Course options
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Qualification
Bachelor of Science (with Honours) - BSc (Hons)
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Location
University of Greenwich (Greenwich Campus)
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Study mode
Full time
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Start date
14-SEP-26
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Duration
3 Years
Course summary
Unlock your future with a degree in Computing (Data Science). Master data science, machine learning, and AI to tackle real-world challenges on a global scale.
Our degree in Computing (Data Science) is designed to provide students with a comprehensive foundation in data science, information retrieval, and machine learning. It will equip you with the skills to apply data science and AI theories, along with data handling techniques, to analyse and solve real-world problems. By integrating computing, analytical techniques, and problem-solving skills, you will be prepared for a diverse range of employment opportunities.
Throughout this course, you will gain a deep understanding of the core principles of computing and develop the ability to critically apply this knowledge within a multinational context. The curriculum is structured to ensure that you are well-versed in the latest advancements and applications in the field of Data Science.
Indicative modules also cover key areas such as Data Analytics and Visualisation, AI concepts, Algorithms and Data Structures. These subjects are designed to familiarise you with the main concepts, theoretical background, and numerous applications in science and engineering. You will explore a wide range of machine learning approaches and algorithms, evaluating and comparing their performances and suitability for various tasks and data types. Special attention is given to supervised and unsupervised algorithms and their applications in real-world environments, helping you identify and evaluate optimal approaches.
By the end of this course, you will be equipped with the skills to analyse complex data, make informed decisions, and contribute to innovative solutions in a global setting. Whether you aim to start a new career, advance in your current role, or enhance your analytical capabilities, our degree in Computing (Data Science) offers the knowledge and expertise needed to succeed in the dynamic field of Data Science.
What you should know about this course
- Study a course that focuses on solving real-world problems using data-driven techniques
- Gain a solid foundation in data science, machine learning and AI
- Equip yourself with the expertise needed for diverse career paths
- Apply computing knowledge in a multinational environment.
Our degree in Computing (Data Science) is designed to provide students with a comprehensive foundation in data science, information retrieval, and machine learning. It will equip you with the skills to apply data science and AI theories, along with data handling techniques, to analyse and solve real-world problems. By integrating computing, analytical techniques, and problem-solving skills, you will be prepared for a diverse range of employment opportunities.
Throughout this course, you will gain a deep understanding of the core principles of computing and develop the ability to critically apply this knowledge within a multinational context. The curriculum is structured to ensure that you are well-versed in the latest advancements and applications in the field of Data Science.
Indicative modules also cover key areas such as Data Analytics and Visualisation, AI concepts, Algorithms and Data Structures. These subjects are designed to familiarise you with the main concepts, theoretical background, and numerous applications in science and engineering. You will explore a wide range of machine learning approaches and algorithms, evaluating and comparing their performances and suitability for various tasks and data types. Special attention is given to supervised and unsupervised algorithms and their applications in real-world environments, helping you identify and evaluate optimal approaches.
By the end of this course, you will be equipped with the skills to analyse complex data, make informed decisions, and contribute to innovative solutions in a global setting. Whether you aim to start a new career, advance in your current role, or enhance your analytical capabilities, our degree in Computing (Data Science) offers the knowledge and expertise needed to succeed in the dynamic field of Data Science.
What you should know about this course
- Study a course that focuses on solving real-world problems using data-driven techniques
- Gain a solid foundation in data science, machine learning and AI
- Equip yourself with the expertise needed for diverse career paths
- Apply computing knowledge in a multinational environment.
Application deadline
14/01/2026
Tuition fees
Students living in United States
(International 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
- Uruguay
- Uzbekistan
- Vanuatu
- Vatican City
- Venezuela
- Vietnam
- Wales
- Western Samoa
- Yemen
- Zambia
- Zimbabwe
£ 17,975per 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 of Greenwich
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University League Table
106th
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Campus address
Greenwich Campus, Old Royal Naval College, Park Row, Greenwich, Greater London, SE10 9LS, United Kingdom
The university offers an EU bursary, an International Scholarships Award and an International Hardship Fund for international applicants.
Its London and Kent campuses are the perfect blend of old and new, with modern teaching spaces set within splendid historic buildings and grounds.
London is often named the best student city in the world for its unforgettable experiences.
Subject rankings
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Subject ranking
88th out of 117 9
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Entry standards
/ Max 223121 54%77th
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Graduate prospects
/ Max 10068.0 68%97th
3 -
Student satisfaction
/ Max 43.05 76%53rd
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