Mathematics, MS
Offered in: Chicago
The MS program in Mathematics is designed to train students in mathematics that can be readily applied to practical, real-world problems, including those in data science, probability, statistics, and computer science, and to allow students to pursue mathematics as an intellectual discipline. Students who are interested in Actuarial Science are encouraged to apply for the MS program in Actuarial Science. The Mathematics program accepts properly prepared students who wish to attend on either a part- or full-time basis. Course offerings are primarily concentrated in the evenings to accommodate students who are employed during the day.
Admission
Applicants for admission to graduate work in Mathematics must meet the general requirements for admission to graduate work in the university. Students must have completed an undergraduate degree, not necessarily in mathematics, but must have completed linear algebra (equivalent to MATH 246 LINEAR ALGEBRA at Roosevelt) and at least three semesters of calculus (equivalent to MATH 231 CALCULUS I, MATH 232 CALCULUS II and MATH 233 CALCULUS III at Roosevelt) with grades of C- or higher and with a B (3.0) average. Students who wish to join the MS program but who are lacking some of these courses are encouraged to complete them prior to application, either at Roosevelt or elsewhere.
Each concentration in the MS has its own set of additional prerequisite courses. Students may enroll in prerequisite courses and certain graduate courses concurrently, provided the prerequisites for those graduate courses have been satisfied.
Prerequisites
Graduate students must satisfactorily complete the prerequisite courses listed below with grades of C- or higher and with a B (3.0) average, as well as any courses required of international students by the English Language Program. It is possible to make up any deficiencies after being admitted as a graduate student, but no credit will be granted towards the degree for meeting these requirements. Students may enroll in prerequisite courses and certain graduate courses concurrently, provided the prerequisites for those graduate courses have been satisfied. Program prerequisites must be completed within the first year (18 credits) of coursework. Any of these prerequisites may be waived by a placement exam. The prerequisite courses are:
Code | Title | Credit Hours |
---|---|---|
DISCRETE STRUCTURES | ||
or MATH 290 | INTRODUCTION TO PROOF | |
PROBABILITY THEORY | ||
or MATH 352 | ANALYSIS | |
Additional Prerequisite for the Computer Science Concentration | ||
COMPUTER SCIENCE I Or other programming course | ||
Additional Prerequisite for the Statistics Concentration | ||
ELEMENTARY STATISTICS Or other statistics course |
For descriptions of these prerequisites please see the course listings in the Undergraduate Catalog.
Advising
Following acceptance to the program, students meet with the graduate advisor to plan a program of study. Students must select one of the concentrations (computer science or statistics) for their program of study. All students are required to obtain approval for their course selections each semester. All courses presented for the degree must be approved by the graduate advisor. Up to 9 credit hours of transfer credit may be considered for the program; however, all such credit must be at the graduate level and may not be applied to any other earned degree.
Students completing the MS in mathematics must choose a concentration in either computer science or statistics.
Computer Science Concentration
As computer technology evolves, so do the mathematical applications including probability and statistics, numerical analysis, data analytics, cryptography, neural networks, genetic algorithms, bioinformatics, and other fields of scientific computing. Students interested in working with computers while pursuing their MS in mathematics have the option of combining at least 18 credit hours of mathematics course work with up to 15 credit hours in computer science for a total of 33 credit hours.
Requirements
The completed degree requires a total of 33 credit hours of graduate course work.
Code | Title | Credit Hours |
---|---|---|
Core 2 | 6 | |
DATA MINING | ||
NUMERICAL ANALYSIS 1 | ||
Electives | 27 | |
Select four to seven courses from among the following options: 2 | ||
HISTORY OF MATHEMATICS | ||
NUMBER THEORY | ||
INTRODUCTION TO ABSTRACT ALGEBRA | ||
GAME THEORY AND APPLICATIONS | ||
OPERATIONS RESEARCH 1 | ||
STOCHASTIC PROCESSES 1 | ||
ADVANCED PROBABILITY 1 | ||
PROBABILITY AND STATISTICS II | ||
REGRESSION & TIME SERIES 1 | ||
ANOVA & EXPERIMENTAL DESIGN 1 | ||
TOPICS IN ACTUARIAL MATH 1 | ||
SPECIAL TOPICS | ||
INDUSTRIAL APP OF MATH | ||
Select the remaining courses (for an overall total of eleven courses) from among the following: 2 | ||
ALGORITHM DESIGN | ||
BIG DATA | ||
ADVANCED ALGORITHMS | ||
COMPUTING WITH DATA IN PYTHON | ||
CRYPTOGRAPHY | ||
INTERNET SECURITY | ||
DISTRIBUTED DATABASES | ||
PROGRAMMING LANGUAGES | ||
SPECIAL TOPICS | ||
INTELLIGENT SYSTEMS | ||
COMPUTER GRAPHICS | ||
INFORMATION RETRIEVAL 1 | ||
Total Credit Hours | 33 |
- 1
At least six courses must be listed exclusively at the graduate level.
