This is a unique, interdisciplinary program that will prepare you to be a future leader of the information and communications technology revolution.
As a degree accredited by the Australian Computer Society you will not only learn advanced computing techniques and have the opportunity to complete a unique specialisation, but also develop exceptional professional skills including communication and teamwork.
While some of our students are developing code which controls unmanned aerial vehicles, others are busy writing algorithms to mine through Peta-bytes of data. If mastering challenging projects is your thing, the ANU Bachelor of Advanced Computing (Honours) can launch you into a spectacular career.
At the core of all technological innovations is maths.
If you’d like to master quantitative problem-solving, mathematical modelling and critical thinking, this is the degree for you.
It is an elite, research-focused program for exceptional students at Australia’s highest-ranked university.
Make your mark with maths at ANU: find out more about mathematical studies, the degree structure, the university experience, career opportunities and student stories on our website.
Get the inside story on what it’s like to be an ANU student by visiting our student blog.
This program is not available for Semester 2 commencement.
Career Options
ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.
We have graduated remarkable people from every part of our continent, our region and all walks of life.
Employment Opportunities
The best computing professionals often have knowledge or a wider field than computing alone. BAC graduates will be ideally positioned to shape their chosen sector of the computing industry now and into the future. They will acquire the skills and knowledge to become leaders in the ICT industry.
Opportunities exist in high tech industries, software start-ups computing research and development as well as specialist computing organisations. Examples include, software developers, data mining specialists for insurance, banking and health sectors, human-computer interaction specialists for software services industries, embedded systems developers for defence, and automotive industries.
The best computing professionals often have knowledge or a wider field than computing alone. BAC graduates will be ideally positioned to shape their chosen sector of the computing industry now and into the future. They will acquire the skills and knowledge to become leaders in the ICT industry.
Opportunities exist in high tech industries, software start-ups computing research and development as well as specialist computing organisations. Examples include, software developers, data mining specialists for insurance, banking and health sectors, human-computer interaction specialists for software services industries, embedded systems developers for defence, and automotive industries.
Learning Outcomes
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 an understanding of the fundamentals of research methodologies, including defining research problems, background reading and literature review, designing experiments, and effectively communicating results.
Apply research methods to the solution of contemporary research problems in computer science.
Upon successful completion, students will have the skills and knowledge to:
- Think clearly, sequentially and logically, as demonstrated by the critical analysis of quantitative problems, such as the ability to read, understand and write mathematical proofs.
- Demonstrate mastery of the concepts and techniques of Advanced Mathematics
- Communicate concepts and results clearly and effectively both in writing and orally
- Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions
- Engage in critical review of appropriate and relevant information sources
- Work and learn in both independent and collaborative ways with others to encompass diverse abilities and perspectives.
Further Information
The computing industry has grown very rapidly in the last 40 years, with various specialized areas requiring advanced computational techniques emerging. The pervasiveness of computers and computer-enabled devices is rapidly becoming established in modern society. Humans are interacting with computers in ever more profound and sophisticated ways. Allied with this, computers are having to act more intelligently in many different contexts. As the scale and complexity of these computer systems increases, so too do challenges in their engineering. As the amount of data increases exponentially, new challenges in the mining and warehousing of information emerge. In all areas of computing, increasingly sophisticated algorithms underpin all of the resulting technologies. The resulting hardware and software systems in these areas are complex; hence a systems engineering perspective on their design and construction is valuable.
In these areas of computing, another emerging trend is linkages with other disciplines. Valuable perspectives on artificial intelligence are emerging from the study of natural intelligence and biological systems. Psychology is a central element in human-computer interaction. The explosion in the volume and utility of information from bioinformatics is a key driver of large-scale data systems. An engineering approach, with emphasis on both hardware and software, is needed for the design of embedded computing technology. In all cases, reliable and systematic software development remains as a key element.
The Bachelor of Advanced Computing graduate will posses technical knowledge of programming, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics. Professional and practical skills in software development will be gained through a series of courses in software analysis, design and construction, capped off with a group software project, With professional skills developed in the areas of entrepreneurship and management, the graduate will be in a position to apply their in-depth technical knowledge to become innovators in industry.
The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an area of advanced computing and a cognate interdisciplinary area will be ideally positioned to shape the respective sector of the computing industry as it evolves over the near future. This will also imbue a capacity for lifelong learning by exposure to a broader range of perspectives and of ways of studying.
