M.S. in Mathematics

2 Years On Campus Masters Program

Syracuse University

Program Overview

The M.S. in Mathematics at Syracuse University offers advanced training in pure mathematics, applied mathematics, and statistical methods through two study options: Mathematics and Mathematics with an Emphasis in Statistics. The program develops strong analytical, theoretical, computational, and quantitative skills, preparing students for careers in research, education, data analysis, finance, and other technical industries.

Curriculum Structure

Year 1: Students establish advanced mathematical foundations through Algebra I and II (MAT 631–632), Analysis I and II (MAT 601–602), and Applied Mathematics courses (MAT 645–646, MAT 651–652, or other approved sequences). They also explore subjects such as Introduction to Complex Analysis (MAT 513), Partial Differential Equations (MAT 517), and Probability (MAT 526).

Year 2: Students deepen their specialization through advanced electives such as Topics in Applied Mathematics (MAT 518), Mathematical Statistics (MAT 525), Numerical Methods with Programming (MAT 581), and Differential Geometry (MAT 554). Students pursuing the statistics emphasis can study Linear Models (MAT 654), Statistical Simulation (MAT 653), and Multivariate Statistical Analysis (MAT 755).

Focus Areas

Pure mathematics, algebra, mathematical analysis, applied mathematics, probability theory, mathematical statistics, numerical methods, complex analysis, differential equations, statistical modelling.

Learning Outcomes

Advanced mathematical reasoning, analytical problem-solving, mathematical proof development, statistical analysis, probability modelling, numerical computation, quantitative research, mathematical communication.

Professional Alignment (Accreditation)

No specific professional accreditation is stated for the MS in Mathematics. The program provides advanced mathematical and statistical preparation for research, education, finance, technology, and industry.

Reputation (Employability & Rankings)

Academic opportunities: Syracuse University provides graduate-level training through its Department of Mathematics, with opportunities to develop specialized knowledge in mathematical theory and statistics. The program's interdisciplinary statistics electives allow students to explore applications across mathematics, psychology, and applied statistics.

Experiential Learning (Research, Projects, Internships etc.)

At Syracuse University, the M.S. in Mathematics program is designed to provide students with a robust blend of theoretical knowledge and practical skills that are essential for success in today’s data-driven world. Students engage in hands-on learning experiences that prepare them for real-world challenges, utilizing state-of-the-art facilities and tools. The program emphasizes collaboration and innovation, allowing students to work on group projects and research initiatives that deepen their understanding of mathematical concepts and applications.

 

Here are some key experiential learning opportunities available to M.S. in Mathematics students at Syracuse University:

- Research Opportunities: Engage in cutting-edge research projects alongside faculty members in specialized areas such as applied mathematics, statistics, and computational mathematics.
- Collaborative Projects: Participate in group projects that foster teamwork and problem-solving skills, often involving real-world data and scenarios.
- Internships: Access internship opportunities with local businesses and organizations, providing practical experience and networking possibilities in the field of mathematics.
- Software and Tools: Gain proficiency in industry-standard software such as MATLAB, R, and Python, which are integral for data analysis and mathematical modeling.
- Mathematics Learning Center: Utilize the dedicated Mathematics Learning Center for tutoring and collaborative study sessions, enhancing your understanding of complex topics.
- Field Trips: Experience field trips to local tech companies and research institutions, offering insights into how mathematics is applied in various industries.
- Libraries and Resources: Benefit from access to extensive library resources, including specialized mathematics databases and journals, to support your research and studies.
- Institute for Data Science: Collaborate with the Institute for Data Science at Syracuse, which provides additional resources and expertise in data analysis and computational methods.

  

Progression & Future Opportunities

Pursuing an M.S. in Mathematics at Syracuse University opens up a world of opportunities for graduates. With a strong foundation in analytical thinking and problem-solving, students can expect to find rewarding careers in various fields. Typical job roles include Data Analyst, Actuary, Financial Analyst, and Operations Research Analyst.

 

Here’s how Syracuse University supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Graduates from the M.S. in Mathematics program have a high employment rate, with many securing positions shortly after graduation. The average starting salary for graduates in related fields is around $70,000, with potential for growth as experience increases.
- University–Industry Partnerships: Syracuse has established partnerships with leading companies in finance, technology, and research, providing students with internship opportunities and real-world experience that enhances employability.
- Accreditation Value: The program is accredited and recognized nationally, ensuring that your degree holds value in the job market and meets industry standards.
- Graduation Outcomes: Alumni from the program have gone on to work at prestigious organizations, contributing to their fields and often advancing to leadership roles.

Further Academic Progression: After completing the M.S. in Mathematics, students have the option to pursue a Ph.D. in Mathematics or related fields, which can lead to academic positions or advanced research roles. Additionally, graduates may choose to specialize further by enrolling in certificate programs or pursuing additional degrees in data science, finance, or education, enhancing their expertise and career prospects.

 

Program Key Stats

$49270 (Annual cost)
Rolling


44%

Eligibility Criteria


6.5
90
Eligibility criteria

Career Options

  • Mathematician
  • Data Scientist
  • Statistician
  • Quantitative Analyst
  • Research Analyst
  • Financial Analyst
  • Actuary
  • Operations Research Analyst
  • Statistical Consultant
  • Numerical Analyst
  • Computational Scientist
  • Mathematics Lecturer
Career options

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