Applied Statistical Modelling & Health Informatics

Basic Information

Course ID
e411a126-4b2a-4149-928c-34c71a6029fe
Option ID
cbfb563e-9a96-4033-9d15-619f977530d9
Provider
King's College London, University of London
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/21/2026, 1:32:11 PM
Updated
4/10/2026, 12:05:30 PM

Other Options for this Course

Option ID Added
52c6310a-3f9f-426b-80e2-894b43d3d3f3 2/21/2026 View
709f130d-c3f1-4eec-8f8e-e2b05c2c3e92 2/21/2026 View
ed96fc62-ddec-4f70-86bd-d4a0458166af 2/21/2026 View

Listing Data (Raw)

{
  "id": "cbfb563e-9a96-4033-9d15-619f977530d9",
  "duration": {
    "quantity": 1,
    "durationType": {
      "id": "4",
      "caption": "Years",
      "mappedCaption": null
    }
  },
  "features": {
    "accelerated": false
  },
  "location": {
    "id": "3b09e08f-0db3-8c6f-3147-4bd0764e6ac0",
    "url": null,
    "name": "Denmark Hill Campus",
    "ukprn": null,
    "address": {
      "line1": "Health Service and Population Research Department, Institute of Psychiatry",
      "line2": "De Crespigny Park, Denmark Hill",
      "line3": "Southwark",
      "line4": "London",
      "region": {
        "id": "42",
        "caption": "Greater London",
        "mappedCaption": "Greater London"
      },
      "country": {
        "id": "101",
        "caption": "England",
        "mappedCaption": "England"
      },
      "latitude": 51.4698594901,
      "postcode": "SE5 8AF",
      "longitude": -0.0890468113
    },
    "isDefault": false,
    "geoLocation": {
      "latitude": 51.4698594901,
      "longitude": -0.0890468113
    },
    "tefCodeType": null,
    "locationCode": null,
    "googleMapsUrl": null,
    "googleMapsParams": null,
    "locationCategory": null,
    "geoLocationString": "51.4698594901,-0.0890468113"
  },
  "startDate": {
    "date": "09/2026",
    "nonSpecific": false
  },
  "studyMode": {
    "id": "3",
    "caption": "Full-time",
    "mappedCaption": "Full-time",
    "excludedSchemesForApplication": []
  },
  "durationRange": null,
  "outcomeQualification": {
    "caption": "Postgraduate Certificate - PgCert"
  },
  "academicEntryRequirements": null
}

Detail API Response (Raw)

