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QS Rank:

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344

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Tufts University

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Massachusetts

United States

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Program Rank

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201

The Master of Science in Data Analytics program at Tufts University is designed to equip students with the robust analytical skills and technical expertise required in today's data-driven world. This program stands out as one of the premier choices for those interested in pursuing a career in Data Science and Data Analytics. With an emphasis on practical learning and a strong theoretical foundation, students will engage in a curriculum that not only focuses on current analytics techniques but also prepares them to tackle the complex challenges of the industry. The program spans over a duration of 24 months, allowing students to deeply immerse themselves in various aspects of data analytics while gaining hands-on experience. Students enrolled in this program will benefit from a rich curriculum that includes specialized courses such as Statistical Methods for Data Analysis, Machine Learning, Data Visualization, and Big Data Technologies. Each course is crafted to develop a comprehensive understanding of the tools and methodologies essential for effective data analysis. The program also integrates real-world projects and case studies that enable students to apply their knowledge practically, thus enhancing their employability upon graduation. Additionally, students will engage in a capstone project, providing a unique opportunity to conduct extensive research and contribute to the field of data analytics. The faculty at Tufts University comprises seasoned professionals and academic experts who are leaders in the field of data analytics. Their teaching methodology emphasizes a hands-on approach that encourages students to think critically and innovate. Faculty members are not only involved in teaching but are also active researchers, often inviting students to collaborate on research projects that explore cutting-edge topics in data science. This access to experienced mentors and industry practitioners allows students to gain insights that extend beyond the classroom, preparing them for a successful career in analytics. Moreover, Tufts University provides students with numerous research opportunities and resources. Students can utilize state-of-the-art laboratories equipped with advanced technologies to conduct experiments and analyze data. The university fosters a collaborative research environment and encourages interdisciplinary projects, allowing students to work alongside peers from different fields. This exposure to diverse perspectives enhances the learning experience and prepares students for the multifaceted nature of data analytics work in industry. A significant advantage of the Master of Science in Data Analytics at Tufts University is its strong connection to the industry. The program features extensive networking opportunities, guest lectures by industry leaders, and partnerships with various organizations. This connection not only facilitates internships but also offers students pathways to career success. The university’s career services work diligently to connect students with employers, and the program boasts a remarkable job placement rate of 90%. Graduates have successfully secured positions as Data Scientists, Data Engineers, Data Analysts, and in other specialized roles across various sectors.

In addition to a robust curriculum and expert faculty, Tufts has a track record of successful alumni who have made significant contributions to the field of data analytics. Many graduates have shared testimonials about their transformative experience at Tufts, highlighting how the program prepared them for their careers. Alumni have gone on to work for Fortune 500 companies, start-ups, government agencies, and non-profit organizations, demonstrating the program's effectiveness in cultivating skilled professionals. Their success stories serve as a testament to the quality of education and the strong networking opportunities provided by the university.

Why Study Data Analytics at Tufts University:

  • Diverse Community: A popular choice for international students, fostering a rich cultural exchange.
  • Expert Faculty: Learn from distinguished faculty members who are leaders in data analytics and serve as mentors and research advisors.
  • State-of-the-Art Facilities: Access to advanced laboratories and research resources that enhance the learning experience.
  • Strong Industry Connections: Benefit from extensive networking opportunities, internships, and job placement programs that facilitate successful career transitions.
  • High Employability Rate: Graduates enjoy a 90% job placement rate, with attractive starting salaries averaging $74,430.

As prospective students consider applying for the Master of Science in Data Analytics at Tufts University, it is essential to be aware of the requirements and prerequisites for admission. The application process includes submission of a completed application form, an application fee of $85, transcripts from previous academic institutions, a personal statement, a resume, and letters of recommendation. International students are required to demonstrate proficiency in English through standardized tests such as the TOEFL or IELTS. A minimum TOEFL score of 90 or an IELTS score of 6.5 is required. Additionally, the GRE is also a requirement, with a minimum score of 321 recommended for a competitive application.

Overall, the Master of Science in Data Analytics program at Tufts University not only provides a high-quality education but also supports students in their journey to becoming proficient data analysts. With a blend of academic rigor, practical experience, and industry engagement, this program stands as an exceptional opportunity for those looking to excel in the field of data analytics. Whether you aim to innovate in your career or contribute to significant advancements in the industry, the comprehensive training and support available at Tufts will empower you to achieve your goals.

