10 Popular Universities in Australia for Masters in Data Science Accepting TOEFL iBT®
"Many top Australian universities, including the University of Melbourne, Monash, and ANU, accept TOEFL iBT scores for Master's Data Science programs. Find score requirements, fees, and key details here to prepare for admission!"
Key Highlights
A Master of Data Science has become a high-demanding program in Australia as global companies need to make sense of the massive amount of data being generated every second of the day in order to make informed business decisions. Therefore, studying from one of the popular universities in Australia for Masters in Data Science accepting TOEFL iBT has also become popular among international students.
This blog will cover the top 10 popular universities in Australia for Masters in Data Science accepting TOEFL iBT and outline specific score needs and other important details.
List of 10 Popular Universities in Australia for Masters in Data Science Accepting TOEFL iBT
Top Australian universities, including the University of Melbourne, The University of Sydney and RMIT University, accept TOEFL iBT score for Masters in Data Science, which is a beneficial program for developing practical data science abilities. These programs provide a thorough grasp of a variety of data science tools and techniques, including data analysis and because of the practical aspect of the program, alumni can anticipate having strong work chances after graduation.
Here are the 10 popular universities in Australia for Masters in Data Science accepting TOEFL iBT :
|
QS Subject Ranking 2024 (Data Science & AI) |
University |
Program Name |
Courses Covered |
|
26 |
The University of Melbourne |
Master of Data Science |
Scientific communication, core computer science subjects and Capstone data science project |
|
34 |
Monash University |
Master of Data Science |
Data analysis, data pre-processing, data science objectives, and visualisation along with choice on Data Science electives |
|
40 |
University of Technology Sydney |
Master of Data Science and Innovation |
Data visualization, machine learning, and data ethics, focusing on innovative approaches to data science. |
|
43 |
The University of Sydney |
Master of Data Science |
Data mining, machine learning, and data visualization focusing on communicating data insights to key stakeholders. |
|
48 |
Macquarie University (Sydney, Australia) |
Master of Data Science |
Data analytics, statistical learning, and big data processing, with options for specialization in various data science fields. |
|
=49 |
Australian National University (ANU) |
Master of Applied Data Analytics |
Statistical learning, data wrangling, and data visualization, emphasizing practical applications of data analytics. |
|
51-70 |
The University of New South Wales (UNSW Sydney) |
Master of Data Science |
9 core courses covering machine learning, databases, and statistics, plus 3 electives allowing for specialization. |
|
- |
University of Queensland |
Master of Data Science |
32 units including Responsible Data Science, Introduction to Software Engineering, Social Media Analytics, Advanced Bioinformatics and Longitudinal & Correlated Data |
|
- |
RMIT University |
Master of Data Science |
Data mining, statistical modeling, and machine learning, with a focus on practical data science skills. |
|
- |
University of Western Australia |
Master of Data Science |
Data management, machine learning, and statistical modeling, with opportunities for industry placements and research projects. |
These programs at Australia's top educational institutions are available in both full-time and part-time arrangements and the curriculum usually lasts two years.
TOEFL iBT Scores for Masters in Data Science in 10 Popular Universities in Australia
There are more than 10 universities in Australia that offer Masters in Data Science and accept TOEFL iBT score as a criterion for admission. Although the required score varies, the minimum score range for Masters in Data Science ranges from 79 to 93.
The following table summarizes TOEFL iBT scores and average Masters in Data Science fees for programs in top Australian universities.
|
University |
Overall TOEFL iBT Requirements |
Module-Specific TOEFL iBT Requirement |
Average Annual Tuition Fees (AUD) |
|
The University of Melbourne |
79+ |
Writing: 21, Speaking: 18, Reading: 13, Listening: 13 |
44,512 |
|
Monash University |
79 |
Reading: 13. Listening: 12. Writing: 21. Speaking: 18 |
45,000 |
|
University of Technology Sydney |
85 |
At least 21 in Writing |
43,200 |
|
The University of Sydney |
85 |
19 in Reading, 17 in Listening, 17 in Speaking, 22 in Writing |
49,000 |
|
Macquarie University (Sydney, Australia) |
83 |
13 in Reading, 12 in Listening, 18 in Speaking, 21 in Writing |
39,800 |
|
Australian National University (ANU) |
80 |
20 in Reading and Writing, 18 in Speaking and Listening |
47,940 |
|
The University of New South Wales (UNSW Sydney) |
90 |
23 in Writing, 22 in Reading, listening, and speaking |
49,600 |
|
University of Queensland |
87 |
19 in Reading, Listening, and Speaking, 21 in Writing |
44,544 |
|
RMIT University |
79 |
21 in Writing, 18 in Speaking, 13 in Reading, 13 in Listening |
41,280 |
|
University of Western Australia |
82 |
22 in the Writing, 18 in the Reading, 20 in the Speaking and Listening |
39,500 |
To conclude, a balanced TOEFL iBT score reflects strong English proficiency, critical for success in academic settings. But scores above the minimum requirement can strengthen your application in competitive programs. So, ensure adequate preparation for both overall and sectional TOEFL iBT scores to secure admission in one of the 10 popular universities in Australia for Masters in Data Science accepting TOEFL iBT scores.
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