This degree is no longer offered. You may be interested in other courses in Data analytics
Master of Data Science (Data Analytics)
PostgraduateUSQ-DSC-MAS2024
Course information for 2024 intake View information for 2025 course intake
- Study method
- 100% online
- Assessments
- 100% online
- Credit available
- Yes
- Duration
- 2 years full time or part time equivalent
- Total subjects
- 16
- Available loans
- Australian Higher Education Loan Program (HELP)
- CSP available
- Yes
Master of Data Science (Data Analytics)
About this degree
On completion of the program, students should be able to:
- Autonomously apply key ICT and data science professional knowledge, technologies, and programming skills to critically investigate and analyse contemporary core issues in a global market, and to develop big data analysis and evidence-based decision-making skills.
- Select, adapt, and apply specialised quantitative and technical skills to work independently and collaboratively to process and interpret major theories and concepts associated with big data to solve and interpret complex and real-life problems.
- Work under broad direction within a team environment, manage conflict, and take a leadership role for a task within the project.
- Apply and communicate ethical, legal, and professional standards related to big data privacy and building of a security culture, and assess and evaluate risks in order to comply with customer organisational requirements.
- Investigate, critically analyse, evaluate, and communicate research findings and problem solutions associated with applied data theories and methodologies to specialist and non-specialist audiences.
- UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. From big data management, machine learning and data mining, to programming and big data visualisation, you will be prepared for a career in a dynamic and fast-paced industry. Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market.
Recommended study pattern
Year 1
CSC5020 Foundations of Programming
STA6200 Statistics for Quantitative Researchers
CSC6004 Data Mining
CSC6002 Big Data Management
STA6100 Multivariate Analysis for High-Dimensional Data
CIS8711 Cloud Security
CIS5310 IS/ICT Project Management or CSC6003 Machine Learning
CIS6008 Business Intelligence or CSC6205 Applied Analytics
Year 2
CSC6001 Data Visualisation
CSC6003 Machine Learning or CIS5310 IS/ICT Project Management
CSC6200 Advanced ICT Professional Project
CSC6205 Applied Analytics or CIS6008 Business Intelligence
4 x Electives or MSC6001 Research Project I and MSC6002 Research Project II or SCI6101 Science in Practice, SCI6102 Research Skills, SCI6103 Essentials for Professional Scientists and 1 x Elective
Award requirements
Completion of 16 units as outlined in the Recommended Study Pattern section.Exit points
Graduate Diploma of Data Science, Graduate Certificate of Data Science.
Open Universities Australia is a not-for-profit organisation. You will not pay any fees for using our services.
Indicative total fee $17,896
The amount shown here is indicative for an Australian citizen studying full-time, which is typically 8 subjects per year.
Fees may vary depending on:
- the subjects you choose
- credit from previous work experience
- your eligibility for government funding loans or subsidies such as HECS-HELP or a Commonwealth supported place.
To learn more, go to Fees or contact a student advisor.
As Australia’s #1 university for graduate starting salary (Good Universities Guide, 2022), University of Southern Queensland is the right place to make real progress. Regardless of your education history, your age or your aspirations, at UniSQ you’ll be inspired by quality learning experiences matched with top resources and research. Having delivered distance and online learning for over 40+ years, UniSQ supports you to learn at your own pace—exactly how it suits you.
Learn more about USQ.
Explore USQ courses.
- QS Ranking 2024:
- 24
- Times Higher Education Ranking 2024:
- 24
Entry requirements
- 3-year bachelor degree from an Australian university, or equivalent, in any area; or a minimum of 5 years' professional work experience equivalent to an AQF Level 7 qualification (bachelor). There are inherent requirements that must be met in order to successfully complete this degree. Inherent requirements are fundamental skills, capabilities and knowledge that students must be able to demonstrate in order to achieve the essential learning outcomes of the degree, while maintaining the academic integrity of the degree. Please read and understand the inherent requirements specific to the Master of Data Science before applying. Proof of meeting the English Language Proficiency requirements is also required.
- Exemptions/credit will be assessed based on the UniSQ Credit and Exemption Procedure. Claims for credit for previous study should be submitted prior to or at the time of enrolment. Each claim will be assessed on individual merit in line with UniSQ policy.
Career opportunities
Professional recognition
This masters degree is accredited by the Australian Computer Society (ACS), giving eligibility for ACS membership, and recognition by ACS for certification.Australian job snapshots
Data sourced from Australian Jobs 2023.
Role | Earnings | Employment change |
|---|---|---|
ICT Business and Systems Analysts | Over $120K | Up 62.5% |
Intelligence and Policy Analysts | $93K to $120K | Up 22.6% |
Intelligence Officers | $93K to $120K | N/A^ |
Software and Applications Programmers | $93K to $120K | Up 38.1% |
Software Engineers | N/A^ | N/A^ |
^ There is no data available