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Master in Data Science

Ås, Norway

The Master in Data Science at Norwegian University of Life Sciences is a program for international students taught in English.

The Master in Data Science at Norwegian University of Life Sciences is a program for international students taught in English.

Introduction

Norwegian University of Life Sciences, located in Ås, Norway, is a unique institution that offers you a distinct learning experience. Founded in 1859, it has a strong foundation in education, research, and innovation. You'll find that the university's focus on critical thinking, understanding of enabling technologies, and cultures makes it an attractive choice for international students.

The university specializes in programs covering specific fields, with 4 programs available. Although the exact subjects are not specified, the university's mission to contribute to a knowledge-based and open public debate suggests a strong emphasis on research and academic excellence. You can expect to engage with faculty and peers who are passionate about creating innovation and promoting public confidence in research methods and results.

As a student, you'll be part of a community of 6400 students, with opportunities to engage in campus life, activities, and access to learning resources. The university's location in Ås, Norway, provides a unique setting for your academic journey, with modern facilities and a strong focus on digitalization to support your learning. You'll have the chance to explore the local culture, participate in student clubs, and enjoy the benefits of studying in a Norwegian university town.

About the Program

The Master in Data Science is a 2-year degree at the Norwegian University of Life Sciences, taught in English. It's for students who want to learn how to collect, analyze, and interpret complex data to help organizations make better decisions.

The curriculum covers topics like machine learning, data mining, and statistical modeling. Students gain hands-on experience working with datasets, programming languages, and data visualization tools to develop their analytical skills.

Graduates can work as Data Scientists, Business Intelligence Analysts, Data Engineers, or Quantitative Analysts, in industries like finance, healthcare, or technology, for companies like IBM, Google, or Microsoft.

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