Seattle University United States

Data Science, MS

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 6 Semesters
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Master of Science in Data Science (MSDS) at Seattle University is your pathway to becoming a leader in the era of big data, equipping you to tackle complex challenges through an interdisciplinary approach that blends computer science, statistics, and data analysis. This postgraduate program is designed for ambitious individuals seeking to excel in data-driven decision-making, preparing you to interpret and leverage vast datasets for strategic advantage. You will delve into foundational concepts and advanced techniques, gaining the critical skills necessary to thrive in a field that is increasingly central to innovation and problem-solving across all industries, from programming for data science to big data analytics.

Studied full-time on campus over six academic semesters, this Master of Science degree allows you to immerse yourself in the subject matter. You will engage with core coursework including Probability for Data Science, Data Visualization, and Statistical Machine Learning, alongside electives that allow for specialization. A distinctive feature of the program is the two-part Capstone project, where you will collaborate with industry partners on real-world challenges, applying your learned skills in data management and ethical data practices. You will graduate prepared for diverse career paths in data science, analytics, and related technology sectors.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science in Data Science program provides a comprehensive foundation in the field, covering essential areas such as programming, data management, and big data analytics. Students will delve into probability, statistical inference, and machine learning, while also exploring data visualization and the ethical considerations of data science. The curriculum includes a two-part capstone project and offers a range of electives to specialize in areas like data architectures, advanced machine learning, text processing, and social media analytics.

1 Required Courses

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

2 Electives

Data Architectures for Analytics
Numerical Methods for Machine Learning
Advanced Machine Learning
Mathematical Statistics for Data Analytics
Text Processing and Search
Social Media Analytics
Artificial Intelligence
Crime Mapping
Economics and Business Forecasting
Web Analytics
Discrete Mathematics for Data Analytics
GIS for Public Administrators

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 10,420.00
Second Year Fee Tuition fee
USD 10,420.00
Third Year Fee Tuition fee
USD 10,420.00
Total Program Cost Estimated total tuition
USD 31,260.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,039.00 - USD 1,919.00
Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Seattle Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising Finance & OperationsAlternative Aviation Fuel & SustainabilityBrand ManagementCreative & ContentEvent & Experiential MarketingPublic RelationsQuality Assurance & TestingSatellite CommunicationsSupply Chain & Freight ManagementUrban Mobility & Smart Transport

Top Employers Hiring for this course

Amazon

Amazon Web Services

Boeing

Google

Microsoft

Why Study Data Science, MS at Seattle University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at Seattle University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science, MS at Seattle University

Can I work while studying?

Students can work on campus up to 20 hours per week while studying. After the first year, they may be eligible for off-campus employment in their field for 12-24 months.

Is this qualification recognised internationally?

Please confirm accreditation details directly with the institution.

What English language score do I need for this course?

Applicants must meet English proficiency requirements through tests like Duolingo, TOEFL, IELTS, or PTE. Scores vary by test but generally include minimum requirements for listening, reading, speaking, and writing.

What jobs can I get after studying this course?

Possible job titles include Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, and Statistician.

What will I actually study in this course?

The Master of Science in Data Science at Seattle University covers essential topics like Programming for Data Science and Big Data Analytics. This program prepares students to lead in the field of data-driven decision-making through an interdisciplinary approach.

When can I start — what are the intake months?

The Data Science MS program has four intake months: January, March, June, and September. Prospective students can start their studies during any of these times.
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