Intelligent Reliable Systems (Esbjerg), M.Sc.

  • Application Deadline
  • 24 months
  • English (schedule IELTS)
University rank #201 (ARWU) ,
The master's programme in Intelligent Reliable Systems (Esbjerg) at Aalborg University concerns process control, reliability demands, fault detection and diagnosis in dynamic software- and hardware systems. The programme features a variety of courses and projects within the area of intelligent reliable systems.


You will acquire competencies within system identification and identification and its application in engineering systems including comprehension of probability, statistic and stochastic processes. You will also work with fault diagnosis and reliability analysis.

Job and career · Intelligent Reliable Systems (Esbjerg)

Upon graduation, you have attained a variety of skills and competences highly applicable in R&D departments in both small and large companies all over the world. As an employee, you will participate in developing several of the products you know from your daily life. Also open to you are sales departments, manufacturing companies, consulting engineering companies and the public sector. You may also pursue a career as a PhD student.

Programme Structure

Below, you may see a short list of the programme's content.

1st semester

On the 1st semester, the project is focused on identification and/or estimation of systems for control of design. It can be systems from the chemical industry, offshore oil- and gas industry, mechanical systems, robots or other systems with identification or estimation requirements.

  • Modelling and control of electro-magnetic levitation train
  • Superheat dynamic identification and estimation in commercial refrigeration
  • Estimation of indoor climate dynamic
  • Fatigue modelling of mechanic systems (e.g. wind turbine’s driver-train system and offshore rigs)

In the courses, you will learn about the theoretical framework which defines stochastic processes. You will gain knowledge of the basic principles for system design, and you will become familiar with systematic methods for modelling of complex and flexible mechanical structures. There are two mandatory courses and one elective (three to choose from).

2nd Semester

Your 2nd semester project will concern challenges regarding surveillance of processing systems. This can be a chemical process, a mechanical system or any safety-critical system. You and your project group choose the system you would like to work with. In the project, you must consider the reliability of the chosen system, determine its Fault Detection and Diagnosis (FDD) and based on this choose an FDD solution which is to be implemented on a real-time platform and tested, either via computer simulation or hardware.

  • Online monitoring and diagnosis of power generation
  • Wind turbine condition monitoring and fault
  • Reliable three-phase separator level control in offshore oil & gas
  • Model-based diagnosis of bearing / rotor faults in inductive motors

On the 2nd semester, all courses are mandatory, and you will learn about industrial automation processes, non-linear control theory, fault modelling and –detectability as well as the basic principles for reliability modelling and –analysis.

3rd semester

The 3rd semester is all about choices – it has two project themes and three elective courses. You must choose one of the project themes and two of the courses.


Under this theme, you will be working with design challenges within reliability control of a system of your own choosing. As usual, it can be a chemical process, a mechanical system or any safety-critical system. You and your group must consider fault-tolerant control, and you must decide on strategies and methods for fault-tolerant design. Your solution must be implemented on a real-time platform and tested, either via computer simulation or hardware.


  • Fault-tolerant control of a coal-fired power
  • Design of self-repairing UAV flight control
  • Fault-tolerant power
  • Reliable modelling and control of a distillation column for biofuel production

If you choose the second project theme, you will work on a design challenge within advanced control and/or estimation. It can be a chemical process, a mechanical system or any safety-critical system. You and your group must consider advanced technology instead of basic control and estimation. Your solution must be implemented on a real-time platform and tested, either via computer simulation or hardware.


  • Model predictive control of networked power
  • Optimal scheduling and control of a pumping station with multiple pumps and
  • Advanced control and optimisation of indoor climate regulation for live stocks

In the courses, you can choose to work with basic subjects within advanced control with self-adjusting mechanical and optimal control technique, intelligent control methods and reliability-oriented design, or methods, tools and applications within machine learning.

4th semester

There are no courses on the 4th semester, as it is reserved entirely for working on your master’s thesis.

  • Calibration and control of an intelligent electro-hydraulic valve
  • Optimal ventilation control for living quarter at an offshore oil & gas platform
  • Smart braking system for modern wind turbines
  • Energy-efficient superheat control for commercial refrigeration systems
  • Intelligent anti-slug control for offshore oil & gas production

When you have finished the 4th semester, you are Master of Science in engineering in Intelligent Reliable Systems.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:


    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS
  • Minimum required score (Grade B2):


    C1 Advanced is a Cambridge English Qualification. It reports on the Cambridge English Scale between 142 and 210. You will receive a separate score for each of the four skills (reading, writing, listening and speaking) and for Use of English. These five scores are averaged to give you an overall result for the exam. Universities and colleges may ask you to achieve a specific score, either overall or for a particular skill.

    Note: degree programmes and applications may require a more specific minimum score for admission.

  • Minimum required score:


    The TOEFL – or Test OF English as a Foreign Language – offers a paper-based test (PBT). The final, overall PBT score ranges between 310 and 677, and is based on an average taken from the three test components (listening, structure, and reading). The writing part of this test is scored separately on a scale of 0-6. Read more about TOEFL (PBT).

  • Minimum required score:


    The TOEFL – or Test Of English as a Foreign Language – offers an internet-based test (iBT). The final, overall iBT score ranges between 0 and 120, and includes a scaled average from the four components (reading, listening, speaking, and writing). Read more about TOEFL (iBT).

Academic Requirements

The following bachelor's degrees qualify for the master's in Intelligent Reliable Systems:

Full bachelors
  • Electronics and Computer Engineering
  • IT, Communication and New Media
Guest/exchange programmes
  • Electronics and IT (5th-6th semester are offered in English)
  • Internet Technologies and Computer Systems (5th-6th semester are offered in English)

Students with other bachelor's degrees will receive individual assessment by the Study Board of Electronics and IT.

Tuition Fee

  • International Applies to you

    12402 EUR/year
    Tuition Fee
    Based on the original amount of 12402 EUR per year and a duration of 24 months.
  • EU/EEA Applies to you

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

92,200 DKK

Living costs for Esbjerg

  • 6060 - 7900 DKK/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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