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Total Tuition Fees

$57,698

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Duration

24 Months

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Median Salary

$74,430

Ranking

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#32

US World and News Report

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#151

The World University Rankings

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#344

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

20

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Average Age

28

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Average Work Experience

2 Years

Diversity

International:

10%

Others:

7%

Asian:

26%

Black or African American:

8%

White:

49%

Hispanic or Latino:

10%

Career Outcomes

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Median Earnings After Graduation

$74,430 / year

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Graduation Rate

94%

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Job Placement

90%

Prospective Job Roles

Data Engineer

Data Engineering Manager

Data Entry Clerk

Data Security Specialist

Data Scientist

Spatial Data Analyst

Data analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    90

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Standardised Test Score

  • GRE

    321

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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

  • intake

    Transcript

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    Passport

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    Resume

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    TOEFL

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    IELTS

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    Personal Statement

    260

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    General LOR

Application Deadlines

Standard Deadline
FallApr 15, 2025

Fees and Funding

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Tuition Fees

$28,849 / year

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Overall Cost

$77,698 / year

Funding Options

Department Funding

Scholarships

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    Tufts University School of Engineering

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    Tufts University Scholarship

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    Tufts University Dean's Scholarship

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    Tufts University Presidential Scholarship

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    The Tufts University Graduate School of Engineering

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    The Tufts University Alumni Association

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    Tufts University Diversity Scholarship

FAQs

  • Admissions Requirements:

    To apply for the Master of Science in Data Analytics program at Tufts University, prospective students must fulfill the following requirements:

    1. Complete an application form.
    2. Pay an application fee of $85.
    3. Submit transcripts from previous academic institutions.
    4. Provide a personal statement.
    5. Include a resume.
    6. Obtain letters of recommendation.
    7. If an international student, demonstrate proficiency in English through standardized tests such as the TOEFL or IELTS. A minimum TOEFL score of 90 or an IELTS score of 6.5 is required.
    8. Submit GRE scores, with a minimum recommended score of 321 for a competitive application.
  • Program Structure:

    The Master of Science in Data Analytics program spans a duration of 24 months. It is designed to provide students with a comprehensive understanding of various aspects of data analytics, combining theoretical foundations with practical learning experiences. The curriculum includes specialized courses such as:

    • Statistical Methods for Data Analysis
    • Machine Learning
    • Data Visualization
    • Big Data Technologies

    Additionally, students engage in real-world projects, case studies, and a capstone project, which allows them to apply their knowledge and conduct extensive research in the field.

  • Teaching Methods:

    The faculty at Tufts University employs a hands-on teaching methodology that encourages students to think critically and innovate. The faculty members are seasoned professionals and academic experts who not only teach but also engage in active research, inviting students to collaborate on research projects. This approach provides students with practical insights and a deeper understanding of current trends and challenges in data analytics.

  • Career Prospects:

    Graduates of the Master of Science in Data Analytics program at Tufts University have a strong likelihood of securing employment in various sectors due to the program's excellent job placement rate of 90%. Alumni have successfully obtained positions as:

    • Data Scientists
    • Data Engineers
    • Data Analysts

    They have found opportunities in Fortune 500 companies, startups, government agencies, and non-profit organizations, showcasing the program's effectiveness in preparing skilled professionals for the industry.

  • Unique Aspects of the Program:

    The Master of Science in Data Analytics at Tufts University offers several unique advantages, including:

    • Diverse Community: A welcoming environment for international students, fostering rich cultural exchanges.
    • Expert Faculty: Access to distinguished faculty members who are leaders in data analytics and serve as mentors.
    • State-of-the-Art Facilities: Advanced laboratories and research resources that enhance the learning experience.
    • Strong Industry Connections: Extensive networking opportunities, internships, and partnerships with organizations that facilitate career transitions.
    • High Employability Rate: Graduates enjoy a 90% job placement rate with attractive starting salaries averaging $74,430.

  • Research Opportunities:

    Students in the Master of Science in Data Analytics program at Tufts University have access to numerous research opportunities. They can utilize state-of-the-art laboratories equipped with advanced technologies for conducting experiments and analyzing data. The university fosters a collaborative research environment, encouraging interdisciplinary projects that allow students to work alongside peers from different fields, thus enriching their learning experience.

  • Networking and Job Placement:

    The Master of Science in Data Analytics program emphasizes strong industry connections, which facilitate networking opportunities for students. Key features include:

    • Guest lectures by industry leaders.
    • Partnerships with various organizations that provide internship opportunities.
    • A dedicated career services team that actively works to connect students with potential employers.

    This comprehensive support structure significantly enhances students' pathways to career success.

  • Employers of Graduates:

    Graduates of the Master of Science in Data Analytics program at Tufts University have been successfully employed across a variety of sectors. They commonly secure positions in:

    • Fortune 500 companies
    • Startups
    • Government agencies
    • Non-profit organizations

    This diverse range of employment options highlights the program's effectiveness in preparing students for the competitive job market.

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