Flexible Double Degree

Length 5 years full-time
Minimum 240 Units

Admission requirements

Prerequisites Adjustment factors availability

Academic plan AACOM / BADAN
CRICOS code 079094C
UAC code 135010

Academic contact
- bac.convenor.comp@anu.edu.au
- bac.convenor.comp@anu.edu.au
Mode of delivery
- AACOM: In Person
- BADAN: In Person
AACOM: STEM Program
BADAN: STEM Program

This is a unique, interdisciplinary program that will prepare you to be a future leader in the information and communications technology revolution.

As a degree accredited by the Australian Computer Society, you will learn advanced computing techniques and have the opportunity to complete a unique specialisation. You will also develop exceptional professional skills including communication and teamwork while completing an Honours degree.

While some of our students are developing code that 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.

The Bachelor of Applied Data Analytics is a three year full-time (or equivalent part-time) inter-disciplinary degree that is designed to address a global shortage of graduates with skills in data analytics as applied to high-quality, data-informed decision-making. It is designed to develop inter-disciplinary knowledge across the three base disciplines of computing, statistics and social science. You will receive exposure to best practice in data analytics as well as an opportunity to acquire knowledge in a discipline that relies on data analytics, or deepen knowledge in one of computation, statistics, or social science.

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 of 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. These employment opportunities include software developers; data mining specialists for insurance, banking and health sectors; human-computer interaction specialists for software services industries; computer vision specialists to develop the next generation of AI and machine learning tools for media companies, and 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.

Select, adapt, apply, and communicate advanced data analytics methods and techniques;
Apply data analytics to decision making about policy, business and service delivery;
Examine current issues in data analytics using leading-edge research and practices in the field;
Demonstrate strong cognitive, technical, and communication skills to work independently and collaboratively to collect, process, interpret and communicate the outcomes of data analytics problems; and
Communicate complex data analytics outcomes to diverse audiences.

Further Information

The Bachelor of Advanced Computing graduate will possess technical knowledge of programming and the fundamentals of Computer Science, With these as a foundation, their technical knowledge will have been honed by the study of a selection of advanced computing topics within their Specialisation. 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, industry internship or individual research 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 or, if a research project is completed, apply directly to world-leading PhD programs.

The best computing professionals are informed by knowledge of a wider field than computing alone. Graduates fulfilling a Major in an 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 ways of studying.

Admission Requirements

ATAR:: 90
International Baccalaureate:: 33

Pathways

There are a range of pathways available to students for entry into Bachelor of Advanced Computing (Honours):

ANU: The ANU Bachelor of Computing provides a pathway into the Bachelor of Advanced Computing (Honours).
International agreements/pathways: The College of Engineering, Computing and Cybernetics 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: HSC Mathematics Advanced or equivalent.

VIC: Mathematics Methods or equivalent

QLD: Mathematics Methods or equivalent

TAS: Mathematical methods/Mathematics Specialised/Mathematics 1 and II through U Tas/Both Mathematics 1 and II through UTAS/Both Advanced Calculus and Applications 1A and 1B through UTAS

SA / NT: Mathematical Methods or equivalent

WA: Mathematical Methods or equivalent

IB: Mathematics: Applications and Interpretations HL/Mathematics: Analysis and Approaches SL or HL

There are no formal program prerequisites. But assumed knowledge is:-ACT: Mathematical Methods (Major)/Further Mathematics/Specialist Mathematics (major)/Specialist Methods or NSW: HSC Mathematics Advanced or equivalent. More information about interstate subject equivalencies can be found here.

Adjustment Factors

Adjustment factors are combined with an applicant's secondary education results to determine their Selection Rank. ANU offers adjustment factors based on equity, diversity, and/or performance principles, such as for recognition of difficult circumstances that students face in their studies.

To be eligible for adjustment factors, you must have:

achieved a Selection Rank of 70 or more before adjustment factors are applied
if you have undertaken higher education, completed less than one year full-time equivalent (1.0 FTE) of a higher education program
applied for an eligible ANU bachelor degree program

Please visit the ANU Adjustment Factors website for further information.

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

Bachelor of Applied Data Analytics - Commonwealth Supported Place (CSP)

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

Annual indicative fee for international students: $53,700.00

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are. Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Program Requirements

This double degree requires the completion of 240 units.

The Bachelor of Advanced Computing (Honours) flexible double degree component requires completion of 144 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

A minimum of 48 units that come from completion of 4000-level courses from the subject area COMP Computer Science.

