4 Years On Campus Bachelors Program
MIT’s Course 6-7 is a collaborative program between the Department of Electrical Engineering and Computer Science (EECS) and the Department of Biology. It integrates the analytical rigor of computer science with the empirical foundations of molecular biology, preparing students to tackle complex biological problems using computational tools.
Core Modules
Mathematics & Programming
6.100A: Introduction to Computer Science Programming in Python
6.120A: Discrete Mathematics and Proof for Computer Science
6.C06[J]: Linear Algebra and Optimization
Chemistry
5.12: Organic Chemistry I
5.601: Thermodynamics
Introductory Laboratory
Options include:
7.002 & 7.003[J]: Fundamentals and Applied Molecular Biology Laboratory (CI-M)
20.109: Laboratory Fundamentals in Biological Engineering (CI-M)
Foundational Subjects
Computer Science:
6.1010: Fundamentals of Programming
6.1210: Introduction to Algorithms
6.3900: Introduction to Machine Learning
Biological Sciences:
7.03: Genetics
7.05: General Biochemistry
7.06: Cell Biology
Restricted Electives
Courses such as:
6.8701: Computational Biology: Genomes, Networks, Evolution
7.093 & 7.094: Communication in Experimental Biology (CI-M)
Electives from AI+D, Computational Biology, or Biology tracks
MIT emphasizes hands-on learning, ensuring that students not only grasp theoretical concepts but also apply them in real-world contexts.
Laboratory Courses
Courses like 7.003[J] and 20.109 provide practical experience in molecular biology techniques and experimental design.
Undergraduate Research Opportunities Program (UROP)
Students can engage in cutting-edge research projects across various labs, allowing them to contribute to ongoing scientific inquiries.
Capstone Projects
Advanced undergraduate projects, such as 6.UAR (Seminar in Undergraduate Advanced Research), enable students to delve deep into specific topics, culminating in comprehensive reports and presentations.
6A MEng Thesis Program
This program offers students the chance to work on industry-sponsored research projects, bridging academic learning with practical applications.
Graduates of Course 6-7 are uniquely positioned at the intersection of biology and computer science, opening doors to diverse career paths:
Computational Biology & Bioinformatics
Roles in analyzing genomic data, developing algorithms for biological data interpretation, and modeling biological systems.
Pharmaceutical & Biotechnology Industries
Positions in drug discovery, personalized medicine, and the development of diagnostic tools.
Software Engineering & Data Science
Opportunities in tech companies focusing on healthcare solutions, bioinformatics platforms, and data analysis tools.
Academic & Clinical Research
Pursuing graduate studies or research positions in areas like systems biology, molecular genetics, or computational neuroscience.
Healthcare & Medicine
With the foundational knowledge in biology and computational tools, graduates can transition into medical fields, especially those emphasizing precision medicine.
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