Eligibility Requirements for Seattle MSc in Data Science

Here are the eligibility requirements for Seattle University MS in Data Science:

  • Completed Application

    Begin by submitting a completed application for graduate admission. Ensure all the required information is accurate and up-to-date to initiate the process.

  • Personal Statement

    Craft a compelling personal statement of 300 words addressing one of the two topics provided.

    You can share your career aspirations after graduating from the program or showcase a problem you've already solved or are eager to tackle using your analytical skills. Use this opportunity to convey your passion, determination, and unique perspective to the admissions team.

  • Official Transcripts

    Seattle University requires official transcripts from all post-secondary institutions attended during the last 90 quarters or 60-semester credits of your bachelor's degree.

    This includes any transfer credits earned during this time and any post-baccalaureate coursework. If official transcripts are unavailable, you may provide unofficial transcripts for the admissions process temporarily.

  • Academic Background

    While the program welcomes students from diverse backgrounds, successful applicants should have completed specific undergraduate courses to build a solid foundation.

    These courses include Elementary Probability and Statistics (e.g., MATH 2310), a Programming course in Python (e.g., CPSC 1220), and Integral Calculus (e.g., MATH 1335). Proficiency in these subjects will prepare you for the rigorous data analysis and modeling tasks in the MS program.

  • Resume or CV

    Your resume or curriculum vitae (CV) is a crucial component of your application. Use it to showcase your academic achievements, work experiences, internships, research projects, and any other relevant accomplishments.

  • GRE or GMAT Scores

    For most applicants, the GRE is not a mandatory requirement. However, students subject to the Three-Year Degree Policy or those who earned degrees from institutions issuing non-graded transcripts must submit official GRE (Code 4695) or GMAT (Code 5613) scores to be considered.

  • International Students

    International students may need to submit additional materials for a comprehensive evaluation of their applications. If English is not your native language, you must demonstrate English proficiency by meeting the university's entrance requirements.

3/4

Bachelor's GPA Requirement

Any degree

UG Requirement

5

Maximum Backlogs Accepted

Test Scores Requirement

ExamRequirement
6.5
86
63
120

Program Eligibility URL:https://www.seattleu.edu/scieng/math/msdatascience/requirements/

Seattle MSc in Data Science Class Profile

3

Avg. Bachelors GPA / Percentage

About Seattle University

Founded in 1891, Seattle University is a Jesuit Catholic institution nestled in the heart of Seattle. With 7,200+ diverse students across eight schools and colleges, we offer a wide range of undergraduate and graduate programs. Our education fosters intellectual growth, moral discernment, and social responsibility, creating leaders for a just world. 

Seattle MSc in Data Science Program Description

Seattle University MS in Data Science program offers a comprehensive curriculum, blending theoretical foundations with practical applications. Core courses span statistics, computer science, and data analysis, ensuring students gain essential skills for real-world data challenges. Electives and capstone projects provide domain-specific knowledge and hands-on experience. Emphasis on ethics aligns with Seattle University's mission of empowering leaders for a just world. 


Program URL:https://www.seattleu.edu/scieng/math/msdatascience/

Seattle MSc in Data Science Program Curriculum

Program Curriculum URL:https://www.seattleu.edu/scieng/math/msdatascience/course-descriptions/


Choose at least three of these courses, including at least one from List A, Advanced Foundations of Data Science

List A: Advanced Foundations of Data Science

  • Data Architectures for Analytics
  • Numerical Methods for Machine Learning
  • Advanced Machine Learning
  • Mathematical Statistics for Data Analytics

List B: Other Data Science Courses

  • Text Processing and Searching
  • Social Media Analytics
  • Artificial Intelligence
  • Crime Mapping
  • Economics and Business Forecasting
  • Web Analytics
  • Discrete Mathematics for Data Analytics
  • GIS for Public Administrators

Electives

Choose at least three of these courses, including at least one from List A, Advanced Foundations of Data Science

List A: Advanced Foundations of Data Science

  • Data Architectures for Analytics
  • Numerical Methods for Machine Learning
  • Advanced Machine Learning
  • Mathematical Statistics for Data Analytics

List B: Other Data Science Courses

  • Text Processing and Searching
  • Social Media Analytics
  • Artificial Intelligence
  • Crime Mapping
  • Economics and Business Forecasting
  • Web Analytics
  • Discrete Mathematics for Data Analytics
  • GIS for Public Administrators

Here is the list of core courses that are part of Seattle University MS in Data Science,

  • Foundations of Data Science
  • Probability for Data Science
  • Data Science, Law, and Ethics
  • Programming for Data Science
  • Data Management for Data Science
  • Applied Statistical Inference and Experimental Design
  • Data Visualization
  • Statistical Machine Learning I Statistical Machine Learning II
  • Big Data Analytics
  • Capstone I
  • Capstone II

Here are some active clubs and associations that are actively working in Seattle University,

  • Graduate Student Council
  • Ignatian Leaders 
  • RedhawkTHON 
  • Redzone
  • Student Events and Activities Council
  • Student Government of Seattle University

Seattle MSc in Data Science Acceptance Rate

Seattle University MS in Data Science admissions process is highly selective, with an acceptance rate of 82%. They seek diverse, talented individuals who can contribute to the dynamic community. 

Seattle MSc in Data Science Fee Structure

Breaking Down the First-Year Costs of Seattle University MS in Data Science

  • Tuition Fee: $15,012

    The largest component of your first-year expenses will be the tuition fee. This investment is a significant step towards your career growth and the acquisition of invaluable skills in the data science field.

