Gothenburg, Sweden
The Master in Applied Data Science at University of Gothenburg is a 2.0 year long program for international students taught in English.
The University of Gothenburg is a large public research university located in Sweden’s second-largest city. Known for its breadth of disciplines and research strength, the university serves tens of thousands of students and hosts a substantial international community. Academic offerings span natural sciences, social sciences, humanities, fine arts and health sciences, with dedicated research centers in areas like marine science, neuroscience and sustainability.
Teaching combines strong research input with an emphasis on sustainability, innovation and multidisciplinary collaboration. International master’s programs, exchange options and joint degrees make the university attractive to students wanting an internationally oriented education. Faculty and institutes often collaborate with industry and public organizations, giving students practical exposure and avenues for internships, thesis projects and research assistantships.
Gothenburg as a city offers vibrant cultural life, extensive public transport and a commitment to green living, making it a comfortable place for international students. The university provides services for housing, counseling and study support, along with English-taught programs and integration activities. For students who value research-led teaching, sustainability focus and an international campus in a dynamic Nordic city, the University of Gothenburg is a strong choice.
The Master in Applied Data Science at the University of Gothenburg is a 2-year program for students who want to learn how to process and analyze large amounts of data. This full-time on-campus program is taught in English and is ideal for those with a Bachelor's degree.
The curriculum includes courses such as Introduction to Data Science, Python for Data Scientists, and Applied Machine Learning. Students will also develop skills in statistical methods, computational techniques, and research methods. The program allows students to create their own profile by choosing optional courses in areas where data science methods can be applied.
Graduates of this program can pursue careers as Data Scientists, Data Analysts, Business Intelligence Developers, or Machine Learning Engineers. They can work in various industries, including business, healthcare, and finance, and can be employed by companies such as Google, Microsoft, or IBM.
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Tuition
13,423 USD per year
Application Fee
90 USD
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0 USD
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