Advanced Professional Studies
|Data Collection and Processing||5|
|Data Analysis and Data Visualization||5|
Common Master Studies
(Select 30 cr)
|Quantitative Research Methods, Effectiveness (incl. SPSS)||5|
|Foundations of Financial Management||5|
|Leadership and HRM||5|
|Qualitative and Action-based Research and Development Methods||5|
|Future Research, Foresight and Innovation||5|
|Strategy and Change Management, as well as Communication||5|
|Technology Know How Management||5|
|Customer Relationship Management||5|
|Strategic Financial Management||5|
|The Development of Activities through Service Design||5|
|Introduction to LEAN||5|
|Acquiring Customers in Digital Channels||5|
(Select 10 cr)
|Research Methods and Scientific Writing||5|
|Implementation of the Thesis and Reporting||20|
|60 / 60.00001||60 / 80||60 / 29.16667||60 / 30.83334||60 / 80||60 / 11.25||60 / 17.91667||60 / 15.41667||60 / 15.41667||60 / 40||60 / 40|
Studies of syllabus is planned so 60 credits are studied in academic year. Planned syllabus may change during studies.
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.
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.
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.
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.