{
  "course": {
    "id": "e411a126-4b2a-4149-928c-34c71a6029fe",
    "cpdFlag": false,
    "options": [
      {
        "id": "ed96fc62-ddec-4f70-86bd-d4a0458166af",
        "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": "3b09e08f-0db3-8c6f-3147-4bd0764e6ac0",
          "url": null,
          "name": "Denmark Hill Campus",
          "ukprn": null,
          "address": {
            "line1": "Health Service and Population Research Department, Institute of Psychiatry",
            "line2": "De Crespigny Park, Denmark Hill",
            "line3": "Southwark",
            "line4": "London",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.4698594901,
            "postcode": "SE5 8AF",
            "longitude": -0.0890468113
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.4698594901,
            "longitude": -0.0890468113
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.4698594901,-0.0890468113&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=og_Vbd7JEjncWE6EFd5pVw0fLM4=",
          "googleMapsParams": "51.4698594901,-0.0890468113",
          "locationCategory": null,
          "geoLocationString": "51.4698594901,-0.0890468113"
        },
        "startDate": {
          "date": "09/2026",
          "nonSpecific": false
        },
        "studyMode": {
          "id": "9",
          "caption": "Part-time",
          "mappedCaption": "Part-time",
          "excludedSchemesForApplication": [
            "ucas"
          ]
        },
        "applyCycle": "2026",
        "courseFees": [],
        "courseType": null,
        "entryPoints": [],
        "durationRange": {
          "max": null,
          "min": null
        },
        "admissionTests": [],
        "subjectOptions": [],
        "useDefaultFees": false,
        "providerApplyUrl": null,
        "assessmentMethods": null,
        "entryRequirements": "A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.\n\nCandidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.",
        "internalReference": null,
        "providerCourseUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics",
        "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": "709f130d-c3f1-4eec-8f8e-e2b05c2c3e92",
        "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": "3b09e08f-0db3-8c6f-3147-4bd0764e6ac0",
          "url": null,
          "name": "Denmark Hill Campus",
          "ukprn": null,
          "address": {
            "line1": "Health Service and Population Research Department, Institute of Psychiatry",
            "line2": "De Crespigny Park, Denmark Hill",
            "line3": "Southwark",
            "line4": "London",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.4698594901,
            "postcode": "SE5 8AF",
            "longitude": -0.0890468113
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.4698594901,
            "longitude": -0.0890468113
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.4698594901,-0.0890468113&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=og_Vbd7JEjncWE6EFd5pVw0fLM4=",
          "googleMapsParams": "51.4698594901,-0.0890468113",
          "locationCategory": null,
          "geoLocationString": "51.4698594901,-0.0890468113"
        },
        "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": null,
        "assessmentMethods": null,
        "entryRequirements": "A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.\n\nCandidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.",
        "internalReference": null,
        "providerCourseUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics",
        "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": "52c6310a-3f9f-426b-80e2-894b43d3d3f3",
        "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": "3b09e08f-0db3-8c6f-3147-4bd0764e6ac0",
          "url": null,
          "name": "Denmark Hill Campus",
          "ukprn": null,
          "address": {
            "line1": "Health Service and Population Research Department, Institute of Psychiatry",
            "line2": "De Crespigny Park, Denmark Hill",
            "line3": "Southwark",
            "line4": "London",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.4698594901,
            "postcode": "SE5 8AF",
            "longitude": -0.0890468113
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.4698594901,
            "longitude": -0.0890468113
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.4698594901,-0.0890468113&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=og_Vbd7JEjncWE6EFd5pVw0fLM4=",
          "googleMapsParams": "51.4698594901,-0.0890468113",
          "locationCategory": null,
          "geoLocationString": "51.4698594901,-0.0890468113"
        },
        "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": null,
        "assessmentMethods": null,
        "entryRequirements": "A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.\n\nCandidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.",
        "internalReference": null,
        "providerCourseUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "194",
          "caption": "Postgraduate Diploma - PgDip",
          "mappedCaption": "PG Certificates or Diplomas"
        },
        "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": "cbfb563e-9a96-4033-9d15-619f977530d9",
        "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": "3b09e08f-0db3-8c6f-3147-4bd0764e6ac0",
          "url": null,
          "name": "Denmark Hill Campus",
          "ukprn": null,
          "address": {
            "line1": "Health Service and Population Research Department, Institute of Psychiatry",
            "line2": "De Crespigny Park, Denmark Hill",
            "line3": "Southwark",
            "line4": "London",
            "region": {
              "id": "42",
              "caption": "Greater London",
              "mappedCaption": "Greater London"
            },
            "country": {
              "id": "101",
              "caption": "England",
              "mappedCaption": "England"
            },
            "latitude": 51.4698594901,
            "postcode": "SE5 8AF",
            "longitude": -0.0890468113
          },
          "isDefault": false,
          "geoLocation": {
