Master's Computational Mathematical and Statistical Sciences

2 Years On Campus Masters Program

Marquette University

Program Overview

The Master of Science in Computational Mathematical and Statistical Sciences (CMPS) at Marquette University is a 2-year interdisciplinary graduate program designed for students interested in applied mathematics, statistics, scientific computing, and computational problem-solving. The program emphasizes the discovery, implementation, simulation, and use of computational tools to solve complex scientific, engineering, and mathematical problems. It prepares graduates for careers in industry, research laboratories, analytics, and doctoral study.

Curriculum Structure

Year 1

Students begin by developing a strong foundation in computational mathematics and statistical sciences through a required core curriculum consisting of:

Scientific Computing
Computational Probability
Statistical Simulation
Applied Mathematical Analysis
Applied Linear Algebra

These courses provide advanced training in numerical methods, mathematical modeling, statistical analysis, computation, and simulation techniques.

Students also complete an adviser-approved computational course that supports their research interests and technical development.

Year 2

During the second year, students focus on advanced electives and specialized computational applications. Research opportunities often involve interdisciplinary collaborations with faculty in mathematics, statistics, engineering, computer science, natural sciences, and healthcare research.

Students choose between two degree pathways:

Thesis Option (Plan A)

24 credits of coursework
6 thesis credits
Original research contribution
Public thesis defense

Essay Option (Plan B)

30 credits of coursework
Research or professional essay
Public oral presentation

Both pathways are designed to strengthen analytical reasoning, computational expertise, and research skills.

Focus Areas

Scientific Computing; Applied Mathematics; Computational Statistics; Statistical Simulation; Computational Probability; Mathematical Modeling; Numerical Analysis; Data Analytics; Optimization; Computational Research; Applied Linear Algebra; Quantitative Methods.

Learning Outcomes

Develop expertise in scientific computing, mathematical modeling, computational algorithms, statistical analysis, simulation methods, numerical computation, programming, optimization techniques, applied research methodologies, and interdisciplinary problem-solving.

Professional Alignment (Accreditation)

The program is intended for students with backgrounds in mathematics, computer science, engineering, physics, statistics, or other quantitative disciplines. Graduates gain a distinctive combination of theoretical and computational skills that are highly valued in research institutions, engineering organizations, technology companies, healthcare analytics, finance, government laboratories, and doctoral programs.

Reputation (Employability Rankings)

Marquette University's CMPS program is one of the relatively few interdisciplinary programs in the United States that integrates computational mathematics, statistics, and scientific computing into a single graduate degree. The program benefits from collaborations across engineering, science, and healthcare disciplines, providing students with diverse research opportunities and practical applications. Graduates pursue careers as Data Scientists, Quantitative Analysts, Computational Scientists, Research Scientists, Machine Learning Professionals, Statistical Analysts, and Mathematical Modelers, while many continue into prestigious Ph.D. programs.

Experiential Learning (Research, Projects, Internships etc.)

At Marquette University, the MS in Computational Mathematical and Statistical Sciences program is designed to provide students with hands-on experiences that bridge the gap between theory and practice. Students engage in a variety of practical learning opportunities that enhance their analytical and problem-solving skills, preparing them for successful careers in data science, analytics, and related fields. The program leverages state-of-the-art facilities and tools, ensuring that students are well-equipped to tackle real-world challenges.

Here are some key aspects of experiential learning within the program:

- Research Opportunities: Students can participate in cutting-edge research projects alongside faculty members, allowing them to apply their knowledge in practical settings and contribute to advancements in the field.

- Internships: The program encourages internships with local businesses and organizations, providing students with valuable industry experience and networking opportunities.

- Software Proficiency: Students gain hands-on experience with industry-standard software such as R, Python, MATLAB, and SAS, which are essential for data analysis and statistical modeling.

- Collaborative Projects: Group projects are a significant component of the curriculum, fostering teamwork and communication skills while tackling complex problems.

- Access to Laboratories: The university offers dedicated laboratories equipped with advanced computing resources, enabling students to conduct experiments and simulations relevant to their studies.

- Field Trips: Students may have opportunities to visit local companies and research institutions, gaining insights into how theoretical concepts are applied in professional environments.

- Libraries and Resources: Marquette's libraries provide extensive resources, including access to academic journals, databases, and statistical software, supporting students' research and learning needs.

- Institute Collaborations: The program collaborates with various institutes and centers within the university, enhancing the learning experience through interdisciplinary projects and initiatives.

Progression & Future Opportunities

Pursuing an MS in Computational Mathematical and Statistical Sciences at Marquette University opens the door to a wealth of career opportunities. Graduates from this program are well-prepared for roles such as Data Scientist, Statistician, Quantitative Analyst, and Operations Research Analyst. With a strong foundation in both theoretical and applied mathematics, you’ll be equipped to tackle complex problems in various industries.

Here’s how Marquette supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Graduates from the program have a high employment rate, with many securing positions within six months of graduation. The average starting salary for graduates in related fields is competitive, often exceeding $70,000 annually.
- University–Industry Partnerships: Marquette has established partnerships with leading companies in technology, finance, and healthcare, providing students with internship opportunities and real-world experience.
- Accreditation Value: The program is accredited by relevant professional bodies, ensuring that your degree holds value in the job market and meets industry standards.
- Graduation Outcomes: Alumni have gone on to work for prestigious organizations, contributing to innovative projects and research initiatives.

Further Academic Progression: After completing your MS, you may choose to further your studies by pursuing a Ph.D. in Mathematics, Statistics, or a related field. This advanced degree can open doors to academic positions, research roles, and higher-level industry positions, allowing you to specialize in areas such as machine learning, data analytics, or statistical modeling.