Machine Intelligence and Data Science (MIND), full-time

Are you looking to tackle real-world data problems and design practical solutions? Arcada's master’s degree programme Machine Intelligence and Data Science (MIND) develops your ability to turn data into insight and deploy working systems. You will build a solid grounding in machine learning and data engineering, covering descriptive and predictive modelling, feature engineering, and the design, testing, and deployment of robust ML pipelines. We emphasise writing maintainable code and delivering usable solutions.Do you have a dataset or problem from your workplace or research group? You may use it in selected courses, projects, and your master’s thesis (subject to feasibility and data-governance review). We support NDAs, anonymisation, and ethical approvals where applicable. Typical outcomes include a reproducible pipeline, an evaluation report, and a deployment-ready prototype. If you are facing big-data challenges, MIND helps you scope, model, and operationalise solutions. You will learn practical methods for data engineering, scalable ML, experimental design, and performance/cost trade-offs. We can’t promise to solve your project during the degree, but you will gain the skills, patterns, and tooling to do so plus a thesis aligned with your domain.MIND is designed for applicants with hands-on programming experience and at least two years of relevant work. If you enjoy solving data-driven problems with modern methods, this programme will deepen your skills and prepare you to lead data-driven work in your organisation.