Applied Artificial Intelligence

Basic Information

Course ID
ec388d88-429c-4da9-8f7c-734f489f65fc
Option ID
648ecf58-c07e-4814-8cf0-7d37ed6507db
Provider
University of Westminster, London
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/21/2026, 1:16:34 PM
Updated
2/21/2026, 1:16:34 PM

Other Options for this Course

Option ID Added
a298c289-7ff2-47ee-b0b4-71d81c494891 2/21/2026 View

Listing Data (Raw)

{
  "id": "648ecf58-c07e-4814-8cf0-7d37ed6507db",
  "duration": {
    "quantity": 2,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "e46e8924-52c6-5663-cc12-7852413ea3b4",
    "url": null,
    "name": "115 New Cavendish Street",
    "ukprn": null,
    "address": {
      "line1": "115 New Cavendish Street",
      "line2": "",
      "line3": "",
      "line4": "Westminster",
      "region": {
        "id": "42",
        "caption": "Greater London",
        "mappedCaption": "Greater London"
      },
      "country": {
        "id": "101",
        "caption": "England",
        "mappedCaption": "England"
      },
      "latitude": 51.520832329,
      "postcode": "W1W 6UW",
      "longitude": -0.1401320548
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 51.520832329,
      "longitude": -0.1401320548
    },
    "tefCodeType": null,
    "locationCode": "C",
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": null,
    "geoLocationString": "51.520832329,-0.1401320548"
  },
  "startDate": {
    "date": "09/2026",
    "nonSpecific": false
  },
  "studyMode": {
    "id": "11",
    "caption": "Part-time day",
    "mappedCaption": "Part-time",
    "excludedSchemesForApplication": [
      "ucas"
    ]
  },
  "durationRange": null,
  "outcomeQualification": {
    "caption": "MSc"
  },
  "academicEntryRequirements": null
}

Detail API Response (Raw)

