Skip to main content Skip to main navigation

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
= Available

Details

Structure

Unit Code Unit Title Credit Points
MAT1252Mathematics for Computing15
CSP1150Programming Principles15
CSG1207Systems and Database Design15
MAT1137Introductory Applied Mathematics15
MAT2110Applied Statistics15
CSP2101Scripting Languages15
MAT2440Time Series Forecasting15
MAT3110Applied Multivariate Statistics15
MAT3120Machine Learning and Data Visualisation15
CSG2132Enterprise Data15
Elective Unitx 230

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 handbook

Notes

Learning Outcomes

  1. Apply broad discipline knowledge to a range of theoretical and practical big data situations.
  2. Analyse theoretical models and data using a range of data science approaches.
  3. Draw conclusions from statistical models to generate solutions to data problems.
  4. Use statistical software packages and databases to investigate and solve problems in data science contexts.
  5. Communicate data science knowledge and ideas clearly, coherently and with independence.
  6. Incorporate diverse perspectives into scientific practice, applying a global outlook and including Aboriginal and Torres Strait Islander cultural perspectives.
  7. Work collaboratively with others, encompassing social, sustainable and ethical values into scientific practice.
  8. 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

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.