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Human-Machine Communication – (M.Sc.)
University of Groningen
Faculty of Mathematics & Natural Sciences
| Application Deadline: | September: EU/EEA: 1 June. Non-EU/EEA: 15 April;February 2011: EU/EEA: 1 December 2010. Non-EU/EEA: 15 October 2010 | ||
| Annual Tuition Fee: | ≈ € 1,713 ≈ € 9,600 (non-EEA) | ||
| Location: | Groningen / Netherlands / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | February, September |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of University of Groningen
The Master´s degree programme in Human-Machine Communication focuses on Cognitive Science and its applications. By knowing more about cognition you can for example improve the communication between humans and complex computer systems, by using language and speech technology or by developing simulation models of users.
Human-Machine Communication (HMC) is aimed at providing you with fundamental insights into human cognition and at teaching you how to use this knowledge in applied settings, such as tutoring systems, speech technology and human-computer and human-robot interaction.
Career prospects
* Industrial research & development departments or usability labs
* Companies where computer software and new media applications are made
* User interface design experts, usability testers, interaction designers
* If you specialized in speech and language technology, you can find a job at a telecommunication company
* Work as a researcher at a university (PhD) or a private research institute, like TNO. About 50% of our students choose a career as a scientist, mostly PhD.
Contents
The master HMC is aimed at improving the communication between human and machine, for example by applying language and speech technology or by developing simulation models of users. Groningen distinguishes itself by paying more attention to understanding of natural cognition and to cognitive modelling. Besides that there are more subjects on communication, linguistics and linguistic applications. The study is a unique combination of artificial intelligence, cognitive psychology and language and speech technology.
The Master´s programme in Human-Machine Communication consists of a two-year programme. It is a cooperation between the Artificial Intelligence, Information Science and Psychology at the University of Groningen. HMC-students can also attend lectures at the Computer Science, Linguistic Science and/or Physics departments.
The Master´s programme consists of seven compulsory core modules (35 ECTS, optional modules (40 ECTS), and a Master's thesis (45 ECTS). Part of the Master's thesis can consist of an internship.
Core courses
The compulsory core modules of the program are Professional Seminar, Capita Selecta Human- Machine communication, Cognitive Modelling, Interaction Design, Advanced Experimental Methods, Usability Engineering & Analysis and Neuro-ergonomics. These modules cover about half a year of the whole programme. The remaining time is spent on optional modules and the Master´s thesis.
Modules
The master offers four different modules, two of these must be completed by the student. Each module consists of three courses that altogether focus on a sub theme from the HMC Master.
The following modules are offered:
Module 1: Situated Cognition
* - Task simulation and process control
* - Skill Acquisition and Training
* - User Models
Module 2: Language-based interaction
* - Language Modeling
* -TBA
* -TBA
Module 3: Energetic Systems and Environment
* - Occupational Biomechanics
* - Environmental stress and physiological regulation
* - Stress and Motivation
Module 4: Perception
* - Sound recognition
* - Multi-modal perception
* - Applied Signal Analysis
Optional courses
There are two directions within the Master's optional courses: human factors and language processing. Some of the optional modules are: Perception, Language Modelling, Applied Signal Analysis, Multi-Agent Systems and Handwriting Recognition. Beside, the AI Master's core courses can all be selected as optional courses.
Final thesis
The Master´s thesis at the end of the programme covers three quarters of a year. In this project you work on your own research project. The choice of subject is up to you. To give you an impression of the broad range of subjects you can choose in the Master´s programme in Human-Machine Communication at the University of Groningen, here is a list of some titles of Master´s theses:
* Digital reporting during surgery
* An intelligent tutor system for applied exercises
* User interest modelling
* iCat, the caring robot
IELTS
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testRequirements
Admission
* A Bachelor´s degree in the field of Artificial Intelligence or Psychology provided you have completed certain specific courses such as Variance Analysis
* If you have a Bachelor´s degree from a different field the Admissions Board will decide whether you can be admitted to the Master´s degree programme. In the admission procedure we will check if your Bachelor´s degree gives you sufficient foreknowledge to get to the level of a Bachelor´s degree Artificial Intelligence within six months.
* Sufficient English proficiency: IELTS 6.5 or TOEFL 580/237/92
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
| TOEFL Paper-based: | 580 |
| TOEFL Computer-based: | 237 |
| TOEFL Internet-based: | 92 |
Ask a Question
You can contact Admissions Office, University of Groningen to ask a question about Human-Machine Communication at University of Groningen.
Relevant Links
- Programme website
- University homepage
- Homepage of the municipality
- StudyinHolland.nl : Information on why and what to study in The Netherlands.
- Information on immigration requirements for study in The Netherlands
- Governmental Dutch immigration and nationalisation service
- Studychoice.nl: Make a personal comparison of university programmes in The Netherlands
- Student Experiences about The Netherlands - STeXX.eu
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