COURSE CURRICULUM

The Bachelor of Science in Mathematics program at Texas State University is designed to build strong analytical, problem-solving, and computational skills that are essential for careers in science, technology, engineering, data analysis, and education. The program begins with a rigorous foundation in mathematics and supporting disciplines during the freshman year. Students take advanced calculus courses such as MATH 2471 and MATH 2472, along with communication, government, science, and general education requirements. These early courses are intended to strengthen logical reasoning and provide the mathematical foundation needed for higher-level study.In the sophomore year, students move into more specialized mathematics courses such as linear algebra, differential equations, and computer science fundamentals. Courses like CS 1428 introduce programming skills, which are increasingly important in modern mathematical applications. Students also continue general education requirements while beginning to select a minor, which allows them to connect mathematics with another academic field such as physics, economics, or computer science.During the junior year, students take advanced mathematics courses such as mathematical proof techniques, abstract reasoning, and computational methods. At this stage, they also begin studying higher-level electives and may choose courses that align with applied mathematics, theoretical mathematics, or data-focused pathways. A minor continues alongside major coursework, helping students broaden their academic perspective.In the senior year, students complete advanced mathematics electives and capstone-level courses that focus on topics such as probability, statistics, numerical analysis, algebra, and differential equations. These courses prepare students for complex real-world problem-solving and research-based work. The program also requires a significant number of electives, allowing students to specialize further or prepare for graduate studies.Overall, this degree emphasizes strong mathematical theory combined with computational and applied skills. It prepares students for careers in fields such as data science, engineering, finance, actuarial science, research, and academia by developing deep analytical thinking and technical expertise across multiple branches of mathematics.