• Length 4 years full-time
  • Minimum 192 Units
Admission requirements
  • Academic plan BADAN / BMASC
  • CRICOS code 079093D
  • UAC code 130010
Bachelor of Applied Data Analytics / Bachelor of Mathematical Sciences

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.

The program is an elite, research-focused program for exceptional students who want to pursue

  • A career based in the quantitative modelling of the real world;
  • A research oriented career in government, commerce or industry;
  • Or postgraduate research leading to a higher degree.

This program provides a unique opportunity within Australia to study mathematics.

  • We offer small class sizes when compared to other top Australian universities.
  • We offer student access to some of the best mathematicians in Australia.
  • We offer a stream of advanced courses from first year through to the honours year.

This program is not available for Semester 2 commencement.

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

Mathematics graduates are sought after in many areas, because of their quantitative problem solving skills.  We have graduates who have taken up careers in academia, government and consulting; for instance, we have graduates working at CSIRO, Bureau of Meteorology, Geosciences Australia, Australian Signals Directorate, Macquarie Bank, Boston Consulting, Treasury, Australian Tax Office and Google. Any modern business is on the lookout for graduates with good quantitative skills.

Mathematics graduates are sought after in many areas, because of their quantitative problem solving skills.  We have graduates who have taken up careers in academia, government and consulting; for instance, we have graduates working at CSIRO, Bureau of Meteorology, Geosciences Australia, Australian Signals Directorate, Macquarie Bank, Boston Consulting, Treasury, Australian Tax Office and Google. Any modern business is on the lookout for graduates with good quantitative skills.

Learning Outcomes

Upon successful completion, students will have the skills and knowledge to:

  1. Select, adapt, apply, and communicate advanced data analytics methods and techniques;
  2. Apply data analytics to decision making about policy, business and service delivery;
  3. Examine current issues in data analytics using leading-edge research and practices in the field;
  4. 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
  5. Communicate complex data analytics outcomes to diverse audiences.

Upon successful completion, students will have the skills and knowledge to:

  1. 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.
  2. Demonstrate mastery of the concepts and techniques of Advanced Mathematics
  3. Communicate concepts and results clearly and effectively both in writing and orally
  4. Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions
  5. Engage in critical review of appropriate and relevant information sources
  6. Work and learn in both independent and collaborative ways with others to encompass diverse abilities and perspectives.

Admission Requirements

Admission to all programs is on a competitive basis. Admission to undergraduate degrees is based on meeting the ATAR requirement or an equivalent rank derived from the following qualifications:

• An Australian year 12 qualification or international equivalent; OR
• A completed Associate Diploma, Associate Degree, AQF Diploma, Diploma, AQF Advanced Diploma, Graduate Certificate or international equivalent; OR
• At least one standard full-time year (1.0 FTE) in a single program of degree level study at an Australian higher education institution or international equivalent; OR
• An approved tertiary preparation course unless subsequent study is undertaken.

Click HERE for further information about domestic admission.

More information about ATAR requirements for individual programs can be found HERE.

The table below is a guide to the entry level required for domestic applicants. Exact entry level will be set at time of offer.

ATAR:
95
QLD Band:
3
International Baccalaureate:
38

Domestic applicant entry requirements

Queensland Band equivalents are a guide only - selection is made on a UAI equivalent that is not available to students.

International applicant entry requirements

International applicants may view further information on admissions requirements at Entry Requirements for International Undergraduate Applicants

The University reserves the right to alter or discontinue its programs as required.

Prerequisites

None. 

 

Assumed knowledge is:

ACT: Mathematical Methods (Major)

NSW: Mathematics

QLD: Mathematics B

SA/NT: Mathematical Studies

TAS: Mathematics Methods

VIC: Mathematical Methods (CAS)

WA: Mathematics 3C/3D

IB: Mathematics (SL)

ACT Specialist Mathematics double major or NSW HSC Mathematics Extension 2 or equivalent. Students with excellent marks in either ACT Specialist Mathematics major-minor or NSW HSC Mathematics Extension 1 or equivalent may be permitted to enrol.

