Artificial Intelligence and Data Engineering University of Vaasa
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | Full-time | 2 years | August | find out | €14000 per year |
International tuition fees are 14,000 Euros per year. The University also offers generous scholarships as tuition fee waivers up to 6,000 Euros available across both years of study.
You do not have to pay tuition fee if you:
- are an EU/EEA citizen
- are equivalent to an EU/EEA citizen (i.e. citizen of Switzerland)
- have a permanent residence permit (type P)
- have an EU Blue Card
- have a continuous residence permit in Finland for purposes other than studies. However, please note that in the following cases the tuition fee is charged:
- If the first residence permit in Finland was granted for the purpose of studying, tuition fees must be paid, even if a type A permit is later obtained on other grounds.
- If the type A permit is based on family ties, and the family member originally came to Finland on a residence permit granted for studying, tuition fees are required.
- If the type A permit is granted for studying, tuition fees are required.
For further information, please see our website.
Course overview
The new major in Artificial Intelligence and Data Engineering provides students with the skills and knowledge to thrive in today's data-driven world. Upon completing the program, students will understand how AI and machine learning are transforming industries by optimizing data processing and decision-making. Hands-on experience in data modeling, data management, and machine learning will enable them to build secure and scalable data systems that support the goals of organizations.
Graduates will possess the ability to design and manage complex data systems, applying advanced theories and practices while staying current with the latest trends. The program also develops their capacity to plan and lead data projects that align with business strategies. In addition, students will sharpen their problem-solving, analytical, and communication skills, preparing them for diverse career opportunities in industry or academia. A strong foundation in data architecture and engineering ethics will equip them to contribute to research and innovation in data-focused fields.
The major in Artificial Intelligence and Data Engineering is a part of the Master's Programme in Computing Sciences. The duration of studies is 2 years (120 ECTS credits).
Entry requirements
Artificial Intelligence and Data Engineering (Master of Science in Technology)
1. Scope of the degree
- A recognized 3- or 4-year bachelor’s degree at a higher education institution (HEI) which is considered equivalent to a Finnish bachelor’s degree. In the rolling admission, the degree must be completed outside of Finland. There are guidelines available for those who have completed their degree outside the EU: Entry guidance for international qualifications.
2. Prior studies in an appropriate field.
- The appropriate fields are computer engineering, electrical engineering, electronic(s) engineering, mechatronics/mechatronical engineering, network engineering, power systems engineering, software engineering, telecommunications engineering, computer science, industrial engineering, manufacturing/production engineering, supply chain management/engineering, systems engineering, automation engineering, energy engineering, renewable energy engineering, robotics engineering, data science, cyber security, information technology, control engineering, computing, and digital technology.
- Degrees in optical engineering/optical sciences and engineering, aerospace engineering, applied engineering, mathematics, statistics, information systems (business degree), information networks, and information management can be considered suitable if they meet the following conditions:
- 1. At least two courses in mathematics and statistics: at least one course in Calculus or Linear Algebra, at least one course in Probability or Statistics.
- 2. Programming: At least one course in programming fundamentals, such as: Python, Java, or C++, Object-Oriented Programmin (OOP), Algorithms, or Data Structures
- 3. At least a course in database concepts. The course might have terms like Data Modeling, SQL, Database Design, or general data management principles (also called Database Management Systems (DBMS)) or similar.
Applicants with an appropriate degree in business (e.g. information systems) can be selected without previous technology/engineering studies. If selected, the students will include the required supplementary technology/engineering studies in their MSc in Technology. The supplementary studies are specified in the curriculum.
3. Applicant’s overall cumulative grade point average (CGPA) in previous degree, including the thesis or final report if applicable, must be at least 3,00/5 (ECTS grading). Applicants with the highest CGPA will be prioritized.
4. English language proficiency
Why study at University of Vaasa
- A global top 500, high quality Research university
- Masters programmes in English, designed for industry by integrating Business and Technology
- Competitive fees and scholarships
- A beautiful campus located by the sea, a vibrant city centre and with access to stunning nature
- A region with a status as one of the world's key Energy hubs