| Program start date | Application deadline |
| 2024-07-29 | - |
| 2025-03-03 | - |
Program Overview
The Bachelor of Data Science program equips students with the skills and knowledge to harness data for decision-making and forecasting. Through hands-on experience with data management tools, students gain insights into data analysis, machine learning, and big data architecture. The program prepares graduates for careers in data science, including roles in government, marketing, finance, and healthcare.
Program Outline
Degree Overview:
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.
Outline:
The program provides a comprehensive understanding of the principles, techniques, and applications of data science. The course content includes:
- Introduction to programming
- Data science principles
- Data visualization
- Machine learning
- Big data architecture and application
- Cloud computing architecture
- Software architectures and design
- Software deployment and evolution The course is structured as follows:
- Year 1: Core units in programming, technology, and data science principles.
- Year 2: Major units in computing technology, cloud computing, big data, and professional work placement (optional).
- Year 3: Core units in computing technology projects and elective units.
Assessment:
Assessment methods include:
- Assignments
- Quizzes
- Exams
- Projects
- Presentations
Teaching:
The program is taught by experienced faculty members who are actively engaged in research and industry. The teaching methods include:
- Lectures
- Tutorials
- Labs
- Group projects
Careers:
Graduates of the Bachelor of Data Science program will be qualified for a wide range of careers in the field of data science, including:
- Data scientist
- Data analyst
- Business intelligence developer
- Data infrastructure architect
Entry Requirements:
- Successful completion of the Victorian Certificate of Education (VCE) or its equivalent, such as an interstate or international Year 12 qualification.
- Completion or partial completion of an approved tertiary qualification (including certificates IV (completed), diplomas, advanced diplomas, associate degrees and degrees).
ATAR Guaranteed Entry Score
- 70.0
Prerequisites:
- VCE Units 3 and 4 – a minimum study score of 25 in any English (except EAL) or 30 in English as an Additional Language (EAL) or equivalent.
- VCE Units 1 and 2 - satisfactory completion in two units (any study combination) of any Mathematics or equivalent.
Language Proficiency Requirements:
- Satisfactory completion of one of the following:
- IELTS overall band of 6.0 (Academic Module) with no individual band below 6.0
- Swinburne’s English for Academic Purposes (EAP 5 Advanced level) with overall 65%, all skills 65%
- or equivalent measures available at English language requirements.
