If you want to find out what drives (and how to work for) companies like Google, Microsoft, Apple or Facebook, you are looking at the right degree.
This is a unique, interdisciplinary education package that will prepare you to be a future leader of the information and communications technology revolution.
You will not only learn advanced computing techniques and have the opportunity to complete a unique major, but also develop exceptional professional skills in areas of entrepreneurship and management.
You’ll work alongside distinguished researchers at ANU and NICTA (National ICT Australia), and pursue research projects in your own area of interest.
While some of our students are flying unmanned aerial vehicles 15,000 kilometres away, others are busy writing algorithms to mine through Petabytes of data. If mastering challenging projects is your thing, the ANU Bachelor of Advanced Computing can launch you into a spectacular career.
Do you want to work on tangible problems such as investigating the economy, monitoring our environment, understanding disease or even improving the next generation of Xbox? Then become an expert in the most important skill for virtually all fields of study – statistics.
ANU Bachelor of Statistics graduates use their rigorous training in core statistical application and theory to deliver crucial insight.
You will be a desired professional in diverse areas including biology, economics, actuarial studies, psychology, physics, archaeology, medicine and information technology. There is always a need for a qualified statistician to make sense of the data.
Google’s Chief Economist agrees that “the sexy job in the next ten years will be statisticians.”
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
- 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
- Recognise the importance of proper collection and management of quantitative information to the scientific process, including appreciation of the importance of data accuracy, verifiability and context.
- Understand, explain and contextualise the importance of quantitative analysis in at least one major area of application.
- Understand the theoretical and mathematical underpinnings of statistical theory and practice.
- Apply data analytic techniques that are appropriate to inquiry context, including demonstrating appreciation for the underlying assumptions and data requirements for these techniques to be valid.
- Communicate the principles and results of data analyses using the language and conventions of the discipline.
- Apply a wide range of statistical testing and estimation techniques, including modern and computer based modelling, in appropriate contexts.
- Develop the skills necessary to critically engage with and evaluate literature on data analysis.
- Explain and convey findings and information from data analysis.
Develop the skills necessary to work independently and collaboratively to collect, process, interpret and represent data and inferential outcomes.
Further Information
The Bachelor of Advanced Computing (Research & Development) is four year program that will be accredited by the Australian Computing Society. It is specifically designed for exceptional students who have an interest in undertaking research and development in either industry or an academic environment. 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, a a familiarity with business aspects of the ICT industry including product innovation and development, technical knowledge in a selection of contemporary and advanced ICT topics, and a solid experience in research methods in the ICT area.
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.
The Bachelor of Advanced Computing (Research & Development) is four year program that will be accredited by the Australian Computing Society. It is specifically designed for exceptional students who have an interest in undertaking research and development in either industry or an academic environment. 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, a a familiarity with business aspects of the ICT industry including product innovation and development, technical knowledge in a selection of contemporary and advanced ICT topics, and a solid experience in research methods in the ICT area.
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.
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).
NSW: HSC Mathematics Extension 1.
ACT: Specialist Mathematics (major/minor) (160+) Recommended Studies: Specialist Mathematics (double major)
NSW: HSC Mathematics Extension 1 with a minimum performance band of E3 Recommended Studies: HSC Mathematics Extensions 2
QLD: Mathematics B and Mathematics C, with a grade of 'H' in each
SA/NT: Mathematics 1 (Double) and Mathematics 2 with a score of at least 15/20 in both subjects
TAS: Mathematics Stage 2 and Mathematics Stage 3 with a score of at least 15/20 in both subjects
VIC: Mathematical Methods 3&4 and Specialist Mathematics 3/4 with at least 36/50 in each subject
WA: Applicable Mathematics and Calculus with a score of at least 72/100
IB: Mathematics (HL) with at least 6
Adjustment Factors
Bonus points to do not apply to programs with an ATAR cutoff of 98 or higher. They do not apply to this program.
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
- $34,944.00
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 156 units, of which:
A maximum of 48 units may come from completion of 1000-level courses
12 units count towards the requirements of the other double degree component
The 156 units must include:
72 units from completion of compulsory courses from the following list:
COMP1130 Introduction to Programming and Algorithms (Advanced)
COMP1140 Introduction to Software Systems (Advanced)
COMP2100 Software Construction
COMP2130 Software Design and Analysis
COMP2300 Introduction to Computer Systems
COMP2310 Concurrent and Distributed Systems
COMP2600 Formal Methods in Software Engineering
COMP3120 Managing Software Development
COMP3600 Algorithms
COMP3630 Theory of Computation
MATH1115 Mathematics and Applications 1 Honours
MATH1116 Mathematics and Applications 2 Honours
6 units from completion of a course from the following list:
COMP3530 Systems Engineering for Software Engineers
VCUG3001 Unravelling Complexity
6 units from completion of a course from the following list:
MGMT3027 Entrepreneurship and Innovation
VCUG2002 Leadership and Influence in a Complex World
ENGN3230 Engineering Innovation
6 units from completion of a course from the following list:
STAT1003 Statistical Techniques
STAT1008 Quantitative Research Methods
48 units from completion of the Research and Development major
18 units from completion of further 3000- and 4000- courses from the subject area COMP Computer Science
Students must achieve a minimum 80% weighted average mark across all compulsory courses in the Bachelor of Advanced Computing (Research and Development) (Honours) component undertaken in each period (Summer/First Semester/Autumn) and (Winter/Second Semester/Spring) in order to continue in the Bachelor of Advanced Computing (Research and Development) (Honours). Students who do not achieve a minimum of 80% weighted average mark will be transferred from the Bachelor of Advanced Computing (Research and Development) (Honours) double degree to the equivalent to the Bachelor of Advanced Computing (Honours) double degree.
