Data analytics is a multi-disciplinary field of study; comprising mathematics, statistics, computer sciences, and the study of data itself. The growing industry of data science has specialties in a plethora of topics, including actuarial sciences, agriculture and environmental systems, business, computation, data visualization, economics, and other sciences like life science, physical, and social sciences.
WSU understands the need for data analytics majors in the growing field and prepares them for success with outcomes such as the understanding of data in theory and practice, context and domain of data, and the methods and application of data. The recognition of professional data analyst responsibilities, legal and ethical obligations involving security and privacy, and principles of data use are studied in this degree. Graduates will be able to communicate their knowledge and function in academic and professional contexts while being able to be both a member and a leader of a team.
There has been an explosion of demand for skilled data analysts who can communicate, solve problems, and work effectively in teams. Data analytics tools and techniques are used by many different industries to create, manage, explore, and analyze large, complex datasets in order to evaluate past performance, predict future trends, and make better decisions.
Washington State University is one of only a handful of universities west of the Mississippi to offer an undergraduate degree specifically designed to prepare students for leadership in data analytics.
The WSU degree is currently available on the Pullman, Vancouver, Everett and Global campuses.
Bachelor of Science in Data Analytics
Our students are trained in advanced statistical, data, and computer science skills as well as concentrated domain knowledge. This combination enables WSU graduate to effectively work in teams and easily communicate with colleagues and managers to solve problems.
The nine specialization tracks are curricular partnerships between the College of Arts and Sciences and the the Voiland College of Engineering and Architecture, Carson College of Business, College of Education, and the College of Agriculture, Human, and Natural Resource Sciences.
Haylie Murray, Data Analytics 2019 graduate
I started school at Everett community college and got my AA in computer science. I then transferred to the newly built WSU Everett campus and decided to do data analytics, which was the first year they offered it. The reason I chose WSU Everett was because it was local and it was the closest school at the time that was offering data analytics. It also had amazing mentors like Nella Ludlow who gave a lot of advice on the industry. I liked the idea of data analytics because I felt it would offer a lot of opportunities to work with machine learning, and it’s always been a dream of mine to do something in AI. The journey wasn’t easy though. For the first couple of classes I was alone, and the only student in the program at the campus. I didn’t have too many people to study with, but this helped me branch out to other students in other disciplines. I believe it helped with my communication skills and taught me how to explain what I am doing at a high level, which becomes useful when working with people in other fields. It was a unique experience and could be challenging at times, but the struggle was worth the payout. My senior year I got an internship with EagleView where they use computer vision and machine learning to pull information out of aerial imagery specifically for roof reporting. This then turned into a full time job as I graduated in 2019.
Alex Tuck, Outstanding Senior, Spring 2020
I started my collegiate career at the Pullman campus studying computer science. As the year progressed I grew intimidated by the CS coursework and switched my major to math. I realize now that I needed a few semesters to grow before I would be ready to tackle that coursework again, as it is also integral to data analytics. With myself now studying math, I realized I was unsure of where I wanted my career to take me. This is where data analytics enters the picture. Data analytics offered the perfect opportunity for me to study a combination of both mathematics and computer science and to see how the two fields are intertwined in the real world. While on the data analytics computation track I was able to learn about software development, machine learning, and statistics. Now that I’ve graduated I hope to use what I’ve learned to realize my goal of being a software developer.