Adjustment Factors

The National Access Scheme 2014

ANU offers bonus points for nationally strategic senior secondary subjects, and in recognition of difficult circumstances that students face in their studies. 

Bonus points are applied to all applicants with an ATAR at or above 70. Points are awarded in accordance with the approved schedule, and no more than 10 points (maximum 5 academic points and maximum 5 equity points) will be awarded.

Bonus points do not apply to programs with an ATAR cutoff of 98 or higher.

Bonus Points are only awarded to domestic applicants applying for admission through UAC who have not previously attempted tertiary study.

How to apply

Academic Bonus Points: senior secondary students do not need to apply for ANU academic bonus points. They are automatically added in accordance with the schedule.

Educational Access Scheme: senior secondary students do not need to apply if their school is part of the Priority School Funding Program or Country Areas Program. All other applicants should refer to http://www.uac.edu.au/eas/  for more information.

Bachelor of Applied Data Analytics - 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
$36,720.00

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 192 units.

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:

72 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

SOCY2043 Introduction to Qualitative Research Methods

SOCY2169 Online Research Methods

SOCY2166 Social Science of the Internet

SOCR3001 Data for Decision Making

STAT2001 Introductory Mathematical Statistics

STAT2008 Regression Modelling

STAT3011 Graphical Data Analysis 

STAT3040 Statistical Learning

 

6 units from completion of courses from the following list:

COMP1030 Art of Computing

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:

COMP1040 The Craft of Computing

COMP1110 Structured Programming

COMP1140 Structured Programming (Advanced)

 

Either:

12 units from completion of the following courses:

STAT1003 Statistical Techniques

MATH1113 Mathematical Foundations for Actuarial Studies

 

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 & Applications 1  

MATH1014 Mathematics & Applications 2 

MATH1115 Mathematics & Applications 1 Honours 

MATH1116 Advanced Mathematics & Applications 2 

 

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 75% weighted average mark in each period (Summer/First Semester/Autumn and Winter/Second Semester/Spring) in order to continue in the Bachelor of Mathematical Sciences. 

Students who do not achieve a minimum of 75% weighted average mark will be transferred to the Bachelor of Science.

Study Options

Year 1 COMP1030 Art of Computing 6 units STAT1003 Statistical Techniques 6 units MATH1115 Advanced Mathematics and Applications 1 6 units MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs 6 units
SOCR1001 Foundations of Social Research 6 units COMP1040 The Craft of Computing 6 units MATH1116 Advanced Mathematics and Applications 2 6 units MATH2322 Advanced Algebra 1: Groups, Rings and Linear Algebra 6 units
Year 2 DEMO2002 Population Analysis 6 units COMP3425 Data Mining 6 units MATH2305 Applied Mathematics I 6 units MATH2320 Advanced Analysis 1: Metric Spaces and Applications 6 units
COMP2400 Relational Databases 6 units MATH1113 Mathematical Foundations for Actuarial Studies 6 units Science elective 6 units Science elective 6 units
Year 3 SOCY2166 Social Science of the Internet 6 units STAT2001 Introductory Mathematical Statistics 6 units Science elective 6 units Science elective 6 units
COMP3430 Data Wrangling 6 units SOCY2169 Online Research Methods 6 units 3000 or 4000 level MATH course 6 units 3000 or 4000 level MATH course 6 units
Year 4 STAT2008 Regression Modelling 6 units STAT3040 Statistical Learning 6 units 3000 or 4000 level MATH course 6 units 3000 or 4000 level MATH course 6 units
SOCR3001 Data for Decision Making 6 units STAT3011 Graphical Data Analysis 6 units 3000 or 4000 level MATH course 6 units 3000 or 4000 level MATH course 6 units

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 75% 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 75% 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.

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 MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs 6 units Science or non-science course Science or non-science course
MATH1116 Advanced Mathematics and Applications 2 6 units MATH2322 Advanced Algebra 1: Groups, Rings and Linear Algebra 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 MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs 6 units Degree B Course Degree B Course
MATH1116 Advanced Mathematics and Applications 2 6 units MATH2322 Advanced Algebra 1: Groups, Rings and Linear Algebra 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.

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