Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year
In an era marked by rapid technological advancements, the fashion industry is undergoing a transformative shift, moving beyond traditional reliance on intuition and creativity. Today, the strategic integration of data-driven insights, machine learning algorithms and AI applications are reshaping the business of style and commerce globally. Modern fashion companies are becoming data-focused, using insights for a sustainable future. This has created a rising demand for professionals who grasp the power of fashion data and navigate through the complex interplay of economic forces, consumer behaviours and global trends.
The MSc Fashion Analytics and Forecasting course is situated at the intersection of data analytics, forecasting, predictions using machine learning and the dynamic realm of fashion business. This course combines creativity with analytics, offering a unique opportunity to explore how these data driven technologies empower fashion professionals to make informed decisions, model demand and revolutionise traditional business models.
Delivered online, the course utilises a blend of pre-recorded content, self-guided learning activities and live, tutor-led sessions. There is emphasis on learning and practicing analytics using coding and software tools while developing a critical understanding of the complex business of fashion. Graduates develop practical skill sets that prepare them for careers in analytics, core fashion industry roles (with extended skills), strategic and leadership roles, consulting, technology and research futures.
As an advanced signatory to the UN Principles of Responsible Management Education (PRME), Fashion Business School (FBS) ensures that our curriculum aligns with the six principles of responsible management education. We are dedicated to preparing graduates who are not only proficient in fashion data analytics and forecasting but also equipped to meet the challenges of the contemporary global fashion industry responsibly and sustainably.
The course team seeks to recruit students who can demonstrate:
We are in discussion with several of our current industry partners as collaborators and providers of live industry projects for this course. These partnerships are currently pending validation and legal approval.
"This course is going to provide us with future industry leaders capable of both staying ahead of fashion trends but also anticipating changing customer behaviour and how to react fast.”
Nishi Overton (Head of Marketing and Scaling at Amazon)
“Data analytics is crucial in retail. The technical proficiency this course teaches is a great opportunity for someone that has a retail background and wants to expand their skill set to make better insights with data.”
Rosie Hood (PhD, Senior Data Scientist at EDITED)
"Talented analysts are a sought after resource in retail. One of the main challenges is finding analysts who are skilled at the quantitative elements but are also tuned into the bigger picture of the business needs and the impact their number crunching has as part of a profit making venture. So, the idea of this (course) whereby you’re taking a business student and teaching the ways of data and analytics, I think that would equip your students with quite a valuable skillset to get themselves hired.”
Matthew Walsh (Director of Data and Retail at IMRG)
Graduate Futures provides a comprehensive career management service supporting our students to become informed and self-reliant individuals able to plan and manage their own careers.
Many of our alumni are now impressive, leading industry figures.
This unit builds the foundation of fashion business analytics, as an entry point into the course's advanced analytics journey. You will explore the role of analytics in fashion business, covering data structures and analytics techniques. You will learn statistical concepts, data science mathematics and essential coding skills. You will develop skills in data wrangling, manipulation, visualisation and be able to generate insights from raw data.
This unit immerses you in the intricacies of consumer dynamics within the global fashion landscape. You will be introduced to the principles of communication with diverse consumer audiences and the role of data in fashion communication. This unit empowers you to decipher what data reveals about the fashion consumer, offering insights into their preferences and trends. You will develop essential skills in storytelling, enabling you to craft compelling written and visual narratives that resonate with diverse global fashion audiences.
This unit examines the concepts that underpin the use of data in effective product management by critically analysing fashion supply chain and product management processes and practices. It evaluates the field within the context of fashion business models, emerging climate and social justice themes and data driven intelligence.
This unit supports the development of your MSc Master’s project. You will develop skills in framing research problems using diverse datasets from the fashion industry. You will explore various research designs and learn the art of conducting various statistical tests to facilitate your investigations. This unit provides essential univariate and multivariate forecasting skills for navigating the dynamic landscape of advanced research in the fashion business.
This unit offers a holistic journey through the fashion and technology landscape using machine learning, computer vision, neural nets, and artificial intelligence. You will engage with various algorithms, including classification, regression, clustering, prediction, product recommendation, and optimisation, within the context of the fashion business.
In block 2, students will have an opportunity to take an elective unit. Individual unit descriptors can be found in the Electives Handbook.
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