DIGITAL MARKETING ANALYTICS
Introduces business analytic techniques applied in the context of digital marketing. Includes approaches to design, run, evaluate, and improve online marketing tactics in order to meet specific business objectives such as customer acquisition. Covers digital analytics methods and execution of marketing tactics with data-driven techniques. Emphasizes the implementation of analytic skills on practical problems.
Prerequisites & course information
Requisites: MARKETNG 300 and GEN BUS 306 or declared in the Business Exchange program Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Develop an understanding of digital marketing tools and their applications including but not limited to targeted advertising, social media marketing, and search engine advertising. Audience: Undergraduate 2. Identify and apply analytical methods of evaluation including data visualization, experimental design, regression analysis, factor analysis, and machine learning methods. Audience: Undergraduate 3. Gather and analyze data for a product category/brand from a variety of digital sources to evaluate the effectiveness of digital marketing approaches. Audience: Undergraduate Learning Outcomes: 1. Develop an understanding of digital marketing tools and their applications including but not limited to targeted advertising, social media marketing, and search engine advertising. Audience: Undergraduate 2. Identify and apply analytical methods of evaluation including data visualization, experimental design, regression analysis, factor analysis, and machine learning methods. Audience: Undergraduate 3. Gather and analyze data for a product category/brand from a variety of digital sources to evaluate the effectiveness of digital marketing approaches. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027