single degree

Bachelor of Applied Data Analytics

A single three year undergraduate award offered by the ANU College of Engineering and Computer Science

BADAN
  • Length 3 year full-time
  • Minimum 144 Units
Admission requirements
  • Field of Education
    • Mathematical Sciences NEC
  • Length 3 year full-time
  • Minimum 144 Units
Admission requirements
  • Field of Education
    • Mathematical Sciences NEC

Program Requirements

The Bachelor of Applied Data Analytics requires the completion of 144 units, of which:

A maximum of 60 units may come from completion of 1000-level courses

 

The 144 units must consist of:

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

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:

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)
 

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


48 units from completion of elective courses offered by ANU

Elective Study

Once you have met the program requirements of your degree, you may have enough electives to complete an additional elective majorminor or specialisation.

Study Options

Year 1 48 units COMP1100 Programming as Problem Solving 6 units MATH1013 Mathematics and Applications 1 6 units Elective 6 units Elective 6 units
COMP1110 Structured Programming 6 units COMP2400 Relational Databases 6 units SOCR1001 Foundations of Social Research 6 units MATH1014 Mathematics and Applications 2 6 units
Year 2 48 units COMP3425 Data Mining 6 units STAT2008 Regression Modelling 6 units DEMO2002 Population Analysis 6 units Elective 6 units
COMP3430 Data Wrangling 6 units STAT2001 Introductory Mathematical Statistics 6 units SOCY2169 Online Research Methods 6 units Elective 6 units
Year 3 48 units SOCY2166 Social Science of the Internet 6 units STAT3040 Statistical Learning 6 units Elective 6 units Elective 6 units
STAT3011 Graphical Data Analysis 6 units SOCR3001 Data for Decision Making 6 units Elective 6 units Elective 6 units

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 National Register of higher education providers is an authoritative source of information that will help you confirm your institution of choice is registered to deliver higher education in Australia.

The Quality Indicators for Learning and Teaching (QILT) website is HERE. Based on surveys done by thousands of students across Australia you can find out about universities that interest you, doing side-by-side comparisons.

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

Domestic applicant entry requirements

Queensland Band equivalents are a guide only - selection is made on an ATAR 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.

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.

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. Subject and performance-based adjustments do not apply to programs with a minimum selection rank of 98 or higher. Visit the ANU Adjustment Factors website for further information.

Commonwealth Supported Place (CSP)

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

Annual indicative fee for international students
$43,680.00

For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees

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.

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

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

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.

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
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