Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon January 2027

Course Overview

The Bachelors Degree in Data Science at Western Washington University is designed for intellectually curious students eager to unlock the power of information. In an era where data drives innovation across nearly every sector, this programme equips you with the essential mathematical, statistical, and computational skills to navigate complex datasets. You will explore fundamental concepts in programming, data structures, and algorithms, alongside advanced topics like machine learning and database systems, preparing you to tackle real-world challenges and contribute to data-driven decision-making.

This full-time, on-campus undergraduate degree is structured over four years, providing a comprehensive education through a blend of core computer science, dedicated data science courses, and essential mathematics and science subjects. You will engage with practical applications through senior projects or research, developing your ability to analyze, model, and interpret data effectively. Upon graduation, you will be well-prepared for diverse career paths in fields such as data analysis, machine learning engineering, and statistical modeling, equipped with the in-demand expertise sought by employers.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Data Science program provides a robust foundation in computer programming, data structures, and algorithms, complemented by essential mathematics and science coursework. Students will delve into core data science concepts, machine learning, and complete a multi-part senior project. The curriculum also allows for specialization through a variety of electives in areas such as artificial intelligence, data mining, and advanced statistical modeling.

1 Major Core (78 credits)

Computer Programming I
Computer Programming and Linear Data Structures
Data Structures
Formal Languages and Functional Programming
Analysis of Algorithms and Data Structures I
Database Systems
Object Oriented Design
Analysis of Algorithms and Data Structures II

2 Data Science (14 credits)

Fundamentals of Data Science
Machine Learning
Senior Project 1
Senior Project 2
Senior Project 3
Senior Research

3 Math (31 credits)

Calculus and Analytic Geometry I
Calculus and Analytic Geometry II
Calculus I Honors
Calculus II Honors
Accelerated Calculus
Elementary Linear Algebra
Multivariable Calculus and Geometry I
Linear Algebra
Probability and Statistical Inference
Statistical Methods I

4 Science (12-15 credits)

Introduction to Evolution, Ecology and Biodiversity w/lab
Introduction to Cellular and Molecular Biology w/lab
Introduction to Organismal Biology w/lab
General Chemistry I
General Chemistry II
General Chemistry III
Physical Geology
Historical Geology
Dinosaurs and Their Environment
Earthquakes
Volcanology
Engineering Geology
Minerals, Energy and Society
Geological Oceanography
Physics with Calculus I
Physics with Calculus II
Physics with Calculus III

5 Electives (16 credits)

Directed Independent Study
Artificial Intelligence
Natural Language Processing
Social Network Analysis
Technology for Social Good
Advanced Machine Learning
Bioinformatics
Computer Vision
Data Mining
Spoken Language Processing
Deep Learning
Undergraduate Research
Linear Statistical Models
Categorical Data Analysis
Computational Statistics
Multivariate Statistics
Applied Time Series Analysis
Bayesian Statistics
Stochastic Processes
Numerical Linear Algebra
Linear Optimization
Numerical Computation
Nonlinear Optimization
Numerical Analysis

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 27,690.00
Second Year Fee Tuition fee
USD 27,690.00
Third Year Fee Tuition fee
USD 27,690.00
Fourth Year Fee Tuition fee
USD 27,690.00
Total Program Cost Estimated total tuition
USD 110,760.00

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

Living Costs

Accommodation
USD 1,450.00 - USD 1,750.00
Food & Groceries USD 3,600.00 - USD 5,400.00
Transport USD 840.00 - USD 1,440.00
Utilities & Bills USD 1,200.00 - USD 2,040.00
Estimated Total USD 5,640.00 - USD 8,880.00

Living cost estimates are based on Bellingham Campus.

Outcomes & Employability

What happens after you graduate

90%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Alternative Aviation Fuel & SustainabilityBroadband & Internet ServicesCommercial AviationCybersecurityCybersecurity & Network SecurityData Science & AnalyticsIT Support & Systems AdministrationPhotojournalism & Visual MediaRoad Transport & LogisticsSupply Chain & Procurement

Top Employers Hiring for this course

Amazon Web Services

Boeing

Meta

Microsoft

Why Study Data Science at Western Washington University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at Western Washington 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 at Western Washington University

Can I work while studying?

International students can work up to 20 hours a week during term time and full-time during breaks. On-campus work doesn't require separate permits.

What English language score do I need for this course?

To enroll, you'll need to meet specific English language requirements, such as a Duolingo score of 105 or a TOEFL overall score of 79. Please check the exact requirements for each test.

What jobs can I get after studying this course?

Job titles in this field include Data Analyst, Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer.

What will I actually study in this course?

Data Science combines mathematics, computing, and statistics to extract insights from data. Key areas include data visualization and quantitative analysis.

When can I start — what are the intake months?

Courses in Data Science start in January, April, and September. Be sure to apply early to secure your spot.
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