6-7: Computer Science and Molecular Biology

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Course 6-7 provides an interdepartmental curriculum involving rigorous training in both molecular biology and computer science. The 6-7 degree program which is offered jointly by EECS and the Department of Biology, prepares students for careers in emerging areas at the interface of biology and engineering -- including pharmaceuticals, bioinformatics, and computational molecular biology.

Students who major in the new joint program may NOT also minor in Biology or in Biomedical Engineering (BME) because of the degree of overlap between these programs. By Institute rules, the new joint program may NOT be combined in a double major with a bachelors degree in EECS (6-2), CS (6-3), Mathematics with CS (18C), Biology (7), or Biological Engineering (20). A double major combining the new joint program with other bachelors programs may be appropriate for some students' interests. Students who complete the joint program are not eligible for the EECS Masters of Engineering Program unless they double majored in EE (6-1). 

Students will have two academic advisors, one from EECS and one from Biology. 6-7 students will be expected to meet with both advisors at least once each semester.

6-7 flowchart

 

6-7 Interview with Kristjan Eerik Kaseniit
EECS undergraduate student Kristjan Kaseniit talks about his path to MIT EECS and his choice for the new 6-7 degree program in computer science and molecular biology.
6.01 Introduction to EECS 1
software engineering - feedback and control - circuits - probability and planning
6.005 Elements of Software Construction
By taking 6.005 you will get a jump-start on becoming a skilled designer and implementer of software. Even if you don’t plan to do software construction in your career, this course will give you a deeper understanding of what software’s about. 6.005 is a foundational class for the 6-2 and 6-3 degree programs.
6.02 Introduction to EECS II (Digital Communication Systems)
6.02: Explores communication signals, systems and networks. Substantial laboratory experiments illustrate the role of abstraction and modularity in engineering design. Students gain practical experience in building reliable systems using imperfect components; selecting appropriate design metrics; choosing effective representations for information; and evaluating tradeoffs in complex systems.
6.046 Introduction to Algorithms
  6.046 is the course based on the text Introduction to Algorithms. CSAIL members gathered on Thursday, August 4 to celebrate the sale of 500,000 copies of the textbook Introduction to Algorithms written by Professor Thomas Cormen, CSAIL Professor Charles Leiserson, CSAIL Professor Ronald Rivest and Professor Clifford Stein. The book is currently in its third edition, and has sold a half million copies since its initial publication, including 15 translations by foreign publishers.