Data Science Major
Why ECU?
Unit set overview
Code
MAAAJJ
Availability & Campus
JO | ML | BU | OL |
---|---|---|---|
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 |
For more detailed unit information for this Major take a look at our Handbook. To organise your life for next semester visit the Semester 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
Need some help deciding what to study?
Our future student events include a mix of on-campus and online sessions designed to help you decide what to study at ECU.