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An Applied Mathematics degree can open doors into many different industries including finance, statistics, operations research, data science, and research. The mathematical reasoning, computational skills, and ability to apply them to solve real problems are all skills valued by employers and provide most of the goals on which we built this program. Being part of the Center for Data, Mathematical, and Computational Sciences provides the additional intersectionality between the Applied Mathematics and the Data Science and Computer Science programs. This gives enrolled students an interdisciplinary perspective in all courses, including mathematics courses, which will make them highly effective team members in the workplace.

This Applied Mathematics degree is a 30-credit program requiring courses in Applied Linear Algebra, Applied Probability, and Mathematical Modeling, along with Ethics in Data and Computing and a Master’s Thesis. Students will select five electives from two categories. The first category is a mathematics category that includes four courses with the potential to add more. The second category is an applications category that includes courses from the Computer Science and Data Science programs designed to build students’ computational skills and interdisciplinary understanding. Students may also participate in a Fieldwork Experience to satisfy this elective category. The opportunity to work with industry partners is a relatively rare component of a M.S. in Applied Mathematics (MSAM) program. In conjunction with the MS in Data Science and MS in Computer Science, Ramapo has an exciting and strong core of technology-related graduate programs. The interlocking aspects of the three curriculums will provide the opportunities for interdisciplinary collaboration Ramapo is known for in its undergraduate programs.

The Master of Science (MS) degree is a 30-credit program. Full-time students will complete their degree in two years; however, students may work towards the degree part-time as well. Courses are delivered as a combination of online, hybrid, and evening in-seat format.

Goal 1: Problem Solving: Engage effectively and creatively in problem solving, including exploring multiple approaches, and assessing potential solutions.

Goal 2: Reason mathematically: Reason in mathematical arguments at an advanced level, including posing problems precisely, articulating assumptions and limitations of the approach, and reasoning logically to conclusions.

Goal 3: Data Analysis: Students must have the mathematics and computing skills to effectively analyze collected data.

Goal 4: Presentation and Communication: Students must be able to communicate their analysis, model, and implementation strategies and create effective visualizations to support their analysis.

Goal 5: Integrated Skills: Students will be able to integrate the skills described above in fieldwork/thesis projects.

Goal 6: Ethics in work: Recognize ethical and responsible conduct and learn to apply them in practice.

Learning Outcomes

Outcome 1:  Demonstrate advanced problem-solving skills.

Outcome 2:  Demonstrate advanced reasoning skills.

Outcome 3:  Demonstrate advanced skills in data analysis techniques using mathematics and statistical principles.

Outcome 4:  Demonstrate advanced skills in data presentation, communication, and visualization.

Outcome 5:  Demonstrate the ability to integrate skills in a multi-faceted project.

Outcome 6: Demonstrate ethical awareness, the ability to do ethical reflection, and the ability to apply ethical principles in decision-making.

1. The degree program consists of 30 credits from the following courses.
2. To remain in good academic standing, students must maintain a cumulative GPA of 3.0 higher.

Applied Mathematics Program