As everyone knows, currently, data science is the best area of study and profession. Millions of international students aim for data science courses in abroad countries. One of the most prominent locations for this is Europe. Compiled with many exceptional countries, Europe is the best place to browse top data science programs. Not just to study, the post-grad opportunities in data science are equally better in these countries in Europe. With great study options, you also get excellent career options. Therefore, the time seems right to pursue one of the most popular and successful lines of study in a place like Europe.
However, to get started with your plans, you must know the necessary details. Things like eligibility, cost of study, universities to target etc., are one of the many things that impact your study abroad. If you are planning to go for a data science master’s, get to know these things for a better understanding.
Why Data Science from Europe?
The reasons to pursue data science in Europe can be immense. The first one is data science being the #1 profession in many countries, alongside Europe’s best and most stable economy worldwide. Composed of several developed countries, the European economy makes one of the finest environments to work in. With a data science degree by your side, you can work and switch locations and organizations in Europe. On a global platform such as Europe, an interactive place, students are availed of countless career possibilities. You can expect better results from your data science masters in Europe in the early, mid and later stages of your career.
Speaking of compiled countries, this is exactly what makes Europe the best destination to choose a master’s in Data Science. You get way too many options, and it’s not like the countries you get are any less in quality. You can pursue a master’s in data science in the UK, Germany, Ireland, Switzerland, Netherlands and many other countries. Having such governments and universities there is a blessing. Besides, countries like the UK and Germany are among the best places for academic courses. Europe is a top lotion for data science and other technical studies.
How about income and salaries if these points are not enough to intrigue you? Some European countries generally pay top annual salaries to data science graduates and professionals. For example, the UK has an excellent job market for data science and a handsome pay scale. The average income of a data scientist in Europe is €60,000 (about 48.5 lakhs), with the exception of a yearly bonus. Therefore, Europe registers as the best overall place to study data science.
Data Science in Europe: Eligibility & Fee
To apply for a data science master’s, you must first be eligible. It means that there are a few standard requirements that universities and countries ask of a student. As an applicant, you have to meet these requirements if you are planning for a master’s in data science. Now, while some are flexible, few necessities are not loose at all. Nevertheless, you have to have these things to be eligible here.
Standard eligibility requirement for a Master’s in Data Science:
- a 3-4 year bachelor’s degree (from a recognized university)
- academic transcripts, records and certificates
- GRE/GMAT test scores
- an English language test scores
- application fee
These things are absolutely important when it comes to mastering abroad. In Europe, every country and university will require these few things from their applicants. In some cases, you may find a GRE/GMAT waiver. However, it would be best if you still attempted these tests as they provide more benefits than you may imagine. Besides, having a GFRE/GMAT test score will give you more options. In addition, an English language test (IELTS/TOEFL) is a must as it is required in your visa process.
The fee structure of a master’s degree in data science depends on what country you choose to pursue. On average €20,000 – €50,000 (about 15- 50 lakhs) is the range you are looking for in Europe for the said degree. While Uk can be expensive, countries like Netherland and Denmark are cheaper options. On the other hand, many German universities offer free data since masters (as German public universities are free of cost). However, you should keep your minimum budget to 20 lakhs yearly, and it can reach somewhere around 40 lakhs annually if you choose to do it from top universities.
Data Science in Europe: Top Universities
Your options after graduation are as good as the university you have done it from. If you do not aim for the top universities to do data science masters, what is the point of spending such money and valuable time studying abroad? On the other hand, if you choose to go to European universities, you should only target the top ones as more than enough options are available. Besides, nowadays, the process is much easier, and you can apply anywhere you prefer abroad.
If you plan to apply, you must know the best universities to study data science. European countries, specifically the UK, Germany, and Ireland, are the best places for data science masters. Try keeping your options here first, then going to other countries depending on your budget. Keep your career goals and preferences in check as well. It is never necessary to choose a top country with opposite choices.
Here are the top universities in Europe to do Master’s in Data Science:
No. | University | Location |
1 | University of Warwick | UK |
2 | The University of Edinburgh | UK |
3 | The University of Manchester | UK |
4 | Imperial College London | UK |
5 | Trinity College Dublin | Ireland |
6 | ETH Zurich | Switzerland |
7 | London School of Economics & Political Science | UK |
8 | Technische University | Germany |
9 | King’s College London | London |
10 | University of Amsterdam | Netherland |
Conclusion
As a continent, Europe has one of the best economies, which makes it the best place to stay and work after graduation. Data science is widely popular in European countries, and you can find many, many top universities offering courses under the particular program. Also, you get countless options to have different lifestyle experiences based on the country of your choice. So if you think about when to start, stop thinking and start planning.