Harness the power of data for a career at the forefront of data-driven decision making and forecasting. Get hands-on with the tools used to manage big data sets and gain insight into how data is used to solve problems and even spot them before they arise. Make yourself an indispensable member of any business with roles in government, marketing, finance, healthcare and more.
Course details
Course objectives
Students who successfully complete this course will be able to:
- Apply a broad and coherent knowledge of data science in diverse contexts and domains using critical thinking and judgment
- Employ appropriate methods and contemporary tools used in different domains of data science
- Communicate proficiently to a variety of audiences, function as an effective member or leader of a team, and use the contemporary tools and practices of project management within project work
- Demonstrate professionalism, integrity, ethical conduct, professional accountability and an awareness of professional practice in a global context
- Utilise data analysis and decision-making methodologies to glean insights into industry relevant problems for the benefit of organisations
- Reflect on personal performance, learning, and self-management processes as a means of continued professional development.
Course structure
For the completion of Bachelor of Data Science, students are required to complete a total of 24 units (300 credit points) consisting of:
- 8 units in core studies (100 credit points)
- 8 units in major study (100 credit points)
- 8 units of other studies (100 credit points) comprising a co-major, minor, advanced minor, internship or electives
Units of study
Core Units
8 units (100 credit points)
Units | Unit codes | Credit points |
---|---|---|
Introduction to Programming | COS10009 | 12.5 |
Web Technology Project | COS10026 | 12.5 |
Networks and Switching | TNE10006 | 12.5 |
Computer Systems | COS10004 | 12.5 |
Object Oriented Programming | COS20007 | 12.5 |
Technology in an Indigenous Context Project | COS10025 | 12.5 |
Computing Technology Project A* | COS40005 | 12.5 |
Computing Technology Project B* | COS40006 | 12.5 |
Major: Data Science
8 units (100 credit points)
Units | Unit codes | Credit points |
---|---|---|
Cloud Computing Architecture | COS20019 | 12.5 |
Database Design Project | COS20031 | 12.5 |
Computing Technology Innovation Project* | COS30049 | 12.5 |
Software Architecture and Design* | SWE30003 | 12.5 |
Data Science Principles | COS10022 | 12.5 |
Big Data Architecture and Application* | COS20028 | 12.5 |
Data Visualisation* | COS30045 | 12.5 |
Software Deployment and Evolution | SWE40006 | 12.5 |
Electives/Minor/Second Major
8 units in other studies (100 credit points)
Fees & scholarships
Fee*
* The indicative course fees shown here applies to students studying on-campus in Malaysia for the relevant year only. They are based on a standard study load per year. However, please note that fees are assessed according to a student’s study load in each semester, and variation to study load will result in an adjustment to tuition fees. All fees are subject to annual review and may be adjusted.
Scholarships
At Swinburne scholarships are about providing opportunity, promoting equity and recognising excellence and achievement. Scholarships are available for both commencing and current students.
Find your scholarship
Entry requirements
Entry Requirements
English Requirements
Application process
Apply for this course by following the step-by-step process from the links below.
- Learn more on the application process
Career opportunities
Bachelor of Data Science graduates will have extensive skills in data science, particularly relating to medium- and large-scale projects. They will have developed experience in working in team projects and will have well-developed orang and written communication skills, with potential career options as data scientist, data engineer, machine learning engineer, data warehouse architect, and data analyst.