Data science has emerged as a popular subject among students in recent years, and it is not hard to see why. Data is increasingly becoming more valuable to businesses globally, and skilled data science graduates that can interpret and extract meaning from it are in high demand.
Data science combines statistics with computer science. Hence it is a lucrative career option for those who love computing, numbers and have an analytical mind. Degree programs in data science are still evolving. However, studying abroad offers you access to some of the best courses in the world. These courses provide in-depth knowledge and high-quality data science training.
Studying data science abroad expands your core skills and knowledge of the field, and you also get to experience a new country and culture. Studying abroad is a great way to enhance your knowledge, make new connections, improve your language skills and get a valuable degree.
Here we talk about the five best countries.
Germany has been the Mecca for engineers. The European country attracts the most fertile minds to study abroad. Germany has been the flag-bearer for traditional technologies as well as for the modern field of data science. Of course, there are linguistic hurdles, but Germany’s technological supremacy and the enormous learning opportunities outweigh them. Germany’s universities are known for their robust coursework and expansive learnings. The country houses some of Europe’s finest universities like the Technical University of Munich, RWTH Aachen University, Karlsruhe Institute of Technology, and the Technical University of Berlin. The universities offer several courses in data science and machine learning, and you have plenty of flexibility to choose a course as per your requirements. Meeting, connecting, and learning from peers of diverse cultures and backgrounds is a massive benefit of studying in Germany as it attracts students from across the world.
- The United States of America:
When you choose a country to study a course, you also consider the career opportunities in that country. In this criteria, the US edges over its peers. In AI salaries, the USA offers the best entry-level and senior position salaries. According to an estimate, US tech companies spent over $1 billion by 2020 to acquire talent wherever available. Tech giants in the US are keen to fill senior roles and, hence offer an average annual salary of $314,000, due in part to a global talent shortage. Apple has doubled its number of data science-skilled specialists since 2014 and is still scouting new talent. So if you are learning data science in the USA, you are taking the first step towards a prosperous and rewarding career. Massachusetts Institute of Technology and Stanford University are the prominent learning centers in the USA. Since the USA is also known as the melting pot of cultures, you won’t face any hurdles to adjust. There is a massive Indian community in the USA that makes it easier for students to find friends.
- Japan and South Korea:
Traditionally, Asian countries were not known for their educational facilities. Hence, students stormed to the USA and Europe to acquire the best skills from the most reputed colleges and universities. However, the times have changed. The Asian countries have risen to become the leaders in technology development and usage. Japan has invested billions of dollars in data science and machine learning research resulting in many institutions producing efficient talent recently. Japan has a unique Institute and Industries tie-up pattern of education that encourages overseas students to study machine learning in Japan. The country’s seamless and affordable education policy has made Japan a preferred choice among students to learn data science. South Korea too boasts of premier technological universities that offer state-of-the-art infrastructure and cutting-edge skills in big data and machine learning.
Australia has always attracted overseas students for studies as the country provides state-of-the-start learning centres, a comfortable lifestyle, and world-class infrastructure. In recent years, Australian universities have widened their scope and now have highly sophisticated and industry-oriented data science courses. For students pursuing their masters, Charles Sturt University Brisbane offers Information Technology with Data Science program. There is also the Masters in Data Science program from RMIT University. Other premier universities for learning data science in Australia include the University of Newcastle and Charles Sturt University Melbourne campus.
The United Kingdom has always been a major attraction for overseas students since historic times. The trend has continued in modern times too. UK universities now attract overseas students for their top-quality programs in data science and machine learning.
The University of Sussex School of Mathematical and Physical Sciences’ MSc in Data Science course teaches theory and practice of state-of-the-art data science with applications ranging from mathematics to physics and from biology to computer science. Sheffield Hallam University offers a program in MSc in Data Analytics with Banking and Finance. The program develops the learners’ skills so they become excellent data analysts and can apply the skills to finance banking and investment.
India’s education sector has taken giant leaps in recent years. Today, India’s premier education centers are competing with western universities. Hence more and more students now consider India as a serious option while planning their education and studies. Plenty of Indian Universities offer courses in data science and machine learning. Several other training institutes also provide short and long-term customized programs in data science. For example, the INSOFE institute offers PGP in a data science course that is the world’s only data science certificate whose credits are considered first-semester course work across ten collaborative programs in three continents and four countries.