Comprehensive education programs combining fashion expertise with data science and AI technology
Master data collection, analysis, and visualization techniques specifically designed for fashion industry applications.
Learn to implement AI solutions, chatbots, and predictive models for fashion marketing and consumer insights.
Combine traditional marketing principles with modern digital strategies and consumer behavior analysis.
Access course materials, lecture recordings, and additional resources here.
FML 301
Introduction to data analytics in the fashion industry. Students learn Python programming, data manipulation with Pandas, and basic statistical analysis. Covers web scraping techniques for fashion e-commerce platforms and social media data collection.
FML 401
Advanced course on designing and implementing AI-powered chatbots for fashion retail. Students work with LLM APIs, learn prompt engineering, and develop conversational AI systems that enhance customer experience and drive sales.
FML 302
Comprehensive study of social media analytics in fashion marketing. Students analyze Instagram, TikTok, and other platforms to understand engagement patterns, influencer impact, and content strategy effectiveness using advanced statistical methods.
FML 402
Apply machine learning algorithms to fashion marketing challenges. Topics include customer segmentation, recommendation systems, demand forecasting, and price optimization. Hands-on experience with scikit-learn, XGBoost, and deep learning frameworks.
FML 303
Explore psychological and behavioral aspects of fashion consumption in digital environments. Combines theoretical frameworks with empirical research methods including surveys, experiments, and structural equation modeling (SEM).
FML 499
Final integrative project where students work with real fashion companies to solve actual business challenges. Projects combine research, data analysis, and strategic recommendations. Culminates in presentation to industry partners.