{
  "course": {
    "id": "ec388d88-429c-4da9-8f7c-734f489f65fc",
    "cpdFlag": false,
    "options": [
      {
        "id": "a298c289-7ff2-47ee-b0b4-71d81c494891",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": null,
        "deadline": null,
        "duration": {
          "quantity": 1,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "e46e8924-52c6-5663-cc12-7852413ea3b4",
          "url": null,
          "name": "115 New Cavendish Street",
          "ukprn": null,
          "address": {
            "line1": "115 New Cavendish Street",
            "line2": "",
            "line3": "",
            "line4": "Westminster",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.520832329,
            "postcode": "W1W 6UW",
            "longitude": -0.1401320548
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.520832329,
            "longitude": -0.1401320548
          },
          "tefCodeType": null,
          "locationCode": "C",
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.520832329,-0.1401320548&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=eNuiJMN8UmoJ0nSWuWf4_u5tSP0=",
          "googleMapsParams": "51.520832329,-0.1401320548",
          "locationCategory": null,
          "geoLocationString": "51.520832329,-0.1401320548"
        },
        "startDate": {
          "date": "09/2026",
          "nonSpecific": false
        },
        "studyMode": {
          "id": "3",
          "caption": "Full-time",
          "mappedCaption": "Full-time",
          "excludedSchemesForApplication": []
        },
        "applyCycle": "2026",
        "courseFees": [],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": "https://www.westminster.ac.uk/computer-science-and-engineering-courses/2025-26/september/full-time/applied-artificial-intelligence-msc",
        "assessmentMethods": null,
        "entryRequirements": "A minimum of a lower second class honours degree (2:2) in a science, mathematics,  computer science, or engineering discipline, with some exposure to the use of IT. Applications will also be considered from individuals who do not have a first degree in these subjects but have gained significant industry experience in data science or software development.\n\nIf your first language is not English you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.",
        "internalReference": null,
        "providerCourseUrl": "https://www.westminster.ac.uk/computer-science-and-engineering-courses/2025-26/september/full-time/applied-artificial-intelligence-msc",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "158",
          "caption": "MSc",
          "mappedCaption": "Masters degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": null,
        "academicEntryRequirements": null,
        "additionalEntryRequirements": [],
        "englishLanguageEntryRequirements": [],
        "minimumAcademicEntryRequirements": null,
        "subsequentYearsEntryRequirements": null,
        "amsApplicationConfigurationOptions": {
          "useAscii": false,
          "hasNoVacancies": "False",
          "customQuestions": [],
          "vacancyStatuses": [
            {
              "status": null,
              "domicile": "eu",
              "hasVacancies": true,
              "flattenedVacancy": "eu"
            },
            {
              "status": null,
              "domicile": "wales",
              "hasVacancies": true,
              "flattenedVacancy": "wales"
            },
            {
              "status": null,
              "domicile": "eng",
              "hasVacancies": true,
              "flattenedVacancy": "eng"
            },
            {
              "status": null,
              "domicile": "int",
              "hasVacancies": true,
              "flattenedVacancy": "int"
            },
            {
              "status": null,
              "domicile": "scot",
              "hasVacancies": true,
              "flattenedVacancy": "scot"
            },
            {
              "status": null,
              "domicile": "ni",
              "hasVacancies": true,
              "flattenedVacancy": "ni"
            },
            {
              "status": null,
              "domicile": "roi",
              "hasVacancies": true,
              "flattenedVacancy": "roi"
            }
          ],
          "hasRestrictedVacancies": "False",
          "hasRestrictedEligibility": false,
          "restrictedEligibilityUrl": null,
          "restrictedEligibilityInfo": null,
          "useEnhancedCriminalConvictionCheck": false,
          "notAcceptingInternationalApplications": "False"
        },
        "englishLanguageEntryRequirementInformation": null
      },
      {
        "id": "648ecf58-c07e-4814-8cf0-7d37ed6507db",
        "status": {
          "published": true,
          "availableForApplication": true,
          "applicationStatusSummary": "Please speak to the provider to make an application",
          "acceptingApplicationsMessage": null,
          "notAcceptingApplicationsMessage": null
        },
        "cycleId": null,
        "modules": null,
        "deadline": null,
        "duration": {
          "quantity": 2,
          "durationType": {
            "id": "4",
            "caption": "Years",
            "mappedCaption": null
          }
        },
        "features": {
          "accelerated": false
        },
        "location": {
          "id": "e46e8924-52c6-5663-cc12-7852413ea3b4",
          "url": null,
          "name": "115 New Cavendish Street",
          "ukprn": null,
          "address": {
            "line1": "115 New Cavendish Street",
            "line2": "",
            "line3": "",
            "line4": "Westminster",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.520832329,
            "postcode": "W1W 6UW",
            "longitude": -0.1401320548
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.520832329,
            "longitude": -0.1401320548
          },
          "tefCodeType": null,
          "locationCode": "C",
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.520832329,-0.1401320548&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=eNuiJMN8UmoJ0nSWuWf4_u5tSP0=",
          "googleMapsParams": "51.520832329,-0.1401320548",
          "locationCategory": null,
          "geoLocationString": "51.520832329,-0.1401320548"
        },
        "startDate": {
          "date": "09/2026",
          "nonSpecific": false
        },
        "studyMode": {
          "id": "11",
          "caption": "Part-time day",
          "mappedCaption": "Part-time",
          "excludedSchemesForApplication": [
            "ucas"
          ]
        },
        "applyCycle": "2026",
        "courseFees": [],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": "https://www.westminster.ac.uk/computer-science-and-engineering-courses/2025-26/september/full-time/applied-artificial-intelligence-msc",
        "assessmentMethods": null,
        "entryRequirements": "A minimum of a lower second class honours degree (2:2) in a science, mathematics,  computer science, or engineering discipline, with some exposure to the use of IT. Applications will also be considered from individuals who do not have a first degree in these subjects but have gained significant industry experience in data science or software development.\n\nIf your first language is not English you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.",
        "internalReference": null,