The degree also offers a research pathway for graduates wishing to pursue careers with a high emphasis on research.
Learn more about the degrees offered at the ANU College of Engineering and Computer Science, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College - Visit the College of Engineering and Computer Science website.
The computing industry has grown very rapidly in the last 40 years, with various specialized areas requiring advanced computational techniques emerging. The pervasiveness of computers and computer-enabled devices is rapidly becoming established in modern society. Humans are interacting with computers in ever more profound and sophisticated ways. Allied with this, computers are having to act more intelligently in many different contexts. As the scale and complexity of these computer systems increases, so too do challenges in their engineering. As the amount of data increases exponentially, new challenges in the mining and warehousing of information emerge. In all areas of computing, increasingly sophisticated algorithms underpin all of the resulting technologies. The resulting hardware and software systems in these areas are complex; hence a systems engineering perspective on their design and construction is valuable.
In these areas of computing, another emerging trend is linkages with other disciplines. Valuable perspectives on artificial intelligence are emerging from the study of natural intelligence and biological systems. Psychology is a central element in human-computer interaction. The explosion in the volume and utility of information from bioinformatics is a key driver of large-scale data systems. An engineering approach, with emphasis on both hardware and software, is needed for the design of embedded computing technology. In all cases, reliable and systematic software development remains as a key element.
The Bachelor of Advanced Computing graduate will posses technical knowledge of programming, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics. Professional and practical skills in software development will be gained through a series of courses in software analysis, design and construction, capped off with a group software project, With professional skills developed in the areas of entrepreneurship and management, the graduate will be in a position to apply their in-depth technical knowledge to become innovators in industry.
The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an area of advanced computing and a cognate interdisciplinary area will be ideally positioned to shape the respective sector of the computing industry as it evolves over the near future. This will also imbue a capacity for lifelong learning by exposure to a broader range of perspectives and of ways of studying.
The degree also offers a research pathway for graduates wishing to pursue careers with a high emphasis on research.
Learn more about the degrees offered at the ANU College of Engineering and Computer Science, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College - Visit the College of Engineering and Computer Science website.
Admission Requirements
At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not guarantee entry into the program.
In line with the university's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors.
The University reserves the right to alter or discontinue its programs and change admission requirements as needed.
- ATAR:
- 90
- International Baccalaureate:
- 33
Domestic applicants
Before applying for a program, you should review the general information about domestic undergraduate admission to ANU programs and how to apply, and the program-specific information below.
- Applicants with recent secondary education are assessed on:
- completion of Australian Year 12 or equivalent, and the minimum Selection Rank (from their academic qualifications, plus any adjustment factors) requirement for this program; and
- co-curricular or service requirement (applies to applicants who complete secondary education in the year prior to commencing at ANU); and
- English language proficiency; and
- any program-specific requirements listed below.
- Applicants with higher education study are assessed on:
- previous higher education studies; or secondary education results if completed less than one full-time equivalent year (1.0 FTE) of a degree; or the result from a bridging or preparatory course; and
- English language proficiency; and
- any program-specific requirements listed below.
- Applicants with vocational education and training (VET) study are assessed on:
- previously completed VET qualifications at AQF level 5 or higher (i.e. a Diploma or above); or secondary education results if the VET qualification is not completed; and
- English language proficiency; and
- any program-specific requirements listed below.
- Applicants with work and life experience are assessed on:
- ATAR or equivalent if secondary education was completed; or the Special Adult Entry Scheme (SAES); or work experience; and
- English language proficiency; and
- any program-specific requirements listed below.
International applicants
Applicants who complete a recognised secondary/senior secondary/post-secondary/tertiary sequence of study will be assessed on the basis of an equivalent selection rank that is calculated upon application. A list of commonly observed international qualifications and corresponding admission requirements can be found here. Applicants must also meet any program specific requirements that are listed below.
Diversity factors & English language proficiency
As Australia's national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe. If required, competitive ranking may further be confirmed on the basis of demonstrating higher-level English language proficiency.
Further information is available for English Language Requirements for Admission
Pathways
There are a range of pathways available to students for entry into Bachelor of Advanced Computing (Honours):
- ANU: The ANU Bachelor of Information Technology provides a pathway into the Bachelor of Advanced Computing (Honours).
- International agreements/pathways: College of Engineering and Computer Science has a range of articulation agreements with institutions around the world. Students completing the appropriate qualification in these institutions may be approved for entry and credit exemptions towards Bachelor of Advanced Computing (Honours).
