single degree

Bachelor of Applied Data Analytics

A single three year undergraduate degree 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 not else
  • Length 3 year full-time
  • Minimum 144 Units
Admission requirements
  • Field of Education
    • Mathematical Sciences not else

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.

This program is available for applications to commence from First Semester, 2017

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.

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.

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.

ATAR:
95
QLD Band:
3
International Baccalaureate:
38

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)

Bonus Points

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.

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

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

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 

 

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 COMP1030 Art of Computing 6 units STAT1003 Statistical Techniques 6 units MATH1113 Mathematical Foundations for Actuarial Studies 6 units Elective 6 units
COMP1040 The Craft of Computing 6 units COMP2400 Relational Databases 6 units SOCR1001 Foundations of Social Research 6 units Elective 6 units
Year 2 48 units COMP3425 Data Mining 6 units STAT2001 Introductory Mathematical Statistics 6 units DEMO2002 Population Analysis 6 units Elective 6 units
COMP3430 Data Wrangling 6 units STAT2008 Regression Modelling 6 units SOCY2169 Online Research Methods 6 units Elective 6 units
Year 3 48 units SOCY2166 Social Science of the Internet 6 units SOCR3001 Data for Decision Making 6 units Elective 6 units Elective 6 units
STAT3011 Graphical Data Analysis 6 units STAT3040 Statistical Learning 6 units Elective 6 units Elective 6 units
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