Program Overview

Program Overview

The Mathematical Sciences Master’s Program at Rutgers University-Camden offers a comprehensive and rigorous education in mathematics and statistics and their interdisciplinary applications. The program is designed to equip students with advanced mathematical knowledge and analytical skills necessary for success in various professional and academic pursuits.

Program Details

• Degree: Master of Science (M.S.)
• Credits: 30 credits
• Format: Full-time or part-time, on-campus
• Duration: 4-5 semesters
• Funding: University and Graduate School Funding Available (Partial funding only)

Program Tracks

The program offers two tracks:

• Pure Mathematics: Focuses on theoretical aspects of mathematics, allowing students to delve into areas such as algebra, geometry, analysis, and topology.
• Applied & Computational Mathematics: Emphasizes the practical applications of mathematics, including mathematical modeling, numerical analysis, optimization, and data analysis.

Career Opportunities

Upon completion of the program, students will be well-prepared for a variety of career paths, including:

• Academic careers, teaching at the college level or earning a doctoral degree in mathematics or related fields.
• Research and development, data analytics, consulting, finance, engineering, and various other industries that value strong quantitative and analytical skills.

Featured Courses

• Mathematical Reasoning (56:645:508): Focuses on key math writing skills: reasoning (proof analysis) and precision (formulating and writing logical statements), with examples and guidelines.
• Geometry (56:645:532): Explores Euclid’s geometry, its foundations, Euclidean and hyperbolic geometries.
• Combinatorial Optimization (56:645:538): Explores algorithms for discrete optimization problems.
• Parallel Supercomputing (56:645:542): Covers parallel supercomputer program design, programming models, performance optimization, application examples, cost models, and performance analysis.
• Industrial Mathematics (56:645:560): Employs MATLAB and C++ for problem-solving, addressing real-world industry issues.
• Introduction to the Theory of Computation I (56:645:533): Introduces formal languages, automata, and computability.

Admissions Requirements

• Transcripts: A transcript showing the completion of an undergraduate degree in science or mathematics, with a GPA greater than 3.0.
• Letters of Recommendation: Two letters of recommendation.
• Personal Statement: A personal statement.
• Standardized Test: GRE Scores (Encouraged but not required).

Application Deadlines

• Fall: March 15
• Spring: October 15
• Summer: Not offered

Research Areas

The program offers opportunities for research in various areas, including:

• Pure Mathematics
• Applied & Computational Mathematics
• Mathematical Modeling
• Numerical Analysis
• Optimization
• Data Analysis

Community

The program provides a supportive and collaborative environment, where students can interact with faculty and fellow students who share their passion for mathematics. The dynamic community offers valuable opportunities for intellectual exchange, collaboration on research projects, and networking with professionals in academia, industry, and research institutions.