The Bachelor of Applied Data Analytics is a highly sought-after degree that equips students with the skills and knowledge to excel in the rapidly growing field of data analytics. This interdisciplinary program offers a comprehensive curriculum that combines courses from computing, statistics, and social science, providing students with a well-rounded education in data analytics.
Program Requirements
To complete the Bachelor of Applied Data Analytics, students must fulfill a total of 144 units. Here is a breakdown of the program requirements:
Compulsory Courses (60 units)
- 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
Elective Courses (6 units)
Students are required to complete 6 units from the following list of courses:
- COMP1100 Programming as Problem Solving
- COMP1130 Programming as Problem Solving (Advanced)
- COMP1730 Programming for Scientists
Mathematics and Statistics Courses (6 units)
Students must complete 6 units from the following list of mathematics and statistics courses:
- STAT2001 Introductory Mathematical Statistics
- MATH1115 Advanced Mathematics and Applications 1
- STAT2013 Introductory Mathematical Statistics for Actuarial Studies
Regression Modelling Courses (6 units)
Students are required to complete 6 units from the following list of regression modelling courses:
- STAT2008 Regression Modelling
- STAT2014 Regression Modelling for Actuarial Studies
Additional Mathematics Courses (6 units)
Students must complete either option A or option B:
Option A:
- MATH1113 Mathematical Foundations for Actuarial Studies
Option B:
- STAT1003 Statistical Techniques
- STAT1008 Quantitative Research Methods
Elective Study (48 units)
Students are required to complete 48 units of elective courses offered by ANU. Once the program requirements are met, students may have enough electives to pursue an additional major, minor, or specialization.
Study Options
The Bachelor of Applied Data Analytics is a three-year full-time program. Here’s a sample study plan:
Year 1 (48 units)
| Semester 1 | Semester 2 |
|---|---|
| COMP1100 Programming as Problem Solving | MATH1013 Mathematics and Applications 1 |
| Elective | Elective |
| Elective | Elective |
| COMP1110 Structured Programming | COMP2400 Relational Databases |
Year 2 (48 units)
| Semester 1 | Semester 2 |
|---|---|
| COMP3425 Data Mining | STAT2001 Introductory Mathematical Statistics |
| DEMO2002 Population Analysis | Elective |
| Elective | COMP3430 Data Wrangling |
| Elective | STAT2008 Regression Modelling |
Year 3 (48 units)
| Semester 1 | Semester 2 |
|---|---|
| SOCR3001 Data for Decision Making | STAT3040 Statistical Learning |
| Elective | Elective |
| Elective | STAT3011 Graphical Data Analysis |
| Elective | SOCY2166 Social Science of the Internet |
Please note that this is just a sample study plan and actual course offerings may vary. It is important to consult the university’s official course catalog for the most up-to-date information on course availability.
Admission Requirements
To be eligible for admission into the Bachelor of Applied Data Analytics program, applicants must meet specific academic and non-academic requirements, as well as English language proficiency requirements. Admission to the program is competitive, and meeting all requirements does not guarantee entry.
Domestic Applicants
Domestic applicants are assessed based on their completion of Australian Year 12 or equivalent, minimum Selection Rank, co-curricular or service requirement, English language proficiency, and any program-specific requirements. The university may also consider diversity factors in the admission process.
International Applicants
International applicants who have completed a recognized secondary/senior secondary/post-secondary/tertiary sequence of study are assessed based on their equivalent selection rank. They must also meet any program-specific requirements.
For more detailed information on admission requirements and English language proficiency, prospective students should refer to the university’s official admissions policy and strategic plan.
Fee Information
All students are required to pay the Services and Amenities Fee (SA Fee). The annual indicative fee for the Bachelor of Applied Data Analytics program varies for international and domestic students, depending on the number of units taken and the year of commencement. Course fees are subject to annual review and may increase over the duration of the program.
For detailed fee information and payment options, students should visit the university’s official website.
Scholarships
ANU offers a wide range of scholarships to assist students with the cost of their studies. Eligibility for scholarships varies, and specific application processes can be found on the university’s scholarship website. Students are encouraged to explore the available scholarships and apply for those that align with their qualifications and interests.
Career Options
A degree in Applied Data Analytics opens up a world of exciting career opportunities. Graduates of this program possess the skills and knowledge to excel in various industries, including technology, finance, healthcare, government, and consulting. Some potential career paths include:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Database Administrator
- Market Research Analyst
- Data Engineer
- Risk Analyst
- Quantitative Analyst
The demand for skilled data analytics professionals is rapidly increasing, and graduates of the Bachelor of Applied Data Analytics program are well-equipped to meet this demand.
Learning Outcomes
Upon completion of the Bachelor of Applied Data Analytics program, students will have achieved the following 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 on data analytics problems.
- Communicate complex data analytics outcomes to diverse audiences.
Inherent Requirements
Information on inherent requirements for the Bachelor of Applied Data Analytics program is currently not available. Students with specific accessibility needs are encouraged to contact the university’s disability support services for assistance and accommodations.
Conclusion
The Bachelor of Applied Data Analytics is a highly regarded program that prepares students for successful careers in the field of data analytics. With a comprehensive curriculum, industry-relevant courses, and opportunities for further specialization, this program equips graduates with the skills and knowledge to excel in a rapidly evolving job market. Whether it’s analyzing data for business insights, conducting social research, or making data-driven decisions, graduates of this program are well-prepared to tackle the challenges of the digital age.