Artificial Intelligence and Data Engineering, Master of Science in Technology 

at University of Vaasa, Vaasa

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:
   
  1. 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.
  2. 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.
• 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.