This is a named option within the Mathematics M.A., which is offered for work leading to the Ph.D.
Information about the requirements and policies for this program can be found in this Guide.
The M.A. (no named option) is offered for work leading to the Ph.D. Students may not apply directly for the master’s, and should instead see the admissions information for the Ph.D.
Students may also apply to the M.A. Named Option in Foundations of Advanced Studies.
Graduate School Resources
Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and restrictions related to funding.
Minimum Graduate School Requirements
Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.
Named Option Requirements
MODE OF INSTRUCTION
| Face to Face | Evening/Weekend | Online | Hybrid | Accelerated |
|---|---|---|---|---|
| Yes | No | No | No | No |
Mode of Instruction Definitions
Accelerated: Accelerated programs are offered at a fast pace that condenses the time to completion. Students are able to complete a program with minimal disruptions to careers and other commitments.
Evening/Weekend: Courses meet on the UW–Madison campus only in evenings and/or on weekends to accommodate typical business schedules. Students have the advantages of face-to-face courses with the flexibility to keep work and other life commitments.
Face-to-Face: Courses typically meet during weekdays on the UW-Madison Campus.
Hybrid: These programs combine face-to-face and online learning formats. Contact the program for more specific information.
Online: These programs are offered 100% online. Some programs may require an on-campus orientation or residency experience, but the courses will be facilitated in an online format.
CURRICULAR REQUIREMENTS
| Minimum Credit Requirement | 30 credits |
| Minimum Residence Credit Requirement | 16 credits |
| Minimum Graduate Coursework Requirement | The coursework must consist of graduate-level coursework; courses with the Graduate Level Coursework attribute are identified and searchable in the university's Course Guide (https://registrar.wisc.edu/course-guide/). |
| Overall Graduate GPA Requirement | 3.00 GPA required. |
| Other Grade Requirements | At least 12 credits from a specified list of 700 courses are required to be passed with grade B or higher. |
| Assessments and Examinations | None. |
| Language Requirements | No language requirements. |
Required COURSES
| Code | Title | Credits |
|---|---|---|
| (i) Core Courses: 1 | 12 | |
| Select four of the following: | ||
| Methods of Applied Mathematics 1 | ||
| Methods of Applied Mathematics-2 | ||
| Methods of Computational Mathematics I | ||
| Methods of Computational Mathematics II | ||
| A First Course in Real Analysis | ||
| Complex Analysis | ||
| A Second Course in Real Analysis | ||
| Theory of Probability I | ||
| Theory of Probability II | ||
| Abstract Algebra | ||
| Abstract Algebra | ||
| Introductory Topology I | ||
| Introductory Topology II | ||
| Differentiable Manifolds | ||
| Foundations of Mathematics | ||
| Set Theory | ||
| Computability Theory | ||
| Model Theory | ||
| (ii) Four Mathematics courses at 600 level or above passed with a grade of B or higher 1, 2 | 12 | |
| (iii) Electives (500 level or above) | 6 | |
| (iv) Advanced Computer Science Course: | ||
| Students must complete an advanced computer science course which involves substantial programming. Other courses require prior approval of the director of graduate studies. This requirement is waived for Math Ph.D. students, provided two qualifying exams have been passed. | ||
| Programming III | ||
| Introduction to Programming Languages and Compilers | ||
| Introduction to Operating Systems | ||
| Database Management Systems: Design and Implementation | ||
| Principles of Programming Languages | ||
| Methods of Computational Mathematics I | ||
| Methods of Computational Mathematics II | ||
| Stochastic Programming | ||
| Nonlinear Optimization II | ||
| Total Credits | 30 | |
Graduate School Policies
The Graduate School’s Academic Policies and Procedures provide essential information regarding general university policies. Program authority to set degree policies beyond the minimum required by the Graduate School lies with the degree program faculty. Policies set by the academic degree program can be found below.
Named Option-Specific Policies
Prior Coursework
Graduate Work from Other Institutions
Students in the M.A. program are allowed to count no more than 14 credits of graduate coursework from other institutions. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.
UW–Madison Undergraduate
No more than 7 credits from a UW–Madison undergraduate degree are allowed to count toward the degree. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.
UW–Madison University Special
With program approval, students are allowed to count no more than 15 credits of coursework numbered 300 or above taken as a UW–Madison Special student. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.
ProbatioN
The Graduate School regularly reviews the record of any student who earned grades of BC, C, D, F, or Incomplete in a graduate course (300 or above), or grade of U in research credits. This review could result in academic probation with a hold on future enrollment or in being suspended from the Graduate School.
- Good standing (progressing according to standards; any funding guarantee remains in place).
- Probation (not progressing according to standards but permitted to enroll; loss of funding guarantee; specific plan with dates and deadlines in place in regard to removal of probationary status).
- Unsatisfactory progress (not progressing according to standards; not permitted to enroll, dismissal, leave of absence or change of advisor or program).
ADVISOR / COMMITTEE
Students are recommended to meet with an advisor.
CREDITS PER TERM ALLOWED
15 credits
Time Constraints
Two years. Extensions have to be approved by the program.
Master’s degree students who have been absent for five or more consecutive years lose all credits that they have earned before their absence. Individual programs may count the coursework students completed prior to their absence for meeting program requirements; that coursework may not count toward Graduate School credit requirements.
Grievances and Appeals
These resources may be helpful in addressing your concerns:
- Bias or Hate Reporting
- Graduate Assistantship Policies and Procedures
- Hostile and Intimidating Behavior Policies and Procedures
- Dean of Students Office (for all students to seek grievance assistance and support)
- Employee Assistance (for personal counseling and workplace consultation around communication and conflict involving graduate assistants and other employees, post-doctoral students, faculty and staff)
- Employee Disability Resource Office (for qualified employees or applicants with disabilities to have equal employment opportunities)
- Graduate School (for informal advice at any level of review and for official appeals of program/departmental or school/college grievance decisions)
- Office of Compliance (for class harassment and discrimination, including sexual harassment and sexual violence)
- Office of Student Conduct and Community Standards (for conflicts involving students)
- Ombuds Office for Faculty and Staff (for employed graduate students and post-docs, as well as faculty and staff)
- Title IX (for concerns about discrimination)
Students should contact the department chair or program director with questions about grievances. They may also contact the L&S Academic Divisional Associate Deans, the L&S Associate Dean for Teaching and Learning Administration, or the L&S Director of Human Resources.
Other
n/a
Graduate School Resources
Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career.
Faculty: Professors Anderson, Andrews, Angenent, Arinkin, Căldăraru, Craciun, Denisov, Ellenberg, Erman, Feldman, Gong, Gurevich, Kent, Lempp, Mari-Beffa, Maxim, Miller, Paul, Poltoratski, Roch, Rycroft, Seeger, Seppäläinen (chair), Smith, Soskova, Spagnolie, Stechmann, Stovall, Street, Terwilliger, Thiffeault, Valko, Waleffe, Yang; Associate Professors Dymarz, Guo, Ifrim, Kim, Li, Marshall, Tran, Wang; Assistant Professors Apisa Chen, Cochran, Fabien, Kemeny, Lawrence, Loving, Lyu, Rodriguez, Shankar, Shcherbyna, Shen, Uyanik, Waldron, Wu, Zepeda-Núñez, Zimmer.