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 / BARTS
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
- BARTS: In Person
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.

The Bachelor of Arts is the most diverse, most flexible, and most popular degree at The Australian National University. Each of its some fifty majors, in fields throughout the arts, humanities and social sciences, is taught by truly outstanding scholars to ensure that each student receives the very best education, is engaged with cutting-edge research, and learns to think like a researcher. These majors can be coupled with more than seventy minors and specialisations to broaden or deepen your study. Regardless of your choices, your Arts degree will provide you with core skills in critical analysis and in written and oral communication, while developing your adaptability and ability to help shape change and prepare you for a multifaceted career or further study.

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.

critically apply theoretical frameworks and research techniques to understanding national and international issues and problems;
identify, including through interrogation of databases, relevant sources of information from across a variety of media (print and digital, written and audio-visual) and judge the importance and reliability of those sources;
evaluate ideas and develop creative solutions to problems, including through independent pursuit of knowledge and making connections between different disciplinary approaches and methods;
communicate and debate both orally and in writing, and work with others, using a variety of media; and
understand the ethical implications of ideas, communications, and actions.

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.

Students who successfully complete the below program will be admitted to the Bachelor of Arts:

ELIBS Diploma of Liberal Studies (offered by the ANU College of Arts and Social Sciences)

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 Arts - 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