The Applied Mathematics program at Harvard offers a rigorous exploration of mathematical principles and their application across various scientific and engineering fields. Students will engage with core concepts in areas such as computing, linear algebra, multivariate calculus, and statistical inference. The curriculum is designed to build a strong foundation in problem-solving through both theoretical understanding and practical implementation using computational tools like Python. This program is ideal for students seeking to bridge the gap between abstract mathematical theory and real-world challenges.
The curriculum provides a systematic introduction to computational methods and mathematical modeling, drawing examples from diverse disciplines. Students will learn essential computing skills, including programming with Python and utilizing visualization tools. The program also covers foundational topics in linear algebra and multivariate calculus, focusing on their application to solving systems of equations and optimization problems. Advanced students can engage in supervised reading and research or thesis work.
Graduates of Applied Mathematics programs are well-prepared for a wide range of careers in fields that require strong analytical and quantitative skills.
Payment is due by the published deadline. Late payments may result in course drop. Payment must be made to Harvard Summer School.
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The program explores mathematical principles and their applications in science and engineering, covering computing, linear algebra, multivariate calculus, and statistical inference. Students will learn Python programming and computational tools.
Graduates are prepared for roles such as Data Scientist, Quantitative Analyst, Software Engineer, Operations Research Analyst, Actuary, and Researcher.
Refer to Harvard Summer School for specific tuition and fee details. Payment options include e-checks, credit/debit cards, and international wire transfers.
The curriculum includes introductory courses in computing with Python, solving and optimizing, and statistical inference. Advanced students can undertake supervised reading, research, or thesis work.
For general program admissions, please refer to the official Harvard University admissions portal. The provided application details are for the Nieman Fellowship.