The 144 units must include:

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

COMP1100 Programming as Problem Solving (6 units) / COMP1130 Programming as Problem Solving (Advanced) (6 units)

AND

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

COMP1110 Structured Programming (6 units) / COMP1140 Structured Programming (Advanced) (6 units)

AND

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

MATH1005 Discrete Mathematical Models (6 units) / MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs (6 units)

AND

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

COMP1600 Foundations of Computing (6 units)

COMP2100 Software Design Methodologies (6 units)

COMP2300 Computer Architecture (6 units)

COMP2310 Systems, Networks and Concurrency (6 units)

COMP2400 Relational Databases (6 units)

COMP3600 Algorithms (6 units)

COMP4450 Computing Research Methods (6 units)

AND

24 units from the completion of one of the following specialisations:

Artificial Intelligence

Machine Learning

Systems and Architecture

Theoretical Computer Science

Human-Centred and Creative Computing

AND

Either:

18 units from completion of further courses from the subject area COMP Computer Science

12 units from completion of further courses from the subject area COMP Computer Science

AND

6 units from completion of courses from the following list:

ENGN1211 Engineering Design 1: Discovering Engineering (6 units)

MATH1013 Mathematics and Applications 1 (6 units)

MATH1014 Mathematics and Applications 2(6 units)

MATH1115 Advanced Mathematics and Applications 1 (6 units)

MATH1116 Advanced Mathematics and Applications 2 (6 units)

MATH2301 Games, Graphs and Machines (6 units)

STAT1003 Statistical Techniques (6 units)

STAT1008 Quantitative Research Methods (6 units)

AND

18 units from the completion of 3000 or 4000-level courses from the subject area COMP Computer Science

Either:

24 units from completion of COMP4550 Computing Research Project which must be completed twice, in consecutive semesters (12+12 units)

12 units from COMP4500 Software Engineering Team Project which must be completed twice, in consecutive semesters (6+6 units)

AND 12 units from the completion of further 4000-level courses from the subject area COMP Computer Science

COMP4820 Advanced Computing Internship (12 units)

AND 12 units from the completion of further 4000-level courses from the subject area COMP Computer Science

Honours Calculation

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 calculated based on all courses completed (including fails), that are listed in the program requirements, excluding non-COMP-coded electives, giving NCN and WN a nominal mark of zero. 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 Applied Data Analytics flexible double degree component requires completion of 96 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

The 96 units must include:

54 units from completion of the following compulsory courses

COMP2400 Relational Databases

COMP3425 Data Mining

COMP3430 Data Wrangling

DEMO2002 Population Analysis

SOCR1001 Foundations of Social Research

SOCR3001 Data for Decision Making

SOCY3169 Online Research Methods

STAT3011 Graphical Data Analysis

STAT3040 Statistical Learning

6 units from completion of courses from the following list:

COMP1100 Programming as Problem Solving

COMP1130 Programming as Problem Solving (Advanced)

COMP1730 Programming for Scientists

6 units from completion of courses from the following list:

COMP1110 Structured Programming

COMP1140 Structured Programming (Advanced)

6 units from completion of courses from the following list:

MATH1115 Advanced Mathematics and Applications 1

STAT2001 Introductory Mathematical Statistics

STAT2013 Introductory Mathematical Statistics for Actuarial Studies

6 units from completion of courses from the following list:

STAT2008 Regression Modelling

STAT2014 Regression Modelling for Actuarial Studies

6 units from completion of courses from the following list:

SOCY2166 Social Science of the Internet

SOCY3005 Quantitative Projects for Inclusion and Diversity

Either:

6 units from completion of MATH1113 Mathematical Foundations for Actuarial Studies

6 units from completion of courses from the following list:

STAT1003 Statistical Techniques

STAT1008 Quantitative Research Methods

Or:

12 units from completion of the following courses:

MATH1003 Algebra and Calculus Methods

MATH1113 Mathematical Foundations for Actuarial Studies

Or:

12 units from completion of the following courses:

MATH1013 Mathematics and Applications 1

MATH1014 Mathematics and Applications 2

MATH1115 Advanced Mathematics and Applications 1

MATH1116 Advanced Mathematics and Applications 2

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Theoretical Computer Science

