M.A. in Secondary Education
The Master of Arts (M.A.) in Secondary Education at Roosevelt University is an intensiv...
M.S. in Mathematics
Chicago, Illinois
INTAKE: Jan & Aug
Program Overview
The M.S. in Mathematics at Roosevelt University is a 33-credit-hour program, typically completed in two years, with courses primarily offered in the evenings to accommodate working professionals. It aims to train students in mathematics that can be readily applied to real-world problems, including those in data science, probability, statistics, and computer science. Students can choose between two concentrations: Statistics or Computer Science, allowing for tailored academic paths that align with specific career goals. Full-time, in-person course delivery is available, meeting F1 visa requirements for international students.
STEM-Designated: Yes, the M.S. in Mathematics program at Roosevelt University is STEM-designated. This is a significant advantage for international students, as it allows them to apply for an Optional Practical Training (OPT) extension after graduation. This extension provides additional time to gain practical work experience in the U.S., enhancing their career opportunities and potential for long-term employment.
Curriculum: The curriculum is rigorous and requires a strong undergraduate background, including completion of Linear Algebra and Calculus III. Students must also have completed courses in Discrete Structures or Introduction to Proof, and Probability Theory or Analysis, or be prepared to take these as prerequisites during their first year. The core curriculum includes courses such as "Data Mining" and "Numerical Analysis I." Depending on the chosen concentration, students will take a combination of mathematics and relevant courses from other departments. For the Statistics concentration, students combine at least 24 credit hours of math courses with nine hours in fields like biology, chemistry, or economics. For the Computer Science concentration, students pair at least 18 credit hours of math coursework with up to 15 hours in computer science. Electives may include "Introduction to Abstract Algebra," "Industrial Application of Math," "Probability and Statistics II," "Regression and Time Series," "Stochastic Processes," and various computer science courses like "Algorithm Design," "Big Data," and "Deep Learning."
Research Focus: While the M.S. in Mathematics is largely an applied program, Roosevelt University encourages students to engage with mathematics as an intellectual discipline and apply their knowledge to real-world problems. The "research focus" within this program often manifests through advanced coursework that develops problem-solving and analytical skills, as well as opportunities for independent study or projects where students can apply mathematical modeling to data science challenges. For example, students in the "Industrial Application of Math" course might work on mini-internship teams to solve data science problems for external partners. This applied research approach prepares graduates for roles that require strong quantitative analysis and critical thinking.
Industry Engagement: Roosevelt University places a strong emphasis on preparing its mathematics graduates for successful careers by fostering industry engagement. The program's curriculum is designed to be highly relevant to fields such as data science, probability, and statistics, which are in high demand across various sectors. The "Industrial Application of Math" course provides hands-on experience by collaborating with external organizations like the Field Museum on data science problems. Furthermore, the university encourages students to attend conferences and competitions, providing networking opportunities and exposure to industry trends. Graduates of Roosevelt's mathematics programs have found success in diverse fields, including medical research, drug testing, environmental risk assessment, quality assurance, economic forecasting, and data analytics, indicating robust industry connections.
Global Perspective: Roosevelt University embraces a global perspective by welcoming a diverse student body from metropolitan Chicago and around the world. This creates a vibrant and multicultural learning environment within the M.S. in Mathematics program. While the program's primary focus is on mathematical applications relevant to the U.S. job market, the fundamental and advanced mathematical concepts taught are universally applicable. The strong analytical and problem-solving skills acquired are highly valued globally. Roosevelt's support services for international students, including assistance with F1 visa requirements and a dedicated international admissions team, ensure a welcoming and supportive environment for students from diverse backgrounds, fostering a broad understanding of mathematical applications on an international scale.
Location
Chicago, Illinois
Score
IELTS 6.5
Tuition Fee
USD 18864
Postgraduate Entry Requirements
Application Fee: $42
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 65% 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 55 or higher.
- DET (Duolingo English Test): Minimum score of 110.
Roosevelt University in the United States offers a variety of scholarship opportunities specifically designed for international students to support their academic journey and make higher education more affordable. These scholarships recognize academic excellence, leadership potential, and contributions to campus diversity.
Merit-Based Scholarships: International students applying to Roosevelt University are eligible for merit-based scholarships awarded based on academic achievements, standardized test scores, and overall potential. These scholarships can significantly reduce tuition costs and are automatically considered during the admissions process.
International Student Scholarship Program: Roosevelt University provides special scholarships targeted at international students, aiming to encourage a diverse and global student body. These awards vary in amount and criteria but typically recognize outstanding academic performance and community involvement.
Departmental Scholarships: Certain colleges and departments within Roosevelt University, such as the Chicago College of Performing Arts and the Walter E. Heller College of Business, offer additional scholarships for international students enrolled in specific programs. These awards may be based on talent, portfolio, or academic excellence in the field of study.
An M.S. in Mathematics from Roosevelt University equips graduates with highly sought-after analytical, quantitative, and problem-solving skills, making them valuable assets across diverse industries. The program's concentrations in Statistics and Computer Science further tailor graduates for specific high-demand roles, particularly in the burgeoning field of data science.
Data Scientist: This is a rapidly growing field where mathematics graduates excel. They use advanced statistical methods, algorithms, and computational tools to collect, analyze, and interpret complex datasets, identifying trends, building predictive models, and providing data-driven insights to inform business decisions across various sectors like technology, finance, healthcare, and e-commerce.
Statistician: With a strong foundation in probability and statistical modeling, graduates can work as statisticians in fields such as medical research, drug testing, environmental risk assessment, quality assurance, and government agencies. They design experiments, conduct surveys, analyze data, and draw statistically sound conclusions.
Quantitative Analyst (Quant): Particularly for those interested in finance, a "quant" uses sophisticated mathematical models and computational techniques to price financial derivatives, develop trading strategies, manage risk, and optimize portfolios for investment banks, hedge funds, and other financial institutions.
Operations Research Analyst: These professionals use mathematical modeling, optimization techniques, and analytical methods to solve complex problems and improve efficiency in various organizations. They might work in logistics, supply chain management, resource allocation, or process improvement for businesses, government, or military.
Software Developer/Engineer: Graduates with a Computer Science concentration are well-prepared for roles in software development. Their strong logical reasoning, problem-solving abilities, and understanding of algorithms are crucial for designing, coding, testing, and maintaining software applications and systems.
Actuarial Analyst/Consultant: While Roosevelt offers a dedicated M.S. in Actuarial Sciences, an M.S. in Mathematics with a strong focus on probability and statistics can serve as a solid stepping stone into the actuarial profession. These roles involve assessing and managing financial risks, particularly in the insurance and pension industries.
Economist/Economic Forecaster: Graduates can apply mathematical and statistical models to analyze economic data, forecast economic trends, and advise on economic policies for government agencies, financial institutions, or research organizations.
Mathematics Educator/Professor: An M.S. in Mathematics can lead to teaching positions at the high school level (with additional certification) or as an instructor/adjunct professor at community colleges or universities, sharing their expertise and fostering the next generation of mathematicians.
Cryptographer/Cybersecurity Analyst: With a focus on abstract algebra and number theory, graduates can work in cryptography, designing and analyzing secure communication systems and algorithms to protect data from unauthorized access, crucial for cybersecurity roles in government, defense, and technology companies.
Research Associate/Scientist: Graduates can work in research and development across various scientific fields, including medical research, engineering, and scientific computing. They apply mathematical principles to analyze experimental data, develop computational models, and contribute to scientific discoveries.
