Computer Science and Molecular Biology (Course 6-7)
Computer Science and Molecular Biology
Bachelor of Science in Computer Science and Molecular Biology
General Institute Requirements (GIRs)
The General Institute Requirements include a Communication Requirement that is integrated into both the HASS Requirement and the requirements of each major; see details below.
| Summary of Subject Requirements | Subjects |
|---|---|
| Science Requirement | 6 |
| Humanities, Arts, and Social Sciences (HASS) Requirement; at least two of these subjects must be designated as communication-intensive (CI-H) to fulfill the Communication Requirement. | 8 |
| Restricted Electives in Science and Technology (REST) Requirement [can be satisfied by 5.12 and 6.C06[J] in the Departmental Program] | 2 |
| Laboratory Requirement (12 units) [can be satisfied by 7.003[J] or 20.109 in the Departmental Program] | 1 |
| Total GIR Subjects Required for SB Degree | 17 |
| Physical Education Requirement | |
|---|---|
| Swimming requirement, plus four physical education courses for eight points. |
Departmental Program
Choose at least two subjects in the major that are designated as communication-intensive (CI-M) to fulfill the Communication Requirement.
| Required Subjects | Units | |
| Mathematics and Introductory | ||
| 6.100A | Introduction to Computer Science Programming in Python 1 | 6 |
| or 6.100L | Introduction to Computer Science and Programming | |
| 6.120A | Discrete Mathematics and Proof for Computer Science | 6 |
| 6.C06[J] | Linear Algebra and Optimization | 12 |
| Chemistry | ||
| 5.12 | Organic Chemistry I | 12 |
| 5.601 | Thermodynamics I | 6 |
| Introductory Laboratory | ||
| Select one of the following: | 15-18 | |
| Fundamentals of Experimental Molecular Biology and Applied Molecular Biology Laboratory (CI-M) | ||
| Laboratory Fundamentals in Biological Engineering (CI-M) | ||
| Foundational Subjects | ||
| Three Computer Science subjects: | ||
| 6.1010 | Fundamentals of Programming | 12 |
| 6.1210 | Introduction to Algorithms | 12 |
| 6.3900 | Introduction to Machine Learning | 12 |
| or | ||
| Modeling with Machine Learning: from Algorithms to Applications and Machine Learning in Molecular and Cellular Biology | ||
| Three Biological Science subjects: | ||
| 7.03 | Genetics | 12 |
| 7.05 | General Biochemistry 2 | 12 |
| 7.06 | Cell Biology | 12 |
| Restricted Electives | ||
| Computational Biology | ||
| Select one of the following: | 12 | |
| Genomics and Evolution of Infectious Disease | ||
| Computational Biology: Genomes, Networks, Evolution | ||
| Modern Biostatistics and Modern Computational Biology 3 | ||
| Systems Biology | ||
| Evolutionary Biology: Concepts, Models and Computation 3 | ||
| Introduction to Computational Molecular Biology | ||
| Technical Communication | ||
| Select one of the following: | 9-12 | |
| Seminar in Undergraduate Advanced Research (12 units, CI-M) | ||
| Oral Communication (CI-M) | ||
| Communication in Experimental Biology (CI-M) | ||
| Select two subjects from any of the following lists: Biology Restricted Electives, AI+D Advanced Undergraduate Subjects, or Computational Biology. | 24-30 | |
| Units in Major | 174-189 | |
| Unrestricted Electives | 48 | |
| Units in Major That Also Satisfy the GIRs | (36) | |
| Total Units Beyond the GIRs Required for SB Degree | 186-198 | |
The units for any subject that counts as one of the 17 GIR subjects cannot also be counted as units required beyond the GIRs.
| 1 | Students who enter MIT with sufficient programming experience may substitute 6.1020 Software Construction (15 units) after taking 6.1010. |
| 2 | 5.07[J] Introduction to Biological Chemistry is also an acceptable option. |
| 3 | These subjects can count towards either the Computational Biology or the Biology restricted electives, but not both. |
Biology Restricted Electives
| 7.08[J] | Fundamentals of Chemical Biology | 12 |
| 7.093 & 7.094 | Modern Biostatistics and Modern Computational Biology 1 | 12 |
| 7.20[J] | Human Physiology | 12 |
| 7.21 | Microbial Physiology | 12 |
| 7.23[J] | Immunology | 12 |
| 7.24 | Advanced Concepts in Immunology | 12 |
| 7.26 | Molecular Basis of Infectious Disease | 12 |
| 7.27 | Principles of Human Disease and Aging | 12 |
| 7.28 | Molecular Biology | 12 |
| 7.29[J] | Cellular and Molecular Neurobiology | 12 |
| 7.30[J] | Fundamentals of Ecology | 12 |
| 7.31 | Current Topics in Mammalian Biology: Medical Implications | 12 |
| 7.32 | Systems Biology | 12 |
| 7.33[J] | Evolutionary Biology: Concepts, Models and Computation 1 | 12 |
| 7.35 | Human Genetics and Genomics | 12 |
| 7.37[J] | Molecular and Engineering Aspects of Biotechnology | 12 |
| or 7.371 | Biological and Engineering Principles Underlying Novel Biotherapeutics | |
| 7.45 | The Hallmarks of Cancer | 12 |
| 7.46 | Building with Cells | 12 |
| 7.49[J] | Developmental Neurobiology | 12 |
| 9.17 | Systems Neuroscience Laboratory | 12 |
| 9.26[J] | Principles and Applications of Genetic Engineering for Biotechnology and Neuroscience | 12 |
AI+D Advanced Undergraduate Subjects
| 6.3730[J] | Statistics, Computation and Applications | 12 |
| 6.4200[J] | Robotics: Science and Systems (CI-M) | 12 |
| 6.4210 | Robotic Manipulation (CI-M) | 15 |
| 6.5151 | Large-scale Symbolic Systems | 12 |
| 6.5831 | Database Systems | 12 |
| 6.7411 | Principles of Digital Communication | 12 |
| 6.8301 | Advances in Computer Vision (CI-M) | 15 |
| 6.8371 | Digital and Computational Photography | 12 |
| 6.8611 | Quantitative Methods for Natural Language Processing (CI-M) | 15 |
| 6.8701 | Computational Biology: Genomes, Networks, Evolution | 12 |
| 6.8711[J] | Computational Systems Biology: Deep Learning in the Life Sciences | 12 |
| 18.404 | Theory of Computation | 12 |
| 1 | These subjects can count towards either the Computational Biology or the Biology restricted electives, but not both. |
