Introduction
Learn how to read, interpret and manage the world’s information
Data analysis and modelling underpins all aspects of social and community development and thanks to the internet and smart phones there has been a dramatic growth in the scale and complexity of data that can be collected and analysed across industries including health care, sports, business practices, scientific discoveries and government policy.
To help process and navigate this vast and ever-growing mass of data, the industry desperately needs trained specialists who can understand and interpret vast amounts of data (big data), while providing effective and ethical ways to protect the privacy of that information.
Using a unique combination of interdisciplinary coursework, a strong background in research methodology and comprehensive training via industry-based projects (work-integrated learning), this course will uniquely position graduates of this course to become leaders in this field in either industry, the government sector or academia.
This course offers the chance to specialise in Sports Analytics, Business Intelligence, Artificial Intelligence & Computational modeling.
Study a Master of Data Science at UC and you will:
- Learn the knowledge and skills to read and interpret Big Data
- Become proficient using state-of-the-art industry tools
- Learn how to critically analyse databases and offer innovative solutions
- Gain practical skills working on real world issues
- Learn and apply professional ethics, teamwork, critical analysis, communication and management skills.
- Build strong industry networks
- Earn an industry recognised and respected qualification
- Be in demand
Work Integrated Learning (WIL)
Career opportunities
- Data scientist
- Data engineer
- Data analyst
- Business analyst
- Statistician
- Software developer
- Data warehouse operator and manager
- Computer network analyst
- Consultant
Admission Requirements
Requirements
An Australian bachelor degree in any field or equivalent.
Information on admission closing dates can be found here.
English Language Requirements
Academic IELTS of 6.5 or equivalent, with no band score below 6.0
Fees
Information for Fee Paying Students
Year | Domestic | International |
---|---|---|
2021 | $29,500 | $33,000 |
The fees detailed above are the annual fee rates for the course. The annual rate is the fee that applies to standard full-time enrolment, which is 24 credit points. The final fee charged is based on the proportion of 24 credit points in which a student enrols. Students enrolled in a Commonwealth Support Place (CSP) are required to make a contribution towards the cost of their education, which is set by the Commonwealth Government. Information on Commonwealth Supported Places, HECS-HELP and how fees are calculated can be found here.
Typical Study Pattern
Course Information
Course Requirements
In addition to course requirements, in order to successfully complete your course you may need to meet the inherent requirements. Please refer to the inherent requirements statement applicable to your course.
Course Duration
Standard 2 years full-time, or part-time equivalent. Maximum duration - 6 years.
Unit Delivery Modes
Each unit within your course may be offered through the following delivery modes:
UC - Canberra, Bruce
Evenings: | The unit is delivered on-campus and face to face on weekday evenings. |
Flexible: | The unit combines online study with optional on-campus, face to face activities. |
Placement: | The unit involves an internship, practicum or other work place experience program. Some on-campus, face to face activity may also be required. |
On Campus: | The unit is delivered on-campus and face to face, supplemented with online content. Most classes are run on weekdays and during business hours. |
Online: | The unit is studied completely online. On-campus, face to face interaction is not required. |
Check how each of your units are delivered in the Course Requirements section.
Admission Periods
Year | Location | Domestic | International |
---|---|---|---|
2021 | UC - Canberra, Bruce | Semester 1 Semester 2 |
Semester 1 Semester 2 |
2022 | UC - Canberra, Bruce | Semester 1 Semester 2 |
Semester 1 Semester 2 |
2023 | UC - Canberra, Bruce | Semester 1 Semester 2 |
Semester 1 Semester 2 |
Assumed Knowledge
Year 12 mathematics and functional knowledge of using computer systems.
Awards
Award(s) | Official Abbreviation |
---|---|
Master of Data Science | MDS |
Master of Data Science in Sports Analytics | MDS SportAnalytics |
Master of Data Science in Business Intelligence | MDS BusIntelligence |
Master of Data Science in AI and Computational Modelling | MDS AICompModelling |