Five-Year, $700,000 Award Supports Women in STEM

For women pursuing careers in science and mathematics, sustained mentorship, faculty leadership, and institutional investment are often decisive in whether opportunity leads to long-term participation. At Rutgers University–Camden, a new five-year, $700,000 award from the Henry Luce Foundation’s Clare Boothe Luce Program for Women in STEM will support professorships and initiatives designed to strengthen those pathways and expand women’s participation across STEM disciplines.

The award designates Haydee Herrera-Guzman, director of the Mathematical Sciences and the Data Science program, and Julie Griepenburg, assistant professor of physics, as Clare Boothe Luce Professors during the funding period. The work will focus on faculty and student mentorship, curriculum development, and outreach, with departmental leadership shaping how resources are deployed. The opportunity was initially brought to the attention of STEM departments by Kwangwon Lee, with departmental faculty developing and advancing the proposal.

The award and its scope were detailed in Rutgers–Camden Awarded $700,000 from the Clare Boothe Luce Program for Women in STEM,” reported by Christina Lynn, which noted that Rutgers–Camden was one of only seven institutions nationwide selected as part of a $4.4 million national investment. In announcing the award, the Faculty Advisory Steering Committee recognized “the prior work of Kwangwon Lee and the Institute for Empowering Equitable Education in STEM team, whose equity initiatives laid the important groundwork for this achievement.”

From Theory to Application: Your Pathway in Mathematical Sciences

The Mathematical Sciences Master’s Program at Rutgers University–Camden offers a comprehensive education in mathematics and statistics, emphasizing both theoretical and practical applications. Students can specialize in Pure Mathematics, focusing on areas such as algebra, geometry, analysis, and topology, or in Applied and Computational Mathematics, which includes mathematical modeling, numerical analysis, optimization, and data analysis. The program fosters a collaborative environment, providing opportunities for intellectual exchange, research collaboration, and professional networking. Graduates are well-prepared for careers in academia, research and development, data analytics, consulting, finance, engineering, and other industries that value strong quantitative and analytical skills.

Mastering Data: The Data Science Program

The Master of Science in Data Science at Rutgers University–Camden is an interdisciplinary program that equips students with skills in data analysis, machine learning, and statistical modeling. The curriculum integrates tools from mathematics, computer science, public policy, and prevention science, emphasizing practical applications across various industries. Core courses include Foundations of Data Science, Statistical Methods for Data Science, Data Visualization, and Applied Data Mining and Machine Learning. Students also engage in a thesis or capstone project, applying their knowledge to real-world problems.

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