MSc Fashion Forecasting and Data Analytics with Integrated International Pre Masters - 30-week course

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Tuition fee
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Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

UCA's new MSc degree in Fashion Forecasting and Data Analysis, at the Business School for the Creative Industries, will give you the expertise, tools and techniques to become an expert in fashion futures.

From governments to industry leaders, the ability to navigate and leverage change is a vital skill. This is no truer than in the fashion industry, an industry synonymous with rapid transformation. The skills and techniques you'll acquire in this course translate into a variety of fashion career fields including research and development, design and product management, marketing and communication, and strategy and leadership. You'll graduate with a versatile and valuable suite of fundamental knowledge and contemporary techniques.

On this course, you'll take a creative, exploratory, and open approach tethered by four pillars of concept development: Research, Analysis, Application and Communication. You will be grounded in the key subject theories and methodologies and utilise this foundational knowledge to investigate and develop emerging real-world insights. The units of study will provide breadth through general fashion business expertise for the learner to apply in their specialist field, complimented by subject-specific units to offer depth and immersion.

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The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs