Bachelor's Data Analytics Programs in Washington
University of Washington-Seattle Campus — Seattle, WA
Key Distinction: UW-Seattle's data science program stands apart through its integration with world-class ML research labs and unmatched proximity to major tech employers, positioning graduates for senior technical and research roles.
Hakia Insight: UW-Seattle's advantage runs deeper than brand proximity—undergraduates collaborate directly with faculty in the Allen School's ML labs alongside PhD students, positioning them for research-track internships at Amazon and Microsoft before graduation, not after.
At the bachelor's level, the University of Washington's data science and analytics ecosystem benefits from being embedded within one of the nation's premier computer science research institutions. The Allen School houses cutting-edge research labs where students gain access to faculty working on machine learning, natural language processing, and large-scale systems—opportunities rarely available at other schools. Rather than a isolated analytics program, UW students navigate tracks through computer science, applied mathematics, statistics, and information science, allowing highly customized degree pathways. This flexibility attracts students with different backgrounds: those from tech seek depth in ML systems; those from social sciences pursue causal inference and interpretability research. The Seattle location provides unparalleled industry access—Amazon, Microsoft, Google, and countless startups actively recruit from UW, often sponsoring research projects and hiring interns into full-time analytics and ML roles. Graduate outcomes skew toward technically advanced positions: machine learning engineers, research scientists, and senior data science roles at major tech companies. Faculty expertise spans foundational research and applied problem-solving, with many holding dual appointments in industry and academia. The program's competitive edge lies not just in name recognition but in the sheer density of advanced courses, research opportunities, and direct industry pipelines available to enrolled students.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Paul G. Allen School of Computer Science & Engineering
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
Accreditations and Certifications
Location Advantages: Seattle tech hub with headquarters/major offices for Amazon, Microsoft, Google, MetaAccess to startup ecosystem and venture-backed companiesStrong local industry partnerships and sponsorships
Bellevue College — Bellevue, WA
Hakia Insight: Bellevue College's location in one of the nation's highest-demand tech metros means its partnerships with regional employers translate into hands-on projects where students solve problems for companies actively hiring, converting coursework into interview-ready portfolios.
At the bachelor's level, this program prepares students for a rapidly growing field with 25% expected employment growth from 2020-2030 according to the U.S. Bureau of Labor and Statistics. Students can complete either a capstone project or receive internship credits working within the industry, providing flexible pathways to graduation.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
Western Washington University — Bellingham, WA
Key Distinction: Western Washington distinguishes itself through an engineering-centric data analytics curriculum that prioritizes data architecture and scalable systems over statistical modeling alone.
Hakia Insight: Western Washington's engineering-first curriculum teaches students to think in pipelines and distributed systems rather than statistical formulas alone—a distinction that shows up in hiring preferences from infrastructure-heavy employers like Boeing and regional DevOps teams.
At the bachelor's level, western Washington's analytics offerings emerge from a computer science foundation with particular strength in data engineering and systems-level thinking. Rather than positioning analytics as a statistical discipline, the program grounds students in computational efficiency and data architecture—how to build scalable pipelines and manage large datasets responsibly. This engineering-forward perspective appeals to students interested in infrastructure roles, data engineering positions, and technical leadership paths. Courses emphasize programming rigor (C++, Java, Python) alongside machine learning fundamentals, preparing graduates for roles where analytics intersects with software engineering. The Bellingham location, while quieter than Seattle, offers proximity to tech companies in the Puget Sound region and maintains partnerships with organizations looking for analytically trained engineers. Faculty research spans distributed systems, database optimization, and machine learning applications, giving students exposure to advanced topics often reserved for graduate-track computer science programs. Internship placements tend toward technical-heavy roles—data engineers, analytics engineers, and machine learning engineers—rather than business analyst positions.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Accreditations and Certifications
Location Advantages: Proximity to Puget Sound tech corridor and regional companies
Seattle University — Seattle, WA
Key Distinction: Hands-on classes with real-world projects connected to Seattle businesses and community. World-class advisory board including Microsoft, Meta, AirBnB, Amazon, Boeing, and Tableau with regular mentoring and recruitment visits
Hakia Insight: Seattle University's advisory board isn't ceremonial; regular mentoring visits and recruitment cycles from Microsoft, Meta, and Amazon mean students iterate on real business problems with practitioners who will later interview them, collapsing the gap between classroom and hiring.
