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QS Rank:

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4

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Harvard University

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Massachusetts

United States

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Program Rank

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17

The Master of Science in Computational Science & Engineering offered by Harvard University is a transformative program that prepares students for groundbreaking advancements in technology and science. This rigorous and comprehensive curriculum delves deep into the methodologies and applications of computational science, equipping students with the necessary tools and knowledge to innovate in various fields. Students will engage with advanced computational techniques, data analysis, and modeling, which are essential for solving complex problems across diverse domains such as artificial intelligence, healthcare, and environmental studies. The program’s curriculum integrates theoretical foundations with practical applications, ensuring that graduates are not only well-versed in theoretical concepts but also adept at applying them in real-world scenarios.
The curriculum encompasses a blend of core courses and electives, allowing students to tailor their education to their specific interests and career goals. Courses such as Machine Learning, Numerical Methods, and High-Performance Computing are meticulously crafted to provide students with both fundamental knowledge and hands-on experience. Additionally, students can explore specialized topics through electives, enabling them to focus on areas such as Computational Biology, Computer Vision, or Data Science. The program is structured to foster critical thinking, creativity, and problem-solving skills, which are vital in today’s rapidly evolving technological landscape.
Harvard’s esteemed faculty members bring a wealth of expertise and real-world experience to the classroom. Their commitment to excellence in teaching is evident in their engaging methodologies that foster an interactive learning environment. Faculty members are not only leading researchers in their fields but also dedicated mentors who guide students through their academic journey. Students have the opportunity to participate in cutting-edge research projects, often alongside faculty, which provides invaluable experience and enhances their understanding of complex scientific and engineering problems. This mentorship fosters lasting relationships and networks that can be instrumental in students’ future careers.
Research opportunities at Harvard are abundant and varied. The university boasts state-of-the-art facilities and laboratories that facilitate innovative research across multiple domains. Students are encouraged to engage in collaborative research initiatives that align with their interests, contributing to ongoing projects within the department or with external industry partners. This hands-on experience not only solidifies their academic knowledge but also cultivates essential skills such as teamwork, communication, and project management, preparing them for successful careers in academia or industry.
Furthermore, Harvard's extensive network within the industry provides students with exceptional internship possibilities and job placements upon graduation. The university has established strong connections with leading organizations in technology, healthcare, and finance, creating pathways for students to gain practical experience and secure employment in highly competitive fields. Graduates of the program have successfully transitioned into roles such as Artificial Intelligence Engineer, Software Engineer, and Computational Biologist, among others, often commanding impressive salaries that reflect their advanced skill sets and the high demand for computational expertise in the job market.
The Master of Science in Computational Science & Engineering at Harvard University is not only an educational program; it is a gateway to a future filled with opportunities and challenges. With an impressive graduation rate and an average starting salary of around $110,000, students are well-prepared to make significant contributions to their chosen fields. The program is designed to be rigorous yet supportive, ensuring that students thrive academically while fostering a collaborative community that enhances their learning experience.
Why Study Computational Science & Engineering at Harvard?

  • Access to a prestigious faculty renowned for their research and industry expertise, offering students unparalleled mentorship opportunities.
  • A diverse and inclusive community that enriches the learning experience and fosters global perspectives in computational science.
  • State-of-the-art facilities and technology that enable cutting-edge research and practical learning experiences.
  • Strong industry partnerships that facilitate internships and job placements, enhancing career prospects for graduates.
  • A comprehensive curriculum that balances theoretical knowledge with practical skills, preparing students for a wide range of career paths.

For prospective students, the requirements to apply for the Master of Science in Computational Science & Engineering include a minimum GPA of 3.0 on a 4.0 scale, reflecting strong academic performance in relevant undergraduate courses. Applicants must have completed at least 16 years of education, including a bachelor's degree in a related field. Additionally, non-native English speakers are required to submit English proficiency test scores, with a minimum IELTS score of 6.5 or a TOEFL score of 80.
The application process requires several components, including a completed transcript, a statement of purpose, a resume, and letters of recommendation from both academic and professional sources. The application fee is $105, and the standard deadline for submissions is December 1st for the fall intake. With such rigorous standards, the program consistently attracts high-caliber candidates, making it a competitive yet rewarding experience for those who gain admission.
Overall, the Master of Science in Computational Science & Engineering at Harvard University stands out as a premier choice for students eager to explore the depths of computational science while preparing for impactful careers in various industries. Its comprehensive approach to education, coupled with world-class faculty and cutting-edge resources, ensures that graduates leave Harvard equipped to meet the challenges of the future head-on.

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Total Tuition Fees

$60,000

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#3

US World and News Report

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#2

The World University Rankings

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#4

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

50

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Average Age

27

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Average Work Experience

2 Years

Diversity

United States:

50%

China:

15%

India:

10%

Canada:

5%

United Kingdom:

4%

Others:

16%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

98%

Prospective Job Roles

Artificial Intelligence Engineer

Computer Architecture Engineer

Software Engineer

Computer Science

Computer Engineer

Health Information Technology Specialist

Computer Science Teacher

Computational Biologist

Computer Numerical Control Programmer

Computational neuroscientist

Computer Scientist

Computer Forensic Analyst

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    80

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 105

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    Transcript

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    Statement of Purpose

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    Resume

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    TOEFL

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    Academic LOR

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    Professional LOR

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    Academic LOR

Application Deadlines

Standard Deadline
FallDec 1, 2024

Fees and Funding

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Tuition Fees

$60,000 / year

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Overall Cost

$75,000 / year

Scholarships

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    Harvard Graduate Society Fellowships

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    Harvard University Graduate School of Arts and Sciences Dean's Fellowships

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    Harvard University Graduate School of Arts and Sciences Merit Scholarships

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    Harvard University Graduate School of Arts and Sciences Need-Based Scholarships

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    The Harvard University Alumni Association

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    The Harvard University Graduate School of Business

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    The Harvard University Graduate School of Arts and Sciences

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    The Harvard University Graduate School of Education

FAQs

  • Graduate students are expected to be full time. Students may petition to change their status to part-time study only in cases with extenuating circumstances, such as health concerns or a serious family emergency.
  • Decisions on deferral requests to our PhD programs are made on a case-by-case basis and only after an admitted student has accepted our offer of admission. We do not grant deferrals for our terminal masters programs except in cases with extenuating circumstances. We do not grant deferrals for our masters programs for reasons related to employment or financing the cost of the program.
  • When requesting official score reports from ETS for the TOEFL, indicate the receiving institution as Harvard University Graduate School of Arts and Sciences, Code 3451. There is no department code; you may leave it blank.
  • The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) does not accept the General GRE scores nor Subject Test GRE scores for applicants to our Ph.D. programs or masters degree programs in Computational Science & Engineering and Data Science. Applicants to these programs should not submit official or unofficial GRE scores to us nor mention them anywhere in their application materials. Either the GRE or GMAT is required for applicants applying to the Master of Design Engineering or the MS/MBA: Engineering Sciences programs. The applications for these programs are available via the Graduate School of Design or Harvard Business School, respectively. Note: this policy was officially changed in August 2020 and is in effect for the Fall 2025 admissions cycle.

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