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Master's Degree Science Full Time

MS in Computational & Applied Mathematics

at Claremont Graduate University ยท United States

Duration

1โ€“2 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Master of Science in Computational & Applied Mathematics at Claremont Graduate University delves into the mathematical theories and computational methods that solve real-world problems. The program emphasizes a blend of rigorous mathematical training and practical computational skills, preparing students to tackle complex challenges in various scientific and engineering fields. Throughout the course, students will engage in topics such as numerical analysis, optimization, mathematical modeling, and statistical methods.

Students can expect a structured curriculum that combines core courses with elective options, allowing for a tailored educational experience. Core areas of study include advanced mathematical concepts and their applications, while electives may focus on data analysis, machine learning, or specialized computational techniques. By working on theoretical and applied projects, students also develop essential skills in programming, problem-solving, and critical thinking.

Studying in the United States offers students access to cutting-edge research, a diverse academic environment, and opportunities for collaboration with industry leaders. The strong emphasis on innovation in technology and mathematics within the country also ensures that graduates are well-prepared for the demands of the global job market.

Entry requirements

Applicants are typically required to have a bachelor's degree in mathematics, statistics, engineering, or a related field. A strong foundation in calculus, linear algebra, and differential equations is essential. Additionally, relevant coursework in computer science or programming experience is advantageous. Candidates may also be evaluated based on their academic performance, letters of recommendation, and personal statements highlighting their interest in the field.

English:

Non-native English speakers must demonstrate proficiency in the English language through standardized tests. Typically, an IELTS score of 6.5 or higher or a TOEFL score of 80 or higher is expected. Applicants should verify the exact requirements as they may vary by program.

International students:

International students must secure a student visa to study in the United States. Required documents generally include a valid passport, proof of financial support, admission acceptance letter, and any additional forms specified by the U.S. immigration authorities. Students are encouraged to check the official requirements on the U.S. government website or their local embassy.

Career outcomes

  • Data Scientist
  • Quantitative Analyst
  • Research Scientist
  • Operations Research Analyst
  • Software Engineer
  • Mathematician
  • Statistical Consultant

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