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Industrial Automation and Control Systems● OpenMastersPreview

Master in IT and Automation

Prepare for advanced roles in automation, AI, and industrial systems with a focus on cybernetics and IoT.

Best for:Best for engineering graduates seeking to specialize in automation, AI, and industrial systems with a focus on cyber-physical security and advanced control architectures.

University of South-Eastern Norway · East Norway (Porsgrunn, Bø, Tvedestrand), Norway
More professors at University of South-Eastern Norway
Industrial cyberneticsApplied artificial intelligence and machine learningIndustrial IoT and embedded systemsCyber-physical securityAdvanced control systems and model predictive control (MPC)Data analysis and sensor systems
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years (full-time)
Start date
Flexible (depends on semester intake)
Full-time
Location
East Norway (Porsgrunn, Bø, Tvedestrand)
Norway

Overview

The Master in IT and Automation at the University of South-Eastern Norway is a two-year programme designed to transition students from implementing basic technology to designing, optimizing, and leading advanced autonomous systems. This programme integrates engineering cybernetics, modelling, data science, and artificial intelligence to address complex challenges in process industries, infrastructure, energy, and health tech. Students engage in hands-on research, collaborate closely with industry partners, and benefit from exchange opportunities abroad. The curriculum emphasizes both technical expertise and strategic systems understanding, equipping graduates for senior technical, design, and management roles in both private and public sectors.

IT and AutomationIndustrial AutomationCyberneticsAI in IndustryIndustrial IoTControl SystemsModel Predictive ControlEmbedded Systems

What you'll do

  • Develop and apply mechanistic and statistical mathematical models for monitoring and control of technical and industrial systems.
  • Collect and analyze measurement data from sensors, store it in process databases, and program algorithms for data analysis and control signal calculation.
  • Design and implement automation systems using programming tools like MATLAB, Python, LabVIEW, and object-oriented languages.
  • Collaborate with industry partners on research projects and master’s theses, integrating real-world challenges into academic learning.
  • Engage in extensive research and work on projects closely tied to regional and international industry networks.
  • Participate in exchange programmes and internships abroad to gain international experience and enhance employability.
  • Lead development of advanced control architectures, Industrial IoT networks, and cyber-physical security solutions.

Requirements

Degree required: Bachelor's degree in Engineering, Computer Science, or a related technical field

Language: English proficiency (no specific test mentioned, but typically required for international students)

Instruction: English

Required skills
  • Proficiency in programming languages such as MATLAB, Python, and LabVIEW
  • Understanding of mathematical modelling and simulation techniques
  • Basic knowledge of sensors, measurement systems, and data analysis
  • Familiarity with control algorithms and automation systems
  • Experience with object-oriented programming concepts
Nice to have
Prior experience with industrial IoT or embedded systemsKnowledge of advanced control techniques like model predictive control (MPC)Background in artificial intelligence or machine learning applicationsExperience with collaborative projects involving industry partners
Eligibility
  • Open to international students
  • No specific residency or nationality restrictions mentioned
  • No age restrictions mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (full-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2024-04-15 and 2024-10-15 (for spring and autumn semesters, respectively) (Europe/Oslo)

Applicants must apply through the official University of South-Eastern Norway application portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), a statement of purpose, and other required documents. Detailed instructions and application forms are available on the programme’s webpage.

Documents required
  • Academic transcripts and degree certificates
  • Proof of English proficiency (if not from an English-taught institution)
  • Statement of purpose or personal statement
  • CV or resume
  • Passport-sized photo (if required)
  • Proof of payment of the application fee (if applicable)
↗Check programme and admissions

Contact

Lab
IT and Automation Programme Group
University of South-Eastern Norway
Norway
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.