Master in Machine Intelligence and Data Science

Arcada University of Applied Sciences in Helsinki presents a compact, career-oriented learning environment with strong Nordic connections and an international outlook. Founded in 1996 and serving around 2,700 students, Arcada retains a Swedish-speaking heritage while offering a range of English-taught programs that emphasize practical skills, sustainability, and close collaboration with local industry. The university's scale supports personalized guidance and active engagement between students and faculty.

Academic strengths include Business Management, Energy and Materials Technology, Health and Welfare, and Culture and Media, supported by modern facilities and applied research with societal impact. Curricula are designed in partnership with employers so students gain hands-on experience, internships, and project work that translate directly to regional and international career opportunities. Small class sizes and cross-disciplinary projects foster teamwork, entrepreneurship, and portfolio development.

International students benefit from targeted admissions support, career services, and an inclusive campus culture. Living in Helsinki means high quality of life, accessible public transport, and abundant cultural and professional networking options across the Nordic region. For students seeking a practical, sustainability-minded education with strong industry ties and a supportive community, Arcada offers clear pathways to professional growth and a welcoming international experience.

The Master in Machine Intelligence and Data Science is a 1-year program for those with prior programming experience. It equips students with skills to transform data into insights, focusing on machine learning and data engineering.

The curriculum emphasizes practical applications, with hands-on projects and case studies. Students will learn data-driven problem-solving, tackling real-world challenges.

Graduates can pursue roles like Data Scientist, Machine Learning Engineer, and Big Data Analytics Manager. They will be prepared for leadership positions in data-driven environments, making them valuable assets to their organizations.