methods.

Single degree

  • This degree requires 24 courses (144 units)
  • A maximum of 10 courses (60 units) of 1000 level courses
  • 16 compulsory courses
  • 8 electives 
Commencing Semester 1:

Semester 1 

  • COMP1100 Intro Prog & Algorithms 6 units
  • MATH1115 Maths and Apps 1 H 6 units
  • STAT1003 Statistical Techniques 6 units
  • Elective Course 6 units

Semester 2 

  • MATH1116 Maths and Apps 2 H 6 units
  • Major Course 6 units
  • Elective Course 6 units
  • Elective Course 6 units

Commencing Semester 2:
Semester 2 

  • STAT1008 Quant Res Methods 6 units
  • COMP1100 Intro Prog & Algorithms 6 units
  • Elective Course 6 units
  • Elective Course 6 units

Double degree

  • This degree requires 16 courses (96 units) of CBE courses
  • A maximum of 8 courses (48 units) of 1000 level CBE courses
  • 16 compulsory courses.
Commencing Semester 1:

Semester 1 

  • STAT1003 Statistical Techniques 6 units
  • MATH1115 Maths and Apps 1 H 6 units

 Semester 2 

  • COMP1100 Intro Prog & Algorithms 6 units
  • MATH1116 Maths and Apps 2 H 6 units


Commencing Semester 2:
Semester 2 




About this degree

Single degree
In a Bachelor of Statistics 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 Statistics 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 Statistics 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.

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 Statistics 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 Statistics

This is a typical study plan for the first year of a student undertaking a Bachelor of Statistics

Study Options

Year 1 48 units COMP1100 Programming as Problem Solving 6 units MATH1115 Advanced Mathematics and Applications 1 6 units STAT1003 Statistical Techniques 6 units Elective course 6 units
MATH1116 Advanced Mathematics and Applications 2 6 units Major Course 6 units Elective course 6 units Elective course 6 units

Bachelor of Statistics - Double Degree

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

Study Options

Year 1 48 units STAT1003 Statistical Techniques 6 units MATH1115 Advanced Mathematics and Applications 1 6 units Degree B course 6 units Degree B course 6 units
COMP1100 Programming as Problem Solving 6 units MATH1116 Advanced Mathematics and Applications 2 6 units Degree B course 6 units Degree B course 6 units

Disciplines

For further information on specific discipline you can:


Academic Advice

At least 24 units from the completion of a sequence from List 3 of the Bachelor of Statistics.  Sequence pre-requisites can be taken in the first year of study.

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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