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Seattle University

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Washington

United States

The Master of Science in Data Science program at Seattle University stands out as a premier choice for students who are passionate about leveraging data to drive strategic decision-making in business and technology. This comprehensive program, offered by the esteemed College of Science and Engineering, is designed to equip students with a robust understanding of both the theoretical and practical aspects of data science and business intelligence. Over a rigorous duration of 24 months, students delve into various focus areas, including machine learning, artificial intelligence, data systems administration, and security, ensuring they are well-rounded professionals ready to meet industry demands.

The curriculum of the program is meticulously crafted to cover essential concepts in data science, enabling students to master vital skills such as applied statistics, data preparation, and practical machine learning. Through a blend of theoretical coursework and hands-on experience, students develop competencies that are not only critical for success in data-centric roles but also relevant across multiple sectors. Classes are structured to promote active learning and collaboration, providing students opportunities to engage in projects that simulate real-world challenges.

Students enrolled in the program can expect an enriching learning environment that fosters innovation and critical thinking. The faculty at Seattle University comprises seasoned professionals and researchers who bring a wealth of knowledge and real-world experience to the classroom. Their expertise spans various domains, including software engineering, data architecture, and artificial intelligence, ensuring that students are taught by leaders in the field. The faculty's commitment to mentorship and student success plays a pivotal role in shaping the academic journey and career trajectories of graduates.

Research opportunities are abundant within the Data Science program. Students have access to state-of-the-art resources and facilities that encourage exploration and innovation. This access enables students to engage in groundbreaking research that can contribute to advancements in data science and related fields. Collaborations with industry partners also enhance the research experience, allowing students to apply their learning in practical settings and gain insights into emerging trends and technologies.

The program's strong connections with industry facilitate numerous internship possibilities, providing students invaluable experience that bridges the gap between academia and the professional world. With a median base salary of $105,000 upon graduation, students are well-positioned to pursue lucrative career pathways in various sectors, including technology, finance, healthcare, and more. Job roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst are just a few examples of the exciting opportunities available to graduates.

Alumni of the MS in Data Science program have gone on to achieve remarkable success in their respective fields. Many have secured positions in top-tier companies, contributing to projects that influence technological advancements globally. Testimonials from alumni highlight their preparedness for the workforce, attributing their success to the program's rigorous curriculum and the supportive community at Seattle University. This network of successful professionals continues to grow, providing current students with valuable connections and mentorship opportunities.

Unique features that distinguish the Master of Science in Data Science program at Seattle University include a dynamic curriculum that adapts to the rapidly changing landscape of technology and data science, as well as a strong emphasis on ethical considerations in data practices. The program also offers a blend of online and in-person courses, catering to the diverse needs of students. By engaging in collaborative projects and accessing cutting-edge tools and technologies, students are prepared to navigate the complexities of data-driven decision-making.

In terms of prerequisites, prospective students should hold a bachelor’s degree from an accredited institution, with a strong foundation in mathematics, statistics, and programming. No GRE scores are required for admission, making the application process more accessible. Applicants must also submit academic transcripts, a resume, and letters of recommendation to complete their application. Language proficiency is required, with accepted scores for tests such as the TOEFL, IELTS, and DUOLINGO.

Why Study Master of Science in Data Science at Seattle University

  • Rigorous curriculum blending theoretical knowledge with practical application in data science.
  • Access to experienced faculty and industry leaders who bring real-world insights to the classroom.
  • Ample research opportunities with state-of-the-art resources and collaboration with industry partners.
  • Strong industry connections leading to valuable internship experiences and job placements.
  • Alumni network that provides mentorship and professional opportunities post-graduation.
  • Focus on ethical implications and responsibilities in data science practices.
  • Flexible study options accommodating various learning preferences.

In conclusion, the Master of Science in Data Science at Seattle University is not just an educational program; it is a transformative experience that prepares students to become leaders in the data-driven world. With its comprehensive curriculum, expert faculty, and supportive community, students are empowered to make meaningful impacts in their careers and society.

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Duration

24 Months

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Median Salary

$1,05,000

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

3 Years

Diversity

Others:

21%

China:

15%

India:

10%

Canada:

5%

Mexico:

4%

United States:

45%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Engineer

Data Visualization Specialist

Information Security Analyst

Machine Learning Engineer

Marketing Analyst

Business Intelligence Analyst

Database Administrator

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

UX Designer

IT Project Manager

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • DUOLINGO

    110

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  • TOEFL

    86

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  • IELTS

    6.5

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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 Deadlines

Fees and Funding

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Tuition Fees

$21,308 / 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 Seattle University Master of Science in Data Science program offers a variety of scholarships and financial aid opportunities to help students afford the cost of tuition and living expenses. Scholarships are available based on academic merit, financial need, and other criteria. The program also offers a tuition waiver for students who are admitted to the program with a 3.5 GPA or higher.
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    Seattle University

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FAQs

  • A student can complete Data Science at Seattle University with in 24.
  • The application fee to pursue Data Science at Seattle University is USD 55 for international students.
  • The annual tuition fee to pursue Data Science at Seattle University is USD 21308.
  • The submission of these scores mainly depends on the type of degree/ course selected at the Seattle 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 Seattle 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 Seattle 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 Seattle 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 Seattle University website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at Seattle 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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