            "latitude": 51.4698594901,
            "longitude": -0.0890468113
          },
          "tefCodeType": null,
          "locationCode": null,
          "googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C51.4698594901,-0.0890468113&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=og_Vbd7JEjncWE6EFd5pVw0fLM4=",
          "googleMapsParams": "51.4698594901,-0.0890468113",
          "locationCategory": null,
          "geoLocationString": "51.4698594901,-0.0890468113"
        },
        "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.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics.aspx",
        "assessmentMethods": null,
        "entryRequirements": "A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.",
        "internalReference": null,
        "providerCourseUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics.aspx",
        "professionalBodies": [],
        "qualificationLevel": {
          "id": "RQF_7",
          "caption": "RQF Level 7",
          "mappedCaption": null
        },
        "subjectToValidation": false,
        "outcomeQualification": {
          "id": "193",
          "caption": "Postgraduate Certificate - PgCert",
          "mappedCaption": "PG Certificates or Diplomas"
        },
        "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 Statistical Modelling & Health Informatics. King's College London, University of London. Statistics. Health informatics",
    "summary": "This course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences.\n\nYou will receive world-class training in core statistical, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.\n\nThe course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector.\n\nThis course is also suitable if you are a graduate in/work in the fields of computer science, maths, physics, engineering and natural science, including psychology and medicine.\n\nThe course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health",
    "atasFlag": false,
    "contacts": [
      {
        "id": "5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
        "fax": "",
        "email": "",
        "phone": "+44 (0) 20 7123 4843",
        "title": "King's Admissions Office",
        "isDefault": true,
        "hasCourses": false,
        "isClearing": false,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      },
      {
        "id": "0f4d32d7-d3a1-4f71-97e5-6ac361270721",
        "fax": null,
        "email": "newstudents@kcl.ac.uk",
        "phone": "+44 (0)20 7123 4843",
        "title": "King's Admissions Office",
        "isDefault": false,
        "hasCourses": false,
        "isClearing": true,
        "clearingUrl": null,
        "enquiryLink": {
          "url": null,
          "caption": null
        },
        "availability": null,
        "coursesCount": 0,
        "isAdmissions": false,
        "socialMediaPresences": []
      }
    ],
    "keywords": null,
    "provider": {
      "id": "5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
      "name": "King's College London, University of London",
      "ukprn": 10003645,
      "address": {
        "line1": "Strand",
        "line2": "",
        "line3": "",
        "line4": "Westminster",
        "region": {
          "id": "27",
          "caption": "South East England",
          "mappedCaption": "South East England"
        },
        "country": {
          "id": "101",
          "caption": "England",
          "mappedCaption": "England"
        },
        "latitude": 51.5116116061,
        "postcode": "WC2R 2LS",
        "longitude": -0.1162529928
      },
      "aliases": [
        "KCL"
      ],
      "logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/5fd4b1cc-6fb7-5a7c-0bf6-19f979c6cf36",
      "aliasName": "King's College London, University of London (KCL)",
      "websiteUrl": "www.kcl.ac.uk",
      "liveProvider": true,
      "providerCode": null,
      "providerSort": "King's College London, University of London",
      "providerUrls": [],
      "imageLocation": "silver silver gold-01.png",
      "institutionCode": "K60",
      "providerShortName": "King's College London (University of London)",
      "cukasInstitutionCode": null,
      "requireAsciiDocuments": false,
      "providerAbbreviatedName": "KCL",
      "aliasNameWithoutApostrophe": "Kings College London, University of London (KCL)"
    },
    "subjects": [
      {
        "id": "1466",
        "caption": "Statistics",
        "mappedCaption": null
      },
      {
        "id": "2465",
        "caption": "Health informatics",
        "mappedCaption": null
      }
    ],
    "auditions": [],
    "studyType": {
      "id": "1",
      "caption": "Taught",
      "mappedCaption": null
    },
    "department": {
      "id": "dd6a9346-6b06-42d6-2b3a-c74a0ccb7174",
      "name": "Life Sciences and Medicine"
    },
    "hecosCodes": [
      {
        "hecosCode": {
          "code": "100994",
          "caption": "health informatics",
          "refDataId": "10715"
        },
        "percentageOfCourse": 100
      }
    ],
    "jacs3Codes": [],
    "publishEnd": "9999-12-31T23:59:59.9999999",
    "shortTitle": null,
    "specialism": {
      "primary": [],
      "secondary": [],
      "specialismStudyTypes": []
    },
    "visibleEnd": "2027-08-01T08:00:00",
    "compositeId": "e411a126-4b2a-4149-928c-34c71a6029fe-2026",
    "courseTitle": "Applied Statistical Modelling & Health Informatics",
    "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": [],
    "applicationCode": null,
    "courseTitleSort": "Applied Statistical Modelling & Health Informatics",
    "abbreviatedTitle": null,
    "balanceIndicator": null,
    "copyFormRequired": false,
    "internalReference": null,
    "currentlyInClearing": false,
    "ucasTeacherTraining": false,
    "degreeApprenticeship": false,
    "qualifiedTeacherStatus": null,
    "sponsorshipInformation": null,
    "internationalInformation": null,
    "courseTitleWithoutApostrophe": "Applied Statistical Modelling & Health Informatics",
    "additionalAuditionInformation": null,
    "higherTechnicalQualifications": false
  },
  "version": 44,
  "academicYearsInformation": {
    "2025": 4,
    "2026": 4
  }
}

