Data Science Reykjavík University

Overview

Reykjavík University is recognised for its innovative approach to education, particularly in the field of data science. The university ranks highly in Iceland for its academic excellence and has established partnerships with leading companies, providing students with unique opportunities for collaboration and internships. The facilities are state-of-the-art, ensuring students have access to the latest technology and resources to enhance their learning experience.

For international students, the tuition fee is ISK 980,000 per semester. European students benefit from a reduced fee of ISK 449,000 per semester. Visit the Fees and Funding section for a breakdown in your local currency.

The MSc in Data Science offers a comprehensive curriculum that combines theoretical knowledge with practical skills. The programme structure includes mandatory courses as follows:

• Applied Statistics for Data Science
• Software Project Management
• Fundamentals of Machine Learning
• Statistical Modelling & Computation
• Research Methodology
• Deep Learning
• Applied Data Science

Students can choose between a course-based track, which includes 90 ECTS of courses and a 30 ECTS thesis, or a research-based track, which focuses on advanced coursework leading to a 60 ECTS research thesis.

Data science professionals are in high demand across various sectors, including healthcare, finance, and technology. The ability to analyse and interpret data is crucial for improving decision-making and operational efficiency in these industries. Graduates from this programme are well-prepared to meet the growing needs of employers seeking data-savvy individuals.

The programme offers opportunities for internships with industry partners, allowing students to gain practical experience and apply their knowledge in real-world settings. This hands-on approach enhances employability and provides valuable insights into the data science field.

Graduates of the MSc in Data Science can pursue various career paths, including data analyst, machine learning engineer, and database administrator. Alumni have successfully secured positions in renowned companies and organisations, contributing to significant projects that leverage data for strategic advantages. The skills acquired during the programme prepare students for a dynamic job market where data-driven decision-making is paramount.