Duration
750h Proj.
Number of credits
| Master of Science (MSc) in Data Science | 25 crédits | |||
| Master of Science (MSc) in Data Science and Engineering | 25 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
All year long
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The master thesis is a substantial individual project that can also be realized in (collaboration with) a private company or research center, in Belgium or abroad. We generally consider that it amounts to 4 months of full time work. The subject must be proposed or approved by an advisor who must be an academic member or a permanent researcher.
Learning outcomes of the learning unit
The goal of the master thesis is to prepare the student to his/her future career in a private company or in research. The student will have to prove that (s)he can carry out a substantial project based of the theoretical and practical knowledge and skills acquired during his/her studies. This project will almost always include a preliminary study, some research or substantial development, and a final evaluation of the results.
Prerequisite knowledge and skills
It is advised to choose the optional courses that will help achieve the thesis objectives.
Planned learning activities and teaching methods
Mode of delivery (face-to-face ; distance-learning)
Professors propose thesis subjects for which they will act as official advisor. These subjects are either conceived by the advisor on topics related to his/her research fields, or by private companies. A student can also make a proposal, but it must be approved by an advisor. Students should choose a subject as early as possible, ideally at the end of the previous academic year, to increase the chances to finish by the deadline. The council of computer science studies will make sure that all students have a subject and will also check the composition of the jury. The student will keep his/her advisor informed of his/her progress on a regular basis.
Recommended or required readings
Assessment methods and criteria
The evaluation is first based on the report written by the student. There are no formal constraints on its length, but it will typically consist of 50 to 100 pages. It should describe the context of the work, the problem addressed, the proposed solution with some justification of the design choices, an evaluation, a conclusion and possibly some appendices. The thesis defence by the student is oral and public. It consists of an oral presentation, a question/answer session, and is followed by a short deliberation. The final grade takes account of the amount and quality of the achieved work, the quality of the written report and of the oral presentation, as well as the relevance of the provided answers.
Work placement(s)
Organizational remarks
The regulation, detailed guidelines and proposed topics can be found on the faculty web site
Contacts
- President of the jury: Prof. P. Geurts, p.geurts@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
When the master thesis involves the collection, by the student, of data in the laboratory or on site, alternative devices, compatible with the COVID19 constraints will be considered (use of other external data, theoretical developments, literature analysis, alternative digital study, ...). The work objectives will be adapted accordingly.
Assessment subjects
Not applicable.
Assessment methods
The assessment involves a written report and an oral defense (consisting of an oral presentation, followed by a question and answer session).
The terms and deadlines for filing the written report are unchanged.
The oral defense will be organized remotely by videoconference.