Prerequisites
ACT: Mathematical Methods (Major)/Further Mathematics (Major)/Specialist Mathematics/Specialist Methods (Major), NSW: Mathematics or equivalent. More information about interstate subject equivalencies can be found here.
ACT: Specialist Mathematics/ Specialist Methods (double major)/ Discrete Mathematics ANU/UC, NSW: Mathematics Extension 2 or equivalent. More information about interstate subject equivalencies can be found here.
Adjustment Factors
Adjustment factors are additional points added to an applicant's Selection Rank (for example an applicant's ATAR). ANU offers adjustment factors based on performance and equity principles, such as for high achievement in nationally strategic senior secondary subjects and for recognition of difficult circumstances that students face in their studies.
Selection Rank adjustments are granted in accordance with the approved schedules, and no more than 15 (maximum 5 subject/performance-based adjustment factors and maximum 10 equity-based adjustment factors) can be awarded.
You may be considered for adjustment factors if you have:
- applied for an eligible ANU Bachelor degree program
- undertaken Australian Year 12 or the International Baccalaureate
- achieved an ATAR or equivalent at or above 70
- not previously attempted tertiary study.
Please visit the ANU Adjustment Factors website for further information.
Indicative fees
Bachelor of Advanced Computing (Honours) - Commonwealth Supported Place (CSP)
Bachelor of Mathematical Sciences - Commonwealth Supported Place (CSP)
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
- $46,910.00
Scholarships
ANU offers a wide range of scholarships to students to assist with the cost of their studies.
Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are. Specific scholarship application process information is included in the relevant scholarship listing.
For further information see the Scholarships website.
Program Requirements
The Bachelor of Advanced Computing (Honours) flexible double degree component requires completion of 144 units, of which:
A maximum of 48 units may come from completion of 1000-level courses
A minimum of 24 units that come from completion of 4000-level courses from the subject area COMP Computer Science.
The 144 units must include:
54 units from completion of compulsory courses from the following list:
COMP1600 Foundations of Computing
COMP2100 Software Design Methodologies
COMP2120 Software Engineering
COMP2300 Computer Organisation and Program Execution
COMP2310 Systems, Networks and Concurrency
COMP2420 Introduction to Data Management, Analysis and Security
COMP3600 Algorithms
COMP4450 Advanced Computing Research Methods
MATH1005 Discrete Mathematical Models
6 units from completion of course from the following list:
COMP1100 Programming as Problem Solving
COMP1130 Programming as Problem Solving (Advanced)
6 units from completion of course from the following list:
COMP1110 Structured Programming
COMP1140 Structured Programming (Advanced)
24 units from completion of one of the following specialisations:
Artificial Intelligence
Machine Learning
Systems and Architecture
Theoretical Computer Science
6 units from completion of further courses from the subject area COMP Computer Science
6 units from completion of further 3000- level OR 4000-level courses from the subject area COMP Computer Science
Either:
12 units from completion of 3000- or 4000-level courses from the subject area COMP Computer Science
Or:
12 units from completion of courses from the following list:
ENGN3230 Engineering Innovation
VCUG3001 Unravelling Complexity
VCUG3002 Mobilising Research
Either:
6 units from completion of further courses from the subject area COMP Computer Science
Or:
6 units from completion of courses from the following list:
MATH1013 Mathematics and Applications 1
MATH1014 Mathematics and Applications 2
MATH1115 Advanced Mathematics and Applications 1
MATH1116 Advanced Mathematics and Applications 2
MATH2301 Games, Graphs and Machines
ENGN1211 Discovering Engineering
STAT1008 Quantitative Research Methods
STAT1003 Statistical Techniques
Either:
24 units from completion of COMP4550 Advanced Computing Research Project
Or:
12 units from completion of COMP4560 Advanced Computing Project
12 units from completion of further 4000-level or 3000-level courses from the subject area COMP Computer Science
COMP4801 Final Honours Grade will be used to record the Class of Honours and the Mark. The Honours Mark will be a weighted average percentage mark (APM) calculated by first calculating the average mark for 1000, 2000, 3000 and 4000 level courses. We denote these averages: A1, A2, A3, and A4 respectively. The averages are computed based on all units counted towards satisfaction of degree requirements, excluding electives that are neither COMP courses nor courses that are listed within the degree's named specialisations. Finally these averages are combined using the formula APM = (0.1 X A1) + (0.2 X A2) + (0.3 X A3) + (0.4 X A4).
