Bioinformatics is an interdisciplinary area of science where mathematics, statistics, and computer science are applied to data produced by experimental work in biochemistry, molecular biology, cell biology and genetics. The aim of this programme is to give students knowledge of the various types of problems addressed in
bioinformatics, skills in the computational techniques used, and insight into their theoretical basis. Also, proficiency in communicating across different disciplines is an important effect of the education. By bringing students with different background together, the training in understanding and communicating with people of other disciplines is assured.
The programme is intended for two broadly defined categories of students: students with mathematical background, including engineering mathematics/statistics/ computing science, and students with a biology background, including biology/medicine. Applicants should have at least three years of university studies in these categories. A basic course in mathematics and in statistics are required, as well as basic knowledge of computer programming. All applicants must show sufficient proficiency in English.
Courses and Master's Thesis
The programme covers three semesters of full time studies, corresponding to 60 credit units, (cu); 40 cu of courses, and a Master Thesis project of 20 cu.
Two different introductory courses are given in parallel during the first quarter; Basics in Biology, and Introduction to Programming, respectively. Depending on the student's background he/she takes one of these; a student with a background in mathematics should take Basics in Biology, and vice versa. All other courses are given jointly to all students. If some of the compulsory courses overlap with previous studies there are possibilities to take other courses at the School of Mathematical Sciences or at the School of Computing Sciences.
The Master's thesis work shall train the ability to apply the skills and knowledge from the courses, and the ability to independently acquire knowledge of new topics. The thesis work can be done individually or in pairs; ideally, a pair consisting of one student with background in biology/medicine, and one with an engineering/mathematical background.