ENMGT 5500
Last Updated
- Schedule of Classes - December 2, 2024 7:38PM EST
- Course Catalog - December 2, 2024 7:07PM EST
Classes
ENMGT 5500
Course Description
Course information provided by the Courses of Study 2024-2025.
This course gives engineering management students a broad understanding of the digital marketing landscape combined with specific technical and analytical skills used in advertising and marketing roles such as product managers, product marketers, account executives, marketing managers, marketing engineers and marketing scientists. This will include hands-on work with search engine marketing/optimization, social media and video marketing, creative testing and measurement. Students will apply analytical applications to learn core technical marketing concepts and methods. Students will also work with various mainstream analytics platforms and perform data manipulation and analysis in Python.
When Offered Spring.
Outcomes
- Build end-to-end multi-channel digital marketing strategies from high level planning down to specific implementation.
- Build search, social media and video advertising campaigns.
- Analyze and optimize performance within and across advertising channels.
- Develop search engine, web analytics and conversion funnel optimizations.
- Apply data analytics methods to understand and forecast digital marketing performance.
Regular Academic Session.
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- F
- Jan 21 - May 6, 2025
Instructors
Yu, R
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: on-campus Engineering Management students. Recommended prerequisite: Intro to Python and Data Analytics or equivalent.
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TBA
- Jan 21 - May 6, 2025
Instructors
Yu, R
-
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Enrollment limited to: distance learning Engineering Management students. Recommended prerequisite: Intro to Python and Data Analytics or equivalent.
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