        "providerCourseUrl": "https://www.westminster.ac.uk/computer-science-and-engineering-courses/2025-26/september/full-time/applied-artificial-intelligence-msc",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "158",
          "caption": "MSc",
          "mappedCaption": "Masters degrees"
        },
        "deferredEntryDisallowed": false,
        "additionalFeeInformation": null,
        "academicEntryRequirements": null,
        "additionalEntryRequirements": [],
        "englishLanguageEntryRequirements": [],
        "minimumAcademicEntryRequirements": null,
        "subsequentYearsEntryRequirements": null,
        "amsApplicationConfigurationOptions": {
          "useAscii": false,
          "hasNoVacancies": "False",
          "customQuestions": [],
          "vacancyStatuses": [
            {
              "status": null,
              "domicile": "eu",
              "hasVacancies": true,
              "flattenedVacancy": "eu"
            },
            {
              "status": null,
              "domicile": "wales",
              "hasVacancies": true,
              "flattenedVacancy": "wales"
            },
            {
              "status": null,
              "domicile": "eng",
              "hasVacancies": true,
              "flattenedVacancy": "eng"
            },
            {
              "status": null,
              "domicile": "int",
              "hasVacancies": true,
              "flattenedVacancy": "int"
            },
            {
              "status": null,
              "domicile": "scot",
              "hasVacancies": true,
              "flattenedVacancy": "scot"
            },
            {
              "status": null,
              "domicile": "ni",
              "hasVacancies": true,
              "flattenedVacancy": "ni"
            },
            {
              "status": null,
              "domicile": "roi",
              "hasVacancies": true,
              "flattenedVacancy": "roi"
            }
          ],
          "hasRestrictedVacancies": "False",
          "hasRestrictedEligibility": false,
          "restrictedEligibilityUrl": null,
          "restrictedEligibilityInfo": null,
          "useEnhancedCriminalConvictionCheck": false,
          "notAcceptingInternationalApplications": "False"
        },
        "englishLanguageEntryRequirementInformation": null
      }
    ],
    "suggest": "Applied Artificial Intelligence. University of Westminster, London. Artificial intelligence",
    "summary": "The Applied Artificial Intelligence MSc will equip you with essential techniques and practical skills, preparing you to tackle real-world challenges and contribute to the growing field of Artificial Intelligence.\n\nYou’ll gain a comprehensive understanding of AI, covering core concepts such as search strategies and reasoning. Thereafter, you’ll progress to advanced topics like machine learning and deep learning, which power cutting-edge technologies, including Large Language Models (LLMs). \n\nThe course is ideal for IT and computing graduates who wish to expand their knowledge and skills in Artificial Intelligence. It also applies to professionals seeking to upskill in the latest industry developments or transition into a new field. \n\nHands-on learning is central to this course, ensuring you gain practical experience with industry-standard software and tools. You'll develop expertise in programming languages such as Python, essential AI libraries and development environments. \n\nThrough optional modules, you'll specialise in areas such as Applied Computer Vision or Big Data and Cloud Computing, enhancing your career prospects in diverse AI-driven industries.  \n\nThe MSc Applied AI Project module allows you to apply what you have learnt to a real-world problem, conduct independent research and develop an AI solution under the guidance of experienced staff. This project will solidify your understanding of AI and enhance your research and problem-solving abilities. \n\nTeaching methods include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive coursework, class presentations, group research work, and industry-standard software.  ",
    "atasFlag": false,
    "contacts": [
      {
        "id": "0ad2bf41-bb38-0b1b-ec75-acf0845530a7",
        "fax": "",
        "email": "course-enquiries@westminster.ac.uk",
        "phone": "+44 (0)207 915 5511",
        "title": "Course Enquiries",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "eb6f0b7c-3289-4cc0-81c1-2c314feacb47",
        "fax": null,
        "email": "clearing@westminster.ac.uk",
        "phone": "0800 027 9777",
        "title": "Clearing Enquiry service",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": "https://www.westminster.ac.uk/clearing",
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": "",
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "0ad2bf41-bb38-0b1b-ec75-acf0845530a7",
      "name": "University of Westminster, London",
      "ukprn": 10007165,
      "address": {
        "line1": "32-38 Wells Street",
        "line2": "",
        "line3": "",
        "line4": "London",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.5177,
        "postcode": "W1T 3UW",
        "longitude": -0.1383
      },
      "aliases": [],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/0ad2bf41-bb38-0b1b-ec75-acf0845530a7",
      "aliasName": "University of Westminster, London",
      "websiteUrl": "www.westminster.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "University of Westminster, London",
      "providerUrls": [],
      "imageLocation": "silver silver silver-01.png",
      "institutionCode": "W50",
      "providerShortName": "University of Westminster, London",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "WEST",
      "aliasNameWithoutApostrophe": "University of Westminster, London"
    },
    "subjects": [
      {
        "id": "1038",
        "caption": "Artificial intelligence",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "098a549a-8c24-4cf9-bfa8-8abb5101257e",
      "name": "School of Computer Science and Engineering"
    },
    "hecosCodes": [
      {
        "hecosCode": {
          "code": "100366",
          "caption": "computer science",
          "refDataId": "10257"
        },
        "percentageOfCourse": 100
      }
    ],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "ec388d88-429c-4da9-8f7c-734f489f65fc-2026",
    "courseTitle": "Applied Artificial Intelligence",
    "facultyCode": null,
    "routingData": {
      "scheme": {
        "id": "none",
        "caption": "Direct application only",
        "mappedCaption": null
      },
      "destination": {
        "id": "pg",
        "caption": "Postgraduate",
        "mappedCaption": null
      }
    },
    "availableEnd": "9999-12-31T23:59:59.9999999",
    "englishTitle": "",
    "publishStart": "0001-01-01T00:00:00",
    "visibleStart": "2025-04-29T08:00:00",
    "taughtInWelsh": false,
    "ucasApplyData": null,
    "academicYearId": "2026",
    "availableStart": "0001-01-01T00:00:00",
    "awardingBodies": [
      {
        "id": "1094",
        "caption": "University of Westminster",
        "mappedCaption": null
      }
    ],
    "applicationCode": null,
    "courseTitleSort": "Applied Artificial Intelligence",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": null,
    "internationalInformation": null,
    "courseTitleWithoutApostrophe": "Applied Artificial Intelligence",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 13,
  "academicYearsInformation": {
    "2026": 2
  }
}
← Back to Courses