Skip to main content Skip to main navigation

Master of Data Science

Course code I97

Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored and analysed/utilised.
Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region.

Why ECU?

  • QILT logo

    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.

  • The Good Universities Guide 2021

    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 2020

    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 World University Rankings 2020 Top 100 Young

    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.

Course overview

Choose student type

Entry requirements

ECU admission and English language requirements apply.

See Course Entry for further information.

Course code

I97

Fees

Domestic fee paying - estimated 1st year indicative fee AUD $25,650

See Fees and Scholarships for further information.

Duration

2 years full-time or part-time equivalent

See Course Details for further information.

Availability & Campus

Semester 1 Semester 2
Joondalup FT PT FT PT
Mount Lawley
South West
Online FT PT FT PT
FT - Full-time PT - Part-time

Entry requirements

ECU admission and English language requirements apply.

See Course Entry for further information.

Course code

I97

CRICOS code

103286b

Fees

International students - estimated 1st year indicative fee AUD $33,100

See Fees and Scholarships for further information.

Duration

2 years full-time or part-time equivalent

See Course Details for further information.

Availability & Campus

Semester 1 Semester 2
Joondalup FT FT
Mount Lawley
South West
Online FT PT FT PT
FT - Full-time PT - Part-time

Course Entry

Admission requirements you'll need to meet for this course.

  • Academic admission requirements (Band 6) may be satisfied through completion of one of the following:

    • Bachelor degree; or
    • Equivalent prior learning including at least five years relevant professional experience.
  • English competency requirements may be satisfied through completion of one of the following:

    • IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0);
    • Bachelor degree from a country specified on the English Proficiency Bands page;
    • Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent);
    • Where accepted, equivalent prior learning, including at least five years relevant professional experience; or
    • Other tests, courses or programs defined on the English Proficiency Bands page.

Course Details

Choose student type

Semester availability

Semester 1: Study full-time at Joondalup or Online

Semester 1: Study part-time at Joondalup or Online

Semester 2: Study full-time at Joondalup or Online

Semester 2: Study part-time at Joondalup or Online

Semester availability

Semester 1: Study full-time at Joondalup or Online

Semester 1: Study part-time Online

Semester 2: Study full-time at Joondalup or Online

Semester 2: Study part-time Online

Course Structure

Year 1 - Semester 1
Unit Code Unit Title Credit Points
CSI6208Programming Principles20
MAT5212Biostatistics20
MAT6105Mathematical Fundamentals20
Year 1 - Semester 2
Unit Code Unit TitleCredit Points
Students who commence the course midyear will complete their second and third semesters in reverse order.
MAT6104Applied Multivariate Statistics20
SCI6120Science Communication and Ethics20
CSI6209Artificial Intelligence20
Year 2 - Semester 1
Unit Code Unit Title Credit Points
MAT6206Data Analysis and Visualisation20
CSI6207Systems Analysis and Database Design20
MAT6100Time Series Forecasting20
Year 2 - Semester 2
Unit Code Unit TitleCredit Points
Research or Industry Focused Capstone Project - Default Option
CSI6224 ^Applied Project60

OR

Work Integrated Learning – For Approved Placements

Unit Code Unit Title Credit Points
CSI6223 ^Work Experience Project60

^ Core Option

I97|1

For more detailed unit information for this course take a look at our Handbook. To organise your life for next semester visit the Semester timetable.

Student handbook

Course notes

Important course notes

  • The final semester of the course is entirely centered on an industry relevant project or a work integreated learning (WIL) experience. By default students will be required to undertake CSI6224 Applied Project which is a 60 credit point, whole of semester capstone learning experience. Students will form into discipline related groups to scope, implement and then deliver a substantive industry relevant project that demonstrates the key aspects of their course learning outcomes. Students will work closely with academic and industry project supervisors to manage their time, project scope, quality assurance and communication between all relevant parties.

    Student will also have the option of a full-time semester of WIL through the unit CSI6223 Work Experience Project in their final semester of study. Students undertaking a 12 week full-time work placement will demonstrate discipline knowledge, communication and collaboration skills in addition to a proven professional work ethic whilst undertaking projects in an industry setting. The unit is designed to create an authentic learning experience in an industry setting where students can demonstrate the discipline knowledge and skills acquired throughout their degree. The underpinning learning process is that of independent learning in which aspects of the work experience are reflected upon with a view to altering future behaviour, including academic and professional capabilities. Students will undertake, and be assessed on, authentic activities through engagement with industry and community partners. Students must apply for WIL at the commencement of their second year of stufy and will only be considered for WIL if they have achieved a course WAM of at least 65% at the time of application.

