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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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1

The Master's in Data Science program at Harvard University stands as a beacon of excellence in the academic landscape, designed for the next generation of data professionals. With the explosion of data across industries, the need for skilled data scientists has never been more pressing. This program equips students with a robust foundation in both theoretical and practical aspects of data science, ensuring that graduates are well-prepared for the challenges of a rapidly evolving technological environment. The curriculum integrates core elements of data analysis, machine learning, and statistical modeling, offering a comprehensive view that enables students to turn raw data into actionable insights.

Over the span of 18 months, students immerse themselves in a rigorous curriculum that includes essential courses such as Applied Statistics, Database Systems, and Practical Machine Learning. Each course is designed to build critical skills that are applicable to real-world problems. The program also emphasizes hands-on learning through projects, enabling students to apply theoretical concepts in practical settings. Faculty members, who are experts in the field, utilize innovative teaching methodologies that blend lectures, case studies, and collaborative projects, fostering an environment of active learning and teamwork.

In addition to a strong academic framework, the program offers unique research opportunities that allow students to delve deeper into specialized areas of data science. Students have access to state-of-the-art resources and cutting-edge technologies, ensuring they remain at the forefront of innovation. Collaborative research projects with industry partners further enhance the learning experience, providing students with exposure to real-world challenges and solutions. This blend of theory and practice not only enriches students’ knowledge but also prepares them for impactful careers in an increasingly data-driven world.

Industry connections play a pivotal role in the success of the Master's in Data Science program. Harvard's extensive network includes partnerships with leading technology firms, financial institutions, and healthcare organizations. These connections provide students with numerous internship possibilities, allowing them to gain invaluable experience and build professional relationships. Internships often lead to full-time positions, as many companies actively recruit from the program's pool of talented graduates. The average base salary of $170,000 demonstrates the strong demand for data science professionals, highlighting the program's effectiveness in launching successful careers.

Graduates of the program are well-prepared to enter various sectors, including technology, finance, healthcare, and academia. They leave with a comprehensive skill set that qualifies them for diverse roles such as Data Scientist, Software Engineer, Business Analyst, and Machine Learning Engineer. The program boasts an impressive graduation rate of 98%, reflecting the quality of instruction and support provided to students. Moreover, alumni have reported remarkable career trajectories and success stories, showcasing the program's ability to propel individuals into meaningful and high-impact roles.

Why Study Master's in Data Science at Harvard University
  • World-class faculty with expertise in cutting-edge data science methodologies.
  • Access to advanced research facilities and collaboration opportunities.
  • Strong industry connections leading to high-quality internship placements.
  • Diverse career pathways in tech, finance, healthcare, and academia.
  • Robust alumni network providing ongoing support and opportunities.
  • A comprehensive curriculum that covers essential data science concepts.
  • A high average base salary for graduates, demonstrating strong employment outcomes.

To gain admission to the Master’s in Data Science program, prospective students must meet certain prerequisites. Candidates are required to submit a Statement of Purpose, a current Resume, and two Academic Letters of Recommendation. International applicants must demonstrate English proficiency, with minimum required scores of 80 on the TOEFL or 6.5 on the IELTS. Although GRE and GMAT scores are not mandatory, they can strengthen an application. The application fee is set at $85, and the final deadline for submissions is December 1st, 2025.

In conclusion, pursuing a Master’s in Data Science at Harvard University opens a multitude of doors for students, offering them the skills, experience, and connections needed to thrive in a competitive job market. With a focus on both academic rigor and practical experience, graduates emerge as leaders in the field of data science, ready to tackle the challenges of tomorrow.

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Total Tuition Fees

$99,000

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Duration

18 Months

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Median Salary

$1,30,000

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

100

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Average Age

25

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Average Work Experience

3 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

$1,30,000 / year

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Graduation Rate

98%

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Engineer

Teacher

Entrepreneur

Professor

Executive

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Journalist

Researcher

Writer

Consultant

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    80

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  • IELTS

    6.5

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  • PTE

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Standardised Test Score

  • GRE

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  • GMAT

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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: 85

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      Statement of Purpose

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      TOEFL

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      Resume

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      IELTS

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      Academic LOR

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      Academic LOR

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      Passport

    Application Deadlines

    Final Deadline
    FallDec 1, 2025

    Fees and Funding

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    Tuition Fees

    $49,500 / year

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    Overall Cost

    $67,530 / year

    Funding Options

    External Sources - Scholarships

    Department Funding

    To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

    Scholarships

    The Harvard University Data Science Master's program is one of the most competitive in the world. The program is highly selective, and only a small number of students are admitted each year. The program is also very expensive, and the cost of tuition and fees can be a significant barrier to entry for many students. However, there are a number of scholarships available to help students cover the cost of the program. Some of the best scholarship providers for Harvard University's Data Science Master's program include the National Science Foundation, the Alfred P. Sloan Foundation, and the John D. and Catherine T. MacArthur Foundation.

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      Harvard University Graduate School of Arts and Sciences Merit Scholarships

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      Alfred P. Sloan Foundation

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      John D. and Catherine T. MacArthur Foundation

    FAQs

    • A student can complete Data Science at Harvard University with in 18.
    • The deadline to submit an admission application for Data Science at Harvard University is Application deadline Fall (Final Deadline) - date - 01/12/2023
    • The application fee to pursue Data Science at Harvard University is USD 105 for international students.
    • The annual tuition fee to pursue Data Science at Harvard University is USD 59968.
    • The Data Science at Harvard University has 3 semesters.
    • The submission of these scores mainly depends on the type of degree/ course selected at the Harvard University. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Harvard University requirements before submitting a score.
    • Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
    • If a student fulfils all the eligibility criteria and admission requirements of Harvard University, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
    • An MS degree at Harvard University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Harvard University website to check the course/ degree duration.
    • One can apply for scholarships to pursue their international education at Harvard University by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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