The oldest and most prestigious university in the United States of America, Harvard University is a private Ivy League research university established in 1636. With an overall acceptance rate of 4%, Harvard University is a dream college due to its world-class pedagogy, exceptional mentors, state-of-the-art infrastructure and amenities, and distinguished alum base. Among the data science graduate programs offered across the USA, the master of science in data science at Harvard University is one of their top programs.
This Data Science Masters Degree attracts exemplary students who wish to pursue a career in this field. The Harvard University Data Science program ranking is #1 by Global (QS 2023) This article guides aspirants about how to apply for the Harvard Data Science program, the requirements for applying to this data science graduate degree, and much more.
The Master of Science in Data Science program is jointly offered by the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), the Harvard Faculty of Arts and Sciences (FAS), and the Harvard Graduate School of Education (HGSE). Hence, the Harvard University Master of Science in Data Science admission requirements are a notch above those of other universities. While no specific academic criteria need to be fulfilled, the Harvard University Admissions requirement is:
The online application requires the submission of the following documents:
The curriculum at Harvard University is based on eleven learning outcomes, ensuring that each student’s plan of study prepares them for the real world. Based on this requirement, the data science classes at Harvard University are classified into core, research, and electives.
The data science research opportunities at Harvard are included within the curriculum with the following two courses:
Following are some of the electives students can choose from
The detailed breakdown of the course curriculum can be viewed here on Harvard University’s website under “Data Science Courses.” Further, the MSDS program’s faculty comprises world-renowned researchers and practitioners in data science and related fields. Faculty members come from various departments and schools at Harvard, including SEAS, FAS, and HGSE, honing the students’ skills.
The Data Science Masters Degree at Harvard University does not offer rolling applications.
There is a single application deadline, which is December 1 every year. The other important dates for the Data Science Masters Program are mentioned below:
| Due date for | Start Date | End Date |
| Application Deadline: Spring 2023 Intake | Mar 15, 2023, | Apr 15, 2023, |
| Financial Aid Application: Summer | – | Jun 1, 2023 |
| Application Deadline: Summer 2023 Intake | Jul 1, 2023, | Aug 1, 2023, |
While the Data Science Masters Degree at SEAS is a full-time, on-campus course, there is also a hybrid learning alternative. The Harvard University Master of Science in Data Science online options are offered by the Harvard Extension School, which offers online and on-campus study options. Students enrolled in this course must visit the campus for three weeks for their pre-capstone project to get off to a strong start. They can then close the course with an online capstone project.
Unlike the other courses offered at Harvard University, the Data Science Masters Degree has a different fee structure. For the first year, students need to pay $59,968; in the second year, for a single term, students must pay $29,984 as tuition fees.
The other living expenses are estimated below:
| Facility | Charges |
| Books and Supplies | $900 |
| Apartment housing including utilities | 17,750 |
| Dormitory Housing | 7,892–12,392 |
| Meal Plan for Dormitory Residents | 2,669 |
| Food | 6,700 |
| Miscellaneous | 6,910 |
Aspirants can visit the Tuition and Fees page to learn more about the estimated expenses.
Harvard graduates enjoy strong and lucrative job prospects after the completion of their degree.
The two-year course equips graduates with the skills and knowledge needed to work in various industries, including finance, healthcare, technology, and government.
Some of the standard job titles that graduate with a Harvard data science degree may pursue include:
These roles typically involve using data to solve complex problems, identify trends, and make informed business decisions. The job prospects for graduates with a Harvard data science degree are up-and-coming, given the high demand for skilled data professionals across various industries.
To conclude, the Harvard MSDS program prepares students for careers in the rapidly growing field of data science. The degree is such that students learn to apply their knowledge to real-world problems and present their findings to industry professionals. Getting into Harvard University requires intensive preparation right from day one.
ALLEN Career Institute takes pride in delivering quality education and equipping students with the necessary skills and knowledge to succeed in their chosen careers. With 34 years of experience, we have built a strong reputation for excellence.
ALLEN Global Studies Division, a division of ALLEN Career Institute, is committed to helping students fulfil their aspirations of studying abroad. Our team of experts assists students in identifying the best universities and programs and guides them through the application and admission process.
At ALLEN Global Studies Division, we recognize the importance of providing our students with guidance and support throughout the application process for top-tier universities such as Harvard. For admission to Harvard’s Master of Science in Data Science program, prospective students must have a strong academic background and relevant work experience. Additionally, applicants are required to submit GRE and GMAT scores, transcripts, letters of recommendation, and a statement of purpose.
Our experienced team works closely with students to ensure they meet these requirements and have the best chance of securing admission to this highly competitive program.
The School of Engineering and Applied Sciences at Harvard University offers a two-year master's degree programmed in data science (SEAS).
The student-to-faculty ratio is 16:1, ensuring classes are personalized and cater to the needs of the students
The following are some of the scholarships available: 1st Formations Business Scholarship FINCAD Women in Finance Scholarship The Kay-Grant Group Scholarship FormSwift Scholarship Program
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