Master of Science in Applied Mathematics

2 Years On Campus Masters Program

University of Maryland Baltimore County

Program Overview

The Master of Science in Applied Mathematics at UMBC develops advanced mathematical and computational skills through the practical application of mathematics to scientific, industrial and societal challenges. The program offers course-based and thesis-based options, making it suitable for students seeking careers in industry, government research or further doctoral studies.

Curriculum Structure

The program offers 30 credit hours for the comprehensive examination option and 24 coursework credits plus 6 thesis credits for the thesis option.

Year 1 – Mathematical Foundations: Students develop core knowledge through Real Analysis (MATH 600) and Matrix Analysis (MATH 603), followed by coursework in Ordinary Differential Equations or Partial Differential Equations, Numerical Analysis and Foundations of Optimization.

Year 2 – Specialization and Research: Students advance through subjects such as Optimization Algorithms, Introduction to Industrial Mathematics and Projects in Applied Mathematics. Depending on their chosen option, they complete a written comprehensive examination or undertake independent thesis research and an oral defence.

Focus Areas

Applied Mathematics, Real Analysis, Matrix Analysis, Differential Equations, Numerical Analysis, Scientific Computation, Optimization Theory, Optimization Algorithms, Industrial Mathematics, Mathematical Modeling.

Learning Outcomes

Advanced mathematical reasoning, mathematical modeling, computational problem-solving, numerical analysis, optimization techniques, scientific research, quantitative analysis, application of mathematics to industrial challenges.

Professional Alignment (Accreditation)

The program is accredited by the Middle States Commission on Higher Education, ensuring that it meets high standards of quality and rigor.

Reputation (Employability Rankings)

UMBC consistently ranks highly in employability, with strong placements in various industries, as reflected in QS World University Rankings and other reputable sources.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Maryland Baltimore County (UMBC), the Master of Science in Applied Mathematics program is designed to provide students with hands-on experiences that bridge the gap between theoretical knowledge and practical application. Students engage in a variety of experiential learning opportunities that enhance their skills and prepare them for real-world challenges. With access to state-of-the-art facilities and cutting-edge tools, you’ll be well-equipped to tackle complex mathematical problems in diverse fields.

Here are some key aspects of the experiential learning opportunities available in the Master of Science in Applied Mathematics program:

- Research Laboratories: Students can work in specialized labs such as the Center for Hybrid Multiscale Modeling, where they can engage in interdisciplinary research that combines mathematics with engineering and the sciences.

- Software and Tools: Gain proficiency in industry-standard software such as MATLAB, R, and Python, which are essential for data analysis, modeling, and simulation tasks.

- Group Projects: Collaborate with peers on team-based projects that mimic real-world scenarios, fostering teamwork and communication skills essential for professional success.

- Internships: The program encourages internships with local industries and research institutions, providing valuable work experience and networking opportunities.

- Field Trips: Participate in field trips to local tech companies and research facilities, allowing you to see how applied mathematics is utilized in various sectors.

- Libraries and Resources: Access to the Albin O. Kuhn Library & Gallery, which offers extensive resources, including databases and journals specific to mathematics and applied sciences.

- Institutes and Collaborations: Engage with the UMBC Mathematics Department and its collaborations with other institutes, enhancing your learning through seminars and workshops led by industry experts.

Progression & Future Opportunities

The Master of Science in Applied Mathematics at the University of Maryland Baltimore County (UMBC) equips graduates with the analytical and problem-solving skills needed to excel in various industries. Alumni have successfully transitioned into roles such as data analyst, quantitative researcher, and operations research analyst. With a strong foundation in applied mathematics, graduates are well-prepared for a dynamic job market:

- University Services: UMBC offers dedicated career services, including resume workshops, interview preparation, and networking events tailored for STEM students. The university also hosts job fairs that connect students directly with employers in the field.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the Applied Mathematics program find employment within six months of graduation, with starting salaries averaging around $75,000 annually.

- University–Industry Partnerships: UMBC has established partnerships with leading organizations such as Northrop Grumman and the National Security Agency, providing students with internship opportunities and real-world experience.

- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that your degree holds value and recognition in the job market.

- Graduation Outcomes: Graduates have gone on to work in diverse sectors, including finance, healthcare, and technology, demonstrating the versatility of an applied mathematics degree.

Further Academic Progression: After completing the Master of Science in Applied Mathematics, students have the option to pursue a Ph.D. in Mathematics or related fields, which can open doors to academic positions or advanced research roles. Additionally, many graduates choose to specialize further by enrolling in certificate programs or professional development courses that enhance their expertise in areas such as data science or computational mathematics. This continued education can significantly boost career prospects and earning potential.