Study Options

Year 1	COMP1100 Programming as Problem Solving 6 units OR COMP1130;	MATH1005 Discrete Mathematical Models 6 units	Computing Elective 6 units
Year 1	COMP1110 Structured Programming 6 units OR COMP1140;	COMP1600 Foundations of Computing 6 units
Year 2	COMP2100 Software Construction 6 units	COMP2300 Computer Architecture 6 units
Year 2	COMP2120 Software Engineering 6 units	COMP2310 Systems, Networks, and Concurrency 6 units	Computing Elective 6 units
Year 3	COMP2420	Computing Specialisation Course 6 Units
Year 3	Computing Elective 3000 or 4000 level<b/>6 Units	COMP3600 Algorithms 6 units
Year 4	COMP4450 Computing Research Methods 6 units	Computing Specialisation course 6 units
Year 4	Computing elective 3000 or 4000 level 6 units	Computing elective 3000 or 4000 level 6 units
Year 5	COMP4560 Advanced Computing Project 6 units	Computing Elective course 4000 level 6 units	Computing Specialisation course 6 units
Year 5	COMP4560 Advanced Computing Project 6 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 a major from other schools.

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)
There are a number of core and compulsory courses
You will need to complete one 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)
You will need to complete one 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 24-unit specialisation as a compulsory part of your program. This can be declared via ISIS in your second or third year. When planning your Specialisation check the pre-requisites for courses to ensure you can complete all the required courses. o Artificial Intelligence o Human-Centred and Creative Computing o Machine Learning o Systems and Architecture o Theoretical Computer Science

You can also choose to complete a Computing Major (48-units) if you use your elective space. If you plan to complete a major please check with the College Student Services about how to plan your degree before enrolling in your second year subjects.

COMS-MAJ Computer Systems

CSEC-MAJ Cyber Security

HCCC-MAJ Human-Centred and Creative Computing

INFS-MAJ Information Systems

Follow the steps here: Declaring majors, minors & specialisations to declare your Specialisation and any majors you wish to take, noting the dates this can be done. You do not need to declare your Specialisation until your second or third year but note that you need to plan to complete the required courses to meet their requirements.

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.
Courses that can be taken in first year as computing or other electives are: COMP2620 and COMP2400 . Students should consider these in light of their performance in thier first semester computing and maths courses and take them only if they have performed well.
If you enjoy and are good at mathematics and do not plan to do a major from another area of study, then you are encouraged to consider doing the following:

Semester 1: MATH1013 Maths and Applications 1, or MATH1115 Maths and Applications 1 (Hons) (only recommended for outstanding maths students)
Semester 2: MATH1014 Maths and Applications 2, or MATH1116 Maths and Applications 2 (Hons) (only recommended for outstanding maths students)

Suggested university electives in your first year if you are interested in Engineering are: Semester 1 - PHYS1001 or PHYS1101 and Semester 2 – ENGN1218
Suggested university electives if you are interested in Information Systems are Semester 1 or 2: INFS1001
If you have an interest in another area (eg management, mathematics, psychology, languages) then you should explore first year courses in these areas and in particular, look at the majors and minors in these areas. These will give you an idea of the first year courses that you should study.
Transdisciplinary (TD) Courses can be found on P&C. By following your degree rules you will meet your TD program requirement.

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
Year 1 48 units	COMP1110 Structured Programming 6 units OR COMP1140;	COMP1600 Foundations of Computing 6 units	Computing Elective	University Elective

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
Year 1 48 units	COMP1110 Structured Programming 6 units OR COMP1140;	COMP1600 Foundations of Computing 6 units	Course from other degree	Course from other degree

Academic Advice

The Study Options below are a guide, depending on your personal circumstances and interests you may need to move Electives and courses into different semesters.

If you want to talk to someone before enrolling or have your study plan reviewed review the information on Getting Started in your Study Program and then contact the College Student Enquiries team at studentadmin.cecc@anu.edu.au

Back to the Bachelor of Applied Data Analytics page

The Bachelor of Applied Data Analytics (BADAN) can be taken as a single degree which includes 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, courses from elsewhere in the university, or a major or minor from another area of the university.

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

Single degree

This degree requires a total of 144 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) for 3 years
There are a number of core and compulsory courses
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, or a selection of courses that suits your interests.?
If a course is included in both the BADAN core requirements and within your chosen major, minor or specialisation you are required to confirm that the course is able to be “double counted” towards both requirements. To do this you must seek written confirmation from the College offering the course that it is approved to be counted as both a BADAN core requirement AND as a major, minor or specialisation requirement. Courses are usually counted towards the BADAN core requirements. All CECS courses in majors, minors or specialisations are pre-approved to be counted toward both BADAN core requirements and major, minor or specialisation requirements.
“Double counting” a course towards both BADAN core requirements and major, minor or specialisation requirements does not reduce the overall units required to complete the program. If a course is approved to be “double counted” you are required to make-up 6 units with an additional elective course.
You can do a maximum of 60units of 1000 level courses in your single degree.

