Contacts | Program of Study | Summary of Requirements | Elective Courses | Grading | Honors

Department Website: https://cam.uchicago.edu/academics/undergraduate-programs/

### Program of Study

The Departments of Computer Science, Mathematics, and Statistics offer a BS in Computational and Applied Mathematics. The program is designed for students who intend to specialize in computational and/or applied mathematics, as well as students who want to acquire a strong quantitative background to be applied in such varied areas as physics, biological sciences, engineering, operations research, economics, and finance.

### Summary of Requirements

GENERAL EDUCATION | ||

One of the following sequences: | 200 | |

Honors General Chemistry I and Honors General Chemistry II (or higher) | ||

OR | ||

Mechanics; Electricity and Magnetism (or higher) ^{*} | ||

One of the following sequences: | 200 | |

Elementary Functions and Calculus I-II ^{§+} | ||

OR | ||

Calculus I-II ^{§+} | ||

OR | ||

Honors Calculus I-II ^{+} | ||

Total Units | 400 |

MAJOR | ||

One of the following: ^{+} | 100 | |

Honors Calculus III | ||

Introduction to Proofs in Analysis | ||

One of the following sequences: | 300 | |

Analysis in Rn I-II-III | ||

Honors Analysis in Rn I-II-III | ||

One of the following: | 100 | |

Numerical Linear Algebra | ||

or MATH 20250 | Abstract Linear Algebra | |

One of the following sequences: | 200 | |

Computer Science with Applications I-II | ||

Introduction to Computer Science I and Introduction to Computer Science II | ||

Introduction to Computer Science I-II | ||

Honors Introduction to Computer Science I-II | ||

CMSC 27100 | Discrete Mathematics ^{**} | 100 |

CMSC 27200 | Theory of Algorithms | 100 |

MATH 27300 | Basic Theory of Ordinary Differential Equations | 100 |

One of the following: | 100 | |

Basic Numerical Analysis | ||

Advanced Numerical Analysis | ||

STAT 24400-24500 | Statistical Theory and Methods I-II | 200 |

One of the following: ^{***} | 100 | |

Introduction to Mathematical Probability | ||

Introduction to Mathematical Probability-A | ||

Markov Chains, Martingales, and Brownian Motion | ||

STAT 28000 | Optimization | 100 |

Three approved electives (see Elective Courses below) | 300 | |

Total Units | 1800 |

* | Students with AP credit for PHYS 12100-12200 may substitute quantitative courses in other scientific departments with permission of the director of undergraduate studies; whether these other courses count as electives within the major or as general electives will be determined by the director of undergraduate studies. |

+ | Credit may be granted by examination. |

§ | Students who take MATH 13100-13200 or MATH 15100-15200 must also take the third quarter of the sequence as a prerequisite for MATH 15910; however, neither MATH 13300 nor MATH 15300 will be counted toward the major. |

** | Students may substitute a higher-level Computer Science course in discrete mathematics or algorithms with approval of the director of undergraduate studies. |

*** | Students who take STAT 25100 or STAT 25150 may take MATH 23500 as one of their electives with approval of the director of undergraduate studies. STAT 31200 may be substituted for MATH 23500. |

### Elective Courses

Students will propose a coherent set of three courses to complete the major program. These will be chosen to complete a specialization. Possibilities include: preparation for PhD programs in applied mathematics, scientific computing, machine learning, operations research, economics and finance, physical sciences, or biological sciences. These are intended to be mathematical and computational courses that complement the program and at least at the mathematical level of the advanced classes in the required courses. The program must be approved by the undergraduate adviser, who will also serve as a resource for suggested mentors and programs in different areas.

### Grading

Students must receive quality grades in all courses required in the degree program. To qualify for the BS degree, students must complete the 18 courses above with (1) a GPA of 2.0 or higher and (2) no grade lower than C-.

### Honors

A BS with honors in Computational and Applied Mathematics requires an overall GPA of at least 3.0, a GPA in the required courses for the major of at least 3.25, and the completion of an honors paper written under the supervision of a faculty member and approved by the undergraduate adviser for the major. Students planning to complete an honors paper should submit a short proposal to the undergraduate adviser for approval by the Computational and Applied Mathematics board by the end of the student's third year. The proposal must be approved by the board no later than the end of fifth week of the Autumn Quarter of the student's fourth year.