Actuarial Science, Data Science & Mathematics
Welcome to the Actuarial Science, Data Science & Mathematics Career Path – your pathway for valuable insights into these dynamic fields. Stay connected with this career path to access online tools, jobs and internships, industry events, labor market updates, and relevant up-to-date resources specific to your path, guiding you on your professional journey.
Students in the Actuarial Science, Data Science, and Mathematics community are focused on mastering advanced mathematical and computational techniques to solve complex problems, make data-driven decisions, and build predictive models that drive innovation across industries. With a strong foundation in quantitative analysis, problem solving, and statistical modeling, they use these skills to analyze data and develop solutions across diverse fields. Regardless of their specific focus, students are dedicated to applying their expertise to tackle real-world challenges and advance innovation.
At RMU, we offer tailored guidance, resources, job and internship opportunities and events to support you on your Pathway to Success.

Receive the latest updates, resources, job opportunities, and internship openings specifically for Actuarial Science, Data Science & Mathematics. By tailoring your preferences, you’ll get relevant information directly to your inbox, helping you stay informed and ahead in your career journey.

Explore What Can I Do With This Major to discover the types of employers hiring in Actuarial Science, Data Science & Mathematics, along with key strategies to maximize your career opportunities. Each career path has resources including professional associations, job outlook data, and job search tools to support your next steps.

Get involved in on-campus organizations related to Actuarial Science, Data Science & Mathematics. Engaging with a community of peers and industry professionals can open doors to internships, job opportunities, and guidance, giving you the support needed to navigate your career pathway with confidence.