Master
Master of Science in Industrial IT and Automation
University of South-Eastern Norway (USN)
- Abschluss:
- Master of Science
- Sachgebiet(e):
- Angewandte Mathematik, Automatisierungstechnik, Informationstechnik, Künstliche Intelligenz
- Regelstudienzeit:
- 4
- Hauptunterrichtssprache:
- Englisch
- Studienform(en):
- Vollzeitstudium
- Standort(e):
- Porsgrunn
- Zulassungssemester:
- Fall/Autumn semester (August 15)
- Zulassungsmodus:
- Applicants from outside EU/ EAA: 1 Oct - 1 Dec / Applicants from EU/ EEA: 1 Feb - 15 April
- Zugangsvoraussetzungen:
For admission requirements, please see the programme page.
- Schwerpunkte:
- Automatic Control, Modelling of Dynamic Systems, Machine Learning and Sensor Technology, Industrial IT, Software Engineerning, System Identification and Optimal Estimation, Model Predictive Control, Internet of Things and Cyber Security, Multivariate Data Analysis, Scientific Computing
- Vorlesungszeit:
-
Period of lectures: August to December, January to June
- Bewerbungsfrist:
-
Application periods: 1 February to 15 April
Application deadline: April 15
- Studienbeitrag:
- No tuition fee
Are you interested in the world of cybernetics and how we utilize information from physical systems in a computer network? Become an expert in Industrial IT and Automation, and explore the opportunities within this field.
With a MSc degree in Industrial IT and Automation, you are qualified for work in most areas of the private and public sectors. This involves developing advanced control and monitoring systems, but also developing software and utilizing machine learning concepts in various applications. Examples of work fields:
- Manufacturing
- Process industry
- Energy systems
- Vehicle control
- Building automation
- The oil and gas industry
- Software development
USN offer an informal and student friendly environment. Our campuses are small with an open-door policy where our staff dedicates time and attention to each student. USN offers a safe living and study environment as well as a multicultural society where English is widely spoken. Our programmes are focused on practical study methods with a problem-based approach that should help students to prepare for real-life situations.
-
For admission requirements, please see the programme page.
.- Schwerpunkte:
- Automatic Control, Modelling of Dynamic Systems, Machine Learning and Sensor Technology, Industrial IT, Software Engineerning, System Identification and Optimal Estimation, Model Predictive Control, Internet of Things and Cyber Security, Multivariate Data Analysis, Scientific Computing
- Vorlesungszeit:
-
Period of lectures: August to December, January to June
- Bewerbungsfrist:
-
Application periods: 1 February to 15 April
Application deadline: April 15
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