
MSc in Marketing with an Emphasis in Analytics – San Antonio
The Marketing with an Emphasis in Analytics – San Antonio programme from Webster University can provide you with the tools and knowledge you need to excel in the field of marketing. We prepare students to solve complex marketing problems and make informed decisions by integrating marketing strategic thinking with data modeling and analysis.
Duration
2 to 3.5 years
Starting Date
January, August
Tuition Fee
$800 per credit
Location
San Antonio Campus & Online
About the program
With a curriculum emphasizing the application of data analytics to marketing strategy, you will be prepared to make impactful decisions that drive success. Our experienced faculty provide a supportive and challenging application-based learning environment where you can develop your personal and professional skills.
Key Facts
The Marketing with an Emphasis in Analytics – San Antonio programme from Webster University has a rich 20-year history. We recognize the growing importance of data analytics in the field of marketing and have responded by introducing a new Analytics emphasis, designed to meet the increasing demand for professionals with expertise in marketing analytics, which requires a deeper understanding than what is covered in the general MS in Marketing programme. With this new emphasis, we provide our students with the knowledge and skills necessary to excel in this dynamic and rapidly evolving field.
Webster University provides unique global experiences that will prepare you to lead in your community and around the world. Learn to address critical issues facing marketing experts, and leverage analytics and other tools to produce impactful marketing strategies.
As you earn your graduate marketing degree, you’ll build knowledge and skills in managing value creation by developing and evaluating marketing strategies and objectives to foster long-term success and promote meaningful relationships.
Courses Include
- Analytics Programming with RÂ
- Data VisualizationÂ
- Machine Learning for Predictive AnalyticsÂ
- Predictive AnalyticsÂ
- Integrated Business Processes and ERPÂ
- Managerial LeadershipÂ












