Course code: #MDSC
These are mandatory and all come with course.
Suppose you graduate with a previous degree in information technology or computer science but are looking to upgrade and extend your knowledge and skills in this dramatically changing area.
In that case, the Flinders Master of Data Science provides the perfect opportunity.
Continuing advances in technology and the growing complexity of big data lead us toward a world where an incredible amount of information is at our fingertips.
It’s also creating a need for specialists who can make sense of and find new insights from all that information to develop innovative solutions.
Flinders Master of Data Science will give you the skills to analyze complex data, form powerful insights and communicate new ideas to help solve the myriad challenges faced by government and industry in the 21st century.
The Master of Data Science involves significant project work, notably a major individual project that may tackle an industry-relevant problem or a research question.
$46,200
| Cost of living | 1 person | $11,784 |
| Accommodation | 1 bed room | $10,700 |
| Tuition | 1 person | $35,500 |
Note: Certified copies of documents may be required as part of the offer acceptance process.
Duolingo: Overall 95-100, Up to and including Semester 2, 2023
Applicants who do not meet the University’s English language entry requirements and need to improve their English language proficiency can do so through the approved English Language Instruction Course for Overseas Students (ELICOS) providers.
This means that you can attend the required English language tuition at approved ELICOS providers and gain direct entry* into university without an IELTS or TOEFL test (in SACE & English College of Adelaide).
Flinders' approved providers are listed below:
TAFE SA, EYNESBURY COLLEGE, SACE, and English College of Adelaide
*Not applicable for Bachelor of Nursing (Pre-Registration) or the Bachelor of Nursing (Graduate Entry)
| IELTS Score | Recommended Course | Weeks | |||
|---|---|---|---|---|---|
| Have | Need | ||||
| 2.5 - 4.0 | > | 4.5 | > | General English | 10 - 30 |
| 4.5 | > | 5.5 | > | EAP 20 | 20 |
| 5.0 | > | 6.0 | > | EAP 20 | 20 |
| 5.0 | > | 5.5 | > | EAP 20 | 10 |
| 5.5 | > | 6.0 | > | EAP 20 or EAP Advanced (Part 1) | 10 |
| 5.5 | > | 6.5 | > | EAP Advanced (Part 1 and Part 2) | 20 |
| 6.0 | > | 6.5 | > | EAP Advanced (Part 2) | 10 |
| 6.0 | > | 7.0 | > | EAP Advanced (Part 1 and Part 2) | 20 |
| 6.5 | > | 7.0 | > | EAP Advanced (Part 2) | 10 |
Applicants must normally hold a bachelor's degree or equivalent qualification in computer science, information technology, ICT-based mathematics, statistics or a closely related discipline or hold the Graduate Diploma in Data Science.
Knowledge of at least second-year undergraduate level study in computer science and high school mathematics is assumed.
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