- Home
- Search
- Fashion and Textiles Design
- University of the Arts, London
- MSc Fashion Analytics and Forecasting
Course options
-
Qualification
MSc - Master of Science
-
Location
London College of Fashion
-
Study mode
Distance / Online
-
Start date
22-SEP-25
-
Duration
1 year
Course summary
This fully online course combines fashion business expertise with machine learning, forecasting and statistical data analysis. You will be part of an online community that benefits from immersive industry participation.
Course overview
The global fashion industry is a highly competitive market in which the consumer now demands sustainable, efficient, and inclusive business operations. External shocks create risk and opportunity within the industry so accelerating the need for digital innovation and e-commerce initiatives. The need to harness data to improve fashion business models is at its peak in an industry that has traditionally relied on intuition and creative direction for setting global trends. Data-driven insights and accurate forecasts are needed to support investment decisions, model demand for new products, technologies and business practices. As such, fashion businesses must develop a strategic response to continual global economic change, sustainability agendas and technological developments to retain their competitive advantage. Accordingly, there is a growing need for graduates who are competent and confident in skills of data analysis.
The course is delivered fully online. It is unique in LCF as the first of our taught Master’s courses to bring together the teaching and research expertise of all three schools. The Fashion Business School (FBS) leads the course with specialist units delivered by staff from School of Media and Communication (SMC) and School of Design and Technology (SDT). As an advanced signatory to the UN Principles of Responsible Management Education (PRME), FBS tailors its curriculum to meet the six principles of responsible management education. The curriculum emphasises the development of an understanding of the contemporary global fashion industry coupled with quantitative data literacy and data analytics in a world where unforeseen events have reinforced the importance of data-driven insights.
The course aims to provide you with a solid grounding in both theoretical and practical approaches to quantitative data analysis and visualisation within the wider disciplines of supply chain management, consumer insights, economics, and research methods as relevant to the contemporary global fashion industry. Our learning approaches encourage you to work autonomously and creatively whilst enabling you to develop confidence in becoming a reflective learner, strategic thinker, and effective decision-maker.
Modules
Tuition fees
- United States
- Afghanistan
- Albania
- Algeria
- Andorra
- Angola
- Antigua & Barbuda
- Argentina
- Armenia
- Australia
- Austria
- Azerbaijan
- Bahamas
- Bahrain
- Bangladesh
- Barbados
- Belarus
- Belgium
- Belize
- Benin
- Bhutan
- Bolivia
- Bosnia and Herzegovina
- Botswana
- Brazil
- Brunei
- Bulgaria
- Burkina Faso
- Burma
- Burundi
- Cabo Verde
- Cambodia
- Cameroon
- Canada
- Central African Republic
- Chad
- Chile
- China
- Colombia
- Comoros
- Congo
- Congo (Democratic Republic)
- Costa Rica
- Croatia
- Cuba
- Curacao
- Cyprus
- Czech Republic
- Denmark
- Djibouti
- Dominica
- Dominican Republic
- East Timor
- Ecuador
- Egypt
- El Salvador
- England
- Equatorial Guinea
- Eritrea
- Estonia
- Ethiopia
- Fiji
- Finland
- France
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Greece
- Grenada
- Guatemala
- Guinea
- Guinea-Bissau
- Guyana
- Haiti
- Honduras
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Iran
- Iraq
- Israel
- Italy
- Ivory Coast
- Jamaica
- Japan
- Jordan
- Kazakhstan
- Kenya
- Kiribati
- Korea DPR (North Korea)
- Kosovo
- Kuwait
- Kyrgyzstan
- Laos
- Latvia
- Lebanon
- Lesotho
- Liberia
- Libya
- Liechtenstein
- Lithuania
- Luxembourg
- Macedonia
- Madagascar
- Malawi
- Malaysia
- Maldives
- Mali
- Malta
- Marshall Islands
- Mauritania
- Mauritius
- Mexico
- Micronesia
- Moldova
- Monaco
- Mongolia
- Montenegro
- Morocco
- Mozambique
- Namibia
- Nauru
- Nepal
- Netherlands
- New Zealand
- Nicaragua
- Niger
- Nigeria
- Northern Ireland
- Norway
- Oman
- Pakistan
- Palau
- Palestinian Authority
- Panama
- Papua New Guinea
- Paraguay
- Peru
- Philippines
- Poland
- Portugal
- Puerto Rico
- Qatar
- Republic of Ireland
- Romania
- Russia
- Rwanda
- San Marino
- Sao Tome and Principe
- Saudi Arabia
- Scotland
- Senegal
- Serbia
- Seychelles
- Sierra Leone
- Singapore
- Slovakia
- Slovenia
- Solomon Islands
- Somalia
- South Africa
- South Korea
- South Sudan
- Spain
- Sri Lanka
- St Vincent
- St. Kitts & Nevis
- St. Lucia
- Sudan
- Suriname
- Swaziland
- Sweden
- Switzerland
- Syria
- Taiwan
- Tajikistan
- Tanzania
- Thailand
- Togo
- Tonga
- Trinidad & Tobago
- Tunisia
- Turkey
- Turkmenistan
- Tuvalu
- UAE
- Uganda
- Ukraine
- United Kingdom
- Uruguay
- Uzbekistan
- Vanuatu
- Vatican City
- Venezuela
- Vietnam
- Wales
- Western Samoa
- Yemen
- Zambia
- Zimbabwe
£ 22,860per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
-
University League Table
29th
-
Campus address
University of the Arts London, 272 High Holborn, London, London, WC1V 7EY, England
Subject rankings
-
Subject ranking
23rd out of 84 1
81st out of 117 4
25th out of 87 3
-
Entry standards
/ Max 239156 65%19th
-
Graduate prospects
/ Max 10065.0 65%36th
3 -
Student satisfaction
/ Max 43.04 76%67th
-
Entry standards
/ Max 227135 59%45th
-
Graduate prospects
/ Max 10075.0 75%88th
8 -
Student satisfaction
/ Max 43.13 78%21st
14 -
Entry standards
/ Max 204145 71%18th
-
Graduate prospects
/ Max 10078.0 78%40th
2 -
Student satisfaction
/ Max 42.83 71%80th
13