Applied Mathematics and Statistics
The Applied Mathematics and Statistics program at Johns Hopkins University combines strong mathematical theory with practical applications across a wide range of disciplines. Students explore how quantitative methods can solve real-world problems in areas such as data science, public health, engineering, and finance. This program is ideal for those who want to understand the foundational logic of mathematics while applying that knowledge to analyze systems, interpret data, and inform decision-making. The Bachelor of Arts track allows greater flexibility for interdisciplinary study, enabling students to tailor their academic path to match individual goals.
The curriculum emphasizes mathematical modeling, probability, statistical inference, and computational methods. Students gain hands-on experience using modern tools and programming languages, preparing them for roles that require both analytical and technical skills. The department also fosters collaboration across departments, allowing students to apply mathematics in biology, economics, computer science, or social sciences. With access to faculty engaged in cutting-edge research, students are encouraged to take part in undergraduate research projects and internships that connect academic learning to practical impact.
Key information
Key Facts
- Program Title: Applied Mathematics and Statistics
- Degree Type: Bachelor of Arts
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 02 January 2026
- Location: Johns Hopkins University, United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Mathematical Foundations
- Calculus I & II
- Introduction to Programming (Python or MATLAB)
- Linear Algebra
- Writing and Critical Thinking
Year 2 – Core Principles in Applied Mathematics
- Multivariable Calculus
- Probability and Statistics
- Introduction to Differential Equations
- Discrete Mathematics
Year 3 – Data and Modeling Techniques
- Mathematical Modeling
- Statistical Inference
- Optimization Methods
- Elective: Machine Learning or Econometrics
Year 4 – Advanced Topics and Capstone
- Advanced Applied Statistics or Time Series Analysis
- Seminar in Applied Mathematics
- Senior Research Project or Internship
- Electives: Stochastic Processes, Computational Methods, or Game Theory
Career Opportunities
Graduates from this program are equipped to work in fields where quantitative analysis and data interpretation are essential. Alumni often pursue careers in data analytics, financial services, public policy, and biostatistics, applying their skills to complex and high-impact challenges. Opportunities also exist in tech companies, consulting firms, and government research institutions. Many graduates go on to advanced study in fields such as applied mathematics, computer science, economics, or public health. Their ability to think logically, model systems, and extract insight from data makes them valuable assets in today’s data-driven economy.
Why Choose This Program
This program is ideal for students who want to apply mathematics in practical, interdisciplinary contexts while developing a strong analytical foundation. At Johns Hopkins University, students benefit from expert faculty, access to real-world research projects, and a curriculum that encourages both mathematical depth and intellectual flexibility. The Bachelor of Arts format allows for broader academic exploration, making it well-suited for students interested in combining math with fields like economics, biology, or social sciences. With a focus on critical thinking, collaboration, and applied problem-solving, the program prepares students to thrive in a wide range of innovative and quantitative careers.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 410 516 8000
Email: admissions@jhu.edu
Address: Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
