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Master thesis data science and business analytics: subjects and timing

Each master student Business Engineering / Handelsingenieur can write a thesis in this domain, either (a) when he/she is enrolled in the major Data Science and Business Analytics, or (b) when the student is in another major but wants to diversify towards this domain (mainly business statistics and operations research).

The student can select a subject from the lists that are proposed by the professors of the research group ORSTAT, or can propose his/her own topic that is related to the discipline.  For more information and for reservation of a subject, the supervisor should be contacted directly.  Any lecturer or postdoc in the Faculty (not necessarily of the research group ORSTAT) can act as promotor of a master’s thesis Data Science and Business Analytics, provided that the content of the thesis fits the research domain.  If the promotor is not ZAP (senior staff) of the Dept. of Decision Sciences and Information Management, however, then at least one member of the ORSTAT-ZAP staff needs to agree to act as co-promotor (this department consists of the three groups ORSTAT, LIRIS and OM). 

The general master thesis regulations can be found here (or here for the Dutch variant).  The full rules for this specific master thesis are here (or Dutch variant here).

 

important remarks

  • In AY 2018-2019, we will not organize a separate information session at the start of the second semester; all the important information can be found at this page
  • In AY 2018-2019, we will strive to put all the subject lists online by the start of the second semester (February 11) via the links below (the links are currently not active); more subjects might be added later on
  • Students enrolled in the the major Data Science and Business Analytics are obliged to write their thesis in our field, while this is optional for other students.  For this reason, students in the major DS/BA will be given priority in the allocation of subjects from Week 1 of the semester (February 11) onwards.  From Week 3 (February 25) onwards, students from other majors are also welcome.
  • Subjects supervised by professors from the LIRIS group (Beleidsinformatica / IS engineering) are also provided below; the release of these subjects follows the timing set forth by LIRIS.  The allocation of these subjects is managed by LIRIS, and is pooled with the allocation for HIRB/BISEng students.  LIRIS provides an information session for these students at 9:30am on the 22nd of February in HOGM 00.85, in which they will briefly explain the topics and the guidelines for their master thesis process.  Interested HIR/BEng  students are invited to join this session, so that the distribution of the topics can be organized in a structured way.
  • Your own ideas / subjects are obviously also welcome!  Feel free to talk to any professor about your interests.
  • Within ORSTAT, each professor manages his/her own topics and allocation individually, there is no co-ordinated allocation mechanism (contrary to some other research groups)
  • For the timing of the oral presentation, we normally follow the Faculty's guidelines - more details will follow later
  • For more information you can always contact prof. Leus

 

subject lists

Subjects in operations research

Subjects in statistics / data science:

The discipline of data science is at the interface of statistics and computer science.  Students who wish to explore the informatics-aspect of data science can also select a topic offered by our colleagues from the LIRIS research group, which coincides with the subjects for Beleidsinformatica / Business and Information Systems Engineering.  For more information, contact the thesis coordinator LIRIS or see the following links:

  • LIRIS provided an information session for these students at 9:30am on the 22nd of February in HOGM 00.85, in which they briefly explained the topics and the guidelines for their master thesis process; the slides can be found here
  • guidelines
  • topics