The Master’s degree programme in Intelligent Systems is designed for the professional engineer who wants to deepen his or her knowledge and understanding of the methods and possibilities of modern automation and intelligent systems. The student will study automation and control both on a theoretical level and on a practical level – learning to design and use automation systems and how to apply modern techniques of data-driven decision making. A special emphasis is put on the use of machine learning methods in industrial automation and the study of intelligent systems.
"},"osaamistavoitteet":{"en":"Industrial automation is undergoing rapid development due to digitalization and technological improvements. The student will gain knowledge of how to model and simulate industrial processes. The student can identify opportunities for industrial decision-making and learn how to implement intelligent solutions. The student will learn how to apply machine learning methods to solve industrial problems by using classification, regression, detection, and optimization. The student understands the importance of thorough testing and evaluation of models and of high-quality data to succeed with the data-driven decision-making process. The student develops an understanding of the ethical, sustainability and security challenges of intelligent industrial automation.
"},"isMuokkaajaOphVirkailija":false,"ammattinimikkeet":[{"kieli":"en","arvo":"master of engineering"}],"asiasanat":[{"kieli":"en","arvo":"control systems"},{"kieli":"en","arvo":"machine learning"},{"kieli":"en","arvo":"intelligent systems"},{"kieli":"en","arvo":"industrial AI"},{"kieli":"en","arvo":"master degree"},{"kieli":"en","arvo":"master of engineering"},{"kieli":"en","arvo":"automation"}],"isTyovoimakoulutus":false,"hasJotpaRahoitus":false,"isTaydennyskoulutus":false,"opetus":{"apuraha":{"min":0,"max":30,"yksikko":"prosentti","kuvaus":{"en":"Tuition fee-paying (non-EU/EEA) students can apply for a scholarship. Read more about scholarships here.
"}},"maksullisuusKuvaus":{"en":"The studies are free for EU/EEA citizens. Information about the tuition fee for the academic year 2025-2026 will be published later.
"},"suunniteltuKestoKuvaus":{"en":"The extent of the studies is 2 years, 60 credits.
"},"suunniteltuKestoVuodet":2,"onkoApuraha":true,"lisatiedot":[{"otsikko":{"koodiUri":"koulutuksenlisatiedot_12#1","nimi":{"fi":"Sisältö","sv":"Innehåll","en":"Content"}},"teksti":{"en":"Novia UAS offers a renewed curriculum from 2024 for the Master’s programme in Intelligent Systems, with a distinct profile in machine learning and artificial intelligence for industrial applications. The curricula include the practical application of machine learning methods for intelligent industrial automation. Both model-based and data-based methods are covered. Specific applications may include automatic quality control, data-driven fault detection, techniques for predictive and forecasting purposes and the study of generative models.
The degree program is linked to the Intelligent Systems Institute at Novia, which focuses on making applied intelligent systems knowledge and resources readily available for companies. More information about the Intelligent Systems Institute can be found here at Novia's website.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_01#1","nimi":{"fi":"Opintojen rakenne","sv":"Studiernas uppbyggnad","en":"Structure of studies"}},"teksti":{"en":"The Master’s degree programme in Intelligent systems (60 ECTS) consists of degree specific professional studies (30 ECTS) and a Master’s thesis (30 ECTS).
The studies are primarily designed for students who are working. Tuition in the Master’s degree programme is organized so that studying can be combined with full-time work during a period of two years. During these two years, the studies are scheduled for two days a month from September to June. The studies consist of virtual parts and intensive course days mainly at Campus Vaasa. The studies of the programme involve not only theoretical lectures but also practical ways of learning, laboratory assignments and hands-on exercises in innovative learning environments.
The learning process is characterized by a strong integration of real working life problems and development projects. The thesis work is realized as a research and development project related to working life.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_11#1","nimi":{"fi":"Opinnäytetyö","sv":"Lärdomsprov","en":"Thesis"}},"teksti":{"en":"The Master’s thesis comprises of 30 ECTS. In the Master’s thesis work the student plans and implements a development project in and/or for real working life, typically for his/her employee organization, applying case specific research and/or development approaches. In the Master’s thesis student completes research and contributes to knowledge and understanding in the field of intelligent systems.
