Career Options for Graduates with an Applied Math BS

Career Options for Graduates with an Applied Math BS

The Bachelor of Science in Applied Mathematics (BSAM) is a versatile and valuable degree that opens doors to a wide range of career opportunities, especially in sectors such as defense, finance, and technology.

1. Defense and Intelligence Community

Many companies and organizations, both large and small, work on complex research and development projects funded by the Department of Defense (DoD) and Intelligence Community. These organizations often need talented applied mathematicians to contribute to their advanced projects. As an applied mathematician, you can work on modeling various dynamic systems and processes, utilizing your skills to provide valuable insights and solutions to these projects.

Some specific job roles in this sector include:

Modeling and simulation specialists Data analysts and scientists Operations research analysts

2. Quantitative Analysis in Finance

Another exciting career path for applied mathematicians is becoming a quantitative analyst (quant) at a hedge fund or prop-firm. While these positions are predominantly found in financial hubs like New York and Chicago, they are gradually expanding to other regions, including the Bay Area. At these firms, you will have the opportunity to develop mathematical models, which are crucial for making predictions and driving strategic decisions in the financial markets.

If you are inclined to specialize in this field, consider pursuing a master's degree to enhance your skills and increase your employability. Many positions in hedge funds and prop-firms require advanced analytical skills and a solid understanding of financial markets.

3. Software Engineering and Data Science

Given that mathematics underlies all science and engineering, there is a vast array of job opportunities in software engineering and data science, particularly for applied mathematicians. Software engineering not only includes coding but also involves designing algorithms and models that solve complex problems. Additionally, data science roles require strong skills in statistical analysis, machine learning, and data visualization.

While many roles in software development and data science do involve programming, it is not the only skill required. Practical mathematical knowledge and problem-solving abilities are highly valued in these fields. If you have an aversion to programming, consider taking courses in numerical analysis and learning alternative tools and methods that do not rely heavily on traditional programming.

4. National Labs and Defense Research

Research institutions like national labs offer unique opportunities for applied mathematicians. These labs, such as Oak Ridge National Lab, are involved in a wide range of scientific and engineering projects. Many of these labs hire applied mathematicians to work on cutting-edge research and development, often in collaboration with universities and other organizations.

Key benefits of working in these labs include:

Challenging and varied work High salaries Job security and career growth

5. Tech Companies and Startups

Tech companies and startups are also keen to hire applied mathematicians due to the increasing demand for data-driven decision-making and advanced analytics. Roles in these companies may include:

Data mining and machine learning Algorithm development Product optimization and user experience (UX) improvement

Examples of companies that may be hiring include Google, Facebook, Microsoft, and various social networking and fintech firms.

Conclusion

Graduates with an Applied Math BS have a multitude of career options available to them. From defense and intelligence to finance and technology, there are numerous sectors eagerly seeking talented individuals with a strong background in applied mathematics. By exploring these diverse opportunities and considering your unique skills and interests, you can find a fulfilling path that leverages your degree effectively.

Key Takeaways

Defense and Intelligence Community: Modeling and simulation, data analysis Quantitative Analysis in Finance: Hedge funds, prop-firms, predictive modeling Software Engineering and Data Science: Algorithm development, data analysis, machine learning National Labs and Defense Research: Research collaboration, project-based work, high-paying jobs Tech Companies: Data mining, UX improvement, machine learning development