

Artificial Intelligence and Data Engineering, Master of Science in Technology
- Private University
Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Overview
Artificial Intelligence and Data Engineering, Master of Science in Technology offered at University of Vaasa is a PG course, which is considered the top-ranked course across the university and the country. Students who want to apply, can take up the course within the duration of 2 years. International students applying at for this course need to submit the necessary documents as per the department and the course. International students need to submit qualification proofs along with test scores of exams including IELTS, TOEFL and PTE. The University of Vaasa tuition fee for Artificial Intelligence and Data Engineering, Master of Science in Technology for the first-year international student is Euro 14,000 (INR 1,550,220). In addition to the tuition fees students need to look into other various factors that are necessary to manage their stay during the study at the university, which include the other necessary costs like:
- Accommodation costs
- Hostel fees
- Food
- Books
- Supplies
- Utilities, etc.
Duration | 2 years |
Tuition & Fees | ₹15.28 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Fees
For enrolling at the University of Vaasa, for Artificial Intelligence and Data Engineering, Master of Science in Technology, students must pay the tuition and living cost. Moreover, the University of Vaasa Artificial Intelligence and Data Engineering, Master of Science in Technology fee structure can vary from domestic to international students.
International students must pay the Euro 14,000 (INR 1,550,220) for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. Check out University of Vaasa Artificial Intelligence and Data Engineering, Master of Science in Technology on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 15,27,647 |
| Application Fee | INR 10,912 |
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Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read lessEligibility for Master's programmes depends on having a relevant bachelor's degree from a university, a relevant bachelor's degree from a university of applied sciences, or a relevant study programme completed abroad that provides eligibility for corresponding higher education in the awarding country. For Technology programmes, applicants with a GPA of at least 3.50/5 (converted to the ECTS scale) are prioritized for admission, while those with a GPA between 3.00 and 3.49 are placed on a waiting list.

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- Marks - 92/120
- Read lessTOEFL iBT (internet-based), TOEFL iBT Home Edition or TOEFL iBT Paper Edition minimum overall score 92 (iBT test), MyBest scores are acceptedRegister for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
- Marks - 62/90
- PTE Academic (Pearson Test of English, Academic band) or PTE Academic Online results with minimum overall score of 62
- Marks - 6.5/9
- Read less
- IELTS Academic or IELTS Online Academic test results with minimum overall band score of 6.5 (each section minimum 5.5)
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
Suitability of the background education:
- The appropriate fields are computer engineering, electrical engineering, electronic(s) engineering, mechatronics/mechatronical engineering, network engineering, software engineering, telecommunications engineering, computer science, data science, cyber security, information technology, control engineering, computing.
- Degrees in optical engineering / optical sciences and engineering, power systems engineering, industrial engineering, financial engineering, management science/engineering, manufacturing/production engineering, operations engineering, safety engineering, supply chain management/engineering, systems engineering, acoustical/sound engineering, automation engineering, aerospace engineering, renewable energy engineering, robotics engineering, applied engineering, mathematics, statistics, business informatics (business degree), information systems (business degree), digital technology, information networks, multimedia and information management can be considered suitable if they meet the specified conditions:
- Students with engineering degree must have completed at least the following courses or equivalent to be considered eligible:
- At least two courses from Mathematics and Statistics (such as Linear Algebra or Calculus, Probability Theory or Statistics with topics like random variables or probability distributions)
- 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.
- At least one course in programming fundamentals (course might contain terms like "Programming", "Object-Oriented Programming (OOP)", "Java", "Python", "Data Structures", "Algorithms", or "Compiler Design", or similar.
- Students with a BSc in Business Informatics, Information Systems, Mathematics or Statistics must have completed at least the following courses or equivalent to be considered eligible:
- At least two courses from Mathematics and Statistics, such as Linear Algebra or Calculus; Probability Theory or Statistics with topics like random variables or probability distributions
- Applicants must complete supplementary studies in e.g. mathematics, database concepts, programming fundamentals in their MSc Tech degree as specified in the curriculum.
- Students with engineering degree must have completed at least the following courses or equivalent to be considered eligible:
- Applicants who have not yet graduated can apply and be conditionally accepted as long as they graduate by the 10 July 2025. If you have not graduated by the time you apply to the programme, you are required to submit an officially certified copy of your most recent transcript of records.
Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Rankings
| Rank | Rank Publisher |
|---|---|
| #401 |
Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Highlights
- 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.
- 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 program also develops their capacity to plan and lead data projects that align with business strategies.
Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Scholarships
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Artificial Intelligence and Data Engineering, Master of Science in Technology at University of Vaasa Contact Information
Wolffintie 34, FIN-65101 Vaasa, Finland, Vaasa, Ostrobothnia, Finland
Vaasa ( Other - Finland)
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