Top Countries to Study MS in Data Science with Average TOEFL iBT® Score
"Find out which countries are the best for studying MS in Data Science, their average TOEFL score requirements, and the specialisations they offer."
Key Highlights
- Top Countries to Study MS in Data Science with Average TOEFL Score
- Top 10 Universities in USA for MS in Data Science with TOEFL Scores
- Top 10 Universities in UK for MS in Data Science with TOEFL Scores
- Top 10 Universities in Canada for MS in Data Science with TOEFL Scores
- Top 10 Universities in Australia for MS in Data Science with TOEFL Scores
- Top 10 Universities in Germany for MS in Data Science with TOEFL Scores
- How to Choose the Best Country to Pursue an MS in Data Science?
Data Science has emerged as one of the most in-demand fields for international students seeking to pursue careers in data analysis and machine learning. As businesses continue to harness the power of data for innovation and growth, an MS in Data Science equips you with the knowledge and tools to thrive in this evolving industry.
For international students, TOEFL iBT® scores are crucial for gaining admission to universities in English-speaking countries. To guide you through your academic journey, here are the top 5 countries offering MS in Data Science and their average TOEFL score requirements. Let’s explore the specialisations available in these countries, followed by a list of top universities and their TOEFL score requirements.
Check Out: Top 5 Hacks to Crack TOEFL iBT® Exam in First Attempt
Top Countries to Study MS in Data Science with Average TOEFL Score
Here are the top 5 countries to study MS in Data Science with their average TOEFL score requirements and available specialisations:
Country |
Specialisation Areas |
Average TOEFL Score Requirement |
United States |
Machine Learning, Artificial Intelligence, Big Data Analytics, Data Visualization |
80 -100 |
United Kingdom |
Data Analytics, Computational Statistics, Data Engineering, Business Analytics |
85 -110 |
Canada |
Data Mining, Predictive Analytics, Data Visualization, Machine Learning |
85 -100 |
Australia |
Data Engineering, Machine Learning, Data Visualization, Business Analytics |
79 -100 |
Germany |
Data Mining, Machine Learning, Computational Statistics, Data Engineering |
72 -100 |
So, these were the average TOEFL scores for the top 5 countries to study MS in Data Science. Now, let's take a look at the top 10 universities in each of these countries along with their TOEFL score requirements.
Top 10 Universities in USA for MS in Data Science with TOEFL Scores
Here are the top 10 universities in the USA offering MS in Data Science along with their TOEFL score requirements:
Universities in USA |
TOEFL iBT® Score Requirement |
Harvard University |
80 |
Columbia University |
100 |
New York University |
100 |
University of California |
80 |
Carnegie Mellon University |
100 |
Johns Hopkins University |
100 |
University of Michigan |
84 |
Northeastern University. |
100 |
Yale University |
80 |
University of Pennsylvania |
100 |
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Top 10 Universities in UK for MS in Data Science with TOEFL Scores
Here are the top 10 universities in the UK for MS in Data Science along with their TOEFL score requirements to help you plan your application:
Universities in UK |
TOEFL iBT® Score Requirement |
University of Edinburgh |
100 |
King's College London |
100 |
Imperial College London |
92 |
University of Warwick |
100 |
University of Manchester |
100 |
University of Oxford |
110 |
University of Bristol |
88 |
London School of Economics |
100 |
University College London |
100 |
University of Leeds |
88 |
Top 10 Universities in Canada for MS in Data Science with TOEFL Scores
Here are the top 10 universities in Canada for MS in Data Science along with their TOEFL score requirements to assist in your application process:
Universities in Canada |
TOEFL iBT® Score Requirement |
University of Toronto |
89 |
University of British Columbia |
100 |
University of Waterloo |
90 |
Toronto Metropolitan University |
93 |
McGill University |
100 |
Simon Fraser University |
90 |
Carleton University |
86 |
University of Alberta |
100 |
University of Ottawa |
86 |
University of Guelph |
89 |
Check out - MS Colleges & Universities Abroad Accepting TOEFL iBT® Scores in 2025
Top 10 Universities in Australia for MS in Data Science with TOEFL Scores
Here are the top 10 universities in Australia for MS in Data Science with their TOEFL score requirements to help guide your application:
Universities in Australia |
TOEFL iBT® Score Requirement |
University of Sydney |
85 |
Royal Melbourne Institute of Technology |
79 |
University of Queensland |
87 |
University of New South Wales |
90 |
University of Melbourne |
79 |
Monash University |
79 |
Swinburne University of Technology |
79 |
Queensland University of Technology |
79 |
La Trobe University |
102 |
University of Western Australia |
94 |
Top 10 Universities in Germany for MS in Data Science with TOEFL Scores
Here are the top 10 universities in Germany for MS in Data Science, along with their TOEFL score requirements to help you in your university selection process:
Universities in Germany |
TOEFL iBT® Score Requirement |
Technical University of Munich |
88 |
RWTH Aachen University |
90 |
Ludwig Maximilian University |
72 |
IU International University of Applied Sciences |
80 |
Free University of Berlin |
95 |
Karlsruhe Institute of Technology |
90 |
University of Mannheim |
72 |
University of Göttingen |
80 |
Otto von Guericke University Magdeburg |
72-94 |
University of Bremen |
95 |
Also Check: Top 10 Universities in Germany Accepting TOEFL Scores
How to Choose the Best Country to Pursue an MS in Data Science?
Here are some simple tips to help you choose the best country for pursuing an MS in Data Science:
1. Look for Top-Ranked Universities:
The quality of education plays a crucial role in your career. Opt for countries that are home to world-renowned universities with strong Data Science programs. Universities offering cutting-edge research opportunities and industry partnerships can give you an edge in your career.
2. Examine Job Opportunities
Consider the job market in the country where you plan to study. Countries like the United States, Canada, the UK, and Australia are known for their booming tech industries and high demand for data scientists. Make sure the country you choose offers ample opportunities for internships and post-graduation jobs.
3. Consider Affordability
Tuition fees and cost of living vary from country to country. Evaluate the overall cost of education, including tuition, accommodation, and living expenses. Look for scholarships, assistantships, or funding opportunities that could help reduce costs.
4. Understand Language Requirements
While many countries offer programs in English, some non-English-speaking countries, like Germany, may require knowledge of the local language for daily interactions. Ensure you meet the language proficiency requirements, such as TOEFL scores, for your program and check if the country offers programs in English.
5. Cultural and Lifestyle Preferences
Every country has its own unique culture and lifestyle. Consider your personal preferences in terms of weather, lifestyle, and social environment. Some countries may offer a more vibrant multicultural atmosphere, while others may be quieter or offer closer-knit communities.
I hope this blog on "Top Countries to Study MS in Data Science with Average TOEFL Score" has been helpful in guiding you through your academic journey. By considering factors like TOEFL scores, specialisations, and top universities, you'll be well-equipped to make an informed decision.
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