Masters in Applied Mathematical Science in Computer Science

2 Years On Campus Masters Program

University of Georgia

Program Overview

The Master of Applied Mathematical Sciences (MAMS) at the University of Georgia is a professional graduate degree designed for students seeking advanced training in applied mathematics, computational methods, and quantitative problem-solving for careers in business, government, and industry. Offered through the School of Computing, the Computer Science option combines computer science, mathematics, and statistics, allowing students to apply computational techniques to complex scientific, technological, and real-world challenges.

Curriculum Structure:

First Year: Students establish an interdisciplinary foundation through core courses selected from three mathematical science departments. Computer Science options include Numerical Methods and Computing (CSCI 6140), Simulation and Modeling (CSCI 6210), and Algorithms (CSCI 6470), while mathematics and statistics options include Numerical Analysis I (MATH 6500) and Statistical Methods I (STAT 6210). These subjects strengthen students' understanding of computational techniques, mathematical modeling, statistical analysis, and quantitative problem-solving.

Second Year: Students advance their technical expertise through specialized coursework and sequential subjects such as Design and Analysis of Algorithms (CSCI 6470/8470), Database Management (CSCI 6370/8370), and Computational Science (CSCI 6140/8140). Additional electives may include Distributed Computing Systems (CSCI 6780), Machine Learning System (CSCI 8970), and Advanced Numerical Methods and Scientific Computing (CSCI 8150), helping students develop expertise in advanced computing, data management, and scientific applications.

Final Project Stage: Students complete Technical Report (CSCI 7100), a three-credit applied project undertaken under the supervision of a faculty advisor. The report typically involves software development, a clearly defined technical problem, appropriate documentation, and an explanation of the results. Students also present their work and demonstrate their software during a final oral examination.

Focus Areas: Applied mathematics, computational science, numerical methods, statistical analysis, algorithms, simulation and modeling, database management, scientific computing, computer graphics, cryptology, distributed computing, mathematical statistics, data analysis, and quantitative problem-solving.

Learning Outcomes: Apply computational and mathematical methods to complex real-world problems, develop and implement software solutions, analyze quantitative data using statistical techniques, design and evaluate algorithms, use numerical methods for scientific and engineering applications, develop mathematical models and simulations, communicate technical findings through professional reports, and demonstrate independent problem-solving capabilities.

Professional Alignment (Accreditation): The Master of Applied Mathematical Sciences is a professional graduate degree offered through the University of Georgia's School of Computing, with an interdisciplinary curriculum supported by the departments of Computer Science, Mathematics, and Statistics. The program emphasizes practical computational applications and requires students to complete an applied technical report instead of a traditional master's thesis. The official program page does not identify a separate program-specific professional accreditation.

Reputation (Employability Rankings): The University of Georgia's School of Computing has established research strengths in theory, systems, information systems, and artificial intelligence, supported by research groups and externally funded projects. The MAMS program prepares graduates to apply computational and quantitative expertise across business, government, scientific research, and industry. Potential career opportunities include Computational Scientist, Data Analyst, Software Developer, Quantitative Analyst, Statistical Analyst, Research Associate, Scientific Programmer, Mathematical Modeler, and Operations Research Analyst.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Georgia, the Master’s in Applied Mathematical Science with a focus on Computer Science offers students a unique opportunity to gain practical skills that are essential in today’s technology-driven world. The program emphasizes experiential learning, allowing students to engage in hands-on projects, collaborate with peers, and apply theoretical knowledge to real-world challenges. With access to state-of-the-art facilities and cutting-edge tools, students are well-equipped to thrive in their careers.

Here are some key aspects of the experiential learning opportunities available in this program:

- Research Laboratories: Students can work in specialized labs such as the Advanced Computing and Data Analytics Lab, where they can engage in innovative research projects.
- Internship Opportunities: The program encourages internships with local tech companies and organizations, providing students with valuable industry experience and networking opportunities.
- Group Projects: Collaborative projects are a core component of the curriculum, allowing students to work in teams to solve complex problems and develop their teamwork skills.
- Software Tools: Students gain proficiency in essential software tools such as MATLAB, Python, and R, which are widely used in data analysis and computational modeling.
- Field Trips: The program includes field trips to tech companies and research institutions, giving students insights into industry practices and emerging technologies.
- Libraries and Resources: Access to the UGA Main Library and specialized resources like the Science Library ensures that students have the materials they need for research and study.
- Institutes and Centers: Students can collaborate with various institutes, such as the Institute for Artificial Intelligence, to work on cutting-edge projects and gain exposure to the latest advancements in the field.

Progression & Future Opportunities

Pursuing a Master's in Applied Mathematical Science in Computer Science at the University of Georgia opens up a world of opportunities for graduates. With a strong foundation in both theoretical and practical aspects of computer science, students can expect to step into roles such as Data Scientist, Software Engineer, or Systems Analyst. The demand for skilled professionals in these areas continues to grow, making this program a strategic choice for your future career.

Here’s what you can expect in terms of progression and opportunities:

- University Services: The Career Center at UGA offers personalized career counseling, resume workshops, and interview preparation to help you secure internships and job placements. Additionally, the university hosts job fairs and networking events that connect students with industry leaders.

- Employment Stats and Salary Figures: Graduates from the program have a high employment rate, with many securing positions within six months of graduation. According to recent data, the average starting salary for graduates in this field is around $85,000, with potential for growth as experience increases.

- University–Industry Partnerships: UGA has established partnerships with leading tech companies such as Google, IBM, and Microsoft, providing students with access to internships, collaborative projects, and job opportunities that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards and is recognized globally.

- Graduation Outcomes: Alumni of the program have gone on to work at prestigious organizations and have reported high levels of job satisfaction, often advancing to leadership roles within their companies.

Further Academic Progression: After completing your Master's, you may choose to pursue a Ph.D. in Computer Science or a related field, which can lead to academic positions or advanced research roles. Alternatively, you could specialize further in areas such as Artificial Intelligence or Data Analytics, enhancing your expertise and career prospects even more.