CURRICULA > MASTER’S DEGREE > MASTER'S DEGREE PROGRAMME IN DATA EXPERTISE AND ARTIFICIAL INTELLIGENCE > MASTER’S DEGREE PROGRAMME IN DATA EXPERTISE AND ARTIFICIAL INTELLIGENCE
Master’s Degree ...

Master’s Degree Programme in Data Expertise and Artificial Intelligence

Classification
Select visible years, semesters and periods (when only one year is selected) by clicking buttons below. (S = Spring, A = Autumn)
School years 1 2
Search: cr 1 2 1S 1A 2S 1 2 3 4 1 2
Advanced Professional Studies
                     
Digitalisation Technologies 5
 
   
       
Data Collection and Processing 5
 
   
       
Data Analysis and Data Visualization 5
 
   
       
AI Solutions 5
   
     
   
AI Methods 5
   
     
   
250151007.57.55500
Common Master Studies
(Select 30 cr)
                     
Acquiring Customers in Digital Channels 5  
   
       
Experience Design 5  
   
       
Knowledge Management 5  
   
       
Introduction to LEAN 5  
   
       
The Development of Activities through Service Design 5  
   
       
Strategic Financial Management 5  
   
       
Customer Relationship Management 5  
   
       
Technology Know How Management 5  
   
       
Strategy and Change Management, as well as Communication 5  
   
       
Future Research, Foresight and Innovation 5  
   
       
Qualitative and Action-based Research and Development Methods 5  
   
       
Evidence-Based Practice 5  
   
       
Project Competence 5  
   
       
Leadership and HRM 5  
   
       
Foundations of Financial Management 5  
   
       
Quantitative Research Methods, Effectiveness (incl. SPSS) 5  
   
       
080008000004040
Free-Choice Studies
(Select 10 cr)
 
   
       
AI Applications 5
   
     
   
5100510002.52.555
Master's Thesis
                     
Research Methods and Scientific Writing 5
 
   
       
Seminar work 5
 
 
   
Implementation of the Thesis and Reporting 20
 
   
   
30.00001014.1666715.8333403.7510.416677.916677.9166700
60 / 60.0000160 / 9060 / 29.1666760 / 30.8333460 / 9060 / 11.2560 / 17.9166760 / 15.4166760 / 15.4166760 / 4560 / 45
The curriculum has been planned so that the student completes 60 ECTS credits per academic year and 30 ECTS credits per semester

Studies of syllabus is planned so 60 credits are studied in academic year. Planned syllabus may change during studies.

ELIGIBILITY
Master's degree is designed for people who have completed a Bachelor’s degree, and who have at least three years of work experience in a relevant field after graduation. In cases of persons who have completed a vocational degree or have another university degree, and who have since completed an applicable Bachelor’s degree, relevant work experience may be accepted from the time before graduation from said degree programme.

COMPETENCES
Digitalization is changing society and organizations rapidly. As a result, the needs of working life are also changing. The importance of data is constantly growing and artificial intelligence is increasingly being used in various applications. These changes brought about by digitalization require experts in various fields to increase their knowledge of the data and identify the potential of artificial intelligence, without forgetting the ethical aspects involved.

The Master’s Degree Programme in Data Expertise and Artificial Intelligence programs will equip you with the ability to independently act as an expert and developer in demanding tasks that require data and utilize artificial intelligence or are intended to be utilized in the future. During the training, you will learn to recognize the different data needs of your specialist area and understand the potential of utilizing data in your expertice area. You will also learn how to pre-process, analyze and visualize data in practice.

During the training you will familiarize yourself with the concepts and methods of artificial intelligence and you will also apply the methods and applications of artificial intelligence in practice. Participating students come from a variety of educational backgrounds (including engineers, nurses, and tradenomes), which gives you an excellent opportunity to network and understand the concepts of experts in different disciplines and ways to solve problems. The aim is for students to share knowledge and skills with each other. Training will equip you to deepen your professional skills and provide you with methods and tools to continue developing your skills beyond training.

PROFESSIONAL STATUS
Companies and organizations are in dire need of experts who have not only their own substantive knowledge but also data and artificial intelligence expertise. They can work as experts in a variety of project, design and development tasks.

Job titles can include a senior engineer, a data expert, an application specialist, a project manager, a system manager, a special engineer, or a specialist.

EDUCATION VALUE BASIS
Responsibility and ethics are always associated with data processing and the use of artificial intelligence. These are also suitable as a value basis for education.

STRUCTURE
The studies consist of a thesis (30 ECTS) research and development related to data and / or artificial intelligence and advanced professional studies (25 ECTS credits), optional elective studies (30 ECTS credits, depending on the student background).

In advanced professional studies, you will develop your knowledge and skills in digitalisation, data skills and artificial intelligence techniques.