The APM will then be used to determine the final grade according to the ANU Honours grading scale, found at http://www.anu.edu.au/students/program-administration/assessments-exams/grading-scale.
The Bachelor of Mathematical Sciences flexible double degree component requires completion of 96 units, of which:
A maximum of 36 units may come from completion of 1000-level courses
The 96 units must consist of:
36 units from the completion of the following compulsory courses:
MATH1115 Advanced Mathematics and Applications 1
MATH1116 Advanced Mathematics and Applications 2
MATH2222 Introduction to Mathematical Thinking: Problem Solving and Proofs
MATH2305 Applied Mathematics I
MATH2320 Advanced Analysis 1: Metric Spaces and Applications
MATH2322 Advanced Algebra 1: Groups, Rings and Linear Algebra
36 units from completion of 3000- or 4000-level courses from the subject area MATH Mathematics
24 units from completion of courses from the Science course list
Students must achieve a minimum 70% weighted average mark in each period (Summer/First Semester/Autumn and Winter/Second Semester/Spring) in the subject area of MATH in order to continue in the Bachelor of Mathematical Sciences.
Students who do not achieve a minimum of 70% weighted average mark will be transferred to the Bachelor of Science.
Majors
Bachelor of Advanced Computing (Honours) Majors
Minors
Bachelor of Advanced Computing (Honours) Minors
Specialisations
Bachelor of Advanced Computing (Honours) Specialisations
Study Options
| Year 1 | COMP1100 Programming as Problem Solving 6 units OR COMP1130; | MATH1005 Discrete Mathematical Models 6 units | Computing Elective 6 units | |
| COMP1110 Structured Programming 6 units OR COMP1140; | COMP1600 Foundations of Computing 6 units | |||
| Year 2 | COMP2100 Software Design Methodologies 6 units | COMP2300 Computer Organisation and Program Execution 6 units | ||
| COMP2120 Software Engineering 6 units | COMP2310 Systems, Networks and Concurrency 6 units | Computing Elective 6 units | ||
| Year 3 | COMP2420 Introduction to Data Management, Analysis and Security 6 units | Computing Specialisation Course 6 Units | ||
| Computing Elective 3000 or 4000 level<b/>6 Units | COMP3600 Algorithms 6 units | |||
| Year 4 | COMP4450 Advanced Computing Research Methods 6 units | Computing Specialisation course 6 units | ||
| Computing elective 3000 or 4000 level 6 units | Computing elective 3000 or 4000 level 6 units | |||
| Year 5 | COMP4560 Advanced Computing Project 6 to 12 units | Computing Elective course 4000 level 6 units | Computing Specialisation course 6 units | |
| COMP4560 Advanced Computing Project 6 to 12 units | Computing Elective course 4000 level 6 units | Computing Specialisation course 6 units |
Back to the Bachelor of Advanced Computing (Honours) page
The Bachelor of Advanced Computing (Honours) (BAC) is a unique, interdisciplinary program that will prepare you to be a future leader in technology.
The BAC can be taken as a single degree which includes a number of core and compulsory courses including a computing specialisation. The single degree also offers 48 units (eight courses) of electives that can be taken from additional computing courses (enabling you to complete a further computing major, minor, or specialisation), or from other university courses.
The BAC can also be taken as a part of many Flexible Double Degrees.
Single degree
- This degree requires a total of 192 units (each course is typically 6 units though some may be 12 units or higher)
- Typically you will study four courses per semester (total of 24 units)
- There are a number of core and compulsory courses
- You will need to complete a computing specialisation
- 48 units (eight courses) of electives that can be taken from additional computing courses (enabling you to complete a computing major, minor, or specialisation), or from other university courses.
- You can do a maximum of 60u 1000 level courses in your single degree
Double degree
- There are no university electives available in the Flexible Double Degree.
- This degree requires 144 units of the compulsory Advanced Computing requirements (each course is typically 6 units though some may be 12 units or higher)
- Typically you will study four courses per semester (total of 24 units)
- You will need to complete a computing specialisation
- Typically you can do a maximum of 72u 1000 level courses in your Flexible Double Degree
- You can find your Flexible Double Degree with the BSEng from Program and Courses
About this degree
- The degree is made of up compulsory requirements, additional computing electives, and 48 units (eight courses) of electives
- In the single degree you have 48 units of university electives (eight courses). These courses can be used to study more computing courses, or a major or minor from another area of the university including Engineering, or a selection of courses that suits your interests.
