Data Science Major

Code MAAAJJ

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.

Why ECU?

ECU top in teaching quality

For the fifth year in a row, ECU has received the top undergraduate teaching quality ranking of all 37 public universities in Australia.
ECU was also the top-ranked public university in Australia for undergraduate skills development for the sixth year in a row.
View QILT results.
Good Universities Guide

In the 2021 Good Universities Guide, ECU graduates have given us a 5-star rating for teaching quality, skills development, student support, learning resources, learner engagement and overall student experience.
The 5-star rating for undergraduate teaching quality has now been achieved for 14 straight years.
Read more about the Good Universities Guide.
THE Impact Rankings

ECU has been ranked number 9 in the world for Quality Education and is in the top 100 overall in the 2020 Times Higher Education (THE) Impact rankings, showing how the global higher education sector is working towards the United Nations' Sustainable Development Goals.
Read more about the THE Impact Rankings
THE Young University Rankings

ECU has been ranked in the world's top 100 universities under 50 years old in the 2020 Times Higher Education (THE) Young Universities Rankings, THE World University Rankings.

Unit set overview

Code

MAAAJJ

Availability & Campus

JO	ML	BU	OL

JO - Joondalup BU - South West ML - Mount Lawley OL - 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

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 handbook

Notes

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.