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Study programme syllabus for


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.

Entry requirements

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. For students in the biology category, previous studies also in mathematical sciences are a strong merit, and vice versa. All applicants must show sufficient proficiency in English, e.g. by a TOEFL test (minimum 550).

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 Basics in Mathematical Statistics and Computer Science, 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 both student categories. If some of the compulsory courses overlap with previous studies there are possibilities to take other courses at the School of Mathematical and 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.

Page manager Published: Thu 03 Nov 2022.