Eligibility Requirements for Boston University MS in Data Science

About Boston University

Boston University is a leading private research institution located in Boston, Massachusetts, United States. It was founded in 1839 and is internationally recognized as a top institution of higher learning and research, ranked #43 in the nation by U.S. News & World Report. The university has two primary campuses in the heart of Boston and offers a variety of undergraduate, graduate, doctoral, and special degree programs through its 17 schools and colleges. Boston University is among the largest independent universities in the United States, with more than 37,000 students from all 50 states and 145+ countries.

Boston University MS in Data Science Program Description

The Master of Science in Data Science (MSDS) program at Boston University offers a flexible 32-credit curriculum designed for aspiring data science professionals. With a focus on extracting insights from data, designing new information systems, and developing products that impact the economy and public discourse, the program prepares students for both academic and professional careers in the field.

The program can be completed in 12-16 months and offers two concentration options: Core Methods Focused Concentration or Applied Methods Focused Concentration. The curriculum includes core courses and concentration electives covering areas such as Modeling and Predictive Analytics, Data-Centric Computing, Machine Learning and AI, Social Impact, and Security and Privacy. 

Whether pursuing advanced graduate work in academia or managing diverse teams in industry, the MSDS program aims to equip students with the skills needed to become leaders in data science.
 


Program URL:https://www.bu.edu/cds-faculty/programs-admissions/ms-data-science/

Boston University MS in Data Science Program Curriculum

Program Curriculum URL:https://www.bu.edu/cds-faculty/programs-admissions/ms-data-science/msds-curriculum/


Elective Modules Description
Modeling and Predictive Analytics Courses covering topics like Linear Models, Generalized Linear Models, Bayesian Statistics, Time Series and Forecasting, etc.
Data-Centric Computing Courses focusing on algorithmic and programming techniques for data processing and analysis.
Machine Learning and AI Courses delving into supervised, unsupervised, and reinforcement learning methods.
Social Impact Courses addressing ethical considerations, fairness, and bias in data science applications.
Security and Privacy Courses covering cryptography, network security, cybersecurity, and related topics.
Applied Methods Courses Students can choose from a list of approved applied methods courses to deepen their knowledge in specific areas like Public Health, Cybersecurity, etc.

Electives

Elective Modules Description
Modeling and Predictive Analytics Courses covering topics like Linear Models, Generalized Linear Models, Bayesian Statistics, Time Series and Forecasting, etc.
Data-Centric Computing Courses focusing on algorithmic and programming techniques for data processing and analysis.
Machine Learning and AI Courses delving into supervised, unsupervised, and reinforcement learning methods.
Social Impact Courses addressing ethical considerations, fairness, and bias in data science applications.
Security and Privacy Courses covering cryptography, network security, cybersecurity, and related topics.
Applied Methods Courses Students can choose from a list of approved applied methods courses to deepen their knowledge in specific areas like Public Health, Cybersecurity, etc.
Core Modules
Competency Courses
  • A1 Modeling and Predictive Analytics
  • A2 Data-Centric Computing
  • A3 Machine Learning and AI
  • A4 Social Impact
  • A5 Security and Privacy
Additional Courses
  • CDS DS 701: Tools for Data Science (Must be taken in the Fall Semester)
  • Concentration Elective 1
  • Concentration Elective 2

 

Club/Association Description Activities
Data Science Association An undergraduate academic club dedicated to providing students with high-quality data science tools and resources to make an impact in the ever-changing world of big data. Creating opportunities, expanding accessibilities, building communities, and supporting the growth of members in the field of data science.
AWM Student Chapter The BU Student Chapter of the Association for Women in Mathematics, organizing social and professional development events for undergraduates interested in mathematics. Promoting women in the mathematical sciences and fostering connections within the mathematics community.
SIAM Student Chapter Sponsored by the Society for Industrial and Applied Mathematics, this student chapter promotes research within applied mathematics and computational sciences. Facilitating connections academically, professionally, and socially among students interested in applied mathematics.
Undergraduate Women in Science and Engineering (uWISE) An interdisciplinary student-focused group providing a community and support network for individuals interested in STEM fields. Welcoming anyone with an interest in science to join, offering opportunities to make friends, learn more about STEM disciplines, find study buddies, and engage with like-minded individuals.
Math Social Club An undergraduate student academic club where students can socialize, study together, and help each other with math-related questions. Building connections within the math and statistics community at Boston University.

Boston University MS in Data Science Acceptance Rate

The acceptance rate for Boston University's MS in Data Science program stands at 41.50%, reflecting the competitive nature of admissions. This selective program admits students based on their academic achievements, professional background, and potential for success in the field of data science.

Boston University MS in Data Science Fee Structure

Fee Cost
Tuition $31,899
Student Services Fee $200
Health & Wellness Fee $257

Application Documents for Boston University MS in Data Science

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript

  • Semester Marksheets

  • Consolidated Marksheets

  • Graduation/Provisional Certificate

  • IELTS/TOEFL/DTE/PTE


    Program Application URL:https://bu-cds.liaisoncas.com/applicant-ux/#/login

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    Boston University MS in Data Science Employment

    Employment Overview for MS in Data Science at Boston University:

    • Career Readiness: Equips graduates for roles like data analysts, engineers, specialists, and leaders in academia or industry.
    • Industry Demand: Addresses the growing need for skilled data professionals across diverse sectors.
    • Salary Prospects: Offers opportunities for $100K+ positions in fields like data science, finance, and analytics.
    • Networking Support: Provides career counseling and industry connections to facilitate job search and advancement.
    • Comprehensive Foundation: Prepares students to thrive in dynamic data science roles across various industries.

