The University of Queensland
Address
Brisbane, Queensland, Australia
Faculty
Faculty of Engineering, Architecture and Information Technology
Campus
St Lucia
Course code: #5660
postgraduate
DegreeMaster of Data Science (Coursework)
Quick facts
-
Annual tuition (2022)
$47,264 AUD
-
Application fee
$100 AUD
-
Duration
2 years
-
PSW
2 years
-
Min GPA
5 out of 7
-
CRICOS code
092454G
These are mandatory and all come with course.
These items are optional and you can choose them as you wish after applying for the course.
Deadlines
Overview
Master of Data Science
Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.
This is Australia's most comprehensive data science program, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes.
It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.
At the University of Queensland, you'll study advanced computing, statistics and mathematics topics and your choice of electives from business, finance, health or science.
Across the program, you'll learn how to make informed decisions in data-intensive environments.
You'll use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication and more.
In your final year, you'll also complete projects relevant to the industry.
Since data underpins the digital economy, data scientists have enormous opportunities to revolutionise how we work, live and communicate.
If you come from a business background, our Master of Business Analytics may be the program for you.
While both programs address data analytics functions, the Master of Data Science provides technical expertise.
At the same time, the Master of Business Analytics will teach you how and why to make business decisions using data.
Estimate your cost
Residency
Count of person
$62,214
Total costs
yearly
Details
| Cost of living | 1 person | $10,344 |
| Accommodation | 1 bed room | $14,950 |
| Tuition | 1 person | $47,264 |
Hourly wage
Min wage
23.23 AUD / 1 hour
in Australia every student can work 48 hour per fortnight
Required documents
- Academic/Official Transcripts
- Proof of English Language Proficiency (If Applicable)
- Passport or alternative official form
- Evidence of relevant work experience (if required)
Language requirements
IELTS
6
listening
6
writing
6
speaking
6
reading
TOEFL
21
listening
21
writing
21
speaking
21
reading
PTE
60
listening
60
writing
60
speaking
60
reading
Cambridge
169
listening
169
writing
169
speaking
169
reading
Package offers
You may be eligible for a package offer if you meet all the academic entry requirements for your preferred UQ program but need help to meet the English language requirements.
If your overall IELTS score is 5.0 or above (or equivalent), join our EAP or BE classes.
- Bridging English (BE): study for between 10 and 30 weeks. Then, you can use the final assessment to satisfy your UQ program's English language entry requirements.
- English for Academic Purposes (EAP): study for between 5 and 45 weeks. Take an approved English language test at UQ College at the end of the course to show you meet UQ's English language entry requirements.
EAP Level 3
| Minimum Overall Score | Minimum Sub Scores | result | |
|---|---|---|---|
| UQ College | Grade of 4 in GE Level 2 | No sub-score lower than C | |
| IELTS (International English Language Testing Service) | 5.0 | 5.0 | 5.5 |
| TOEFL iBT (Internet-based Test of English as a Foreign Language) | 56 | S:15, L:12, R:12, W:17 | |
| Pearson | 42 | 42 | |
| Cambridge | 154 | 154 |
EAP Level 4
| Minimum Overall Score | Minimum Sub Scores | result | |
|---|---|---|---|
| UQ College | Grade of 4 in EAP Level 3 | No sub-score lower than C | |
| IELTS (International English Language Testing Service) | 5.5 | 5.5 | 6.0 |
| TOEFL iBT (Internet-based Test of English as a Foreign Language) | 70 | S:17, L:17, R:17, W:19 | |
| Pearson | 49 | 49 | |
| Cambridge | 162 | 162 |
EAP Level 5
| Minimum Overall Score | Minimum Sub Scores | result | |
|---|---|---|---|
| UQ College | Grade of 4 in EAP Level 4 | No sub-score lower than C | |
| IELTS (International English Language Testing Service) | 6.0 | 6.0 | 6.5 |
| TOEFL iBT (Internet-based Test of English as a Foreign Language) | 78 | S:19, L:19, R:19, W:21 | |
| Pearson | 60 | 60 | |
| Cambridge | 169 | 169 |
BE entry and exit requirements for UQ programs that require Academic IELTS 6.5 (no score less than 6.0) or equivalent
| IELTS | TOEFL | Pearson | Cambridge | |
| BE 30 weeks | 5.0, no sub-score less than 5 | 56 S:15 L:12 R:12 W:17 | 42, no sub-score less than 42 | 154, no sub-score less than 154 |
| BE 25 weeks | 5.5, no sub-score less than 5 | 70 S:15 L:12 R:12 W:17 | 49, no sub-score less than 42 | 162, no sub-score less than 154 |
| BE 20 weeks | 5.5, no sub-score less than 5.5 | 70 S:17 L:17 R:17 W:19 | 49, no sub-score less than 49 | 162, no sub-score less than 162 |
| BE 15 weeks | 6.0, no sub-score less than 5.5 | 78 S:17 L:17 R:17 W:19 | 60, no sub-score less than 49 | 169, no sub-score less than 162 |
| BE 10 weeks | 6.0, writing 6.0, no other sub-score skill less than 5.5 | 78 S:17 L:17 R:17 W:21 | 60, S:49 L:49 R:49 W:60 | 169, S:162 L:162 R:162 W:169 |
Academic background and requirement
Prerequisite:
- a bachelor's degree (or equivalent) in a relevant discipline (see below), or
- a bachelor's degree (or equivalent), which includes all of the relevant discipline content (see below), or
- to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science.
Relevant disciplines for previous qualifications:
Relevant disciplines include information technology, computer science, statistics, mathematics, engineering, physics and actuarial studies.
If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2-year degree only):
- calculus or advanced mathematics or higher mathematics or mathematical analysis, and
- at least 2 courses from 2 of the following:
- linear algebra
- programming or C Language or object oriented (OOP) or java/software engineering
- databases or data structures or algorithms or data mining
- probability or statistics
- computational mathematics or numerical analysis or differential equations, or multivariate analysis
You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification.
Career opportunities
- Market researcher
- Data scientist
- Risk analyst
- Supply chain analyst
- Business intelligence analyst
- Data miner
- Big data engineer
- Portfolio manager
- Actuarial and analytics consultant
- Software developer
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