The MSc program in Bioinformatics at RU.
Students entering this program typically have either a BSc in some highly mathematically oriented discipline (e.g. computer science, mathematics, physics, engineering) or they have a strong life science background (e.g. biology, biochemistry, biomedical technology). The program is 120 ECTS, scheduled as four semesters of study. Project work is scheduled as either one or two semesters (30 or 60 ECTS). Students with a BS in engineering have an option of graduating as MS in Biomedical Engineering with a specialization in bioinformatics.
Typical masters projects included:
- Development of algorithms or statistical methods for studying DNA sequence reads.
- RNA and protein expression analysis.
- DNA sequence analysis.
- Software development for zebrafish behaviour analysis.
- Molecular simulations.
- Data analysis and management of biological/clinical data.
More information about research within bioinformatics at RU can be found at bioinformatics.ru.is.
Typical course structure for a student entering the programme with a BSc in Engineering, Computer science, Physics or Mathematics.
| Bioinformatics MSc | |||
| 1.semester (fall) | 2. semester (spring) | 3. semester (fall) | 4. semester (spring) |
| Biostatistics or Bioinformatics | Seminar | Biostatistics or Bioinformatics | |
| Research Methods I | Genetics (new) | Biochemistry (new) | Thesis |
| Data Mining and Statistics | Elective | Elective/Thesis | |
| Algorithms | Elective/Thesis | Elective/Thesis | |
| Molecular and Cell Biology |
Recommended electives:
· Measurement and vital signs/Mælitækni og lífsmörk
· Biomedical Imaging/ Læknisfræðileg myndgerð
· Gagnasafnsfræði/Databases
· Clinical Engineering
· Randomized algorithms/Slembin reiknirit
· Monte Carlo methods/Hermun
· Algorithm Design
· Graph theory/Netafræði
· Cell biology/Frumulíffræði
· Machine Learning
· Introduction to the theory of computation
Typical course structure for a student entering the programme with a BSc in Biology, Biomedical laboratory science or health professional.
| Bioinformatics MSc | |||
| 1.semester (fall) | 2. semester (spring) | 3. semester (fall) | 4. semester (spring) |
| Biostatistics or Bioinformatics | Seminar | Biostatistics or Bioinformatics | |
| Research Methods I | Programming II | Data Mining and Statistics | Thesis |
| Programming | Data Structures | Elective/Thesis | |
| Discrete Mathematics for Engineers | Elective | Elective/Thesis | |
| Algorithms | Elective/Thesis |
Recommended electives:
· Measurement and vital signs/Mælitækni og lífsmörk
· Biomedical Imaging/ Læknisfræðileg myndgerð
· Gagnagrunnar/Databases
· Randomized algorithms/Slembin reiknirit
· Monte Carlo methods/Hermun
· Graph theory/Netafræði
· Numerical Analysis
· Machine Learning
· Introduction to the theory of computation
The Bioinformatics group performs research in algorithms in bioinformatics. Current research involves developing algorithms and software for the identification of genetic variants, algorithms and statistics of gene expression and applied statistical genetics.
