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如题，在明尼苏达大学BICB（Biomedical Informatics and Computational Biology）项目的官方网页上给出了比较细致的修课途径建议，在此贴出原文，希望对同学们有帮助~

How to Prepare Yourself

Many students have gaps on either the computational side or the life sciences side of this interdisciplinary field. With the large number of free online courses available on the web, there are now ways to prepare yourself without going back to college and taking undergraduate courses. This is particularly attractive to adult learners who plan to return to a university for an advanced degree. If online courses do not work for you, many community colleges offer courses in a cost-effective way that get you started with courses in computer science or biology. The University of Minnesota Informatics Institute maintains a website with additional information on how to prepare yourself for a career in informatics.

If your undergraduate (or other postsecondary) degree is in the life sciences, you will likely have an excellent background in biology but you may not feel comfortable with taking a graduate level course in computer science. MIT Open Courseware through OCW Scholar offers an “Introduction to Computer Science and Programming” course that is free, self-paced, and is aimed at students with little or no prior experience in programming. Follow this course up with a course on Algorithms. There are a number of universities that offer the course for free: MIT Open Courseware offers “Introduction to Algorithms” (6.006), which has course materials available for free on the website. If you want video lectures with the course, take the course at Coursera, which offers the course from both Princeton and Stanford. If you find programming difficult, you may want to take a course in a programming language (Python, R, Perl, or Java) at a local community college or local university. There are also online programming courses available from Extension Services at universities, such as UC Berkeley Extension.

If your undergraduate degree (or other postsecondary) degree is on the computational side, you will likely have an excellent background in computer science, mathematics, or statistics, but may not feel comfortable taking graduate level courses in biology and biochemistry. MIT Open Courseware makes MIT’s chemistry courses freely available. To prepare yourself for biochemistry, you need some background in organic and general chemistry. To learn the language of modern biology, MIT’s “Introduction to Biology” course is a good start. This course is enhanced with video lectures. To learn more about genomics and computational biology, the “Genomics and Computational Biology” course from MIT is still relevant, although already ten years old. Another course of interest may be the “Genomic Medicine” course from MIT, which was taught in 2004. The three biology courses are all multi-media enhanced, that is, they include video and/or audio lectures. A more recent course in “Molecular Biology and Genetics in Modern Medicine” from MIT covers basic concepts in molecular biology and genetics in a clinical context. This course is not multi-media enhanced. Coursera offers a course on “Introduction to Genetics and Evolution” from Duke University, and a course on “Introduction to Genome Science” from the University of Pennsylvania.

Explore the full range of massive online open courses (MOOCs). They are available through iTunes U, Academic Earth, Coursera, MIT Open Courseware, Udacity, and EdX. New players in this field continue to enter the market. Many of these enhance the courses with Discussion Forums, which work well when students take the courses synchronously, such as on Coursera. Because of the large number of students simultaneously enrolled in these courses (often, in the thousands), questions asked by students get answered very quickly and the dialogue can be followed by others who may have similar questions.