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- Computer Science
- Imperial College London
- Transport with Data Science MSc
Course options
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Qualification
MSc - Master of Science
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Location
South Kensington Campus
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Study mode
Full time
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Start date
27-SEP-25
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Duration
1 year
Course summary
Course overview
Understand the fundamental concepts and techniques for the planning, design, management and delivery of transport infrastructure on this one-year course.
You will develop an understanding of machine learning and statistical optimistation to solve complex engineering design problems, working effectively as a group.
You'll learn how to evaluate transport projects and policies, taking into account the political, social, environmental, commercial and financial issues involved.
Utilising data science and optimisation skills, you will conduct a piece of independent research that demonstrates a contribution to knowledge in a research area of interest.
Further develop your understanding on road and rail transport in industrialised countries. You'll also consider contexts in less industrialised countries where transport problems persist.
This course will equip you for further PhD research in this specialist area, or a future career in transport planning, engineering, operations, management, policy or research.
Modules
Tuition fees
- Hong Kong
- 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
- 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
- United States
- Uruguay
- Uzbekistan
- Vanuatu
- Vatican City
- Venezuela
- Vietnam
- Wales
- Western Samoa
- Yemen
- Zambia
- Zimbabwe
£ 42,900per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
5th
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Campus address
Imperial College London, South Kensington Campus, Kensington and Chelsea, London, SW7 2AZ, England
Subject rankings
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Subject ranking
3rd out of 117
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Entry standards
/ Max 227227 100%1st
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Graduate prospects
/ Max 10097.0 97%3rd
2 -
Student satisfaction
/ Max 43.16 79%16th
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