Campus Training

We offer a unique set of analytics courses at Foster that focus on the basics of data-driven marketing and applications of machine learning in business settings. Hundreds of students at the undergraduate and graduate level (MBA, MSBA) take these courses every year and join firms in the Seattle area after graduation. Our students are well-versed in marketing concepts and implementing large scale analytics projects using R and Python – the modern language of analytics. These students are our lasting impact on the Seattle analytics ecosystem.

Affiliated Programs at Foster

Master of Science in Business Analytics

MBA Marketing Analytics Specialization

Undergraduate Marketing Analytics Specialization

Analytics Courses

Covers search and display advertising, email marketing, attribution models, social media strategies, and two-sided platforms. The course takes a quantitative and data-driven approach for analyzing and improving digital marketing strategies.

Identifies analytic models that can be applied to real, large-scale databases to improve and automate firm-level marketing decisions. In particular, analytics are used to improve decisions around product design, pricing, promotion/advertising, and digital and mobile channel management.

Introduces statistical modeling and coding techniques that help individuals manage the customer relationship from acquisition to development to retention. Special attention is directed to models that help firms appropriately value customers and target them with the right offer at the right time.

Blends marketing strategy, micro-economic theory, and data analytics to formulate actionable pricing strategies. The course combines cases and data analytics assignments to teach students how to design and execute pricing decisions and co-ordinate these decisions with other marketing decisions.

Introduces a theoretical and practical understanding of core artificial intelligence and machine learning concepts and techniques; and provide hands-on experience in applying these techniques to practical real-world business problems. Topics include hypothesis testing, multi-armed bandits, training and evaluation of machine learning models, and deep learning. Offered: Sp.

Projects and Datathons

We provide unique opportunities to students to engage and collaborate with leading analytics firms through research projects and datathons.

 

Datathon

Several self-formed, multidisciplinary teams from Foster and UW work on a company’s business problem and data in a competition setting.

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Analytics Insights Project

Engage with a team of 4-5 students and a Foster faculty mentor who will help you solve a real-world business problem using a combination of economics and machine learning techniques.

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Discover The Future

We are a multi-disciplinary research center committed to and focussed on consumer analytics using methods from computer science, economics and marketing.

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