Seattle University's Bachelor of Science in Business Administration with a Business Analytics major combines statistical expertise with real-world application, preparing students to drive data-driven decision-making in organizations. The program emphasizes hands-on learning through projects using real-world data and strong partnerships with industry leaders including Microsoft, Meta, Amazon, Boeing, and Tableau. Students develop competencies in data visualization, statistical programming (R, Python, SQL), machine learning, and big data analysis, while learning to communicate technical findings to non-technical audiences. The Albers School's location in Seattle's tech hub provides extensive internship and career opportunities. Graduates achieve a 90% placement rate within six months of graduation with an average starting salary of $85,000. The curriculum integrates ethical decision-making and Jesuit values alongside technical skills, with support from small class sizes and free tutoring/lab services.
Programs Offered
- Bachelor of Science in Business Administration - Business Analytics — 4 years, on-campus. BA
Career Outcomes
Median Salary: $NaN. Top Employers: Microsoft, Meta, Amazon, Boeing, Intel.
Accreditations and Certifications
- STEM-Approved Program by United States Department of Homeland Security
Location Advantages: Seattle tech ecosystem with access to Fortune 500 and startup employersStrong nonprofit and social enterprise sector for mission-driven internships and careersProximity to healthcare organizations for health data science opportunities
University of Washington-Tacoma Campus — Tacoma, WA
Key Distinction: Internships for credit (TCSS 497). Undergraduate research opportunities (TCSS 498, 499) with up to 10 credits applicable to electives
Hakia Insight: UW Tacoma's internship-for-credit and undergraduate research models (TCSS 497–499) allow students to fold paid work directly into degree progression, a structural advantage that other regional programs lack and that materially accelerates both learning and earnings timelines.
The B.S. in Computer Science & Systems at UW Tacoma provides a broad approach to computer science with equal emphasis on software design methods relevant to local and regional industry needs. The curriculum covers computer science theory, object-oriented programming, algorithms, data structures, discrete structures, architecture, operating systems, software design, and ethical computing issues. Students complete 25 credits of advanced electives including required design courses, and can pursue honors with an in-depth research thesis. Graduates pursue internships and careers at major employers including Boeing, Intel, Blue Origin, T-Mobile, Tacoma Power, and the Naval Undersea Warfare Center. Common career paths include Software Engineer, Systems Analyst, Project Manager, Web Developer, and Video Game Designer. The program emphasizes hands-on learning through practical coursework, elective research opportunities (TCSS 497, 498, 499), and internships for credit.
Programs Offered
- Bachelor of Science in Computer Science & Systems — 4 years, on-campus. BS
Industry Partners
- Port of Tacoma (government)
Career Outcomes
Top Employers: Boeing, Intel, T-Mobile.
Accreditations and Certifications
Location Advantages: Regional access to healthcare, logistics, government, and Port of Tacoma opportunitiesGrowing tech sector in Tacoma and surrounding Puget Sound region
University of Washington-Bothell Campus — Bothell, WA
Key Distinction: This interdisciplinary Data Analytics minor uniquely emphasizes both technical skills and critical examination of data analysis methods within social contexts, allowing students to apply analytics directly to their home discipline.
Hakia Insight: UW Bothell's interdisciplinary minor structure forces students to ground analytics in domain expertise—whether biology, social science, or business—rather than teaching analytics in isolation, a design that makes graduates immediately productive in cross-functional teams.
