Master of Engineering in Machine Intelligence and Data Science (MIND)

Engineering

Master of Engineering in Machine Intelligence and Data Science (MIND)

Learning Mode

Online & Part-Time

Duration

2 Years (60 ECTS)

Start date

August

Qualification

Master of Engineering (M.Eng.)

Fees

€11,000 total (Non-EU/EEA)

Location

Online / Arcada UAS, Helsinki, Finland

About the Course

The Master’s Degree Programme in Machine Intelligence and Data Science (MIND) at Arcada University of Applied Sciences is designed for engineers, developers, and technical professionals who want to deepen their expertise in AI, machine learning, and data science while advancing their careers.

Delivered part-time and fully online, the programme combines academic rigour with real-world application. Students explore cutting-edge technologies such as deep learning, neural networks, natural language processing, and intelligent data pipelines. The curriculum is structured around practical challenges, and students apply their learning directly to their own work environments or projects.

MIND empowers you to drive data-driven innovation, design intelligent systems, and lead development in today’s digital economy.

Why choose Machine Intelligence and Data Science at Arcada?

Industry connected

The programme is developed in close collaboration with leading tech companies in Finland, ensuring it reflects current tools, technologies, and employer needs.

Global opportunities

Study online from anywhere in the world while becoming part of an international tech network. Arcada’s strong Nordic industry ties offer exceptional career mobility.

Professional accreditation

Accredited by the Finnish Ministry of Education and Culture and aligned with the European Higher Education Area (EHEA) framework, the programme ensures international recognition and academic excellence.

Course Overview

The MIND programme equips students with advanced technical skills and a systems-thinking mindset. By focusing on data-intensive applications and machine learning integration, it offers the tools to build scalable, intelligent systems across industries like healthcare, finance, logistics, and automation.

Project-based learning is at the core, including a Master’s thesis that can be aligned with your workplace.

Course Duration

Length: 2 years (60 ECTS)
Study Mode: Part-time and 100% online
Designed for working professionals, with flexible schedules and asynchronous coursework

Course Curriculum

Core Modules:

Machine Learning and Neural Networks
Big Data Engineering and Architecture
Artificial Intelligence Applications
Predictive Analytics and Data-Driven Decision-Making
Intelligent Systems Design
Research and Development Project
Master’s Thesis (30 ECTS)

Emphasis is placed on modern data frameworks (e.g., TensorFlow, PyTorch), cloud integration, and ethical considerations in AI.

Admission Requirements

Bachelor’s degree in Engineering, Computer Science, or related technical field
Minimum 3 years of relevant work experience
English language proficiency: IELTS 6.0 / TOEFL iBT 79 / PTE 54 or equivalent
Motivation letter and CV required
Optional: portfolio or project examples demonstrating technical competence

Fees and Funding

Total Tuition Fee: €11,000 (Non-EU/EEA)
EU/EEA students: No tuition fees
Performance-based scholarships available (for non-EU/EEA)
Payment plan available for installment options

Career Opportunities

Graduates of the MIND programme are prepared for high-demand roles such as:

Machine Learning Engineer
Data Scientist
AI Architect
Big Data Developer
Intelligent Systems Designer
R&D Engineer

Many go on to lead AI innovation teams or pursue doctoral research in computing and data science.

Contact Us

Reach out for any inquiries or assistance needed.

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