Data Science Major
Code MAAAJJ
Why study at ECU?
-
A great student experience
As an ECU undergraduate, you can expect the best overall student experience of any of the 38 public universities in Australia. More about QILT.
-
The highest quality teaching
ECU is one of the best unis in Australia for teaching. We've had 18 straight years of 5-star ratings in the Good Universities Guide to prove it!
-
One of the world's young guns
We're ranked one of the world's best universities under 50 years old, and we've already established a global reputation for such a young institution.
About this Major
Focuses on the numeracy and analytical repertoire of graduates.
Graduates will gain statistical expertise in analysing and visualising simple and complex data sets from a variety of sources such as disease markers, genomic and transcriptomic data and business data sets. Graduates will be competitive in the data science job market as it is implemented in computing, business and the natural sciences.
Special entry requirements
All applicants are required to have a final School letter grade of C or higher in Mathematics Methods ATAR (Year 11), or successful completion of MAT1108 Foundations of Mathematics, with equivalents considered.
Code MAAAJJ
Availability & Campus
| Location | Availability |
|---|---|
| Joondalup | |
| Mount Lawley | |
| South West | |
| Online |
Details
Structure
| Unit Code | Unit Title | Credit Points |
|---|---|---|
| MAT1137 | Introductory Applied Mathematics | 15 |
| MAT1252 ^ | Mathematics for Computing | 15 |
| CSP1150 | Programming Principles | 15 |
| CSG1207 | Systems and Database Design | 15 |
| MAT2110 | Applied Statistics | 15 |
| MAT2440 | Time Series Forecasting | 15 |
| MAT3110 | Applied Multivariate Statistics | 15 |
| MAT3120 | Machine Learning and Data Visualisation | 15 |
| Students in Y14 should choose MAT1114 in place of MAT1252. | ||
| MAT1114 ^ | Introductory Statistics | 15 |
^ Core Option
For more detailed unit information for this Major take a look at our Handbook. To organise your life for next semester visit the Teaching timetable.
Student handbookNotes
Learning Outcomes
- Apply broad data science knowledge to a range of theoretical and practical big data situations.
- Think critically to analyse, interpret and conceptualise big data science problems.
- Think creatively or anticipate challenges to generate solutions to big data problems.
- Use digital technologies, information literacies and numeracy proficiency to access, evaluate and synthesise relevant information from multiple sources.
- Exhibit communication skills in statistics discourse across a range of topics/contexts of data science.
- Collecting and communicating data science analyses sensitively and ethically with respect for cultural diversity, including indigenous cultural competence.
- Work collaboratively and demonstrate initiative to implement social, sustainable and ethical values.
- Demonstrate autonomy, accountability and judgment to manage own learning and professional practice.
Career Opportunities
Employment opportunities
Data Analyst, Data Scientist, Applied Statistician
This Major can be studied in the following courses
Experiences
The Important Things
Things you should know about if you're thinking about studying here.
Course Entry
There's more than one admission pathway into an ECU course. It depends on what you've studied already, or your work or life experience.
Fees & Scholarships
Course tuition fees can change, but we can give you an estimate of your costs. If you're eligible, a scholarship or student loan can help too.
Applying
Applying for a course is a fairly simple process, especially if you have scanned copies of qualifications, your resume or other paperwork, ready to upload.
ECU Experience
Starting a course is an exciting and sometimes daunting time, so we make a massive effort to ensure you get all the support you need to have a positive experience.