At the bachelor's level, the University of Washington-Bothell Campus offers a comprehensive Data Analytics program through an interdisciplinary minor that equips students with computational, statistical, and interpretive skills necessary to apply data analysis to problems in their home discipline. Approved for Autumn 2023, the program carefully considers critiques and social context of data analysis methods. The minor requires 25 credits total (5 courses): 3 required courses including Introduction to Data Studies, Introduction to Data Visualization, and Data Management, plus 2 electives from approved options spanning biology, computer science, engineering, and geographic information systems. Students must complete prerequisite statistics coursework and maintain a minimum 2.0 grade in all courses. The program is housed within the School of Science, Technology, Engineering & Mathematics and leverages the university's strong STEM faculty expertise. Students have access to various computational biology, bioinformatics, and programming courses as electives, allowing them to tailor their data analytics skills to their specific field of study.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Center for Biotechnology Innovation & Training
- National Center of Academic Excellence in Cybersecurity
Admissions
GPA Requirement: 2.0.
Requirements: BBUS 215, BIS 215, BMATH 215, STMATH 341, STMATH 390, STMATH 392
Accreditations and Certifications
- National Center of Academic Excellence in Cybersecurity
Location Advantages: Access to Seattle tech industryProximity to major research institutions
City University of Seattle — Seattle, WA
Key Distinction: The program stands out with its practical hands-on approach featuring live company projects and real-world applications, combined with experienced faculty who are active professionals in the data analytics field.
Hakia Insight: City University of Seattle's faculty model of active professionals teaching alongside live company projects eliminates the lag between industry practice and curriculum; students learn contemporary tools and patterns from people shipping production code, not instructors reviewing old case studies.
At the bachelor's level, city University of Seattle's Data Analytics program offers multiple pathways including a Bachelor of Science in Business and Data Analytics and a Master of Science in Data Science. The BS BDA combines business knowledge with cutting-edge data analysis skills, featuring a practical hands-on approach with real-world projects, case studies, and live company projects. The program focuses on data analysis techniques, programming languages, and business concepts, preparing graduates for careers in retail, marketing, manufacturing, and operations. The MS in Data Science is an interdisciplinary program following ACM Body of Knowledge standards, covering data mining, analytics, machine learning, cloud computing, big data, and natural language processing. Both programs emphasize practical application with experienced faculty who are skilled professionals in the field.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Center for Cybersecurity Innovation
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: 5-quarter hour credits in computer programming, 5-quarter hour credits in networking (TCP/IP), 5-quarter hour credits in data management including SQL/NoSQL, Bachelor's degree for graduate programs
Location Advantages:
Eastern Washington University — Cheney, WA
Key Distinction: EWU's Data Analytics programs uniquely combine AACSB-accredited business education with cutting-edge AI and machine learning applications, offered through an affordable online format with immediately applicable, contemporary curriculum.
Hakia Insight: EWU's AACSB accreditation combined with its affordable online delivery means students get business-school rigor at community-college pricing, and the explicit AI/ML integration throughout signals the program was built for 2024 hiring demands, not legacy analytics frameworks.
At the bachelor's level, eastern Washington University offers comprehensive Data Analytics education through multiple pathways, including an AACSB-accredited online MBA with Data Analytics Concentration and a Bachelor of Science in Data Science. The MBA program focuses on developing leadership competencies while mastering statistical techniques, data visualization, and AI applications for business decision-making. Students learn to examine relevant data, draw informed conclusions, identify ethical dilemmas, and incorporate global considerations into business activities. The BS in Data Science is an interdisciplinary program combining mathematics, statistics, and computer science, emphasizing analysis and mining of high-volume, high-velocity data sets with model building and computational skills for cloud-based large data management.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Abinash Borah — Cybersecurity
- Chris Cain — Computer Science, Gamification for Learning
- Tony Espinoza — Cybersecurity
Accreditations and Certifications
Location Advantages:
Master's Data Analytics Programs in Washington
University of Washington-Seattle Campus — Seattle, WA
Key Distinction: Accelerated 12-month full-time program (shorter than competing 18-month programs at other schools). STEM-designated degree
Hakia Insight: The 12-month STEM designation at UW Foster compresses what most programs stretch to 18 months, but the real edge is embedding within the Allen School's research labs—graduates emerge with co-authored work and faculty networks that bypass traditional two-year relationship-building.
