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.

What does it take to start a successful new business, to lead an organisation, to plan and manage a complex project? How do leaders negotiate, resolve conflict, and manage across cultures in the global workplace?

The Bachelor of Business Administration (BBA) will answer these questions and, more importantly, help you develop the research and practical skills to go out and do these things in the real world.

The BBA is flexible, so you can build on your strengths. For example, you have a wide choice about how much Work-Integrated Learning (e.g. internships) to include in your degree.

Employment Opportunities

BADAN graduates are in high demand due to their skills in high-quality, data-informed decision-making in areas ranging from finance, health, national security and social policy.

BADAN graduates are in high demand due to their skills in high-quality, data-informed decision-making in areas ranging from finance, health, national security and social policy.

Learning Outcomes

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.

1. review, analyse, consolidate and synthesise knowledge, from both Indigenous Australian peoples' and non-indigenous peoples' perspectives, as well as locally and globally
2. demonstrate a broad understanding of management and leadership knowledge with depth in some areas
3. present a clear, coherent and independent exposition of management knowledge and ideas
4. exercise expertise in critical thinking and judgement in identifying and solving problems with intellectual independence
5. demonstrate initiative and judgement in planning, problem solving and decision making in professional practice and/or scholarship
6. adapt knowledge and skills in diverse business contexts
7. demonstrate responsibility and accountability for own learning and professional practice and in collaboration with others within broad parameters
8. employ discipline-based knowledge in transdisciplinary problem-solving

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, Computing and Cybernetics website. 

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, Computing and Cybernetics website. 

Admission Requirements

Prerequisites

There are no formal program prerequisites. But assumed knowledge is:-ACT: Mathematical Methods (Major)/Further Mathematics/Specialist Mathematics (major)/Specialist Methods or NSW: HSC Mathematics Advanced or equivalent. More information about interstate subject equivalencies can be found here.

Adjustment Factors

Adjustment factors are combined with an applicant's secondary education results to determine their Selection Rank. ANU offers adjustment factors based on equity, diversity, and/or performance principles, such as for recognition of difficult circumstances that students face in their studies.

To be eligible for adjustment factors, you must have:

• achieved a Selection Rank of 70 or more before adjustment factors are applied
• if you have undertaken higher education, completed less than one year full-time equivalent (1.0 FTE) of a higher education program
• applied for an eligible ANU bachelor degree program

Please visit the ANU Adjustment Factors website for further information.

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 flexible double degree component requires completion of 96 units, of which:

A maximum of 48 units may come from completion of 1000-level courses

A minimum of 12 units of courses tagged as Transdisciplinary Problem-Solving

The 96 units must include:

54 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

SOCR3001 Data for Decision Making

SOCY3169 Online Research Methods

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)

6 units from completion of courses from the following list:

MATH1115 Advanced Mathematics and Applications 1

STAT2001 Introductory Mathematical Statistics

STAT2013 Introductory Mathematical Statistics for Actuarial Studies

6 units from completion of courses from the following list:

STAT2008 Regression Modelling

STAT2014 Regression Modelling for Actuarial Studies

6 units from completion of courses from the following list:

SOCY2166 Social Science of the Internet

SOCY3005 Quantitative Projects for Inclusion and Diversity

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

The Bachelor of Business Administration 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:

BUSI2025 - International Business (6 units)

BUSN1001 - Business Reporting and Analysis (6 units)

ECON1101 - Microeconomics 1 (6 units)

ECON1102 - Macroeconomics 1 (6 units)

MGMT1003 - Management, People and Organisations (6 units)

MGMT2003 - Business Decision Making (6 units)

MGMT2030 - Human Resource Management and Strategy (6 units)

MGMT2100 - Communication for Business (6 units)

MGMT3021 - Leadership (6 units)

MKTG2004 - Introduction to Marketing (6 units)

12 units from completion of compulsory Transdisciplinary courses from the following list:

MGMT3015 - Corporate Strategy (6 units)

MGMT3027 - Entrepreneurship and Innovation (6 units)

Either:

12 units from completion of courses from the following list:

BUSI3024 - Export Business Planning (6 units)

CBEA2001 - Australian Indigenous Perspectives in Business and Economics (6 units)

CBEA3001 - College of Business and Economics Special Industry Project (6 units)

CBEA3066 - Global Business Immersion (6 units)

CBEA3070 - ANU College of Business and Economics Internship Program (UG) (6 or 12 units)

12 units from completion of elective courses offered by ANU

Or:

24 units from completion of elective courses offered by ANU

If your flexible double degree is within the College of Business and Economics (for example Commerce and Economics), the below study plan may show the same course twice. If this is the case, you must only do the course once and replace the other course with a University Wide Elective.

For majors and minors offered by the ANU College of Business and Economics, students may count a course towards multiple majors and minors. If a minor is a subset of all stated courses and/or prerequisites for a major, then completion of the major overrides completion of the minor, and only the major is regarded as having been completed. If all courses in a major and/or minor are compulsory courses in the degree, the major and/or minor will not be listed on the transcript.

Study Options