    The School of Science has two WIL-officers who are responsible for establishing and maintaining relationships with prospective hosts and assisting eligible students in finding placements and preparing for them.

    Attendance requirements

    Students enrolled in the WIL unit CSI6223 will be expected to attend a workplace on a full-time basis for the entire teaching semester.

Course Learning Outcomes

  1. Reflect critically on a complex body of data science knowledge, research principles and methods to demonstrate mastery of professional practice.
  2. Apply advanced cognitive and technical skills to analyse complex concepts in authentic data science scenarios.
  3. Apply communication and collaboration skills in designing solutions to data sciences problems.
  4. Use high level self-management skills to initiate, plan and execute a substantial data science focused project.

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.

Fees and Scholarships

Choose student type

AUD $25,650 *

* Domestic fee paying - estimated 1st year indicative fee

The 'Estimated 1st year indicative fee' is provided as a guide only, based on a typical enrolment of students undertaking the first year of this course. At ECU, you pay for the individual units you enrol in, not an overall course fee, so the total cost of your course will vary, depending on what units you choose. An indicative fee will be provided with your course offer, however you can use our Course Fee Calculator to estimate the actual amount you'll need to pay. ECU fees are adjusted annually.

AUD $33,100 *

* International students - estimated 1st year indicative fee

The 'estimated 1st year indicative fee' is provided as a guide only, and has been calculated based on a typical enrolment of students undertaking the first year of this course. At ECU, you pay for each individual unit you enrol in, not an overall course fee, so the total cost of your course will vary, depending on what units you choose. An indicative fee will be provided with your course offer, however you can use our Course Fee Calculator to estimate the actual amount you'll need to pay. ECU fees are adjusted annually.

Scholarships

ECU has a scholarship program that provides many opportunities each year to students undertaking studies here.

Find a scholarship

Career Opportunities

This course provides students with the opportunity to engage in a semester-long work-orientated project or a work-integrated experience. This provides an excellent springboard for employment following this degree. Career pathways available to data science graduates include data scientist, data analyst, machine learning scientist, statistician, informatician, computational scientist. Graduates of this course will also have the option to pursue further study at the PhD level.

Possible future job titles

Data Scientist, Data Analyst, Informatician, Computational Scientist

Become World Ready

Explore your options

Dr Stacey Reinke's research looks at data as the driving force behind understanding biology and disease.

Quick guide to uni-speak

    • ATAR is the Australian Tertiary Admission Rank, the primary criterion for entry into most undergraduate university courses in Australia. The ATAR is a percentile score which denotes a student's ranking relative to their state-wide peers upon completion of their secondary education.

    • CRICOS is the Commonwealth Register of Institutions and Courses for Overseas Students. A CRICOS code is allocated to education institutions (like ECU) who are approved to recruit, enrol and deliver education to overseas students. Courses with a CRICOS code are available to international students who meet the entry requirements.

    • A major, or unit set, is your chosen area of in-depth study in an undergraduate course. It usually involves 8 units of study, or one-third of the units in a 3-year degree. Talk to your Student Information Office if you need help choosing a major subject.

    • Minors include between 4 and 6 study units in a specific discipline. Not all courses require you to complete a minor. Your minor subject doesn't appear on your printed degree (parchment), but is part of your academic transcript.

    • If you're enrolled in 3 or more units in a semester this is considered full-time study. To complete most 3-year degrees studying full-time you'll need to complete 4 units per semester, i.e. 24 units over 3 years.

    • If a course is available to study part-time you can generally expect it to take twice as long to complete as it would in full-time mode. Part-time students are enrolled in 1 or 2 units maximum per semester.

      Note: International students who hold a student visa can only choose the full-time study option for our courses. This is to ensure the course is completed within the duration of the student visa.

    • Most courses start in Semester 1 each year, usually in the last week of February. Some courses can be started in Semester 2 (we call this mid-year). There's a week of Orientation before each semester to help you get used to uni life.

    • A lot of our courses start in Semester 2 each year, usually in the last week of July. We call this mid-year. There's a week of Orientation beforehand to help you get used to uni life.

    • We use a points system to make it easier for you to understand your study progress. Most Bachelors degree study units are allocated 15 credit points. If you're studying a 3-year full-time degree you'll need to successfully complete 360 credit points - that's 24 units x 15 points per unit.

    • These are compulsory units you have to successfully complete as part of your course.

    • An elective is a unit you choose to study that counts towards your course requirements, but isn't compulsory. For some courses we recommend elective units. In some situations, a course coordinator may approve an elective unit as a replacement for a compulsory one.

Do you have any questions about the Master of Data Science?