The mathematics program at Coastal Georgia provides big school opportunities with a small school touch. With a supportive and student-centered faculty, the Department of Mathematics strives to prepare students for math careers in the public and private sectors.
A Bachelor of Science in Mathematics degree will prepare students for a variety of careers by developing analytical and critical thinking skills, which are highly desirable in the job market. The mathematics degree offers the flexibility to be easily applied to a wide range of careers. Post graduation, it’s easy to switch to another field, like Data Science, but not vice versa. Graduates from the program have gone on to distinguished graduate programs and industry jobs.
The concentrations offered in Mathematics are Environmental Modelling and General Mathematics. Each concentration provides skill development in analysis, critical thinking computation, application, synthesis, and communication. Some of the highlighted course work includes Linear Algebra, Logic & Proof, Numerical Analysis, History of Mathematics, Operations Research, R and MATLAB programing, etc.
The Math & Data Science Club is very active and provides opportunities for students to give presentations, engage with faculty outside of the classroom, and meet faculty and professionals from across the country.
In 2021, the Georgia Theta Chapter of Kappa Mu Epsilon was established. KME is a national math honor society. Shown above are the inaugural Georgia Theta officers, Marianela Landi (president), Monique Deschenes (vice president), Kaelyn Tyler (treasurer), and Darius Hammond (secretary).”
Info coming soon!
This concentration is designed to provide students with an understanding of the concepts and structures that underlie all mathematics, as well as to give the functional knowledge necessary to apply mathematical ideas and techniques to “real world” problems.
Our Secondary Education Mathematics program will refine your analytical, critical thinking, and problem-solving skills. Upon graduation, you will be well-equipped to teach middle and high school mathematics to all students.
Education
M.S. in Mathematics, University of North Carolina Wilmington
Post-Baccalaureate Certificate in Statistics, University of North Carolina Wilmington
Teaching and Research Interests / Recent Publications or Scholarly Output
My teaching interests focus on helping students build a strong foundation in mathematics while encouraging critical thinking and problem-solving. I enjoy creating an engaging classroom environment where students can connect abstract concepts to practical applications. My research interests include mathematics education and algebra. I have studied the impact of Common Core standards on state testing and conducted a project on the zeros of polynomials.

Education
Master of Statistics in Statistics, University of Florida
B.A. in Secondary Mathematics Education, Flagler College
B.S. in Mathematics, Flagler College
Teaching and Research Interests / Recent Publications or Scholarly Output
My teaching interests include mathematics and statistics, with a focus on developing students’ analytical and problem-solving skills. My research interests include psychometrics, assessment design, and item response theory, as well as applications of statistical modeling in education. I enjoy creating learning experiences that connect theoretical concepts to real-world contexts.
Education
Ph.D. Mathematics, Emory University
B.A. Mathematics, Redlands University
Teaching and Research Interests / Recent Publications or Scholarly Output
Research Interests: Inverse geometric problems, pseudo-riemannian manifolds, fractal geometry
Teaching Interests: Active learning, semi-flipped classrooms
Education
Ph.D. in Mathematics, University of South Carolina
B.A. in Mathematics and Computer Science, Wofford College
Teaching and Research Interests / Recent Publications or Scholarly Output
I teach a wide range of courses, from College Algebra to Real Analysis and Abstract Algebra. My scholarly interests are focused on the field of Algebra, specifically commutative and homological algebra. I also spend time on applications of mathematics to endurance sports.

Education
Ph.D. in Mathematical Statistics and Interdisciplinary Applications, University of Texas Rio Grande Valley
M.Sc. in Applied Mathematics, University of Silesia in Katowice (Poland)
M.Sc. in Mathematical Engineering, University of L’Aquila (Italy)
B.Sc. (Honors) in Mathematics, University of The Gambia (The Gambia)
Teaching and Research Interests / Recent Publications or Scholarly Output
My teaching and research interests lie at the intersection of applied mathematics, data science, and artificial intelligence, with a strong emphasis on real-world problem solving. In teaching, I focus on making quantitative concepts accessible and relevant, particularly in courses such as calculus, linear algebra, numerical analysis, statistics, quantum physics and information theory, and data science, while integrating computation and visualization to enhance student learning. My research centers on AI-driven analytics, scientific computing, and mathematical modeling, with applications in healthcare diagnostics, image processing, and climate and engineering systems. Recent scholarly work includes peer-reviewed publications on neural networks and p-adic PDE-based image processing, contributions to scientific software development for high-performance computing, and applied optimization research, alongside ongoing interdisciplinary projects that bridge theory, computation, and practical impact.

Education
Ph.D. in Applied Mathematics, Wichita State University
M.S. in Mathematics, Wichita State University
B.S. in Physics, Universidad Nacional de Colombia
Teaching and Research Interests / Recent Publications or Scholarly Output
Computational fluid dynamics, mathematical modeling, partial differential equations, numerical analysis, and scientific computing. Notable project: Neural Bypass through a Brain-Computer Interface (BCI) that integrated an Electroencephalograph (EEG) with a Transcutaneous Electrical Nerve Stimulation (TENS) unit. In this project the user was able to move their arms without engaging the motor cortex and bypassing brain-spine communications.