Requirements for the M.S. Degree
The M.S. degree in the Department of Applied Mathematics and Statistics requires the satisfactory completion of a minimum of 30 graduate credits, excluding research, teaching and internship courses (AMS 599, 698, 699, 700, and 701). The average for all courses taken must be B or higher, and at least 18 credits of all courses taken must carry a grade of B or higher.
Students pursue a program of study planned in consultation with an academic advisor. The department has four graduate tracks. Each student must choose one of the four tracks. Each track has a set of 7 or 8 required courses which form the bulk of M.S. studentsÕ program of study. Students have considerable freedom in selecting elective courses in each track. See discussion of elective courses below for details.
Unless stated otherwise, all required courses carry 3-credits.
Course Requirements for the Computational Applied Mathematics Track
For more information abou the interdisciplinary Computaitonal Biology program, please see CompBio Website.
AMS 501 Differential Equations and Boundary Value Problems
AMS 503 Applications of Complex Analysis
AMS 504 Foundations of Applied Mathematics
AMS 505 Applied Linear Algebra
AMS 526 Numerical Analysis I
AMS 527 Numerical Analysis II
AMS 595 Fundamentals of Computing (1 credit)
Course Requirements for the Computational Biology Track
Fundamentals of Applied Math
AMS 507 Introduction to Probability
AMS 510 Analytical Methods for Applied Mathematics and Statistics
AMS 530 Principles in Parallel Computing (0 credits)
Fundamentals of Biology
MCB 520/CHE 541 Graduate Biochemistry (an alternate graduate level cell or developmental biology course may be substituted with permission)
Methods of Computational Biology
AMS 532 Journal Club/Lab Rotations in Computational Biology (2 semesters, 1 credit each semester)
AMS 533 Numerical Methods and Algorithms in Computational Biology
AMS 535 Introduction to Computational Structural Biology and Drug Design
CSE 549 Computational Biology
Course Requirements for the Operations Research and Quantitative Finance Track
AMS 507 Introduction to Probability
AMS 510 Analytical Methods for Applied Mathematics and Statistics
AMS 550 Stochastic Models
AMS 553/CSE 529 Simulation and Modeling
AMS 512 Capital Markets and Portfolio Theory OR AMS 540 Linear Programming
AMS 595 Fundamentals of Computing (1 credit)
A course in statistics (courses numbered AMS 570-586)
There are two sets of electives. Students must choose their four electives from one of these two sets:
Quantitative Finance Electives:
AMS 511 Foundations of Quantitative Finance
AMS 513 Financial Derivatives and Stochastic
AMS 514 Computational Finance
AMS 515 Case Studies in Quantitative Finance
AMS 516 Statistical Methods in Finance
AMS 517 Risk Management
One AMS graduate course (unrestricted)
Operations Research Electives:
AMS 545 Computational Geometry
AMS 546 Network Flows
AMS 547 Discrete Mathematics
AMS 556 Dynamic Programming
One additional statistics elective (AMS 570-586)
One elective from quantitative finance (AMS 511-516)
Course Requirements for the Statistics Track
AMS 510 Analytic Methods for Applied Mathematics and Statistics or both AMS 504 Foundations of Applied Mathematics; and AMS 505 Applied Linear Algebra
AMS 507 Introduction to Probability
AMS 570 Mathematical Statistics I
AMS 572 Exploratory Data Analysis I
AMS 575 Internship in Statistical Consulting
AMS 578 Regression Theory
AMS 582 Design of Experiments
AMS 597 Fundamentals of Statistical Computing (1 credit)
Elective Requirements for the M.S. Degree
Any graduate-level AMS course or, with the permission of the Applied Math Graduate Program Director, graduate-level courses in a related discipline may be used to complete the 30-credit M.S. requirement in addition to the preceding core course requirement in each track. Also, six elective credits may be earned by completion of a master's thesis.
Time Limit
All requirements for the Master of Science degree must be completed within three years of the student's first registration as a full-time graduate study. Additional time is allowed for part-time students.