Alternatives for the thesis are for example contributing to research work at the university community, development projects for the laboratory research equipment or studies regarding solving intelligent automation tasks with the industry or working life.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_04#1","nimi":{"fi":"Uramahdollisuudet","sv":"Karriärmöjligheter","en":"Career opportunities"}},"teksti":{"en":"The degree programme in Intelligent Systems provides the opportunity for a broad interdisciplinary career. After graduation with a special emphasis on machine learning methods and intelligent system understanding, you will be qualified to work in various expert, development, and management positions in an international industrial environment in automation and control. The education also offers an excellent basis for a career in research or product development.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_06#1","nimi":{"fi":"Kansainvälistyminen","sv":"Internationell verksamhet","en":"Internationalisation"}},"teksti":{"en":"The network of international partner universities of Novia University of Applied Sciences offers a wide range of opportunities for internationalization.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_09#1","nimi":{"fi":"Koulutuksen antama pätevyys","sv":"Kompetens som utbildningen ger","en":"Qualification"}},"teksti":{"en":"A Master’s degree in Intelligent Systems correspond to the level EQF 7 in the European Qualifications Framework for Higher Education.
Under the Finnish legislation, a person who has taken the Master’s degree is qualified for posts or positions for which the qualification requirement is a second-cycle higher education degree. In some cases, the qualification requirement also includes the completion of studies in certain specified fields of study. The degree falls under the Article 11 of the Directive 2005/36/EC of the European Parliament and of the Council on the recognition of professional qualifications.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_05#1","nimi":{"fi":"Yhteistyö muiden toimijoiden kanssa","sv":"Samarbete med andra aktörer","en":"Co-operation with other parties"}},"teksti":{"en":"The focus, study contents and ways of implementation of the programme are planned together with the working life interest groups. Close contacts and co-operation with the working life also continue in programme implementation and continuous development.
"}},{"otsikko":{"koodiUri":"koulutuksenlisatiedot_02#1","nimi":{"fi":"Jatko-opintomahdollisuudet","sv":"Möjlighet till fortsatta studier","en":"Further study opportunities"}},"teksti":{"en":"With a Master´s degree, students are able to continue to university post-graduate (licentiate/doctoral) studies, however universities may at their own discretion have specific admission requirements for post-graduate studies that must be met in addition to a completed Master’s degree.
"}}],"maksut":[{"maksullisuustyyppi":"lukuvuosimaksu","maksunMaara":12000.0}],"suunniteltuKestoKuukaudet":0,"opetustapaKuvaus":{},"opetuskieletKuvaus":{"en":"The language of instruction is English.
"},"opetustapa":[{"koodiUri":"opetuspaikkakk_1#1","nimi":{"fi":"Lähiopetus","sv":"Närundervisning","en":"Contact teaching"}},{"koodiUri":"opetuspaikkakk_5#1","nimi":{"fi":"Itsenäinen opiskelu","sv":"Självständiga studier","en":"Independent learning"}}],"opetusaikaKuvaus":{},"opetuskieli":[{"koodiUri":"oppilaitoksenopetuskieli_4#2","nimi":{"fi":"englanti","sv":"engelska","en":"English"}}],"opetusaika":[{"koodiUri":"opetusaikakk_4#1","nimi":{"fi":"Päivä- ja iltaopetus","sv":"Dags- och kvällsundervisning","en":"Daytime and evening teaching"}}]},"yhteyshenkilot":[{"nimi":{"en":"Ray Pörn"},"titteli":{"en":"Head of Degree Programme"},"sahkoposti":{"en":"ray.poern@novia.fi"},"puhelinnumero":{"en":"+358 50 431 1281"},"wwwSivu":{"en":"https://www.novia.fi/study-at-novia/master-degree-programmes/automation-technology/"},"wwwSivuTeksti":{"en":"Master of Engineering, Intelligent Systems"}}],"tyyppi":"amk"},"formatoituModified":{"fi":"17.6.2026 klo 14:58","sv":"17.6.2026 kl. 14:58","en":"Jun. 17, 2026 at 02:58 PM UTC+3"},"koulutustyyppi":"amk"}