  • Housing: $13,746

    On-campus housing is available at Seattle University, which offers convenience and an immersive college experience.  Alternatively, you may explore off-campus housing options, which could have varying costs depending on location and amenities.

  • Food: $5,547

    Seattle University's campus provides various dining options, including dining halls and cafes, catering to different dietary preferences. Students can also choose to prepare their meals, which might help control food expenses.

  • Personal Expenses: $1,950

    Personal expenses encompass a wide range of costs, including textbooks, stationery, personal care items, and leisure activities. 

  • Transportation: $1,800

    Seattle boasts an efficient public transportation system, making it convenient for students to navigate the city. This budget accounts for bus fares, light rail tickets, and other commuting expenses.

Total Estimated Cost for First Year: $38,055

Application Documents for Seattle MSc 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://grad-admissions.seattleu.edu/apply/

    Seattle MSc in Data Science Deadlines

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    Seattle MSc in Data Science Employment

    122,000

    Average Starting Salary


    Letter of Recommendation for Seattle MSc in Data Science

    Freeformat

    A letter of recommendation is a document written by someone familiar with your academic or professional achievements. It serves as a testament to your skills, character, and potential to succeed in your academic pursuits. 

    Importance of the Letter of Recommendation for Admission into Seattle University

    For admission into Seattle University, letters of recommendation play a crucial role in the evaluation process. They offer an external perspective on your qualifications, providing the admissions committee with valuable information beyond your academic records and application essays. 

    • Validate Your Qualifications: It substantiates your academic and professional achievements, adding credibility to your application.
    • Showcase Your Attributes: The letter highlights your strengths, character, work ethic, and potential as a student.
    • Differentiate Your Application: A strong letter of recommendation sets you apart from other applicants with similar qualifications.
    • Reinforce Your Fit: It reinforces how your skills and aspirations align with the program and values of Seattle University.
    • Reflect on Your Potential: The letter evaluates your potential to succeed and contribute positively to the university community.

    Tips for Getting a Good Letter of Recommendation

    • Choose recommenders who know you well.
    • Request the letter in advance.
    • Share relevant information and goals.
    • Be respectful and grateful.
    • Follow application guidelines.
    • Consider waiving your right to access.
    • Follow up professionally.
    • Provide a gentle reminder.
    • Maintain professionalism.
    • Confirm receipt with the university.
    0

    Statement of Purpose for Seattle MSc in Data Science

    A Statement of Purpose (SOP) is a crucial component of your application for the Seattle University MSc in Data Science. It is a personal essay that allows you to showcase your motivations, academic background, career goals, and how the program aligns with your aspirations.

    Your SOP provides the admissions committee with insights into your personality, passion for data science, and potential to contribute to the university's academic community.

    Importance of the SOP for Admission into Seattle University MSc in Data Science

    The SOP plays a pivotal role in the admission process at Seattle University. Admissions officers rely on the SOP to:

    • Evaluate Fit: The SOP helps determine if you are a good fit for the MSc in Data Science program and if your academic goals align with what the program offers.
    • Assess Passion: It reveals your genuine interest and passion for data science, demonstrating your enthusiasm for the field.
    • Personalize Your Application: The SOP allows you to personalize your application and distinguish yourself from other applicants.
    • Assess Communication Skills: Admissions officers assess your writing and communication skills through the SOP.

    Tips for Writing a Compelling SOP for Seattle University MSc in Data Science

    • Be Genuine: Share your authentic passion and experiences in data science.
    • Align with Values: Highlight how your goals align with Seattle University's ethics.
    • Showcase Skills: Emphasize relevant experiences and problem-solving skills.
    • Future Aspirations: Outline your career goals and how the program will contribute.
    • Concise and Proofread: Keep it focused, concise, and error-free.
    • Submit Early: Demonstrate enthusiasm by submitting ahead of the deadline.

    Seattle MSc in Data Science Scholarships available for International Students

    International graduate students can benefit from the prestigious Dean's Scholarship at Seattle University. This competitive award recognizes academic excellence and leadership potential. Explore this opportunity to invest in your future and fulfill your academic aspirations at Seattle University. Other financial aid options are also available to support your journey to success. Apply now and become part of our diverse and thriving community of scholars.

    What makes Seattle MSc in Data Science unique?

    The Seattle University Master of Science in Data Science stands out as a unique program for several reasons:

    • An interdisciplinary approach combining statistics and computer science.
    • Focus on data-driven decision-making for real-world problems.
    • Industry-relevant curriculum and faculty expertise.
    • Emphasis on ethics and social implications.
    • Engaging campus in Seattle's vibrant tech ecosystem.
    • Hands-on capstone projects for practical experience.

    What Seattle MSc in Data Science values in Applicants?

    Seattle University values applicants who demonstrate academic excellence, a commitment to ethical leadership, diverse perspectives, community engagement, and a passion for making a positive impact on society.

    Conclusion: Should you apply to Seattle MSc in Data Science?

    If you are passionate about data-driven decision-making, seeking a transformative educational experience, and aiming to excel in the dynamic field of data science, then applying to Seattle University MSc in Data Science is a compelling choice.

    With a diverse and talented community, interdisciplinary curriculum, ethical focus, and access to Seattle's vibrant tech ecosystem, this program offers an excellent opportunity to unleash your potential and shape a brighter future. Don't hesitate to apply and embark on an exciting journey in the heart of Seattle.
     

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