Master of Science in Computational & Applied Mathematics

Class Profile

Fees and Funding

Tuition Fees

$25,902 / year

FAQs

• What are the admissions requirements for the Master of Science in Computational & Applied Mathematics program?
  

  To be considered for admission to the Master of Science in Computational & Applied Mathematics program at Old Dominion University, applicants are typically expected to have:

  1. A bachelor's degree in mathematics, engineering, computer science, or a related field.
  2. Standardized test scores (if required).
  3. Proficiency in English, demonstrated through tests such as IELTS, TOEFL, or PTE.

  These requirements ensure that students possess a solid foundational knowledge before embarking on advanced studies.

• What does the program structure look like in the Computational & Applied Mathematics master's program?
  

  The Master of Science in Computational & Applied Mathematics program is designed to be completed in 24 months. The curriculum includes:

  • Core courses such as Advanced Numerical Analysis, Stochastic Processes, and Computational Statistics, which provide a strong foundation in computational techniques and mathematical reasoning.
  • Electives that allow students to tailor their education according to their interests, including subjects like Machine Learning, Data Analysis, and Optimization Methods.

  This combination of core and elective courses ensures that students receive comprehensive training while focusing on specialized areas of study that align with their career aspirations.

• What career prospects can graduates expect after completing this program?
  

  Graduates of the Master of Science in Computational & Applied Mathematics program have diverse and robust career pathways available to them. Many students find employment in various sectors, including:

  • Technology
  • Finance
  • Healthcare
  • Academia

  The program integrates practical experiences through internships and industry collaborations, ensuring that graduates are well-prepared for the workforce. With an impressive graduate employability rate, many students receive job offers even before graduation. Common job roles for graduates include:

  • Computational Scientist
  • Data Analyst
  • Research Mathematician
  • Quantitative Analyst

  Furthermore, alumni have achieved significant success in their respective fields, contributing to advancements in technology and research.

• What are the teaching methods used in the Computational & Applied Mathematics master's program?
  

  The teaching methodology in the Master of Science in Computational & Applied Mathematics program combines:

  • Traditional lectures
  • Hands-on workshops
  • Collaborative projects

  This approach fosters an interactive learning environment that encourages innovation and critical thinking, allowing students to engage deeply with the material.

• What unique aspects does the program offer that enhance the educational experience?
  

  Key highlights that enhance the educational experience in the Master of Science in Computational & Applied Mathematics program include:

  • A renowned program within a globally recognized institution, providing top-tier education.
  • An interactive curriculum that integrates theoretical learning with practical applications.
  • Access to state-of-the-art research facilities and the opportunity to collaborate with expert faculty on innovative research projects.
  • Strong emphasis on industry partnerships, which provide vital internship opportunities and professional connections.
  • A diverse alumni network showcasing successful career trajectories, inspiring current students.

  These aspects collectively contribute to a comprehensive educational experience for students.

• What are the research opportunities available for students in this program?
  

  Students in the Master of Science in Computational & Applied Mathematics program have abundant research opportunities. The university is equipped with:

  • State-of-the-art laboratories
  • Computational resources

  This environment is conducive to conducting meaningful research. Students are encouraged to collaborate with faculty on groundbreaking projects, which not only enhances their academic knowledge but also helps build professional networks. Additionally, students are given the chance to present their findings at conferences and publish papers, further enriching their research profiles.

• How does the program prepare students for industry careers?
  

  The Master of Science in Computational & Applied Mathematics program prepares students for industry careers through:

  • Integration of practical experiences via internships and collaborations with industry partners.
  • Access to real-world problems and practical insights that enhance their understanding of the application of their studies.
  • Strong emphasis on building professional networks through faculty collaborations and industry partnerships.

  These elements ensure that students are not only academically prepared but also equipped with the practical skills and connections needed to succeed in the job market.

• What is the overall emphasis of the Computational & Applied Mathematics program at Old Dominion University?
  

  The overall emphasis of the Master of Science in Computational & Applied Mathematics program is to provide students with a rich understanding of mathematical principles and their real-world applications. This includes:

  • A rigorous academic curriculum
  • Strong focus on research and practical experience

  These components are essential for students entering demanding fields in computational science and related industries, ensuring they are well-equipped to tackle complex problems.