Master's Degree Programme in Data Expertise and Artificial Intelligence

Qualification Awarded and the Level of Qualification

Master of Engineering, EQF 7
Master of Health Care, Master of Health Care, Master of Health Care, Master of Health Care, Master of Health Care, Master of Health Care, Master of Social Services, Master of Health Care, EQF 7
Master of Business Administration, EQF 7

Contact Information

Head of Degree Programme:
Pekka Pöyry, firstname.lastname@tuni.fi

Study Affairs Coordinator:
Minna Majuri

Special Admission Requirements

The Master’s degree (polytechnic) is intended for people who have completed the Bachelor degree and who have at least two years of working experience in a related field, after having completed the degree. For an applicant who has first completed a vocational or higher vocational diploma and then the applicable Bachelor’s degree, the minimum of three years of work experience may be accepted as the required work experience, provided that at lest one year has been accumulated after the completion of the Bachelor’s degree.

Recognition of Prior Learning

It is possible for students to have their prior competence recognised.
See TAMK’s credit transfer guidelines

Qualification Requirements and Regulations

Completion of curriculum studies and achievement of related competence objectives.
Further information:
TAMK Degree Regulations
Ammattikorkeakoululaki ja asetus ammattikorkeakouluista

Profile of the Programme

The degree is a master-level professional higher education degree.
The degree complies with the criteria set by the Finnish national degree system as well as with the European framework for degrees and other competence.
Ammattikorkeakoululaki ja asetus ammattikorkeakouluista

Key Learning Outcomes

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.

Occupational Profiles of Graduates with Examples

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.

Access to Further Studies

The master’s degree from a university of applied sciences produces the eligibility for postgraduate studies as a master’s degree from a university.

Examination Regulations, Assessment and Grading

Assessment of study performances is based on TAMK’s assessment criteria
The detailed assessment criteria can be found in course implementation plans. The teaching and assessment methods are agreed on with students at the beginning of each course.
TAMK Degree Regulations

Graduation Requirements

Completion of studies and achievement of competence objectives in the extent set by the curriculum.

Mode of Study

The tuition will be conducted as blended studies, which can be completed while working. Classroom education takes place on average every other week, on Thursdays at 16.30-20.00 and Fridays at 8.30-16.00. Alternative advanced studies may have a different schedule. This applies in particular to a degree of 90 credits.

Development of the Programme

The Ministry of Education and Culture’ definitions of policy and TAMK’s strategy have been considered in the curriculum.
The curriculum is developed in cooperation with TAMK’s other master’s degree programmes. Working life cooperation is implemented through thesises and projects as well as network cooperation and advisory councils. Student feedback is collected annually in connection with courses. Alumni feedback is collected regularly through online surveys.