M.A. in Anthropology
The University of Tulsa, a respected private research institution in the United States,...
M.S. in Applied Mathematics
Tulsa, Oklahoma
INTAKE: Jan & Aug
Program Overview
The University of Tulsa's Master of Science (M.S.) in Applied Mathematics is a professional degree designed to equip students with sophisticated quantitative skills for tackling complex problems across various fields, including business, industry, science, and engineering. This program typically spans 18 months to 2 years, providing a rigorous foundation in mathematical modeling and problem-solving techniques. It emphasizes the application of modern computational and analytical tools, preparing graduates to be highly skilled and adaptable in a data-driven global society.
STEM Designated: Yes, the M.S. in Applied Mathematics program at the University of Tulsa is STEM-designated. This is particularly beneficial for international students, as it often allows for an extended Optional Practical Training (OPT) period in the United States, providing valuable post-graduation work experience opportunities.
Curriculum: The M.S. in Applied Mathematics curriculum at the University of Tulsa is structured to provide a comprehensive understanding of advanced mathematical concepts and their practical applications. Core coursework typically includes topics such as multivariable calculus, ordinary differential equations, and linear algebra, with additional advanced mathematics beyond calculus. The program also requires some programming experience, underscoring its computational focus. The curriculum emphasizes the theory and application of mathematics, integrating modern communication, modeling, and computation tools necessary for interdisciplinary problem-solving and research. Students learn to apply mathematical modeling and problem-solving methods to a variety of applied topics, encompassing both computational and analytical techniques, and to communicate mathematics effectively in written and oral form.
Research Focus: The Department of Mathematics at the University of Tulsa emphasizes excellence in teaching, research, and community engagement. Faculty research in applied mathematics often focuses on areas such as applied analysis, numerical analysis, mathematical statistics, optimization theory, mathematical physics, modeling, and Bayesian statistical inference. The department also engages in collaborative research, including work in partial differential equations, bioinformatics, and computational mathematics. While the M.S. program is primarily coursework-based, students benefit from the expertise of faculty who serve as close mentors, encouraging them to explore important questions and find solutions through interdisciplinary problem-solving and research.
Industry Engagement: The M.S. in Applied Mathematics program at the University of Tulsa is highly oriented towards preparing graduates for success in diverse professional settings. The university explicitly states that the program is designed to get students ready for jobs in various fields like business and industry. Graduates are proficient in modern analytic and computational tools and gain hands-on experience in modeling and solving real-world problems. The department has strong community engagement, facilitating math circles, competitions, and summer camps, which contribute to a broader network. Furthermore, the university's "job placement guarantee" for students who follow the program, promising an entry-level job or further education within six months of graduation, highlights its commitment to industry relevance and career success. Math faculty also actively participate in industry/university partnerships and consortia.
Global Perspective: The M.S. in Applied Mathematics at the University of Tulsa inherently fosters a global perspective by preparing graduates to meet the demands of a "modern global society" where sophisticated quantitative skills are essential. The program emphasizes that mathematicians are crucial to fields like computer science, engineering, bioinformatics, data mining, finance, economics, and climatology, all of which operate on an international scale. The curriculum's focus on interdisciplinary problem-solving and exposure to advanced computational and analytical techniques ensures that graduates are equipped to tackle complex challenges that transcend national boundaries, contributing to solutions for global issues in science, engineering, business, and government. The university's overall commitment to diversity and a global outlook further enriches the educational experience for all students.
Location
Tulsa, Oklahoma
Score
IELTS 6.5
Tuition Fee
USD 27858
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
- PTE: Overall score of 56 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Standardized Test Requirements
- GRE (Graduate Record Examinations): Minimum score of 300 required.
The University of Tulsa (TU) in the United States offers a variety of scholarship opportunities to support international students in their academic journey. Attracting talented students from around the world, TU provides both merit-based and need-based scholarships to help reduce the financial burden of higher education.
Merit-Based Scholarships: International students admitted to TU are automatically considered for merit-based scholarships based on their academic achievements, standardized test scores, and overall application strength. These scholarships can significantly offset tuition costs, with awards ranging from partial tuition waivers to full scholarships. The university looks for outstanding academic records, leadership qualities, and extracurricular involvement when awarding these scholarships.
International Student Scholarships: TU offers specific scholarships aimed at international students, including renewable awards that encourage academic excellence throughout the duration of the degree program. Some scholarships are designated for particular fields of study or for students demonstrating strong community involvement.
Graduate Assistantships and Fellowships: Graduate international students may apply for assistantships and fellowships that provide tuition remission and stipends in exchange for teaching or research responsibilities. These positions not only offer financial support but also valuable professional experience within the university environment.
An M.S. in Applied Mathematics from the University of Tulsa provides graduates with highly versatile and in-demand quantitative skills, making them adept at solving complex problems across various industries. The program's emphasis on mathematical modeling, computational tools, and interdisciplinary problem-solving ensures that graduates are well-prepared for a data-driven global economy. With a strong job placement guarantee from the university, graduates are well-positioned for successful careers. The U.S. Bureau of Labor Statistics projects a much faster-than-average growth for mathematicians and statisticians, highlighting the strong demand for these skills.
Data Scientist/Analyst: This is a rapidly growing field where applied mathematicians excel. They use their strong foundation in statistics, modeling, and algorithms to collect, clean, analyze, and interpret large datasets to extract meaningful insights, predict outcomes, and inform business strategies across virtually all sectors (finance, tech, healthcare, marketing).
Quantitative Analyst (Quant): Especially prominent in the financial sector, quants develop and apply complex mathematical and statistical models to analyze financial markets, assess risk, optimize investment portfolios, and design trading strategies for banks, hedge funds, and investment firms.
Operations Research Analyst: These professionals use mathematical modeling, optimization techniques, and statistical analysis to improve efficiency, reduce costs, and enhance decision-making in various industries, including logistics, supply chain management, healthcare, and transportation.
Actuary: Actuaries assess and manage financial risk, primarily in the insurance and finance industries. They use mathematics, statistics, and financial theory to calculate probabilities of events, price insurance policies, and design pension plans.
Software Engineer/Developer: With strong programming and algorithmic skills developed in an applied mathematics program, graduates can work on designing, developing, and maintaining software applications, particularly in areas requiring advanced computational techniques like cryptography, machine learning, or scientific computing.
Research Scientist: Graduates can pursue research roles in various scientific fields (e.g., bioinformatics, epidemiology, climate modeling, physics) within government agencies, research institutions, or corporate R&D departments, applying mathematical models to analyze data, develop theories, and solve complex scientific problems.
Financial Analyst: While distinct from quants, financial analysts also use mathematical and statistical methods to evaluate investment opportunities, analyze market data, forecast economic trends, and help clients make informed financial decisions.
Bioinformatician/Computational Biologist: In the life sciences, applied mathematicians are crucial for analyzing biological data (e.g., genomic sequences, protein structures), developing computational models for biological processes, and contributing to drug discovery and personalized medicine.
Cybersecurity Analyst/Researcher: Applied mathematics, particularly in areas like number theory and cryptography, is fundamental to cybersecurity. Graduates can work on designing secure algorithms, analyzing network vulnerabilities, and developing defenses against cyber threats.
Consultant (Technical/Management): The problem-solving and analytical skills gained from an M.S. in Applied Mathematics make graduates highly effective consultants who can help organizations across diverse sectors tackle complex challenges, improve processes, and make data-driven strategic decisions.
