2.4.1. B.S. in Mathematics (24 Hours)
2.4.2. B.S. with Distinction in Mathematics (39 Hours)
Prerequisite
A minimum GPA of 3.60 in upper division (500 and above) major courses and 3.30 overall when the student applies to enter the B.S. with Distinction in Mathematics track.
Requirements
The student should apply to enter the B.S. with Distinction in Mathematics track and choose the members of the thesis committee as early as possible, but in all cases at least one year before completion of the degree. The committee will consist of a thesis advisor, who must be a tenure-track faculty member in Mathematics, and one or two other tenure-track or research faculty members in Mathematics or any other department, as approved by the Undergraduate Advisory Council. The senior thesis consists of either significant original work or a synthesis of known material beyond the scope of ordinary undergraduate coursework. The student may use their senior thesis to simultaneously fulfill other requirements as well (e.g., Magellan Scholarship, Honors College Thesis, etc.), at the discretion of the thesis advisor.
By the end of the semester in which the student is admitted into the B.S. with Distinction in Mathematics track, a brief research plan must be agreed upon by the thesis committee and the student, and filed in the Department of Mathematics and College of Arts and Sciences. Before submitting and defending the thesis, the student must have completed three credit hours of MATH 499 (Undergraduate Research) under the supervision of the thesisadvisor, and at least 12 hours of upper-level (500 and above) MATH credit approved by the Undergraduate Director beyond the 24 credit hours of 500-level MATH courses required for the B.S. in Mathematics.
By the end of the student’s last semester, the student must present and defend the senior thesis before the thesis committee. The defense must be announced at least one week in advance and be open to the general public. A certificate attesting to a successful defense, signed by the committee, must be placed on file with both the Department of Mathematics and the College of Arts and Sciences. In addition, prior to graduation the student must have either (a) presented the research at a meeting of a professional society, at Discovery Day at USC, or at a comparable venue; or (b) submitted the work for publication in an undergraduate or professional journal.
Students who successfully fulfill all of these requirements with a GPA of at least 3.60 in upper division (500 and above) major courses and 3.30 overall, will be awarded their degree with “Distinction in Mathematics” upon graduation.
2.6. General Guidelines for Selecting 500-level MATH Electives
2.6.1. Students planning to go to graduate school in mathematics should complete at least one of the two-semester sequences in algebra (MATH 546 and MATH 547) or analysis (MATH 554 and MATH 555). Completing both two-semester sequences provides the strongest foundation for graduate study in mathematics. Students completing this combination of courses are well on their way towards completing the B.S. with Distinction in Mathematics.
2.6.2. Students planning to become mathematics teachers at the secondary (grades 9-12) level should choose MATH 574, MATH 580, and at least one of MATH 531 or MATH 532. In addition, as a cognate, these students should take
EDFI 300 - Schools In Communities
EDPY 401 - Learners and the Diversity of Learning
EDSE 302 - Teachers and Teaching
EDSE 500 - Equity and Community Engagement
With two additional Education courses, students complete a minor in Education. This selection of MATH electives and of the education cognate positions students to complete, after completomg a B.S. in Mathematics, a one-year graduate Master of Teaching degree from the College of Education and apply for grades 9-12 mathematics licensure in South Carolina.
2.6.3. Students planning to pursue a career in actuarial science should declare a Risk Management and Insurance Minor and complete their MATH electives with the following courses:
MATH 511 - Probability
MATH 520 - Ordinary Differential Equations
MATH 574 - Discrete Mathematics I
and either MATH 524 - Nonlinear Optimization
or MATH 570 - Discrete Optimization
Risk Management and Insurance Minor is completed by taking ACCT 225, ECON 221 and 222, and FINA 363, 469, 471, and 475.
To develop a strong basis for success in the initial actuarial examinations (Exam P and Exam F), and to qualify for the Society of Actuaries’ Validation through Educational Experience (VEE) in Applied Statistics, Economics, and Corporate Finance, students should complete the following collection of 30 semester hours in the Department of Statistics and the Darla Moore School of Business. For detailed information about the VEE program, see https://www.soa.org/Education/Exam-Req/edu-vee.aspx.
Mathematical Statistics and Statistical Models (9 Hours)
STAT 512 - Mathematical Statistics
STAT 513 - Theory of Statistical Inference
ECON 436 - Introductory Econometrics
Economics and Corporate Finance (12 Hours)
ACCT 225 - Introduction to Financial Accounting
ECON 221 - Principles of Microeconomics
ECON 222 - Principles of Macroeconomics
FINA 363 - Introduction to Finance
Risk Management and Insurance (0-3 Hours)
FINA 341 - Management of Risk and Insurance
Finance and Stochastic Processes (3-6 Hours) from
FINA 469 - Investment Analysis and Portfolio Management
FINA 471 - Derivative Securities
FINA 475 - Fixed Income Securities
STAT 521 - Applied Stochastic Processes
Computing (3 Hours) from
CSCE 146 - Algorithmic Design II
MGSC 390 - Business Information Systems
STAT 540 - Computing in Statistics
2.6.4. Students planning to undertake further study in applied mathematics or who intend to start mathematical careers in the private or public sectors after graduation, should consider MATH 520 and other courses in Differential Equations and Modeling, in Discrete Mathematics, in Financial Mathematics, and in Optimization and Computation, including 9 credit hours from two of the following categories.
Differential Equations and Modeling
MATH 521 - Boundary Value Problems and Partial Differential Equations
MATH 522 - Wavelets
MATH 523 - Mathematical Modeling of Population Biology
Discrete Mathematics
MATH 541 - Algebraic Coding Theory
MATH 570 - Discrete Optimization
MATH 575 - Discrete Mathematics II
MATH 576 - Combinatorial Game Theory
MATH 587 - Introduction to Cryptography
Financial Mathematics and Probability
MATH 511 - Probability
MATH 514 - Financial Mathematics I
MATH 515 - Financial Mathematics II
Optimization and Computation
MATH 524 - Nonlinear Optimization
MATH 527 - Numerical Analysis
MATH 570 - Discrete Optimization
Analysis
MATH 550 - Vector Analysis
MATH 552 - Applied Complex Variables
MATH 555 - Analysis II