Data Science Western Washington University

Overview

The Data Science programme at Western Washington University provides students with the mathematical and computational foundations required to excel in a data-driven world. This interdisciplinary course focuses on the collection, organisation, and quantitative analysis of information to solve complex global challenges.

Students engage with a curriculum that bridges the gap between theoretical algorithms and practical application. By mastering tools for speech recognition, computer vision, and artificial intelligence, learners are equipped to uncover discoveries buried within massive datasets that traditional techniques cannot reach.

The department fosters a collaborative environment where data science serves as a hub for innovation across various disciplines.

Why Data Science at Western Washington University?

The programme is hosted within the College of Science and Engineering, benefiting from the expertise of both the Department of Computer Science and the Mathematics Department. This dual-departmental support provides students with a robust academic foundation and access to diverse faculty specialisations.

Western Washington University emphasises community involvement, encouraging students to participate in departmental clubs, research projects, and volunteering. These activities complement formal instruction and help build a professional network within the growing technology sector of the Pacific Northwest.

Facilities include modern laboratories where students can work on senior projects and undergraduate research. The institution's focus on satisfactory progress and academic readiness ensures that students are well-prepared for the rigours of the major and their subsequent professional careers.

Tuition Fee Breakdown

• International fee: USD 27690 per year
• National fee: USD 27690 per year
• Local fee: USD 8523 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• 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
• Data Science
• Machine Learning
• Senior Project 1
• Senior Project 2
• Senior Project 3
• Calculus and Analytic Geometry I
• Elementary Linear Algebra
• Multivariable Calculus and Geometry I
• Linear Algebra
• Probability and Statistical Inference
• Statistical Methods I
• Evolution, Ecology and Biodiversity w/lab
• Cellular and Molecular Biology w/lab
• Organismal Biology w/lab
• General Chemistry I
• Physical Geology
• Physics with Calculus I
• Artificial Intelligence
• Natural Language Processing
• Social Network Analysis
• Technology for Social Good
• Bioinformatics
• Computer Vision
• Data Mining
• Deep Learning

Careers with Data Science

Graduates are prepared for a variety of high-growth roles in the technology and data sectors. Common career paths include becoming a Machine Learning Scientist, Data Engineer, or Data Architect, where they design and implement complex data systems for diverse organisations.

The analytical skills gained also lead to opportunities as Data Analysts and Data Consultants. These professionals help businesses and research institutions interpret trends and make evidence-based decisions, often securing lucrative positions immediately following the completion of their degree.