Biomedical research is developing fast, especially due to the use of 'omics' technologies that generate large data sets, such as Next Generation Sequencing (NGS) and Mass Spectrometry (MS). Big (omics) data analysis and interpretation becomes ever more important, as biomedical research becomes more and more data-driven.
The goal of this Major program is to teach students how to handle, analyze and interpret big omics data sets, in order to investigate biomedical research questions. The programme is intended for those who aspire a research career in a university or research institute, as well as for those who want to do R&D, in for instance a pharmaceutical or life-science company.
The major consists of three 6-EC courses and a 42-EC internship. The content of the three courses will be subsequently: Genomics, Transcriptomics and Proteomics/Metabolomics. During the internship you will work and participate in a biomedical research group, such as in the Amsterdam Medical Centre or the Netherlands Cancer Institute NKI, to work on a research project.
For whom?
This major is intended for students that want to be able to analyze omics big data themselves. This is useful in research and for life sciences companies. For instance, when you are interested in genes that are involved in complex diseases, you may want to analyze all 4 to 5 million sites in the genome where differences between humans exist. This will lead to a big data set. The major is designed to teach students the skills required to analyze, visualize, and interpret such data.
Programme
The Big Biomedical Data Analysis programme starts with three compulsory 6 EC courses that teach you enough skills in scripting (such as Linux bash, R, Python), bioinformatics tools, analyses approaches, statistics and machine learning methods to be prepared for your internships. In addition, various applications of the sequencing and mass spectrometry technologies will be discussed, such as single cell sequencing, ChIP-sequencing, and targeted and non-targeted (LC)-MS approaches. The content of the courses will be: September: Genomics, October: Transcriptomics, November: Proteomics/ Metabolomics.
Internships
The internships are organized according to a new concept. You will work in a biomedical research group or company to participate in their research. Given that the goal of the Major program, a Major internship is typically a drylab project, allowing you train your data analysis skills in research practice. The emphasis of the internship must be on a bioinformatic (big data) analysis, and the central hypothesis must be researched and tested with a bioinformatic approach.
Entry requirements
If you are admitted to a Master’s programme in which this major is available, you are automatically admissible to the major. In your first year you will take the courses of your chosen Master’s programme. To start the major in your second year, you will have to have completed 48 EC of your first year’s courses. The major Big Biomedical Data Analysis starts once a year in September.
To register for this major, please contact major coordinators dr. Martijs Jonker or Selina van Leeuwen (Major-BBDA-fnwi@uva.nl). Please note that there is a restriction on the number of students that can participate.
Registration deadline
1 June
Contact
For questions about this major, please contact major BBDA coordinators dr. Martijs Jonker or Selina van Leeuwen (Major-BBDA-fnwi@uva.nl) or the Majors manager Kelly van Leeuwen (k.vanleeuwen2@uva.nl).