BS Mathematics

4 Years On Campus Bachelors Program

Hofstra University

Program Overview

The Bachelor of Science in Mathematics at Hofstra University develops strong analytical, quantitative, and problem-solving skills through rigorous study of mathematical theory and applications. Designed for students interested in careers in mathematics, data analysis, finance, science, and technology, the program combines core mathematical coursework with opportunities to explore specialized topics and gain experience through research and internships.

Curriculum Structure

Year 1 — Mathematical Foundations

Students begin with Calculus I and Calculus II, building essential skills in limits, differentiation, integration, and mathematical problem-solving. Supporting coursework in writing, languages, and other liberal arts subjects strengthens communication and critical-thinking skills.

Year 2 — Core Mathematical Methods

Students advance to Calculus III, Introduction to Higher Mathematics, and Linear Algebra. These courses introduce rigorous mathematical reasoning, vector spaces, matrices, and advanced calculus concepts, preparing students for upper-level theory and applications.

Year 3 — Abstract and Applied Mathematics

Students deepen their understanding through Abstract Algebra I and Real Analysis I, alongside advanced electives selected with an academic adviser. Depending on their interests, students can explore applied mathematics, numerical methods, statistics, and other areas that connect mathematical theory with practical problems.

Year 4 — Advanced Study and Specialization

In their final year, students complete remaining upper-level mathematics requirements and electives, potentially including Abstract Algebra II, Real Analysis II, or Complex Analysis. This advanced study strengthens proof-writing, independent reasoning, and the ability to apply mathematical concepts to complex problems, preparing students for professional employment or graduate study.

Focus areas: Calculus, linear algebra, abstract algebra, real analysis, complex analysis, probability and statistics, mathematical modelling, applied mathematics, numerical analysis.

Learning outcomes: Apply mathematical reasoning, solve complex quantitative problems, construct and evaluate mathematical proofs, interpret abstract concepts, communicate mathematical ideas precisely, and develop a foundation for research or further study.

Professional alignment (accreditation): The degree develops transferable quantitative and analytical skills relevant to mathematics-related careers and postgraduate study. A separate specialized accreditation for the BS in Mathematics was not identified in the program information reviewed.

Reputation (employability rankings): Hofstra's Mathematics Department highlights graduates working at organizations including JPMorgan Chase & Co., NPD Group, and Steve Madden, Ltd. The university also provides access to research and internship opportunities; a program-specific QS or Guardian employability ranking was not identified.

Experiential Learning (Research, Projects, Internships etc.)

At Hofstra, mathematics students can connect classroom theory with real-world problems through faculty mentorship, undergraduate research, and internship opportunities. The department encourages students to explore mathematical ideas through seminars and advanced coursework, while internships can provide experience in banking, insurance, finance, and government laboratories or agencies.

Mathematics Internships: Students may pursue a mathematics internship, gaining practical experience with public or private employers and potentially earning academic credit, subject to departmental approval.
Faculty Research and Mentorship: Qualified students can participate in supervised research, particularly in their junior or senior years, and develop independent investigation skills with faculty guidance.
Research Presentations: Students who present research at professional conferences may be eligible for funding toward travel and registration expenses.
Mathematics Seminars: Department seminars expose students to mathematical research, new concepts, and applications of mathematics to scientific and social problems.
Career and Internship Support: Hofstra's career resources assist students with résumé preparation, internship searches, and identifying potential employers.
Advanced Mathematics Coursework: Courses in numerical analysis, probability and statistics, graph theory, differential equations, and dynamical systems let students explore theoretical and applied topics.

Progression & Future Opportunities

The BS in Mathematics equips graduates with analytical, logical, and quantitative skills that can be applied across business, finance, technology, research, and science. Students can pursue entry-level positions or continue into specialized graduate programs, depending on their chosen electives, technical skills, and professional experience.

Potential career paths: Data Analyst, Statistician, Quantitative Analyst, Financial Analyst.

Students can strengthen their transition into employment through Hofstra's career services and professional connections:

Career Coaching: The Career Center offers individual coaching on career planning, résumés, cover letters, job searches, interview preparation, and graduate-school applications.
Employer Connections: Students can access Handshake, career fairs, on-campus recruiting, information sessions, networking events, and employer engagement opportunities.
Internship Experience: Mathematics internships can help students build relevant experience in finance, insurance, banking, and government-related organizations.
Employment Outcomes: Hofstra reports that 92% of its undergraduate students were employed full- or part-time or enrolled in graduate school within one year of graduation. This is a university-wide figure, not a mathematics-specific outcome.
Professional Development: The degree's mathematical foundation can support career development in actuarial science, finance, computer science, engineering, and public policy. Some specialized careers may require additional qualifications, technical training, or postgraduate study.

Further Academic Progression: Graduates can consider master's or doctoral study in mathematics, applied mathematics, statistics, data science, actuarial science, quantitative finance, or related disciplines. Hofstra also offers accelerated dual-degree pathways combining mathematics with an MBA or an MS in Finance, subject to eligibility and program requirements.