Double degree

You can find your Flexible Double Degree with BADAN using the ANU degree-builder on Programs and Courses.
Typically you will study four courses per semester (total of 24 units)
BADAN paired with another 3 year degree (e.g. Bachelor of Design will take 4 years to complete. BADAN paired with a 4-year degree (e.g. Bachelor of Engineering (Honours)) will take 5 years to complete.
In the Flexible Double Degree, some program pairings do not allow any ANU electives to be taken (therefore, not allowing you to complete a major, minor or specialisation). Whereas some program pairings, such as Bachelor of Actuarial Studies/Bachelor of Applied Data Analytics, allow for certain courses to be “double counted” towards both program requirements. This means that there may be room for ANU electives. Please speak to CECS Student Services if you need to seek any course approvals for “double counting a course”.
Typically you can do a maximum of 72 units of 1000 level courses in your Flexible Double Degree

Enrolment Status

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, 48 units for the year. International students cannot study less than 24 units a semester except 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 BADAN half of the Flexible Double Degree.

Electives

If you are in the single degree then in your first year you have two university electives to choose. University electives can be additional computing courses, or courses from anywhere in the university.
To find 1000-level (first year) elective courses, use the catalogue search.
If you have an interest in another area (e.g. management, science, 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.
If you are studying a Flexible Double degree and want to “double count a course” so that you can choose electives please speak to CECS Student Services for course approvals.

For more information about subject choices visit:
Bachelor of Applied Data Analytics | ANU College of Engineering, Computing & Cybernetics

Academic Advice

Choosing your first year programming courses

If you enjoy mathematics, have a record of good marks in maths and would like to invest in computer science expertise at an advanced level and maximise your options for subsequent computing courses, choose: COMP1130 Programming as Problem Solving (Advanced), and COMP1140 Structured Programming (Advanced)
Note that if you choose 1130 and change your mind you will be able to drop back to 1100 in the first 2 weeks.
If you would prefer to minimise the computer science aspects of your BADAN and just want to learn minimally what you need, choose: COMP1730 Programming for Scientists, and COMP1110 Structured Programming
If you enjoy computing and want to invest in your computer science skills to maximise your options for subsequent computing courses choose:COMP1100 Programming as Problem Solving, and COMP1110 Structured Programming

Choosing your first year maths courses

For Flexible Double degree students you may be required to complete MATH or STAT as a part of your non-BADAN degree. It is possible to choose a MATH or STAT course that counts towards both degree requirements, therefore allowing for you to complete an ANU elective.
If you have studied less maths at school, are studying a flexible double degree or wish to minimise first year maths: you should take MATH1003 Algebra and Calculus Methods followed by MATH1113 Mathematical Foundations for Actuarial Studies. If you follow this option you will need to do a little self-study for basic statistical concepts when you get to later required STAT courses.
If you have studied less maths at school and need to build confidence in maths and statistics or do not meet the prerequisites for MATH1113, and are not studying a flexible double degree, you should take MATH1003 Algebra and Calculus Methods as an elective then MATH1113 and either STAT1003 Statistical Techniques or STAT1008 Quantitative Research Methods.
If you have studied substantial maths at school but want to get into statistics (and meet the course pre-requisites) you should take MATH1113 Mathematical Foundations for Actuarial Studies and either STAT1003 Statistical Techniques or STAT1008 Quantitative Research Methods.
If you have studied substantial maths at school, are confident in your skills and meet the course pre-requisite, you can take MATH1013 Mathematics and Applications 1 and MATH1014 Mathematics and Applications 2. If you follow this option you must be able to do a little self-study for very basic statistical concepts when you get to later required STAT courses.
If you have an excellent secondary maths record, enjoy maths and meet the course pre-requisites you should take the advanced courses,MATH1115 Advanced Mathematics and Applications 1 and MATH1116 Advanced Mathematics and Applications 2. If you follow this option you will need to do a little self-study for basic statistical concepts when you get to later required STAT courses. With this level of strength in maths you will have no trouble skipping the most introductory statistics material.

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Bachelor of Advanced Computing (Honours) / Bachelor of Applied Data Analytics

Career Options

Employment Opportunities

Learning Outcomes

Further Information

Admission Requirements

Pathways

Prerequisites

Adjustment Factors

Indicative fees

Scholarships

Program Requirements

Specialisations

Bachelor of Advanced Computing (Honours) Specialisations

Study Options

Single degree

Double degree

About this degree

Enrolment Status

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

Majors and Minors

Electives

Study Options

Single Degree

Study Options