- In the Flexible Double Degree, you have no university electives - your other degree requirements use up all of these.
Enrolment Status
While it’s possible to enrol in fewer courses per semester, it will take you longer to finish your program and get your degree. There are maximum time limits for completion of the degree on a part-time basis. If you are an international student you must always be full-time.
Important things to keep in mind when choosing your 1000-level courses
- When you enrol for the first time you will typically study '1000-level' courses. These courses have '1' as the first number in their course code, such as COMP1100.
- You need to enrol in courses for both First Semester and Second Semester though note that you can change your Semester 2 courses all the way until July.
- You can’t study more than four courses (24 units) per semester, 48u for the year, and international students cannot study less than 24u a semester expect in exceptional circumstances and with approval.
- You may take 1000-level courses later in your program. But remember you can’t count more than ten 1000-level courses (60 units) towards your single degree or six 1000-level courses (36 units) towards your BAC half of the Flexible Double Degree.
- In choosing your first year programming courses you will have a choice of doing COMP1100 or COMP1130 in Semester 1, and COMP1110 and COMP1140 in Semester 2. The standard courses are COMP1100/1110 but if you have a strong maths background, and/or significant programming experience, you might like to choose COMP1130/1140. Note that you choose 1130 you will be able to drop back to 1100 in the first 2 weeks.
- You should make sure you do MATH1005 and COMP1600 in your first year.
Majors and Minors
See available majors and minors for this program
You will be required to complete a specialisation as a compulsory part of your BAC.
Electives
If you are in the single degree then in your first year you have two computing electives and two university electives to choose.
- To find 1000-level (first year) elective courses, use the catalogue search.
- University electives can be additional computing courses, or courses from anywhere in the university.
- You have two computing elective to choose in your first year. One must be a COMP course (eg COMP1720 (S2), COMP1710 (S1) , COMP2400 (S2), or COMP2610(S2)). Your other computing elective could be another COMP course as above, or MATH1013 (S1 or S2), MATH1014, STAT1003 (S1), STAT1008 (S2), ENGN1211 (S1)
- Courses that can be taken in first year as computing or other electives and that meet your computing specialisation requirements are: COMP2610 (Theory of Computer Science Specialisation), and COMP2400 (Systems Architecture Specialisation). Students should consider these in light of their performance in Semester One computing and maths courses and take them only if they have performed well in 1st semester.
- If you enjoy and are good at mathematics and do not plan to do a major from another area of study, then you are encouraged to consider doing the following:
- Suggested university electives in your first year if you are interested in Engineering are: Semester 1 - PHYS1001 or PHYS1101 and Semester 2 – ENGN1218
- Suggested university electives if you are interested in Information Systems are Semester 1 or 2: INFS1001
- If you have an interest in another area (eg management, mathematics, psychology, languages) then you should explore first year courses in these areas and in particular, look at the majors and minors in these areas. These will give you an idea of the first year courses that you should study.
- Students whose first language is not English often find their transition to studying in Australia difficult because the rules and academic practices here are often very different from their home country. CECS strongly encourages students who have not studied at an Australian university before to complete ESEN1101 - Essential University English as one of their electives in their first year. This course provides additional English reading, writing and speaking assistance as well as resources to ensure you can apply the required Australian academic style to the rest of your university career (e.g. essay and report structure, oral presentations, critical thinking, avoiding academic integrity breaches like plagiarism).
Study Options
Single Degree
Study Options
| Year 1 48 units | COMP1100 Programming as Problem Solving 6 units OR COMP1130; | MATH1005 Discrete Mathematical Models 6 units | Computing Elective | University Elective |
| COMP1110 Structured Programming 6 units OR COMP1140; | COMP1600 Foundations of Computing 6 units | Computing Elective | University Elective |
Flexible Double Degree
Study Options
| Year 1 48 units | COMP1100 Programming as Problem Solving 6 units OR COMP1130; | MATH1005 Discrete Mathematical Models 6 units | Computing Elective 6 Units | Course from other degree |
| COMP1110 Structured Programming 6 units OR COMP1140; | COMP1600 Foundations of Computing 6 units | Course from other degree | Course from other degree |
Back to the Bachelor of Mathematical Sciences page
Please note that if you are commencing your studies in semester 2 there may be restrictions on the courses available for enrolment. We strongly recommend that you make an appointment with an academic advisor. You can make an appointment by using our online booking system here. Alternatively, you can call Science Central on 6125 2809. There will also be advisory sessions offered during the week before semester commences.