The Master of Science in Business Analytics (MSBA) at Foster School of Business is a full-time, 12-month STEM-designated program designed for working professionals seeking rapid career advancement in data science and business analytics. The program features cohort-based learning with personalized one-on-one career coaching, integrating AI across all coursework and real-world projects. Graduates achieve an average starting salary of $106,000 (Class of 2023), with the program ranked #7 for alumni outcomes and #10 for value for money by QS World University Rankings (2025). The accelerated 12-month format reduces time and cost compared to competing 18-month programs. Foster offers a robust alumni network spanning Seattle and globally, with industry expert instruction and direct connections to leading employers. While this program is full-time rather than part-time, its compressed timeline enables working professionals to complete credentials efficiently.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Paul G. Allen School of Computer Science & Engineering
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
Career Outcomes
Median Salary: $NaN. Top Employers: T-Mobile.
Accreditations and Certifications
Location Advantages: Seattle tech hub with headquarters/major offices for Amazon, Microsoft, Google, MetaAccess to startup ecosystem and venture-backed companiesStrong local industry partnerships and sponsorships
Seattle University — Seattle, WA
Key Distinction: STEM-designated program with 24-month OPT extension eligibility for international students. Flexible 1-2 year completion timeline for working professionals
Hakia Insight: Seattle University's 24-month OPT eligibility for international students and flexible 1–2 year timelines create rare flexibility; accounting backgrounds pair with the STEM stamp to unlock extended work authorization and employer-sponsored pathways competitors can't match.
Seattle University's Master of Science in Accounting and Analytics (MSAA) is a STEM-designated program designed for working professionals with accounting undergraduate degrees. The 45-credit program can be completed in 1-2 years, offering flexible scheduling for working professionals. Five of 15 courses focus on analytics while eight are STEM courses, combining financial expertise with data-driven decision-making skills. The curriculum includes courses tailored for CPA, CIA, CMA, and ACCA exam preparation, with real-world experience through IT audit practicum, tax practicum, and optional 12-hour internship opportunities. Graduates are positioned for rapid career advancement in accounting, audit, risk assurance, and advisory roles. Alumni have placed with Big 4 firms and top regional companies in the Pacific Northwest, leveraging analytics skills to command higher salaries and leadership positions.
Programs Offered
- Master of Science in Accounting and Analytics — 1-2 years, on-campus. MS
Accreditations and Certifications
- STEM-Approved Program by United States Department of Homeland Security
Location Advantages: Seattle tech ecosystem with access to Fortune 500 and startup employersStrong nonprofit and social enterprise sector for mission-driven internships and careersProximity to healthcare organizations for health data science opportunities
City University of Seattle — Seattle, WA
Key Distinction: The program stands out with its practical hands-on approach featuring live company projects and real-world applications, combined with experienced faculty who are active professionals in the data analytics field.
Hakia Insight: City University Seattle's faculty-as-practitioners model translates to curriculum that evolves faster than academic timelines allow—students learn bleeding-edge tools in real company codebases rather than waiting 2–3 years for textbooks to catch up.
