Master of Science in Applied Mathematics (Non-Thesis)

About

Solve real world problems through mathematical modelling with our Applied Mathematics course. From biological systems to financial markets and industrial processes, we will equip you with the tools to understand and confidently explain these complicated systems. This program is designed to train students in the formulation, analysis, and solution of mathematical models in a variety of application areas. It also emphasizes interdisciplinary research and teamwork. The program addresses the State and Regional needs for students with advanced training in interdisciplinary research, and prepares students for employment in government agencies, industry, financial sectors, K-12 education, college teaching, and advanced studies in doctoral programs. Our programme will help you use your strong mathematics background and become a multidisciplinary scientist. You could be learning how to model the spread of disease, understanding air turbulence or modelling how crops can grow in dry conditions. Tackle challenges that make a difference in our changing world. Upon admission to the program, each student will undergo a review process to determine competency in undergraduate core mathematical areas and background in at least one junior-level or higher course in engineering or physics. If necessary, the appropriate course(s) will be added to the required course list for the student. Applicants are expected to hold a BS degree in Mathematics, Applied Mathematics, or a closely related field with completed coursework in: Advanced Calculus / Real Analysis, Numerical Methods and / or Scientific Computation, and Ordinary Differential Equations. Students lacking coursework in a specific area will be considered for admission but may be asked to take bridge-up coursework; if they need significant bridge-up coursework they will start at UA as undergraduate guest students. 

Career Path 

Graduate career path includes Data Scientist (Tech, Finance, Healthcare, Government),Quantitative Analyst in Finance, Operations Research Analyst, Risk Analyst (Corporate, Insurance, Banking), Machine Learning Engineer (Applied Algorithms), Actuarial Analyst (Insurance & Pension Systems), Computational Scientist (Engineering, Physics), Industrial Mathematician (Manufacturing, Logistics, Optimization) Supply Chain Optimization Specialist, Cryptographer/Information Security Analyst, Numerical Analyst (Simulation & Modeling), Biostatistician (Medical & Public Health Research), Climate & Environmental Data Analyst, Software Developer (Algorithmic & Mathematical Applications), Telecommunications Analyst (Signal), Energy Systems Analyst (Renewable & Smart Grids), Government Statistician / Policy Analyst, Academic Lecturer (Mathematics, Applied Sciences), Consultant (Analytics, Modeling, Optimization).