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QS Rank:

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108

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Boston University

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Massachusetts

United States

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Program Rank

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8

The Master of Science in Data Science at Boston University is a dynamic and cutting-edge program designed to equip students with the essential skills and expertise required to excel in the rapidly evolving field of data science. As part of the esteemed Faculty of Computing & Data Sciences, this program offers a rigorous curriculum that integrates theoretical knowledge with practical application, ensuring students graduate as highly competent professionals ready to tackle real-world challenges. With a focus on advanced data analysis, machine learning, and statistical modeling, students will dive deep into the vast landscape of data science, preparing them for diverse careers in a variety of sectors.

The program spans a duration of nine months, providing an intense yet comprehensive educational experience. Throughout their studies, students engage with a series of specialized courses, including but not limited to Data Mining, Machine Learning, Big Data Technologies, and Data Visualization. These courses are tailored to enhance critical thinking, problem-solving skills, and technical proficiency, enabling graduates to make data-driven decisions effectively. Moreover, the curriculum is continually updated to reflect the latest industry trends, ensuring students are well-prepared for the job market upon graduation.

One of the distinguishing features of this program is the opportunity for hands-on learning through experiential projects and collaboration with industry partners. Students will have the chance to work on real-life data science problems, gaining invaluable experience that enhances their understanding of the complexities of data in a business context. Additionally, the program emphasizes the development of soft skills such as communication and teamwork, which are essential for success in collaborative environments.

At Boston University, students will benefit from the guidance of a world-class faculty comprised of leading experts in the field of data science. Faculty members bring a wealth of academic and industry experience, engaging students through innovative teaching methodologies that foster an interactive and inclusive learning environment. The faculty's commitment to mentorship ensures that students receive personalized support throughout their educational journey, helping them navigate the challenges of graduate studies and prepare for future careers.

The program also offers extensive research opportunities and access to state-of-the-art resources. Boston University is home to numerous research centers focused on data science and analytics, allowing students to participate in groundbreaking projects. These research initiatives not only contribute to academic knowledge but also enhance students' resumes, making them more competitive in the job market. Moreover, students are encouraged to publish their findings in academic journals, providing them with a platform to showcase their research expertise.

Networking is an integral part of the Boston University experience. The program maintains strong connections with industry partners, facilitating numerous internship opportunities for students. These internships offer hands-on experience and the chance to apply classroom knowledge to real-world situations, significantly enhancing employability upon graduation. Graduates of the program are well-equipped for roles such as Data Scientists, Data Engineers, Business Analysts, and Machine Learning Engineers, with a median base salary of approximately $108,000.

Why Study Master of Science in Data Science at Boston University?

  • Comprehensive Curriculum: Engage in a curriculum that encompasses essential data science disciplines, ensuring a well-rounded education.
  • Expert Faculty: Learn from industry leaders and researchers who provide mentorship and foster academic growth.
  • Research Opportunities: Participate in cutting-edge research projects at renowned centers dedicated to data science.
  • Industry Connections: Benefit from a robust network of partnerships that facilitate internships and job placements.
  • Career Preparation: Access career development resources to prepare for a successful transition into the workforce.
  • Strong Alumni Network: Join a community of successful alumni who offer guidance and connections in the data science field.

To be eligible for the Master of Science in Data Science, applicants must have a strong academic background, typically holding a bachelor’s degree in a related field. Prospective students are required to submit a personal statement, a comprehensive curriculum vitae, and two letters of recommendation. Additionally, non-native English speakers must demonstrate proficiency through standardized tests such as IELTS, TOEFL, or Duolingo, with specified minimum scores. The priority application deadline for the upcoming academic year is February 1st, while the final deadline is April 1st, 2024.

In conclusion, the Master of Science in Data Science at Boston University stands out as an exceptional program that prepares students for success in a competitive field. With a curriculum that balances theory and practice, expert faculty, and abundant research opportunities, students emerge as highly skilled professionals ready to make an impact in the world of data science. Whether aspiring to be a statistician, data analyst, or machine learning engineer, graduates will find a wealth of career pathways and opportunities awaiting them.

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Total Tuition Fees

$67,626

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Duration

9 Months

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Median Salary

$1,10,000

Ranking

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#41

US World and News Report

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#71

The World University Rankings

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#108

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

30

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Average Age

23

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Average Work Experience

2 Years

Diversity

Others:

45%

New England:

25%

Midwest:

15%

South:

10%

West:

5%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

88%

Prospective Job Roles

Statistician

Data Engineer

Software Engineer

Data Scientist

Business Analyst

Data Architect

Data analyst

Machine Learning Engineer

Data Quality Analyst

Healthcare Data Architect

Data Entry Clerk

Spatial Data Scientist

Research Data Analyst

Health Data Analyst

Data Storyteller

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

    7

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  • TOEFL

    90

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  • DUOLINGO

    130

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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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    Transcript

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

Application Deadlines

Priority 1Final Deadline
FallFeb 1, 2024Apr 1, 2024

Fees and Funding

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Tuition Fees

$67,626 / year

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Overall Cost

$86,000 / year

FAQs

  • While it is your choice to decide who to ask to write your letters of recommendation, we suggest recommendations come from an employer or someone you have worked with in a professional setting. Please note that the letter of recommendation is optional for the online MSDS.

  • You can only apply to one CDS program per entry term. For example, you may not apply to both the residential MSDS and the online MSDS for the same entry term.

  • The Admissions Committee conducts a rigorous and holistic review of each application. All aspects of an applicant’s application will be considered, including work experience, undergraduate and graduate coursework and grades, personal statement, optional letter of recommendation, and resume. Typically, admitted candidates will have at least two years of post-undergraduate professional experience.

  • Attend a free webinar or contact the admissions team today to learn more about the program and application process.

  • The admissions committee looks at many factors when reviewing an application, some of which include: A record of academic excellence — so we can be assured that you will thrive in our dynamic learning environment; and evidence of managerial and leadership potential — to indicate the value you will bring to future employers; diversity of thought — to ensure that you will be challenged by people who have different fields of reference within your teams and in the classroom.

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