Master of Science in Computational Science and Engineering

The Master of Science in Computational Science and Engineering at Harvard University is a rigorous interdisciplinary program designed to equip students with advanced skills in computational modeling, algorithm development, and data analysis. This program prepares graduates to address complex scientific and engineering problems through the innovative application of computational techniques. Students will engage with a comprehensive curriculum that integrates computer science, applied mathematics, and domain-specific knowledge, fostering a deep understanding of how to develop scalable computational solutions for real-world challenges across various fields such as physics, biology, finance, and engineering.

The program emphasizes hands-on practical experience, encouraging students to work on research projects and collaborate with faculty who are leaders in their respective areas. Through coursework, students learn about high-performance computing, scientific visualization, machine learning, numerical methods, and data-driven modeling. The program also offers opportunities for specialization in areas like computational biology, environmental modeling, or financial analytics, allowing students to tailor their education according to their career goals.

Designed for students with a strong quantitative background, the MSc in Computational Science and Engineering at Harvard aims to cultivate innovative problem solvers capable of leveraging computational tools to generate new knowledge and drive technological advancements. Graduates of the program are well-prepared for careers in academia, industry, or government research, where they can contribute to developing next-generation computational solutions and algorithms. The program's interdisciplinary nature and strong ties with leading research labs and industry partners ensure students receive a cutting-edge education that meets the evolving demands of the modern computational landscape.

The Computational Science and Engineering (CSE) program at Harvard University offers a rigorous and interdisciplinary curriculum designed to equip students with the essential skills needed to address complex scientific and engineering problems through computational methods. This program provides a comprehensive education that integrates applied mathematics, computer science, and domain-specific knowledge to prepare graduates for innovative research, industry roles, and academic careers.

Students in the CSE program engage in advanced coursework covering numerical analysis, algorithms, data structures, scientific computing, and high-performance computing. The program emphasizes not only theoretical understanding but also practical application, encouraging students to develop efficient algorithms and software solutions for large-scale simulations, data analysis, and modeling across various scientific disciplines—including physics, biology, and engineering.

Throughout their studies, students participate in collaborative projects and research initiatives that simulate real-world challenges, fostering teamwork and inter-disciplinary communication. The curriculum includes core courses in programming, mathematical modeling, and computational methods, complemented by electives tailored to students’ specific interests or research goals. This structure ensures that graduates possess a versatile skill set that enables them to design, implement, and evaluate computational solutions with precision and efficiency.

Harvard’s CSE program also emphasizes innovation, encouraging students to explore emerging technologies such as machine learning, artificial intelligence, and data science, and to apply these tools in scientific discovery and engineering design. Students benefit from access to state-of-the-art laboratories, computational resources, and mentorship from faculty who are leaders in their fields.

The program aims to produce graduates who are not only proficient in computational techniques but also capable of critical thinking, problem-solving, and effective communication of complex ideas. With its interdisciplinary approach and strong emphasis on practical experience, Harvard’s Computational Science and Engineering program prepares students to lead advancements in science, technology, and industry, ultimately contributing to solving some of the most pressing challenges in the modern world.

Program Requirements for Computational Science and Engineering at Harvard University:

Students pursuing the Computational Science and Engineering (CSE) program at Harvard University are required to complete a comprehensive curriculum that integrates foundational knowledge in computer science, applied mathematics, and domain-specific sciences. The program emphasizes both theoretical understanding and practical application of computational methods to solve complex scientific and engineering problems. Core coursework includes programming languages such as Python and C++, numerical methods, algorithms, data structures, and high-performance computing techniques. Students must also engage in advanced courses covering topics like statistical modeling, data analysis, machine learning, and scientific visualization.

In addition to coursework, students are expected to participate in research projects or internships that provide hands-on experience in computational research and industry settings. The program mandates maintaining a certain GPA to ensure academic proficiency and passing comprehensive examinations that test knowledge across multiple disciplines. As part of their graduation requirements, students must complete a capstone project or thesis, demonstrating the ability to develop computational models or simulations relevant to their area of specialization.

Elective courses allow students to explore interdisciplinary applications in fields such as bioinformatics, materials science, climate modeling, or robotics, aligning with Harvard’s interdisciplinary approach. Active engagement in seminars, workshops, and collaborative projects is encouraged to foster teamwork and communication skills essential for scientific careers. The program also promotes ethical considerations in computational research and emphasizes the importance of reproducibility and transparency.

International students must meet visa and language proficiency requirements, and all students are encouraged to participate in professional development activities including conferences, publishing research, and networking with industry professionals. By fulfilling these requirements, students are prepared to pursue careers in academia, research institutions, or technology sectors, or to continue their studies in graduate programs.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The Computational Science and Engineering program at Harvard University offers a range of financing options to support students throughout their studies. Harvard provides numerous scholarships, fellowships, and assistantship opportunities to help reduce the financial burden for qualified students. Merit-based scholarships are awarded based on academic excellence, research potential, and leadership qualities, and they do not require repayment. Need-based financial aid is also available, ensuring that talented students from diverse economic backgrounds can access the program. Applicants are encouraged to complete the Free Application for Federal Student Aid (FAFSA) and the Harvard Financial Aid application to be considered for available aid packages. Additionally, many students secure funding through Harvard’s Teaching and Research Assistantships, which offer stipends and tuition remission in exchange for research or teaching responsibilities. External funding sources, such as national research grants and private foundations, can also be utilized by students in partnership with Harvard faculty to support their research projects. The university’s Office of Student Financial Services provides comprehensive guidance on scholarship opportunities, application procedures, and financial planning to help students navigate their options effectively. Harvard’s commitment to affordability ensures that financial concerns do not prevent talented individuals from pursuing advanced studies in Computational Science and Engineering. Overall, the program’s financing options underscore Harvard’s dedication to providing accessible, high-quality education to a diverse student body through a combination of internal aid, external funding, and work opportunities.

Computational Science and Engineering (CSE) at Harvard University is an interdisciplinary program that integrates advanced computational techniques with scientific and engineering principles to solve complex real-world problems. The program is designed to prepare students for careers that require a strong foundation in computer science, applied mathematics, and domain-specific knowledge, enabling them to develop innovative solutions across a broad range of disciplines, including physics, biology, engineering, and the social sciences.

The curriculum emphasizes a blend of theoretical knowledge and practical skills, with coursework covering topics such as numerical analysis, algorithms, high-performance computing, data analysis, machine learning, and simulations. Students have opportunities to engage in research projects, often collaborating with faculty members who are leading experts in their fields. This research-oriented approach enhances critical thinking, technical proficiency, and the ability to translate computational methods into actionable insights.

Harvard’s CSE program also offers specialized tracks and electives allowing students to tailor their education according to their interests, such as scientific computing, data science, or systems modeling. The program encourages interdisciplinarity, supporting collaborations across different departments and research centers on campus. This integration fosters a dynamic learning environment where innovative ideas can flourish.

Students benefit from access to state-of-the-art laboratories, computational resources, and a vibrant academic community. Opportunities for internships, industry partnerships, and participation in cutting-edge research initiatives further enhance the educational experience, preparing graduates for competitive roles in academia, industry, and government agencies. The program aims to produce graduates who are not only skilled technical practitioners but also effective communicators and leaders capable of addressing some of the most pressing scientific and engineering challenges through computational methods.

Overall, Harvard’s Computational Science and Engineering program is committed to advancing knowledge and technology at the intersection of computation and science, fostering lifelong learning, and promoting scientific discovery driven by computational innovation.