- 2
Substitutions may be made with advisor approval.
Statistics Concentration
The concentration in statistics prepares graduates for diverse and vital areas that may include medical research, drug testing, environmental risk assessment, quality assurance, economic forecasting, and the exploration of space. Students interested in applying statistics to other fields while pursuing their MS in mathematics have the option of combining at least 24 credit hours of mathematics course work with up to 9 credit hours in a cognate field (such as biology, chemistry, computer science, economics, education, finance, psychology, or sociology) for a total of 33 credit hours. If any of the core courses were taken as an undergraduate, substitutions may be made from the math electives with the approval of the graduate advisor.
Requirements
The completed degree requires a total of 33 hours of graduate course work.
Code | Title | Credit Hours |
---|---|---|
Core 2 | ||
MATH 430 | NUMERICAL ANALYSIS 1 | 3 |
MATH 446 | STOCHASTIC PROCESSES 1 | 3 |
MATH 447 | ADVANCED PROBABILITY 1 | 3 |
MATH 448 | PROBABILITY AND STATISTICS II | 3 |
MATH 449 | REGRESSION & TIME SERIES 1 | 3 |
MATH 457 | ANOVA & EXPERIMENTAL DESIGN 1 | 3 |
Electives | ||
Select two of the following: 2 | 6 | |
DATA MINING | ||
NUMBER THEORY | ||
INTRODUCTION TO ABSTRACT ALGEBRA | ||
GAME THEORY AND APPLICATIONS | ||
LINEAR PROGRAMMING & OPTIM | ||
OPERATIONS RESEARCH 1 | ||
ACTUARIAL MATHEMATICS I | ||
ACTUARIAL MATHEMATICS II | ||
DERIVATIVES MARKETS 1 | ||
LOSS MODELS 1 | ||
TOPICS IN ACTUARIAL MATH | ||
SPECIAL TOPICS | ||
INDUSTRIAL APP OF MATH | ||
Three electives from mathematics or approved cognate fields | 9 | |
Total Credit Hours | 33 |
- 1
At least six courses must be listed exclusively at the graduate level.
- 2
Substitutions may be made with advisor approval.
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different. No more than two grades of C (not C-) may be applied toward the 33 hours used for the degree. A graduate course can only be repeated once; no more than two courses can be repeated.
Year 1 | |||
---|---|---|---|
Fall | Credit Hours | Spring | Credit Hours |
MATH 409 | 3 | MATH 4XX | 3 |
MATH 430 | 3 | MATH 4XX | 3 |
CST 4XX | 3 | CST 4XX | 3 |
9 | 9 | ||
Year 2 | |||
Fall | Credit Hours | Spring | Credit Hours |
MATH 4XX or CST 4XX | 3 | MATH 4XX or CST 4XX | 3 |
MATH 4XX or CST 4XX | 3 | MATH 4XX | 3 |
MATH 4XX | 3 | ||
9 | 6 | ||
Total Credit Hours 33 |
Your degree map is a general guide suggesting courses to complete each term on the academic pathway to your degree. It is based on the most current scheduling information from your academic program. Your program’s degree map is reviewed annually and updated as schedules change (although you retain the same course requirements as long as you are continuously enrolled in your degree program).
Always work closely with your academic advisor to understand curriculum requirements and scheduling, as each student’s academic plan can look slightly different. No more than two grades of C (not C-) may be applied toward the 33 hours used for the degree. A graduate course can only be repeated once; no more than two courses can be repeated.
Year 1 | |||
---|---|---|---|
Fall | Credit Hours | Spring | Credit Hours |
MATH 446 | 3 | MATH 448 | 3 |
MATH 430 | 3 | MATH 4XX | 3 |
MATH 4XX | 3 | MATH 4XX or Cognate Area | 3 |
9 | 9 | ||
Year 2 | |||
Fall | Credit Hours | Spring | Credit Hours |
MATH 447 | 3 | MATH 457 | 3 |
MATH 449 | 3 | MATH 4XX or Cognate Area | 3 |
MATH 4XX or Cognate Area | 3 | ||
9 | 6 | ||
Total Credit Hours 33 |