This course may be taken prior to or during the same term.
|Degree:||Master of Science (M.S.)|
|Department:||Building 4, Room 323|
|College:||Hal Marcus College of Science and Engineering|
|Semester Hours Required For Degree: 30-31|
The M.S. in Mathematical Sciences offers students who hold a bachelor’s in mathematics, statistics, or related fields an opportunity to broaden their knowledge in several fields of mathematics, statistics, and their applications. The M.S. program is designed for students seeking careers in science, business, industry, or government; for students who want to teach in high schools or at the community college level; or for students who plan to pursue doctoral studies. The M.S. program offered by the Department of Mathematics and Statistics permits students considerable flexibility in choosing courses. For example, students who are seeking careers in financial/investment industries, banks, insurance companies, or government may choose more statistics courses that emphasize the use, adoption, and development of statistical methods and state-of-the-art computer technology in the analysis of data from problems in all fields of study.
For distance students to succeed in our hybrid distance learning program, it is very important that distance students attend live each lecture via Blackboard Collaborate. The strength of the online graduate program and students' success depend on the live interaction between students and lecturers.
In addition to the University graduate admission requirements described in the Admissions section of the catalog, the applicant must meet the following minimum departmental admission requirements for regular admission:
If an applicant has a B.S. in mathematics or a related field:
* The graduate admission test may be waived for the following:
If an applicant does not meet the above requirements, they may be considered for conditional admission. Please contact the department for more information.
If a student has a graduate degree in any of the sciences, no GRE is required.
With the approval from the department, a maximum of six credit hours may be transferred into the program.
In addition to general University requirements, students seeking the M.S. in Mathematical Sciences must meet the requirements listed below.
|MAP 2302||Differential Equations||3|
|MAS 3105||Linear Algebra||3|
|STA 3162C||Applied Statistics||4|
|Choose one of the following:||3|
|Advanced Topics in Multi-Variable Calculus|
The M.S. is offered with or without a thesis. In addition to general University requirements, students seeking the Master’s degree are required to maintain at least a 3.0 GPA in all University work undertaken in connection with the degree.
Each student must complete a minimum of 30 sh of approved course work. For the degree with thesis, 6 sh of 6000-level credit will be awarded for the thesis. For the degree without thesis, a proseminar (1 sh) is required in which the candidate will investigate and make an oral presentation of topics in mathematics or statistics. All candidates will take and pass comprehensive examinations covering the graduate core requirements.
A grade of C- or better is required in all courses.
|MAS 5145||Matrix Theory||3|
|STA 5326||Mathematical Statistics II||3|
|Advisor approved 5/6000-level courses*||18-24|
Students will choose one track.
|Choose one of the following:||6|
|Choose one of the following:||1|
|Proseminar in Mathematics|
|Proseminar in Statistics|
|Additional approved 5/6000-level courses||6|
|Students completing a thesis will take an additional 18 sh of math/stat graduate courses approved by the department while non-thesis students will take an additional 24 sh of math/stat graduate courses approved by the department. A minimum of 15 sh must be at the 6000 level.||18-24|
|Computer Science - Bldg 4/ 223||850.474.2542||http://email@example.com|
|Mathematics - Bldg 4/323||850.474.2276||http://firstname.lastname@example.org|
Method of Instruction: Online
Semester Hours: 15
The Certificate in Data Science combines advanced computer programming and database system architectures with statistical analyses and modeling. This program is designed to address the need for a skill set that includes programming, computational, and analytical skills, all of which is applicable to business, healthcare, as well as many other fields.
Participants must have a B.S. degree in computer science, the mathematical sciences, or a related field with a grade point average of 3.0 or higher. Students will be non-degree seeking, and hence will not require the GRE.
Students admitted to the certificate program must successfully complete the five courses (for a total of 15 semester hours) listed below earning a grade of "C" or better in each course, and secure a combined grade point average of 3.0 or higher.
|COP 5007||Software Engineering Foundations: Java Programming||3|
|COP 5725||Database Systems||3|
|CAP 5771||Data Mining||3|
|STA 5176||Statistical Modeling||3|
|MAP 5471||Advanced Probability and Inferences||3|
Students are expected to complete the program in at most 3 semesters.