At the master's level, city University of Seattle's Data Analytics program offers multiple pathways including a Bachelor of Science in Business and Data Analytics and a Master of Science in Data Science. The BS BDA combines business knowledge with cutting-edge data analysis skills, featuring a practical hands-on approach with real-world projects, case studies, and live company projects. The program focuses on data analysis techniques, programming languages, and business concepts, preparing graduates for careers in retail, marketing, manufacturing, and operations. The MS in Data Science is an interdisciplinary program following ACM Body of Knowledge standards, covering data mining, analytics, machine learning, cloud computing, big data, and natural language processing. Both programs emphasize practical application with experienced faculty who are skilled professionals in the field.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Center for Cybersecurity Innovation
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: 5-quarter hour credits in computer programming, 5-quarter hour credits in networking (TCP/IP), 5-quarter hour credits in data management including SQL/NoSQL, Bachelor's degree for graduate programs
Location Advantages:
Seattle Pacific University — Seattle, WA
Key Distinction: SPU's MS-DAB program combines AACSB accreditation with Seattle's unique proximity to world-class tech companies, offering both online and on-campus evening formats for maximum flexibility while maintaining rigorous academic standards.
Hakia Insight: SPU's dual on-campus evening and full online formats with AACSB backing allow working professionals to maintain income while earning a degree that still carries employer prestige, a rare combination that other Seattle programs segregate into separate tiers.
At the master's level, seattle Pacific University's data analytics program emphasizes applied learning through real-world projects and industry collaboration, positioning students to transition directly into analytics roles. The curriculum balances foundational statistics and programming with hands-on experience in data visualization, predictive modeling, and business intelligence—domains that immediately translate to job-ready skills. What distinguishes this program is its integration with Seattle's thriving tech ecosystem: students gain exposure to regional companies and emerging startups while working on datasets and problems drawn from actual industry challenges. The program particularly strengths in helping non-technical backgrounds build analytical competency, with supportive coursework in SQL, Python, and R alongside statistical reasoning. Faculty bring practical experience from analytics consulting and technology companies, mentoring students through capstone projects that often address real organizational questions. The intimate class sizes typical of SPU create mentorship opportunities often lost in larger programs. Graduates typically move into junior analyst, business analyst, or data scientist roles at companies ranging from Fortune 500 firms to innovative Seattle-area startups. The program's location in the Pacific Northwest—home to Amazon, Microsoft, and a dense startup community—provides both recruitment advantages and internship pipelines. SPU's emphasis on ethical data use and storytelling with data reflects the program's commitment to analytics as a communication discipline, not just a technical one. Students report that the combination of rigorous methodology, accessible instruction, and proximity to hiring managers gives them a genuine competitive edge in a crowded analytics job market.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Accreditations and Certifications
Location Advantages: Proximity to world's top tech companiesSeattle's strategic position in the Pacific Northwest technology sector
Washington State University — Pullman, WA
Key Distinction: WSU is one of only a handful of universities in the U.S. to offer an online undergraduate degree specifically designed to prepare students for leadership in data analytics, featuring stackable certificates and extensive hands-on experience with real industry datasets.
Hakia Insight: WSU's transdisciplinary labs (AgAID, SCADS) and stackable certificates model create unusual optionality—students can exit with a working credential after one year or continue to a full degree, and the 100% online option with a $100K median outcome proves distance doesn't discount earning potential.
At the master's level, washington State University's Data Analytics program is a transdisciplinary Bachelor of Science degree that applies fundamental scientific principles to analyze large, complex datasets. Drawing from Artificial Intelligence, Business, Computer Science, Data Science, Math, and Statistics, the program develops strong technical skills and working knowledge of application areas combined with communication abilities. WSU is one of a handful of universities in the U.S. to offer an online undergraduate degree specifically designed for data analytics leadership. The program features extensive hands-on opportunities with real industry datasets, preparing students for high-demand careers with starting salaries in six figures. Core data skills enable graduates to work across diverse sectors including manufacturing, e-commerce, transportation, retail, healthcare, government, insurance, finance, education, and environmental management. The interdisciplinary curriculum includes stackable certificate options and is taught by renowned faculty from the College of Arts and Sciences and Voiland College of Engineering.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Agricultural AI for Transforming Workforce and Decision Support (AgAID)
- High Performance Computational Biology Laboratory
- Scalable Algorithms for Data Science Laboratory (SCADS)
Career Outcomes
Median Salary: $100,000.
