Data Science BS

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 Data Science BS at Western Washington University is your pathway to mastering the quantitative and computational methods essential for extracting meaningful insights from today's vast data landscapes. This interdisciplinary undergraduate program equips you with the skills to tackle complex, data-centric problems across science, business, and beyond, where traditional techniques fall short. You will delve into the core principles of data collection, processing, analysis, and visualization, building a robust foundation in areas like algorithms, database systems, and machine learning. If you are driven by curiosity and a desire to uncover hidden patterns, this degree provides the analytical toolkit needed to make a significant impact.

You will study this program on campus full-time over four years, engaging with a curriculum that balances theoretical knowledge with practical application. Your learning journey will involve core computer science, mathematics, and statistics modules, complemented by specialized data science courses such as Fundamentals of Data Science and Machine Learning. The program culminates in a senior capstone project or research, allowing you to apply your expertise to a real-world challenge. Upon graduation, you will be prepared for in-demand careers as data scientists, analysts, or researchers, equipped with the skills to thrive in a data-driven world.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Data Science BS program provides a comprehensive foundation in computational programming, data structures, and algorithmic analysis. Students will explore database systems, machine learning, and essential mathematical concepts including linear algebra and statistical inference. The curriculum also incorporates a science requirement and a range of electives allowing for specialization in areas such as artificial intelligence, natural language processing, and advanced statistical modeling.

1 Major Core (78 credits)

Computer Programming I
Programming & Linear Data Structures
Data Structures
Formal Languages & Functional Programming
Analysis of Algorithms I
Database Systems
Object Oriented Design
Analysis of Algorithms II
Fundamentals of Data Science
Machine Learning
Senior Capstone
Senior Research
Elementary Linear Algebra
Linear Algebra
Probability and Statistical Inference
Statistical Methods I

2 Science Requirement (12–15 credits)

Evolution, Ecology & Biodiversity
Cellular & Molecular Biology
Organismal Biology
General Chemistry I
General Chemistry II
General Chemistry III
Physical Geology
Historical Geology
Earthquakes
Volcanology
Engineering Geology
Minerals, Energy & Society
Geological Oceanography
Physics with Calculus I
Physics with Calculus II
Physics with Calculus III

3 Electives (16 credits)

Directed 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
Computational Neuroscience
Undergraduate Research
Temporary Topics
Linear Statistical Models
Categorical Data Analysis
Computational Statistics
Multivariate Statistics
Applied Time Series
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

Aerospace Engineering & DesignAerospace ManufacturingAirport Infrastructure & Aviation SecurityHealth, Safety & Environment (HSE)Logistics & Warehouse ManagementProduct Management & UXProduction & Operations ManagementPublic Broadcasting & DocumentaryQuality Assurance & TestingQuality Control & Assurance

Top Employers Hiring for this course

Amazon Web Services

Boeing

Meta

Microsoft

Why Study Data Science BS 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 BS at Western Washington University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work does not require a separate permit, while off-campus work requires university approval after the first year.

What English language score do I need for this course?

To enroll, you need to meet specific English test requirements. Acceptable scores include Duolingo: overall 105, TOEFL: overall 79, IELTS: overall 6.5, and PTE: overall 62.

What jobs can I get after studying this course?

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

What will I actually study in this course?

The Data Science BS program focuses on mathematical methods, computational techniques, and data visualization. It draws from diverse fields such as computer science and statistics, essential for analyzing data in various domains.

When can I start — what are the intake months?

You can start the Data Science BS program in January, March, or September. Each intake allows you to join the program at a convenient time based on your schedule.
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