18 ECTS credits
500 h study time

Offer 1 with catalog number 4023183ENR for all students in the 2nd semester at a (E) Master - advanced level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Due to specific risks and safety issues, students must have successfully passed the complete bachelor program of Biomedical Sciences. Enrolling in 'Practical Laboratory Training / Jounal and data clubs’ means also that you simultaneously take 'Literature Study Preparing for Research Trainings’ and ‘Topics in Biomedical Research’ or have successfully passed 'Literature Study Preparing for Research Trainings’ and ‘Topics in Biomedical Research’
Taught in
English
Faculty
Faculty of Medicine and Pharmacy
Department
Basis (bio-) medische wetensch
Educational team
Karin Vanderkerken (course titular)
Eline Menu
Kim De Veirman
Hatice Satilmis
Activities and contact hours
500 contact hours Independent or External Form of Study
Course Content

Before the start of the master, the students will receive a list of the possible places to perform an internship (with the possibility of international traineeships as well – if possible in the framework of a LLP/Erasmus exchange). During the actual traineeship students will perform research work and the generated data will be written down as an English paper with abstract, introduction, material and methods, results, discussion and references. Obtained results will also be presented orally as a dataclub.

Course material
Practical course material (Required) : International scientific literature in the field (both from the laboratory where the internship is carried out and externally), textbooks about relevant methodologies.
Additional info

Students who will come into contact with human material during the internship must submit a certificate proving that they are sufficiently protected against hepatitis A and B. In case of insufficient protection, vaccination at least 10 days before the start of the internship is required. Both for the blood collection and for the vaccination an appointment can be made with the occupational health service Attentia.

Learning Outcomes

Algemene competenties

This course contributes to the following course-specific learning outcomes:

 

The master BMW has in-depth knowledge and insight into

  1. The clinical aspects of the main pathologies and the concomitant deviations in molecular, cellular and physiological processes in the human body
  2. The working mechanisms of current treatments and principles of drug discovery and development, prevention and diagnosis

 

The master in Biomedical Research can

  1. Formulate complex research questions, research the relevant literature as exhaustively as possible and design a research plan, including the selection of methods and techniques for the generation of data, followed by correct interpretation of the data.
  2. Write a research report in English to present the results of one’s own scientific research in the format of a peer-reviewed international journal
  3. Present the obtained results in a scientifically sound manner to a national and international audience using modern means of communication
  4. Function constructively in an (inter)national and intercultural setting

 

The master in Biomedical Research has

  1. The capacities to function in an actual research environment and appreciates the existence of various work settings.
  2. Insight into the (inter)national character of scientific research.
  3. A critical attitude towards his/her own research data and those of others and has the ability to distinguish correct scientific methods from pseudo-science.
  4. High ethical and moral standards with respect to human subjects, human material, animal testing and the society as a whole.
  5. An attitude of lifelong learning and is capable of self-assessment and application of self-learning strategies.
  6. An eye for accurate reporting of research data in a laboratory notebook and the protection of raw data with respect to intellectual property and the reliability and traceability of the work.
  7. Obtained sufficient knowledge in statistical processing of data from complex study designs using general and generalized linear models.

Grading

The final grade is composed based on the following categories:
SELF Internship determines 50% of the final mark.
SELF Report determines 20% of the final mark.
Other determines 30% of the final mark.

Within the SELF Internship category, the following assignments need to be completed:

  • Score promotor with a relative weight of 50 which comprises 50% of the final mark.

Within the SELF Report category, the following assignments need to be completed:

  • written paper with a relative weight of 20 which comprises 20% of the final mark.

Within the Other category, the following assignments need to be completed:

  • dataclub with a relative weight of 30 which comprises 30% of the final mark.

Additional info regarding evaluation
The global score will consist for 50% on the score given by the promotor, for 20% on the valuation of the written paper and for 30% on the evaluation of the dataclub presented. The deadline for submitting the report will be announced well in advance (and repeated) on Canvas. Late or no submission of the report will result in a score of 0/20. There is no second re-examination possible for the assessment of this course.
Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Biomedical Research: Standaard traject