Location Advantages: Available at Everett, Global, Pullman, and Vancouver campuses100% online option available
Doctoral Data Analytics Programs in Washington
University of Washington-Seattle Campus — Seattle, WA
Key Distinction: UW-Seattle's data science program stands apart through its integration with world-class ML research labs and unmatched proximity to major tech employers, positioning graduates for senior technical and research roles.
Hakia Insight: UW-Seattle's doctoral students don't just study alongside world-class ML research—they inherit direct pipelines into Amazon, Microsoft, and Google labs where their advisors already publish, meaning dissertation work often becomes immediately commercializable or integrated into production systems.
At the doctoral level, the University of Washington's data science and analytics ecosystem benefits from being embedded within one of the nation's premier computer science research institutions. The Allen School houses cutting-edge research labs where students gain access to faculty working on machine learning, natural language processing, and large-scale systems—opportunities rarely available at other schools. Rather than a isolated analytics program, UW students navigate tracks through computer science, applied mathematics, statistics, and information science, allowing highly customized degree pathways. This flexibility attracts students with different backgrounds: those from tech seek depth in ML systems; those from social sciences pursue causal inference and interpretability research. The Seattle location provides unparalleled industry access—Amazon, Microsoft, Google, and countless startups actively recruit from UW, often sponsoring research projects and hiring interns into full-time analytics and ML roles. Graduate outcomes skew toward technically advanced positions: machine learning engineers, research scientists, and senior data science roles at major tech companies. Faculty expertise spans foundational research and applied problem-solving, with many holding dual appointments in industry and academia. The program's competitive edge lies not just in name recognition but in the sheer density of advanced courses, research opportunities, and direct industry pipelines available to enrolled students.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Paul G. Allen School of Computer Science & Engineering
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
Accreditations and Certifications
Location Advantages: Seattle tech hub with headquarters/major offices for Amazon, Microsoft, Google, MetaAccess to startup ecosystem and venture-backed companiesStrong local industry partnerships and sponsorships
Washington State University — Pullman, WA
Key Distinction: WSU is one of only a handful of universities in the U.S. to offer an online undergraduate degree specifically designed to prepare students for leadership in data analytics, featuring stackable certificates and extensive hands-on experience with real industry datasets.
Hakia Insight: WSU's dual doctorate structure (PhD and DSc) plus stackable certificates creates an unusual exit-ramp strategy: students can credential at multiple levels without restarting, and the 100% online delivery means mid-career professionals in agriculture or industrial sectors can pursue cutting-edge data science without relocating.
At the doctoral level, washington State University's Data Analytics program is a transdisciplinary Bachelor of Science degree that applies fundamental scientific principles to analyze large, complex datasets. Drawing from Artificial Intelligence, Business, Computer Science, Data Science, Math, and Statistics, the program develops strong technical skills and working knowledge of application areas combined with communication abilities. WSU is one of a handful of universities in the U.S. to offer an online undergraduate degree specifically designed for data analytics leadership. The program features extensive hands-on opportunities with real industry datasets, preparing students for high-demand careers with starting salaries in six figures. Core data skills enable graduates to work across diverse sectors including manufacturing, e-commerce, transportation, retail, healthcare, government, insurance, finance, education, and environmental management. The interdisciplinary curriculum includes stackable certificate options and is taught by renowned faculty from the College of Arts and Sciences and Voiland College of Engineering.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Agricultural AI for Transforming Workforce and Decision Support (AgAID)
- High Performance Computational Biology Laboratory
- Scalable Algorithms for Data Science Laboratory (SCADS)
Career Outcomes
Median Salary: $100,000.
Location Advantages: Available at Everett, Global, Pullman, and Vancouver campuses100% online option available