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Applied Math Jobs in Maryland (NOW HIRING)

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Applied Math information

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$21.8K

$57.1K

$91.7K

How much do applied math jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applied math in Maryland is $57,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $67,900.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Maryland? For Applied Math jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Maryland look for? The top searched job categories for Applied Math jobs in Maryland are:
What cities in Maryland are hiring for Applied Math jobs? Cities in Maryland with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Maryland as of July 2026, with employment types broken down into 4% Internship, 80% Full Time, 12% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $57,104 per year, or $27.5 per hour.
Professor of Cybersecurity in the Mathematical Sciences

Professor of Cybersecurity in the Mathematical Sciences

University of Maryland Baltimore County

Baltimore, MD • On-site

$95K - $150K/yr

Full-time

Posted 6 days ago

Job description

Description
The University of Maryland, Baltimore County (UMBC) Department of Mathematics and Statistics invites applications for an open-rank faculty member related to cybersecurity (broadly defined) to begin in August 2025. The appointment is 9 months per year. Candidates should have finished their PhD in Mathematics, Applied Mathematics, Statistics, or an appropriately related field before their appointment start date.
A successful candidate should have a strong background in relevant mathematical and statistical methods and possess research synergy with current faculty members. Research interests including, but not limited to, data science and machine learning in cybersecurity, as well as quantum computation and encryption in cybersecurity, are desirable.
Qualifications
Candidates should have finished their PhD in Mathematics, Applied Mathematics, Statistics, or an appropriately related field before their appointment start date.
We seek candidates who will establish vigorous, externally-funded research programs and contribute to the diversity and excellence in departmental teaching, mentoring, and service.
This position is part of a multi-year, campus-wide, and state-supported hiring initiative to develop the UMBC Cybersecurity Institute (UCI), which today comprises over thirty faculty members from six departments across all of the colleges at UMBC. UCI-affiliated faculty members will have a tenure/tenure-track appointment in their respective department, but will be expected to collaborate across disciplines and participate in a cohort of faculty members in the rapidly growing, interdisciplinary field of cybersecurity.
Salary Range: $95,000 - $150,000 (Professor); $85,000 - $118,000 (Associate Professor); $75,000 - $100,000 (Assistant Professor), commensurate with experience. The above salary ranges represent the University's good faith and reasonable estimate of the range of possible conpensation at the time of posting. UMBC offers a rich benefits package. Benefits offered align with type of position and may be prorated based on hours per week.
Application Instructions
Applicants should submit (a) a concise cover letter; (b) a curriculum vitae (including a list of publications); (c) a statement of research; (d) a brief teaching statement; (e) a short statement on commitment to inclusive excellence in higher education; and (f) have at least three letters of recommendation submitted using the Interfolio system:
https://apply.interfolio.com/159201
Applications submitted by December 1, 2024 will be given full consideration, although applications will continue to be reviewed until the position is filled. Early application is encouraged.

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