Normalized Data

{
  "scrapedAt": "2026-04-10T12:05:30.746Z",
  "scrapedPte": null,
  "scrapedUrl": "https://www.kcl.ac.uk/study/postgraduate/taught-courses/applied-statistical-modelling-health-informatics",
  "scrapedToefl": null,
  "scrapedAiUsed": false,
  "scrapedFeeRaw": "Home fee status: 25 August 2026 (23:59 UK time)\nIf the programme becomes full before the final application deadlines stated above, we will close the programme to further applications.Please note, you will not be eligible for an application fee refund if we are unable to process further offers because places are filled and we close the course before the final application deadline.\nThis course information applied to 2026 entry only. The University may make changes to a programme of study or modules. See full disclaimer in our Terms and Conditions.\nPlease note that locations are determined by where each module is taught and may vary depending on the modules you study.\nDenmark Hill Campus\nDenmark Hill, in Southwark, London, is a vibrant area known for its historical landmarks and green spaces. Home to King's College and the Maudsley Hospitals, it also features Ruskin Park, named after John Ruskin, and the Camberwell College of Arts.",
  "feesConfidence": 0,
  "normalizedFees": {
    "home": null,
    "currency": null,
    "international": null
  },
  "scrapedAiError": null,
  "scrapedDuolingo": null,
  "scrapedTemplate": "kcl",
  "scrapedCambridge": null,
  "scrapedIeltsBand": null,
  "scrapedLangSource": "course_page",
  "languageConfidence": 0,
  "normalizedLanguage": {
    "pte": null,
    "ielts": null,
    "toefl": null,
    "duolingo": null,
    "cambridge": null
  },
  "scrapedLanguageRaw": "Key Information\n\nCourse type:\n\nMaster's\n\nDelivery mode:\n\nIn person / Classroom & Online\n\nStudy mode:\n\nFull-time\n\nDuration:\n\nOne Year\n\nCredit value:\n\nUK 180/ECTS 90, UK 120/ECTS 60, UK 60/ECTS 30\n\nApplication status:\n\nOpen\n\nStart date:\n\nSeptember 2026\n\nApplication deadlines:\n\nClosing date guidance\n\nApply now\n\nKey Links\n\nHow to apply\n\nRegister your interest\n\nChat to a student\n\nOrder a prospectus\n\nTaught in\n\nInstitute of Psychiatry, Psychology & Neuroscience\n\nDepartment of Biostatistics & Health Informatics\n\nSchool of Mental Health & Psychological Sciences\n\nAdministrative bodies\n\nRegulating body\n\nKing's is regulated by the Office for students\n\nApplication closing date guidance\n\nWe encourage you to apply as early as possible so that there is sufficient time for your application to be assessed and we may need to request further information from you during the application process.",
  "scrapedIeltsOverall": null,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": null,
  "scrapedTuitionFeeIntl": null,
  "scrapedEntryRequirements": "Skip to main content Applied Statistical Modelling & Health Informatics MSc/PGDip/PGCert Join a new generation of data scientists solving complex challenges in healthcare Course menu OverviewTeaching & ModulesEntry requirementsFeesCareersDiscover more Overview Health data science is transforming healthcare, driven by advances in AI, electronic health records, and wearable technology."
}
← Back to Courses