University of Maryland

USA
3 Scholarships 97 Programs 3 Degree levels

Applied Mathematics & Statistics, and Scientific Computation

Offered at University of Maryland, USA
FieldAMSC
Duration1 year
Tuition56340.00

Overview

The Applied Mathematics & Statistics, and Scientific Computation (AMSC) program at the University of Maryland is designed to train graduate students to use modern computational and statistical methods to solve real problems in science and engineering. You will complete a structured set of core courses in computation and statistics, then apply your skills to a focused problem in a chosen application area.AMSC emphasizes computational practice and data-driven thinking, with coursework that supports work across disciplines such as physical sciences, life sciences, engineering, business, and social sciences.

About this programme

Overview

The Applied Mathematics & Statistics, and Scientific Computation (AMSC) program at the University of Maryland equips graduate students with the skills to leverage modern computational and statistical techniques to address complex challenges in various fields, including science and engineering. The curriculum consists of a series of core courses in computation and statistics, allowing students to apply their knowledge to focused problems within their chosen areas of interest.

With a strong emphasis on computational practice and data-driven approaches, the AMSC program encourages interdisciplinary collaboration, making it relevant to disciplines such as the physical sciences, life sciences, engineering, business, and social sciences.

What you'll study

The AMSC program offers a well-structured curriculum that integrates core courses in computational methods and quantitative analysis with specialized coursework tailored to specific application areas. Students will engage in foundational courses before deepening their expertise through electives and practical projects.

  • Core coursework may include:
    • Mathematical Modeling
    • Dynamics and Chaos
    • Computational Methods
    • Numerical Analysis
    • Advanced Numerical Optimization
    • Scientific Computing
  • Application-area requirement: Complete a minimum of six credits in a relevant application area, such as a scientific or engineering discipline aligned with your interests.
  • Applied focus: Utilize computational and statistical training to tackle real-world problems in specific scientific fields.

Note: The exact sequence of courses and elective options may vary depending on the cohort and academic advising. It’s advisable to confirm the current degree plan with the department.

Entry requirements

  • Academic background: A bachelor's degree in mathematics, statistics, engineering, computer science, or a closely related field.
  • GRE: Submission of GRE General Test scores is required.
  • English proficiency (for international applicants):
    • TOEFL iBT: Minimum score of 96
    • IELTS: Minimum score of 7.0
    • PTE Academic: Minimum score of 68
  • Statement of Purpose
  • Transcripts
  • Letters of Recommendation: A minimum of 3 is required.
  • CV/Resume
  • Publications/Presentations: Include if applicable.
  • GRE Subject test: Strongly recommended, although specific requirements may vary by department. Follow the latest guidance during the application process.

Tip: As AMSC is an interdisciplinary program, admissions typically look for evidence of quantitative skills and a keen interest in applying computation and statistics to solve real scientific issues.

Career prospects

Graduates of the AMSC program are well-prepared for a variety of careers in sectors such as academia, industry, and government. The skills acquired through this program enable graduates to pursue roles in data analysis, scientific research, engineering, finance, and technology, among others. The interdisciplinary nature of the program enhances employability, allowing graduates to adapt to diverse professional environments and contribute effectively to their fields.

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Programme details are indicative and may change — always verify current information with the official university website before applying.