Curriculum 120p

30p:	Master thesis project
15p:	Elective courses
15p:	Biomodeling	Bioinformatics	Biotech and entrepreneurship
60p:	Common mandatory courses

 

Common mandatory courses

	first year	second year
first term	Biomedicine for Engineers Mathematical Modelling of Biological Systems Introduction to the Philosophy of Science and Research Methodology Applied Bioinformatics	Project management
second term	Quantitative systems biology Omic data systems biology Algorithmic bioinformatics

 

Biomodeling

15 ECTS points chosen among

• Machine Learning, 6 ECTS, period 1
• Visualization, 7.5 ECTS, period 4
• Pattern Recognition, 7.5 ECTS, period 1
• Experimental Methods in Biomolecular Physics, 8 ECTS, period 1&2
• Optimization, 6 ECTS, period 3
• Biostatistics for physicists (SU), 7.5 ECTS, period 2

Coordinator: Erik Fransén

Brief content: In the Biomodeling stream you learn how to set up a biochemical or biophysical model representing for instance a set of biochemical reactions within a cell or the interaction between model nerve cells in a brain region. You learn how to use state of the art numerical methods to simulate the models, as well as how these are run on standard PCs as well as parallel super computers like the IBM Blue Gene at our department.

 

Bioinformatics

15 ECTS points chosen among

• Algorithms and Complexity, 6 ECTS, period 1&2
• Machine Learning, 6 ECTS, period 1
• Internet Programming, 6 ECTS, period 3 (in swedish)
• Bioinformatics and Biostatistics, 7 ECTS, period 1
• Genetics and Genomics, 10 ECTS, period 1&2
• Proteomics, 6 ECTS, period 1
• Pattern Recognition, 7.5 ECTS, period 1
• Information Theory and Source Coding, 7.5 ECTS, period 3
• Optimization, 6 ECTS, period 3
• Statistical Theory, 6 ECTS, period 3
• Biostatistics for physicists (SU), 7.5 ECTS, period 1&2
• Comparative genomics (SU), 7.5 ECTS, period 4

Coordinator: Jens Lagergren

Brief content: In the Bioinformatics stream you learn how to use and further develop basic algorithms in bioinformatics, and how to handle main genomic databases (sequences, interactions, microarray data, proteomics data, etc). You can also choose to go further into algorithmic design, other topics in computer science, comparative genomics, statistics, optimization, or the experimental side of genomics.

 

Biotech and entrepreneurship

15 ECTS points chosen among

• Leading Temporary Organizations and Projects, 6 ECTS, period 4
• Industrial Marketing, Advanced Course, 6 ECTS, period 2
• Ideation - Creating a Business Isea, 7.5 ECTS, period 1
• Planning - Developing a Venture, 7.5 ECTS, period 2
• Execution - Running Your Own Company, 7.5 ECTS, period 1
• Growth - Managing Your Firm, 7.5 ECTS, period 2
• Social Innovation & Entrepreneurship, 7.5 ECTS, period 2
• Machine Learning, 6 ECTS, period 1
• Internet Programming, 6 ECTS, period 3 (in swedish)

Coordinator: Terrence Brown

Brief content: The Biotech and entrepreneurship stream prepares you for utilizing your professional know-how in entrepreneurial environments, including but not limited to self-sustained industrial projects and biotech start-ups. The courses will give you both hands- on knowledge on how to start your own company or other endeavors, as well as a better understanding for how the commercial aspects of biotech can be understood. You will learn not only how to turn a scientific insight into a feasible business idea, but also how to combine knowledge sets from different spheres and thus enrich and develop your professional profile.

 

Recommended courses

• BB2440 Bioinformatics and Biostatistics
• BB2470 Genetics and Genomics
• BB2510 Proteomics
• DD2257 Visualization
• DD2352 Algorithms and Complexity
• DD2390 Internet Programming
• DD2431 Machine Learning
• EN2202 Pattern Recognition
• EN2500 Information Theory and Source Coding
• ME2016 Project Management: Leadership and Control
• ME2018 Leading Temporary Organizations and Projects
• ME2024 Industrial Marketing, Advanced Course
• ME2035 Globalization of Industry and Technology, Advanced Course
• ME2800 Ideation - Creating a Business Idea
• ME2801 Planning - Developing a Venture
• ME2802 Execution - Running your own Company
• ME2803 Growth - Managing Your Firm
• ME2804 Social Innovation and Entrepreneurship
• SF1811 Optimization
• SF2960 Statistical Theory
• SK2520 Experimental Methods in Molecular Biophysics