Master in Machine Intelligence and Data Science
Helsinki, Finland
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Aug 2025
TUITION FEES
EUR 12,000 / per year
STUDY FORMAT
Distance Learning, On-Campus
* The application has closed. The previous application was open 8–22 January 2025.
Key Summary
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.
Student Testimonials
Admissions
Curriculum
The master’s thesis project (30 ECTS) consists of a development or research project for a client (e.g. your employer) or a collaboration with Arcada’s researchers, followed by a thesis report. You start working towards your thesis project immediately and get to show your capability of systematically performing a project with a practically applied problem as a starting point. Based on the development needs of the client/researcher, you then develop the thesis project in close cooperation with your supervisor and contact person at the commissioning company.
Program Tuition Fee
Career Opportunities
Examples of future positions
Graduates will be able to work with a wide range of tasks in various industries. Positions include development, research, analysis, and managerial positions, e.g.:
- Big Data Analytics Developer
- Big Data Analytics Manager
- Data Engineer
- Machine Learning Engineer
- Data Scientist
- Principal/Senior Software Developer
- Head of Analytics
- Chief Technology Officer (CTO)
- Senior Analyst
- Consultant
Take on real-world challenges
As a student, you will be involved in projects connected to real-world problems that include elements of both group work and individual achievements. The focus on actual challenges emphasises disruptive problem-solving through analytics service development. Communication and business know-how are emphasised through visual storytelling and value creation.
Program Outcome
What you will learn
- Programming for analytical services
- Data Analytics
- Machine learning
- Data Engineering
- Data visualisation
- Descriptive data mining
- Predictive forecasting
- Decision automation
- Data science and validation of model results
- Planning and development of analytical solutions
- Analytics value creation
Scholarships and Funding
Arcada does not grant scholarships for master’s students, but we do have an early bird offer (see more information above).
One exception is made in the form of a scholarship offered to asylum seekers, refugees and persons who have applied for temporary protection in Finland and who would otherwise be liable to pay tuition fees. This scholarship covers the entire tuition fee for the first academic year without any requirements for academic performance. To be granted the scholarship, the fee-paying students must provide documentation of their status to Arcada's admissions service. Thereafter, to maintain the scholarship, students only need to show that their status has not changed for each new academic year.
Program Admission Requirements
Demonstrate your commitment and readiness to succeed in business school by taking the GMAT exam – the most widely used exam for admissions that measures your critical thinking and reasoning skills.
Download the GMAT mini quiz to get a flavour of the questions you’ll find in the exam.