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.
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
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
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
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
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
- 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
- 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
- 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
- Demonstrate an operational and theoretical understanding of the foundations of computer science including programming, algorithms, logic, architectures and data structures
- Recognise connections and recurring themes, including abstraction and complexity, across the discipline
- Adapt to new environments and technologies, and to innovate
- Demonstrate an understanding of deep knowledge in at least one area of computer science
- Communicate complex concepts effectively with diverse audiences using a range of modalities
- Work effectively within teams in order to achieve a common goal
- 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
- 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
- Proficiently apply research methods to the solution of contemporary research problems in computer science, and
- Demonstrate an understanding of research processes including research proposals, article reviewing and ethics clearance.
- Review and synthesise a broad range of statistical knowledge from their chosen major
- Use the R statistical computing language to carry out a wide variety of statistical tasks
- Carry out model selection in a multiple linear regression modelling context
- Describe the concepts of stochastic processes in discrete and continuous time
- Describe and interpret probability theory, continuous random variables, and sampling distributions and the central limit theorem
- 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 ias 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.
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 ias 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.
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:
- 98
- 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: Mathematical Methods (Major)/Further Mathematics (Major)/Specialist Mathematics/Specialist Methods (Major)
More information about interstate subject equivalencies can be found here .
ACT:
Required:
Mathematical Methods (Major) / Further Mathematics (Major) / Specialist Mathematics/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
A maximum of 5 equity adjustments apply to programs with a minimum selection rank of 98 or higher. Visit to ANU Adjustment Factors website for further information.
Indicative fees
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
- $50,760.00
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
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:
78 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 Construction
COMP2120 Software Engineering
COMP2300 Computer Organisation and Program Execution
COMP2310 Systems, Networks and Concurrency
COMP2420 Introduction to Data Management, Analysis and Security
COMP2550 Computing R&D Methods
COMP2560 Studies in Advanced Computing R&D
COMP3600 Algorithms
COMP3770 Individual Research Project which must be completed twice, in consecutive semesters
6 units from completion of a course from the following list:
MATH1005 Discrete Mathematical Models
MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs
6 units from completion of a course from the following list:
MATH1013 Mathematics and Applications 1
MATH1115 Advanced Mathematics and Applications 1
6 units from completion of a 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:
MACL-SPEC - Machine Learning
ARIN-SPEC - Artificial Intelligence
SYAR-SPEC - Systems and Architecture
THCS-SPEC - Theoretical Computer Science
HCCC-SPEC - Human-Centred and Creative Computing
24 units from completion of COMP4550 Computing Research Project which must be completed twice, in consecutive semesters (12+12 units).
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:
Probability and Stochastic Processes
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.
Minors
Bachelor of Statistics 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 Construction 6 units | COMP2550 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 Computing Research Project (R&D) 6 units | Computing Research Specialisation 6 units | ||
| COMP3770 Computing Research Project (R&D) 6 units | Computing Research Specialisation 6 units | |||
| Year 5 | COMP4550 Computing Research Project 12 units | COMP4550 | ||
| COMP4550 Computing Research Project 12 units | COMP4550 |
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).
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
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.
Semester 1
Semester 2
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 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 StatisticsStudy 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:
- Find information here (http://cbe.anu.edu.au/students/)
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
Please refer to the CBE Fast Track page:
https://www.cbe.anu.edu.au/fasttrack