Mathematics is the study of universal patterns and structures and is the quantitative language of the world. It underpins information technology, computer science, engineering, and the physical sciences; and it plays an increasingly important role in the biological and medical sciences, economics, finance, environmental science, sociology and psychology. The Bachelor of Mathematical Sciences provides the tools to study these patterns and structures and along the way you learn transferable skills in critical thinking, analysis, investigation and evidenced-based decision making.
Your program can concentrate on theoretical mathematics, or can extend to a range of applicable mathematical areas such as mathematical modelling, mathematical finance, mathematical economics, mathematical physics, and quantitative biology.
Single degree
In a Bachelor of Mathematical Sciences single degree program you will study a total of 144 units (24 courses) and as a full time student you will need to take 24 units (4 courses) per semester. Of these courses you will need to complete a minimum of 12 core and advanced MATH courses (72 units) together with another 4 courses from the Science course list. You also can choose 8 elective courses (48 units) from any ANU Colleges. You can try a range of courses or take a major or minor in a non-mathematics subject, such as philosophy, history or computing. The choice is yours.
Summary:
This degree requires 144 units (24 courses)A maximum of 60 units (10 courses) of 1000-level courses
- 36 units (6 courses) of core MATH courses
- A minimum of 36 units (6 courses) of advanced MATH 3000-level courses
- 24 units from completion of courses from the Science course list
- An average mark of 70% in core and advanced MATH courses must be maintained each semester to remain in the program
- 48 units (8 course) from the Science course list or another ANU College
Double degree
The Bachelor of Mathematical Sciences can also be taken as a part of many double degrees.
In a Bachelor of Mathematical Sciences double degree program you will study a total of 96 units (16 courses) and as a full time student you will take 4 courses per semester (24 units). However, in each semester you will be likely to take 2 courses from your Mathematical Sciences degree and 2 courses from the other half of your double degree – still a total of 4 courses a semester.
Summary:
- In a flexible double degree the Bachelor of Mathematical Sciences component requires 96 units (16 courses)
- 36 units (6 courses) of core MATH courses
- A minimum of 36 units (6 courses) of advanced MATH 3000-level courses
- 24 units from completion of courses from the Science course list
- An average mark of 70% in core and advanced MATH courses must be maintained each semester to remain in the program
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 (4 course) each semester.
- You need to enrol in courses for both First Semester and Second Semester.
- You can’t study more than 4 courses (24 units) per semester, 8 courses (48 units) 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 Mathematical Sciences half of the double degree.
Important things to keep in mind when choosing your 1000-level courses
There are two compulsory 1000 level courses you must take in your first year year:
Electives
Remember you can
choose up to 8 courses from another ANU College if you are undertaking the single Bachelor of Mathematical
Sciences program.
Study Options
Single degree
This is a typical study pattern for the first year of a student undertaking a Bachelor of Mathematical Sciences.Study Options
| Year 1 48 units | MATH1115 Advanced Mathematics and Applications 1 6 units | Science elective 6 units | Science or non-science course | Science or non-science course |
| MATH1116 Advanced Mathematics and Applications 2 6 units | Science elective 6 units | Science or non-science course | Science or non-science course |
Double degree
This is a typical study pattern for the first year of a student undertaking a Bachelor of Mathematical Sciences with another three year degree, such as the Bachelor of Arts or Bachelor of Science . Please note that for some double degrees (e.g. with Bachelor of Engineering) you may only be able to take one course in semester 1 for your mathematical science degree. In these circumstances it is recommended that in your first year you take MATH1115, MATH1116.Study Options
| Year 1 48 units | MATH1115 Advanced Mathematics and Applications 1 6 units | Science elective 6 units | Degree B Course | Degree B Course |
| MATH1116 Advanced Mathematics and Applications 2 6 units | Science elective 6 units | Degree B Course | Degree B Course |
Academic Advice
For further information, you can:
- Visit the Mathematical Sciences Institute webpage here, or
- Download the Science first year course guide available here, or
- View our program presentation videos located on our New commencers & first year students page, or
- Email us at science.enquiries@anu.edu.au, or
- Come and talk to someone face-to-face. You can make an appointment with an academic advisor here or by calling Science Central on 6125 2809.