Courses Master Display 2022-2023
Course Description | To PDF | |||||||||||||||||||||||||||||||||||||||
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Course title | Writing a Master's Thesis (BISS) | |||||||||||||||||||||||||||||||||||||||
Course code | EBS4040 | |||||||||||||||||||||||||||||||||||||||
ECTS credits | 5,0 | |||||||||||||||||||||||||||||||||||||||
Assessment | Pass / Fail | |||||||||||||||||||||||||||||||||||||||
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Level | Advanced | |||||||||||||||||||||||||||||||||||||||
Coordinator |
Roselinde Kessels For more information: r.kessels@maastrichtuniversity.nl |
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Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
Goals |
The objective of the skills training is to successfully start working on your master thesis and plan the road ahead so that we can assign a thesis supervisor to your thesis project. After having completed the skills training you should have a clear idea on:
* The research topic of your master thesis; * The research question that you will investigate; * The research approaches that you can use to collect/analyze data and/or to develop a decision making tool; * The specific quantitative methods required to realize the research project. |
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Description |
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. A RE-EMERGENCE OF THE CORONAVIRUS AND NEW COUNTERMEASURES BY THE DUTCH GOVERNMENT MIGHT FORCE COORDINATORS TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.
For this purpose, the skills training consists of two key elements: 1. Developing a research proposal. This can be done through literature and self-study or consultation with a potential thesis supervisor; 2. Lectures that provide you with more information about: * Writing a master thesis in general, e.g., how can you find a topic, what is a typical structure of academic/industrial report, collecting data; * Quality standards in academic/industrial report writing; * Approaches in academic research, e.g., empirical studies and validation, modelling, simulations, proof techniques, policy/protocol development, algorithm design, complexity analysis, surveys; * Ethics aspects and scientific integrity. |
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Literature |
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Prerequisites |
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Keywords |
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Teaching methods (indicative; course manual is definitive) | PBL / Lecture / Coaching | |||||||||||||||||||||||||||||||||||||||
Assessment methods (indicative; course manual is definitive) | Participation / Presentation | |||||||||||||||||||||||||||||||||||||||
Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
This course belongs to the following programmes / specialisations |
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