Code MAAALD
Data Science Major
Creative thinkers made here.
Creative thinkers made here.
Why study at ECU?
About this Major
Delve into the world of Data Science and discover key insights about the world around you.
Learn the skills to visualise and analyse data, use machine learning to find patterns in data, make predictions or recommendations across a range of industries including health and medical, environmental, research and business sectors. This major focuses on your numeracy and analytical skills, setting you up to be competitive in the data scientist and data analyst fields.
Special entry requirements
All applicants are required to have a final School letter grade of C or higher in ATAR Mathematics Methods (Year 11), or successful completion of MAT1108 Foundations of Mathematics, with equivalents considered.
Code MAAALD
Availability & Campus
Location | Availability |
---|---|
Joondalup | |
Mount Lawley | |
South West | |
Online |
Details
Structure
Unit Code | Unit Title | Credit Points |
---|---|---|
MAT1252 | Mathematics for Computing | 15 |
CSP1150 | Programming Principles | 15 |
CSG1207 | Systems and Database Design | 15 |
MAT1137 | Introductory Applied Mathematics | 15 |
MAT2110 | Applied Statistics | 15 |
CSP2101 | Scripting Languages | 15 |
MAT2440 | Time Series Forecasting | 15 |
MAT3110 | Applied Multivariate Statistics | 15 |
MAT3120 | Machine Learning and Data Visualisation | 15 |
CSG2132 | Enterprise Data | 15 |
Elective Unit | x 2 | 30 |
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 discipline knowledge to a range of theoretical and practical big data situations.
- Analyse theoretical models and data using a range of data science approaches.
- Draw conclusions from statistical models to generate solutions to data problems.
- Use statistical software packages and databases to investigate and solve problems in data science contexts.
- Communicate data science knowledge and ideas clearly, coherently and with independence.
- Incorporate diverse perspectives into scientific practice, applying a global outlook and including Aboriginal and Torres Strait Islander cultural perspectives.
- Work collaboratively with others, encompassing social, sustainable and ethical values into scientific practice.
- Apply own learning to professional practice.
Career Opportunities
Employment opportunities
Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region. Data Science graduates are employed across a wide range of organisations. These include banking, health, computing, mining, government, sport, consultancies and education.
Possible future job titles
Data Scientist, Statistician, Data Analyst, Reporting Analyst, Modelling Analyst, Data Engineering, Algorithm Specialist, Marketing Insights Analyst, Quantitative Analyst, Financial Analyst, Statistical Analyst, Fraud Analyst, Informatician, Biostatistician, Business Intelligence, Intelligence Analyst