BSc in Data Science Abroad 2025: Top Universities, Fees, Eligibility & Jobs
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A BSc in Data Science is a three year course that combines computational, statistical, and mathematical methods to extract information. While studying this course, you will get opportunities to explore different career options that you can get. Today, the demand for skilled professionals in data science is growing.
If you are skilled and knowledgeable then companies are offering high salaries. In short, turn data into actionable insights for the companies and they'll pay you decent salary. The main objective of data science is to help people make better decisions and uncover new insights that benefit businesses and organisations. In this article, we will discuss the best countries to study BSc Data Science abroad, popular specialisations, admission requirements, and the total budget required to pursue this course internationally.
- Best Universities in the World For BSc in Data Science
- Best Country to Study Data Science
- BSc in Data Science Subjects
- BSc Data Science Fees
- BSc Data Science Job Opportunities
- FAQs Related to BSc Data Science Abroad
Best Universities in the World For BSc in Data Science
Indian students always wish to study in top universities abroad. Maximising their employment and career outcomes is the main reason behind this. The table mentioned below consists of a list of the top universities for Data Science in the world with latest ranking. This will help you in making an informed decision for future choices.
| Top 10 Universities for MS in Data Science | QS Rankings 2025 |
|---|---|
| Massachusetts Institute of Technology | #1 |
| Carnegie Mellon University | #2 |
| University of Oxford | #3 |
| University of California, Berkeley | #4 |
| Nanyang Technological University, Singapore (NTU Singapore) | #5 |
| Harvard University | #6 |
| National University of Singapore (NUS) | #7 |
| ETH Zurich | #8 |
| Yale University | #9 |
| University of Toronto | #10 |
In addition to these universities, there are other BSc Data Science Colleges as well that offer this course at different academic levels.
Best Country to Study Data Science
USA, Canada, UK, and Germany are the top countries for data science courses. Top universities, research opportunities, and strong job markets are key reasons behind this. On top of that, studying Data Science in these countries provides exciting career prospects. Artificial Intelligence, Data Analytics, and Machine Learning are top fields to study.
It may be possible that your study destination choice will be different based on your preferences. It is suggested that you always do research before choosing a course or a country to study.
BSc in Data Science Subjects
Depending on the degree of study, data science can include a wide range of topics. Here are some of the Data Science subjects:
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- Statistics: Studying how to collect, look at, and show data.
- Data Visualization: Making pictures or charts to understand data better.
- Big Data: Learning how to work with very big and tricky sets of data.
- Data Mining: Finding hidden patterns in big data using special tools.
- Data Engineering: Creating systems to collect and handle lots of data.
Popular Specializations in BSc Data Science
As Data Science is continuously evolving, universities offer specialized BSc programs to cater to specific interests and career goals.Here, we have mentioned popular specializations for BSc Data Science
- Data Engineering
- Machine Learning
- Data Analytics
- Artificial Intelligence
- Bioinformatics
- Financial Data Science
BSc Data Science Fees
The cost of pursuing a BSc in Data Science varies on the basis of institution and country. Certain public universities in Germany might cost very less; whereas, universities in the US might be expensive. Going by the data, the BSc Data Science fees can range from Rs. 3 lakhs to Rs. 50 lakhs per year, globally.
In addition to the tuition fee, students also need to pay for accommodation, food, travel, university and course-related costs, etc. It is advised that the students take their application process very seriously so that they may earn a scholarship to study abroad.
BSc Data Science Job Opportunities
Graduates with a BSc in Data Science have access to a wide range of employment options. The following are the potential career paths after graduating with a BSc in Data Science:
- Junior Data Scientist
- Data Analyst
- Business analyst
- Statistician
- Process analyst
- Data solutions analyst
- Data Architect
Students should make a well-informed decision to study data science abroad after conducting enough research, now that they are aware of the many components of the BSc in Data Science course.
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Candidates looking to study abroad can get in touch with our Shiksha Study Abroad Counsellors for assistance with university applications. Candidates can also write to us in the comments section below.
FAQs Related to BSc Data Science Abroad
For FDU Vancouver, the acceptance rate has not been mentioned but, this is one of the campuses of FDU New Jersey University, so, the acceptance rate can be considered as 87%. The acceptance rate signifies that the university is less selective during admission, but, there are a few of the master’s programs of the university that are highly competitive to get into such as MSc in Applied Computer Science.
The University of Rhode Island can be considered a good institution that offers the ideal environment for students to learn & grow.
The institute secures a rank of #152 as part of the latest rankings of National Universities given by a major ranking platform. The institute also secures a US-wide rank of #147 for its undergraduate courses specialising in Business Studies as given by the same source.
Another major ranking platform ranks it #801 as part of its Global Universities Rankings 2025.
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The best countries for pursuing bachelor in Data Science are USA, UK, Canada, and Australia. These nations offer top ranked universities and quality education. Due to this, these study destinations making them popular choices for students worldwide according to 2026 ranking data.