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Arcada Master in Machine Intelligence and Data Science
Arcada

Master in Machine Intelligence and Data Science

Helsinki, Finland

1 Years

English

Full time

22 Jan 2025

Aug 2025

EUR 12,000 / per year

Distance Learning, On-Campus

Introduction

Machine Intelligence and Data Science (MIND) gives you an in-depth understanding of how to make use of data to create insights. This master's degree program is arranged so that you rapidly gain a broad knowledge of the essential concepts of big data analytics: descriptive and predictive modelling, and the construction of machine learning pipelines. The programme emphasises the importance of understanding how to build analytical solutions with production-level code.

The studies in MIND are conducted in a research-oriented environment. Our researchers cover a wide range of interests in analytics and machine learning applications that you as a student or employer can benefit from when pursuing your domain applications. These include computer vision, machine learning operations (MLOps), trustworthy artificial intelligence (AI), interaction-based learning, text analytics, the Internet of Things, robotics, physics and chemistry applications, and financial engineering.

This programme is intended for people with experience in programming and software development, and two years of relevant working experience. MIND involves a complete method renewal in companies – to learn how to make practical use of machine learning. As a student, you will gain new insights, even after years of working. If you are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods, then this programme is for you.

During the academic year 2023–2024, lectures are held on Thursdays and Fridays every second week between 13:00 and 18:00. Changes may occur for the following academic year.

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Student Testimonials

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Curriculum

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Career Opportunities

Program Outcome

Scholarships and Funding

Program Admission Requirements

Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.

About the School

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