Courses Master Display 2021-2022
| Courses | Year UP Year Down | |||||||||||||||||||||||||||||||||||||||
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| Course Description | To PDF | |||||||||||||||||||||||||||||||||||||||
| Course title | Writing a Master's Thesis (BISS) | |||||||||||||||||||||||||||||||||||||||
| Course code | EBS4040 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 5,0 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Pass / Fail | |||||||||||||||||||||||||||||||||||||||
| Period | 
            
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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 | 
                     
                        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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| Prerequisites | 
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| Keywords | 
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| 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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