MATH 304 | Vector Analysis | 4 |
MATH 344 | Linear Analysis II | 4 |
MATH 350 | Mathematical Software | 4 |
or CSC/CPE 202 | Data Structures | |
MATH 410 | Complex Analysis I | 4 |
MATH 413 | Introduction to Analysis II | 4 |
MATH 416 | Differential Equations II | 4 |
or MATH 418 | Partial Differential Equations | |
MATH 451 | Numerical Analysis I | 4 |
STAT 301 | Statistics I | 4 |
or STAT 305 | Introduction to Probability and Simulation | |
Tracks | ||
Select courses from one of the following tracks. 1,2 | 12 | |
Track A | ||
Graph Theory | ||
Theory of Numbers | ||
Linear Algebra III | ||
Complex Analysis II | ||
Introduction to Analysis III | ||
Differential Equations II | ||
Partial Differential Equations | ||
Discrete Mathematics with Applications I | ||
Game Theory | ||
Numerical Analysis II | ||
Numerical Optimization | ||
Senior Project Applied Seminar | ||
Senior Project I and Senior Project II | ||
Advanced Topics in Applied Mathematics | ||
Abstract Algebra II | ||
Abstract Algebra III | ||
Track B | ||
Introduction to Data Science | ||
Data Science Process and Ethics and Data Science Projects Laboratory 3 | ||
Graph Theory | ||
or MATH 435 | Discrete Mathematics with Applications I | |
or MATH 453 | Numerical Optimization | |
Approved Electives | 12 | |
Select three courses in one of the following categories, with at least one course at the 300-level or above. 4,5 | ||
Physics Category: | ||
Planetary Systems | ||
Stars and Galaxies | ||
Cosmology | ||
General Physics II | ||
or PHYS 143 | General Physics III | |
Modern Physics I | ||
Thermal Physics I | ||
Classical Mechanics I | ||
Classical Mechanics II | ||
Introduction to Atmospheric Physics | ||
Ocean Dynamics | ||
Special Theory of Relativity | ||
Optics | ||
Quantum Computing | ||
Quantum Mechanics I | ||
Electromagnetic Fields and Waves I | ||
Solid State Physics | ||
Nonlinear Dynamical Systems | ||
Statistics Category: | ||
Statistics II | ||
Introduction to Probability and Simulation | ||
Design and Analysis of Experiments I | ||
Statistical Computing with SAS | ||
Statistical Computing with R | ||
Applied Linear Models | ||
Statistical Analysis of Time Series | ||
Survival Analysis Methods | ||
Categorical Data Analysis | ||
Applied Multivariate Statistics | ||
Survey Sampling and Methodology | ||
Design and Analysis of Experiments II | ||
Probability Theory | ||
Estimation and Sampling Theory | ||
Mathematical Statistics | ||
Computer Science Category: | ||
Data Structures | ||
Project-Based Object-Oriented Programming and Design | ||
Introduction to Computer Organization | ||
Quantum Computing | ||
Design and Analysis of Algorithms | ||
Systems Programming | ||
Introduction to Database Systems | ||
Bioinformatics Algorithms | ||
Mechanical Engineering Category: | ||
Engineering Statics | ||
Engineering Dynamics | ||
Thermodynamics I | ||
Intermediate Dynamics | ||
Fluid Mechanics I | ||
Economics Category: | ||
Intermediate Microeconomics I | ||
Intermediate Microeconomics II | ||
Intermediate Macroeconomics | ||
Industrial Organization | ||
Mathematical Economics | ||
Probability Models for Economic Decisions | ||
Total units | 56 |
1 | Only students in the Applied Mathematics concentration who are pursuing a Data Science minor should select Track B. |
2 | Students who select Track B should select Approved Electives from the Statistics Category that will fulfill prerequisites for courses in the Data Science minor. |
3 | DATA 401 and DATA 403 must be taken concurrently with DATA 402. |
4 | Consultation with advisor is recommended prior to selecting Approved Electives; bear in mind your selections may impact pursuit of post-baccalaureate studies and/or goals. |
5 | Other choices are also possible, and should be pre-approved in consultation with an academic advisor. Approved Electives are to be taken oustide of the Mathematics department and should have significant applications to mathematics. |