Students must achieve a minimum 80% final Honours mark in order to graduate with the Bachelor of Advanced Computing (Research and Development) (Honours). Students who do not achieve a minimum 80% final Honours mark will be transferred to the equivalent Bachelor of Advanced Computing (Honours) double degree.
HONS4700 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 non-COMP electives. 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).
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Actuarial Studies:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Actuarial Studies component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Arts:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Arts component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Asia-Pacific Security:
12 units from completion of courses required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the electives for the Bachelor of Asia-Pacific Security component of this double degree:
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Asia-Pacific Studies:
12 units from completion of courses required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the electives for the Bachelor of Asia-Pacific Studies component of this double degree:
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Biotechnology:
12 units of 3000-level COMP courses required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the requirement to complete “12 units of elective Science courses at 3000/4000 level’ in the Bachelor of Biotechnology
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Business Administration:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Business Administration component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Commerce:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Commerce component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
It is not possible to complete the Professional Accounting requirements in the Bachelor of Commerce in the double degree.
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Economics:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing contribute towards the Bachelor of Economics component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Finance:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Finance component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Genetics:
The completion of STAT1003 Statistical Techniques and COMP1130 Introduction to Advanced Computing I in the Bachelor of Advanced Computing (Research and Development) (Honours)satisfies the requirement to complete STAT1003 Statistical Techniques and COMP1100 Introduction to Programming and Algorithms in the Bachelor of Genetics component
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Pacific Studies:
12 units from completion of courses required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the electives for the Bachelor of Pacific Studies component of this double degree:
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Science:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Science component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Science (Forest Sciences):
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Science (Forest Sciences) component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Science (Psychology):
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Science (Psychology) component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Science (Resource and Environmental Management):
6 units from completion of MATH1115 Mathematics & Applications I Honours in the Bachelor of Advanced Computing (Research and Development) (Honours) satisfies the requirement to complete “6 units from completion of courses from the Science course list” in the Bachelor of Science (Resource and Environmental Management)
6 units from completion of 3000-level COMP courses in the Bachelor of Advanced Computing (Research and Development) (Honours) counts towards the requirement to complete “18 units from completion of 3000-level courses from the subject areas EMSC or ENVS” in the Bachelor of Science (Resource and Environmental Management)
For Bachelor of Advanced Computing (Research and Development) (Honours)/Bachelor of Statistics:
12 units from completion of courses from the following list required for the Bachelor of Advanced Computing (Research and Development) (Honours) contribute towards the Bachelor of Statistics component of this double degree:
MATH1115 Mathematics & Applications I Honours
MATH1116 Mathematics & Applications II Honours
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:
66 units from completion of the following compulsory courses
COMP1100 Introduction to Programming and Algorithms
MATH1115 Mathematics and Applications 1 Honours
MATH1116 Mathematics and Applications 2 Honours
MATH3511 Scientific Computing
STAT2001 Introductory Mathematical Statistics
STAT2008 Regression Modelling
STAT3004 Stochastic Modelling
STAT3011 Graphical Data Analysis
STAT3012 Design of Experiments and Surveys
STAT3013 Statistical Inference
STAT3015 Generalised Linear Modelling
6 units from completion of a core course from the following list:
STAT1003 Statistical Techniques
STAT1008 Quantitative Research Methods
24 units from the completion of a List from List 3 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 CBE List 1 elective.