    156,209

    Average Starting Salary

    Boston University MS in Data Science Employment Statistics

    Employment Stats Stats
    Students Seeking Employment 90%
    Completed an Internship 98%
    Mean Base Salary (Overall) USD 134,940
    Mean Base Salary (International) USD 124,586
    Signing Bonus (International) USD 23,468
    Highest number of employment (region-wise) Northeast
    Top employers Amazon, KPMG, Cognizant, Microsoft, Google

    Companies Recruiting Boston University MS in Data Science Graduates

    Some top recruiter of MS in Data Science are as follows - 

    1. Amazon
    2. BuzzFeed
    3. Deloitte
    4. Sanofi
    5. Nike
    6. Apple
    7. Google
    8. Microsoft

    Employment Overview URL: https://www.bu.edu/met/programs/computer-science-it/career-outlook/

    Letter of Recommendation for Boston University MS in Data Science

    A Letter of Recommendation (LOR) is a document written by someone who can provide insight into your academic or professional qualifications, character, and potential for success in a specific program. For admission into Boston University, LORs are important as they offer a third-party perspective on your abilities, helping the admissions committee assess your suitability for the chosen program.

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    Statement of Purpose for Boston University MS in Data Science

    A Statement of Purpose (SOP) is a crucial component of your application for admission into a university. It is a written document that allows you to express your academic and professional background, career goals, and reasons for pursuing a particular program. For the Boston University MS in Data Science, the SOP holds significance as it provides the admissions committee with insights into your motivations, qualifications, and suitability for the program.

    Here are some tips for writing a successful SOP:

    1. Introduction with Purpose:
      Begin with a concise and impactful introduction, clearly stating your purpose for applying to the MSc in Data Science program at the University of Bath.
    2. Academic Background:
      Discuss your academic journey, emphasizing relevant coursework, projects, or research that prepared you for advanced studies in data science.
    3. Professional Experience:
      If applicable, highlight your professional experience, detailing how it aligns with your academic goals and contributes to your suitability for the program.
    4. Research the Program:
      Demonstrate your knowledge of the University of Bath's MSc in Data Science. Specify how the program's features, faculty, and resources align with your career aspirations.
    5. Career Goals:
      Clearly articulate your short-term and long-term career goals related to data science. Explain how the MSc program at the University of Bath will help you achieve these goals.
    6. Connection to the University:
      Explain why you specifically chose the University of Bath for your MSc in Data Science. Mention faculty members, research centers, or unique aspects of the program that attract you.
    7. Unique Contributions:
      Discuss how your unique skills, experiences, or perspectives will contribute to the diversity and vibrancy of the university community.
    8. Language and Style:
      Write clearly, concisely, and engagingly. Avoid unnecessary jargon and use simple language, as you prefer.
    9. Proofread and Revise:
      Thoroughly proofread your SOP to eliminate errors. Consider seeking feedback from professors, colleagues, or mentors to ensure clarity and coherence.
    10. Honesty and Authenticity:
      Be genuine and honest in describing your motivations and aspirations. Avoid exaggeration or providing inaccurate information.

    Scholarships available for International Students

    The average annual cost of study, including tuition fees and living expenses is around USD$35,000 per year. However, this can rise dramatically as your day-to-day living expenses will vary depending on what state or city you live in.Below are some scholarships you can avail to reduce your study abroad expenses drastically.

    1. The Global Study Awards

      The Global Study Awards is a competition for successful IELTS test takers who have shown exceptional promise. You can enter the competition if you plan to use your IELTS results to apply for an undergraduate or postgraduate degree in an English-speaking country.

    2. Gary Saitowitz Scholarship

      Gary Saitowitz founded the Gary Saitowitz Scholarship with the objective of assisting one deserving student in reducing the stress and also the overall financial burden of costly higher education.

    3. Form Swift Scholarships Program

      The scholarship program is for driven, up-and-coming, entrepreneurs who are ready to commit to building a better world through their business ideas.

    What makes Boston University unique?

    Boston University is unique for several reasons:

    1. Rigorous Academics: Offering over 300 programs of study with academic flexibility and the innovative BU Hub general education program.
       
    2. Global Recognition: It is part of the prestigious Association of American Universities and ranks highly among national and global universities.

    3. Research Opportunities: Commitment to research with extensive opportunities through programs like the Undergraduate Research Opportunities Program (UROP).

    4. Real-World Experience: Located in Boston, providing access to a wealth of internship opportunities and a unique urban campus setting.

    5. Diversity and Inclusivity: The university is known for its diverse campus community, which welcomes students from various backgrounds and interests.

    Boston University MS in Data Science Contact Information

    Whom should I contact in case of any doubts?

    Phone: 617-353-2300
    Mail id: admissions@bu.edu

    Conclusion: Should you apply to Boston University MS in Data Science?

    In summary, the Boston University MS in Data Science program offers a comprehensive education in data science, with a focus on both theoretical and practical aspects of the field, as well as an emphasis on the social impacts of data-centered methods. The program's flexibility, internship opportunities, and career services make it an excellent choice for students looking to advance their skills and pursue a career in data science.

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