Flexible Double Degree - Arts, Social Sciences, Business, Science

Length 4 years full-time
Minimum 192 Units

Admission requirements

Prerequisites Adjustment factors availability

Academic plan BADAN / BMASC
CRICOS code 079093D
UAC code 120010

Academic contact
- BADAN.convener.comp@anu.edu.au
- BADAN.convener.comp@anu.edu.au
Mode of delivery
- BADAN: In Person
- BMASC: Not Specified
BADAN: STEM Program

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.

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

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.

Learning Outcomes

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.

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

Learn more about the degrees offered at the ANU College of Engineering and Computer Science, read current student profiles to see what campus life is really like, and discover what our graduates have achieved since leaving the College: Visit the College of Engineering and Computer Science website.

Admission Requirements

ATAR:: 95
QLD Band:: 4
International Baccalaureate:: 37

Prerequisites

There are no formal program prerequisites. But assumed knowledge is:-ACT: Mathematical Methods (Major)/Further Mathematics/Specialist Mathematics (major)/Specialist Methods or 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

ANU offers rank adjustments for a number of adjustment factors, including for high achievement in nationally strategic senior secondary subjects and for recognition of difficult circumstances that students face in their studies. Rank adjustments are applied to Bachelor degree applicants with an ATAR at or above 70. Points are awarded in accordance with the approved schedules, and no more than 15 points (maximum 5 subject/performance-based adjustments, maximum 10 equity-based adjustments and maximum 5 Elite Athlete adjustments) will be awarded. Please note that Adjustment Factors vary and do not apply to a select few programs, please visit the ANU Adjustment Factors website for further 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: $45,864.00

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:

60 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

SOCY2169 Online Research Methods

SOCY2166 Social Science of the Internet

SOCR3001 Data for Decision Making

STAT3011 Graphical Data Analysis

STAT3040 Statistical Learning