Skip navigation
Data Analytics for Retail at Fashion Retail Academy - UCAS

Fashion Retail Academy

Degree level: Undergraduate
Awarded by: Falmouth University

Data Analytics for Retail

Course options

2025 - 2026
Apply

Course summary

Data analytics is central to the fashion industry, and effective analysis affects and benefits every area of a business. Data analysts create and analyse data that allows businesses to optimise their performance, meet customer demands, develop creative solutions to business challenges and focus on growth. Our three-year BSc (Hons) Data Analytics for Retail undergraduate degree will teach you the essential data skills and knowledge you need to make a difference in the industry. You'll explore the four key categories of analytics (descriptive, diagnostic, predictive analytics and prescriptive), and discover how analytics can be used in trend forecasting, sustainability, buying and more. This course has been created in collaboration with industry to give students the most up-to-date knowledge and skills, and there is a huge demand and excellent opportunity for progression in all fashion retail industry sectors for those that are confident with data gathering and analysis. Through lectures, seminars, tutorials, workshops and projects, you’ll develop the essential technical knowledge and analytical and communication skills needed to succeed as a fashion-focused data analyst. You will:

  • Explore the core principles of data analytics and the fast-evolving ethical and legal requirements effecting the fashion industry
  • Be assigned a personal industry mentor to work with throughout the course
  • Learn about data gathering, management, legislation, and ethical practice
  • Examine how data analytics applies across the industry, from trend forecasting to global markets
  • Work on live projects set by our brand partners and complete work placements
  • Learn how to adopt an analytical mindset and create innovative solutions
  • Complete a self-directed Personal Professional Project that allows you to demonstrate your skills and knowledge
Industry Enrichment We work with over 140 brands at the FRA. Our courses include practical, industry-focused content taught by some of fashion’s biggest names to give you valuable skills and work experience. Industry enrichment opportunities include: Industry mentorship scheme: Work with your own dedicated industry mentor throughout your course. You’ll meet a minimum of once a term, and they’ll be there to support and guide you. Work placements: You’ll have a work placement with one of our brand partners each year. In the first year of your undergraduate degree, you’ll complete a three-week work placement. In your second year, your work placement will be either 3 weeks full time or two days a week over 3 months. Talks, masterclasses and live industry projects: Attend talks and masterclasses led by some of the top names in fashion and retail, and complete projects set by industry partners who will give you feedback and advice.

Modules

Throughout the course you’ll develop the technical, analytical and creative skills needed for a career in data analytics. You’ll learn through a mix of classes and lectures, individual study, creative projects and industry enrichment that is integrated throughout the course in the form of masterclasses, live projects, mentorship schemes and work placements. Year One In your first year of study, you’ll look at the role of an analyst and the breadth of application across the fashion industry. You will learn the fundamentals of data, analytics, explore the ethics and regulations related to use of data. Learn how analysts work with the creative and production processes. You’ll also explore how analytics can be used for trend forecasting, buying, consumer targeting and other sectors of industry, as well as learn how to use the software required by industry. Learn how to interpret trends and analyse your findings to highlight new opportunities for businesses. Modules:

  • Study & Research Skills - 20 Credits
  • Fundamentals of Data Analytics - 40 Credits
  • Database Marketing - 20 Credits
  • Market Research - 40 Credits
Year Two In your second year of study, you’ll explore the value of big data and the working relationship with emerging technologies to effectively harness and analyse big data for businesses. You’ll undertake an individual project that allows you to showcase your professional knowledge and skills. For the live project you’ll work with a brand, focusing on branding and communication strategies. Modules:
  • Consumer & Data Insights - 20 Credits
  • Data Management & Visualisation - 40 Credits
  • Consumer Behaviour - 20 Credits
  • Big Data & Emerging Technologies in Business - 40 Credits
Year 3 In your final year of study, you’ll focus on the role of the consumer and their influence on the retail landscape, as well as looking at global and national markets. You’ll develop your professional practice and complete a live industry project with a brand for progression into a data analytics role upon graduation. Modules:
  • Global Markets - 20 Credits
  • Personal Professional Project - 40 Credits
  • Entrepreneurial Practice - 20 Credits
- Live Project & Industry Experience: Data Analytics - 40 Credits

Assessment method

This course is assessed through coursework and exams. The assessment tools include, but aren’t limited to, professionally relevant projects, essays and presentations. You will complete work placements as part of the course. 20 credit modules: total study time 200 hours, taught: 50 hours 40 credit modules: total study time 400 hours, taught: 100 hours *This course is subject to validation. Modules may change during the approvals process.

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
DAR1
Institution code:
F70
Campus name:
Fashion Retail Academy
Campus code:
F

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

Unfortunately, we are unable to accept applications from international (non-EU) applicants who require a Tier 4 Student Visa.

Entry requirements

Qualification requirements

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

EU £9250 Year 1
England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Each academic year, you might need to pay one-off costs between £50 and £200 for day trips, final portfolios or shows etc. You might also need to pay up to £300 a year for optional study trips and placements. (Costs are approximate)
Data Analytics for Retail at Fashion Retail Academy - UCAS