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
Bachelor of Statistics Majors
Minors
Bachelor of Statistics Minors
Specialisations
Bachelor of Advanced Computing (Research and Development) (Honours) Specialisations
Study Options
| Year 1 | COMP1130 Introduction to Programming and Algorithms (Advanced) 6 units | STAT1003 Statistical Techniques 6 units | MATH1115 Advanced Mathematics and Applications 1 6 units | COMP1100 Introduction to Programming and Algorithms 6 units |
| COMP1140 Introduction to Software Systems (Advanced) 6 units | COMP2600 Formal Methods in Software Engineering 6 units | MATH1116 Advanced Mathematics and Applications 2 6 units | STAT1008 Quantitative Research Methods 6 units | |
| Year 2 | COMP2100 Software Construction 6 units | COMP2550 Advanced Computing R&D Methods 6 units | COMP2300 Introduction to Computer Systems 6 units | STAT2001 Introductory Mathematical Statistics 6 units |
| COMP2130 Software Analysis and Design 6 units | COMP2310 Concurrent and Distributed Systems 6 units | COMP2560 Studies in Advanced Computing R&D 6 units | STAT3004 Stochastic Modelling 6 units | |
| Year 3 | COMP3120 Managing Software Development 6 units | COMP3530 Systems Engineering for Software Engineers 6 units | STAT2008 Regression Modelling 6 units | Sequence Course 6 units |
| COMP3600 Algorithms 6 units | MGMT3027 Entrepreneurship and Innovation 6 units | STAT3011 Graphical Data Analysis 6 units | Sequence Course 6 units | |
| Year 4 | COMP3550 Advanced Computing R&D Project 6 units | COMP3630 Theory of Computation 6 units | MATH3511 Scientific Computing 6 units | STAT3012 Design of Experiments and Surveys 6 units |
| COMP3550 Advanced Computing R&D Project 6 units | COMP 3000/4000 elective 6 units | STAT3015 Generalised Linear Modelling 6 units | Sequence Course 6 units | |
| Year 5 | COMP4550 Advanced Computing Research Project 12 units | COMP4550 | COMP 3000/4000 elective 6 units | STAT3013 Statistical Inference 6 units |
| COMP4550 Advanced Computing Research Project 12 units | COMP4550 | COMP 3000/4000 elective 6 units | Sequence Course 6 units |
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)
- You will complete a Research and Development major (48 units)
- 36 units of electives (six courses). These courses may be used to study another computing major (48 units) or specialisation (24 units), or may be taken from other areas of the university.
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.
Majors and Minors
See available majors and minors for this program
The Research & Development major is a compulsory requirement of both the single and double degrees. You may be able to study a computing major (48 units) or minor/specialisation (24 units) in the single degree. The ATTACHED DOCUMENT has more information about first year courses that are suitable for the majors.
It is not possible to complete a computing major (apart from the R&D major) in a double degree but a specilisation is possible. You do not need to make decisions about minors/specialisations until later in your degree.
Electives
If you are in the single degree, you will have just one university elective to choose. This is in your second semester.
To find
1000-level courses, use the CATALOGUE SEARCH
Suggested electives in your first year can be found in the pdf document that is an attachment in the above section about Majors and Minors.
Some popular choices for electives include: INFS1001, COMP1720, COMP2400. You can use the catalogue search function to find descriptions of these.Study Options
Bachelor of Advanced Computing (Research & Development) (Honours)
Study Options
| Year 1 48 units | COMP1130 Introduction to Programming and Algorithms (Advanced) 6 units | COMP2300 Introduction to Computer Systems 6 units | MATH1115 Advanced Mathematics and Applications 1 6 units | STAT1003 Statistical Techniques 6 units |
| COMP1140 Introduction to Software Systems (Advanced) 6 units | COMP2600 Formal Methods in Software Engineering 6 units | MATH1116 Advanced Mathematics and Applications 2 6 units | Elective course 6 units |
Bachelor of Advanced Computing (Research & Development) (Honours)
Study Options
| Year 1 48 units | COMP1130 Introduction to Programming and Algorithms (Advanced) 6 units | COMP2300 Introduction to Computer Systems 6 units | MATH1115 Advanced Mathematics and Applications 1 6 units | Other Degree course |
| COMP1140 Introduction to Software Systems (Advanced) 6 units | COMP2600 Formal Methods in Software Engineering 6 units | MATH1116 Advanced Mathematics and Applications 2 6 units | 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
- STAT1008 Quant Res Methods 6 units
- Elective Course 6 units
Semester 2
- MATH1116 Maths and Apps 2 H 6 units
- Sequence pre-requisite Course 6 units
- Elective Course 6 units
- Elective Course 6 units
Commencing Semester 2:
Semester 2
- STAT1008 Quant Res Methods 6 units
- Sequence pre-requisite Course 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
- STAT1008 Quant Res Methods 6 units
- Sequence pre-requisite Course 6 units
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.
- 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 in courses up until the end of week 2 of each semester without penalty.
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 Introduction to Programming and Algorithms 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 | Sequence pre-requisite (List 3) 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 | COMP1100 Introduction to Programming and Algorithms 6 units | MATH1115 Advanced Mathematics and Applications 1 6 units | Degree B course 6 units | Degree B course 6 units |
| STAT1003 Statistical Techniques 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/) or
For further course advice, please refer to https://www.cbe.anu.edu.au/students/student-information/get-program-advice/
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 come to an academic advice session at
Melville Hall during Orientation week.
If you are seeking status
(credit) from previous study at another university you will need to
come to an academic advice session at Melville Hall during Orientation
week, and we will help you choose the correct courses for your first
year.