The EDISS Erasmus Mundus Master’s program is a two-year, full-time joint degree that integrates academic excellence with hands-on experience in building intelligent, data-driven software systems. It prepares graduates to design, develop, and manage large-scale data-intensive applications, combining expertise in software engineering, machine learning, and data science. Graduates are well-positioned for careers in technology companies, research institutions, and industries where intelligent systems play a key role.
This joint program is delivered by a consortium of four leading universities from Finland, Sweden, Italy, and Spain. The curriculum blends theoretical foundations with practical projects, offering mobility across partner institutions. Supported by the Erasmus Mundus framework, the program provides scholarship opportunities that may include tuition coverage, monthly living allowances, travel expenses, and health insurance for selected candidates.
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Project Status
- Status: Ongoing
- Start date 01-09-2020
- End date 31-08-2026
- Action Type: Erasmus Mundus Joint Master
- Universities Involved
- Countries Involved
The EDISS Erasmus Mundus program is a Master’s in Engineering of Data-intensive Intelligent Software Systems offered by leading European universities.
| Åbo Akademi University |
| Mälardalen University |
| University of L’Aquila |
| University of the Balearic Islands |
| Finland |
| Sweden |
| Italy |
| Spain |
This cross-border collaboration allows students to gain an international perspective while studying and researching in the heart of Europe’s academic and industrial hubs.
Description of the EDISS Erasmus Mundus Program
The EDISS Erasmus Mundus program is a two-year joint master’s degree focusing on the integration of data-intensive systems with advanced software engineering methods. It offers a multidisciplinary curriculum covering software architectures, data science, machine learning, distributed systems, and intelligent applications. The program is delivered entirely in English and involves studying at different partner universities, giving students both academic diversity and cultural enrichment.
Key Features of the EDISS Erasmus Mundus Program
- Full-time two-year program (120 ECTS)
- Double degree awarded by two partner universities
- International mobility across at least two countries
- Specializations in Industrial Machine Learning, Model-Driven Machine Learning, or Computer Vision & Intelligent Systems
- Integrated internship and master’s thesis with industry or research partners
- Strong ties to companies and research labs in the data-driven systems field
- Erasmus Mundus scholarships available for top applicants, covering tuition, living costs, travel, and insurance
Mobility Tracks of the EDISS Erasmus Mundus Program
- Year 1: Core courses at Åbo Akademi University, Finland
- Year 2 Specialization Options:
- Industrial Machine Learning Mälardalen University, Sweden
- Model-Driven Machine Learning University of L’Aquila, Italy
- Computer Vision & Intelligent Systems University of the Balearic Islands, Spain
Admission Requirements
- Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, Data Science, or closely related field
- Strong academic record and relevant coursework in programming, algorithms, mathematics, and statistics
- Proof of English proficiency: IELTS, TOEFL, or equivalent
- Required documents:
- Motivation letter
- Curriculum Vitae (EU format recommended)
- Academic transcripts and degree certificate(s)
- Two recommendation letters
- Proof of English language skills
- Proof of residence (for scholarship eligibility)
How to Apply for EDISS Erasmus Mundus Program
- Visit the official EDISS website and open the application portal
- Register and complete the online application form
- Upload required documents (motivation letter, CV, transcripts, proof of language proficiency, recommendation letters, proof of residence)
- Select your preferred specialization track
- Submit your application before the scholarship or self-funded deadline
- If shortlisted, attend an interview
- Await final selection results
Tips to Succeed in the EDISS Erasmus Mundus Program Application
- Apply in the earliest call to maximize scholarship chances
- Ensure your motivation letter clearly demonstrates your technical skills and alignment with the program’s focus
- Highlight academic or professional projects involving data-driven systems or software engineering
- Use the European CV format for clarity and professionalism
- Request recommendation letters from academic or industry professionals familiar with your capabilities
- Demonstrate adaptability and enthusiasm for studying in multiple countries
Application Timeline
- Opens: November
- Deadline: January
- Interview: March
- Enroll: Starting September following selection
Curriculum Structure of the EDISS Erasmus Mundus Program
Year 1:
- Foundations of Software Engineering and Data-Intensive Systems
- Machine Learning and Data Science Principles
- Distributed Systems and Big Data Technologies
Year 2 (Specialization):
- Industrial Machine Learning / Model-Driven Machine Learning / Computer Vision & Intelligent Systems
- Internship with industry or research partner
- Master’s thesis
Coordinator Contact
Email: ediss@abo.fi
Frequently Asked Questions (FAQs)
What is the EDISS Erasmus Mundus Program?
It’s a two-year joint master’s degree focused on engineering intelligent, data-intensive software systems, combining software engineering and advanced data science.
Is the EDISS Erasmus Mundus Program funded?
Yes, selected applicants can receive Erasmus Mundus scholarships covering tuition, living allowance, travel, and insurance.
What is the duration of the EDISS Erasmus Mundus Program?
Two academic years (120 ECTS) with mobility between at least two partner universities.
Do I need an English language certificate for the EDISS Erasmus Mundus Program?
Yes, proof of proficiency through IELTS, TOEFL, or equivalent is required.
How competitive is the EDISS Erasmus Mundus Program?
Admission is competitive and based on academic merit, motivation, relevant experience, and language skills.
