Detail API Response (Raw)
{
"course": {
"id": "612b1d4b-4ebf-47aa-a422-65004ee02040",
"cpdFlag": false,
"options": [
{
"id": "4fb366ef-10b4-42f8-b653-257d34d47a4d",
"status": {
"published": true,
"availableForApplication": true,
"applicationStatusSummary": "Please speak to the provider to make an application",
"acceptingApplicationsMessage": null,
"notAcceptingApplicationsMessage": null
},
"cycleId": null,
"modules": "",
"deadline": null,
"duration": {
"quantity": 36,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "00000000-0000-0000-0000-000000000000",
"url": null,
"name": null,
"ukprn": null,
"address": null,
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C55.8643,-4.2786&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=DuHtn_Q9SQbIy57UCg-7EO1VHM4=",
"googleMapsParams": "55.8643,-4.2786",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "32",
"caption": "Distance learning (part-time)",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.gla.ac.uk/postgraduate/apply/",
"assessmentMethods": null,
"entryRequirements": "2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme.\n\nGraduates who achieved 2.2 Hons (or non-UK equivalent), but who have at least two years of relevant professional experience which involved a significant amount of programming, data management, data analysis or mathematical modelling may also be admitted to the programme. Such applicants may be required to complete an interview.\n\nPrevious study of Statistics or Computing Science is not required.",
"internalReference": null,
"providerCourseUrl": "http://www.gla.ac.uk/postgraduate/taught/dataanalyticsonline/",
"professionalBodies": [],
"qualificationLevel": {
"id": "SCQF_11",
"caption": "SCQF Level 11",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "158",
"caption": "MSc",
"mappedCaption": "Masters degrees"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All fees are published on the University of Glasgow website.\n\nhttps://www.gla.ac.uk/postgraduate/feesandfunding/",
"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": "f4e2306f-789a-49da-8fdb-3a7687d46c61",
"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": 12,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "00000000-0000-0000-0000-000000000000",
"url": null,
"name": null,
"ukprn": null,
"address": null,
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C55.8643,-4.2786&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=DuHtn_Q9SQbIy57UCg-7EO1VHM4=",
"googleMapsParams": "55.8643,-4.2786",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "32",
"caption": "Distance learning (part-time)",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.gla.ac.uk/postgraduate/apply/",
"assessmentMethods": null,
"entryRequirements": "2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme.\n\nGraduates who achieved 2.2 Hons (or non-UK equivalent), but who have at least two years of relevant professional experience which involved a significant amount of programming, data management, data analysis or mathematical modelling may also be admitted to the programme. Such applicants may be required to complete an interview.\n\nPrevious study of Statistics or Computing Science is not required.",
"internalReference": null,
"providerCourseUrl": "https://www.gla.ac.uk/postgraduate/taught/dataanalyticsonline/",
"professionalBodies": [],
"qualificationLevel": {
"id": "SCQF_11",
"caption": "SCQF Level 11",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "193",
"caption": "Postgraduate Certificate - PgCert",
"mappedCaption": "PG Certificates or Diplomas"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All fees are published on the University of Glasgow website.\n\nhttps://www.gla.ac.uk/postgraduate/feesandfunding/",
"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": "99a48c80-75dd-4bfd-b51c-ac80fcb2d133",
"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": 24,
"durationType": {
"id": "3",
"caption": "Months",
"mappedCaption": null
}
},
"features": {
"accelerated": false
},
"location": {
"id": "00000000-0000-0000-0000-000000000000",
"url": null,
"name": null,
"ukprn": null,
"address": null,
"isDefault": false,
"geoLocation": null,
"tefCodeType": null,
"locationCode": null,
"googleMapsUrl": "https://maps.googleapis.com/maps/api/staticmap?zoom=10&size=2048x600&scale=2&markers=size:tiny%7Ccolor:red%7C55.8643,-4.2786&key=AIzaSyDAC7vZWEFNPF6GFUZvXfO5PRDxdEC0Gc0&signature=DuHtn_Q9SQbIy57UCg-7EO1VHM4=",
"googleMapsParams": "55.8643,-4.2786",
"locationCategory": null,
"geoLocationString": null
},
"startDate": {
"date": "09/2026",
"nonSpecific": false
},
"studyMode": {
"id": "32",
"caption": "Distance learning (part-time)",
"mappedCaption": "Distance learning",
"excludedSchemesForApplication": [
"ucas"
]
},
"applyCycle": "2026",
"courseFees": [],
"courseType": null,
"entryPoints": [],
"durationRange": {
"max": null,
"min": null
},
"admissionTests": [],
"subjectOptions": [],
"useDefaultFees": false,
"providerApplyUrl": "https://www.gla.ac.uk/postgraduate/apply/",
"assessmentMethods": null,
"entryRequirements": "2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme.\n\nGraduates who achieved 2.2 Hons (or non-UK equivalent), but who have at least two years of relevant professional experience which involved a significant amount of programming, data management, data analysis or mathematical modelling may also be admitted to the programme. Such applicants may be required to complete an interview.\n\nPrevious study of Statistics or Computing Science is not required.",
"internalReference": null,
"providerCourseUrl": "https://www.gla.ac.uk/postgraduate/taught/dataanalyticsonline/",
"professionalBodies": [],
"qualificationLevel": {
"id": "SCQF_11",
"caption": "SCQF Level 11",
"mappedCaption": null
},
"subjectToValidation": false,
"outcomeQualification": {
"id": "194",
"caption": "Postgraduate Diploma - PgDip",
"mappedCaption": "PG Certificates or Diplomas"
},
"deferredEntryDisallowed": false,
"additionalFeeInformation": "All fees are published on the University of Glasgow website.\n\nhttps://www.gla.ac.uk/postgraduate/feesandfunding/",
"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": "Data Analytics (Online Distance Learning). University of Glasgow. Data analysis",
"summary": "While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace.\n\n**WHY THIS PROGRAMME**\n\n\n- The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.\n\n\n- A faster study route, which lets you complete the programme in two years, is also available.\n\n\n- Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.\n\n\n- The Masters in Data Analytics is accredited by the Royal Statistical Society.\n\n\n- You'll be studying with a Russell Group University\n\n\n- You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.\n\n\n**PROGRAMME STRUCTURE**\n\nThis flexible part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation.\n\n**MSc and PgDip\nCore courses (MSc only):**\nData Analytics Project (ODL)\n\n**Core courses:**\nAdvanced Predictive Models (ODL)\nData Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL)\nLEARNING FROM DATA (ODL)\nPredictive Modelling (ODL)\nR Programming (ODL)\nData Analytics in Business and Industry (ODL)\nData Management and Analytics using SAS (ODL)\nData Mining and Machine Learning II: Big Data and Unstructured Data (ODL)\nData Programming in Python (ODL)\nLarge-Scale Computing for Data Analytics (ODL)\nUncertainty Assessment and Bayesian Computation (ODL)\nProbability and Sampling Fundamentals (ODL)\n\n**PgCert\nCore courses:**\nLearning from Data - Data Science Foundations (ODL)\nPredictive Modelling (ODL)\nR Programming (ODL)\nProbability and Sampling Fundamentals (ODL)\n\n**Choose two from the following:**\nAdvanced Predictive Models (ODL)\nData Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL)\nData Mining and Machine Learning II: Big Data and Unstructured Data (ODL)\n\n**Key outcomes**\nDemonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning. \nDeveloping strategies for modelling and analysing potentially large and complex data.\nCommunicate and visualise insights gained from data.\nDesign and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.",
"atasFlag": false,
"contacts": [
{
"id": "bc183aa4-ba91-7ab6-8f37-4db3e84b864f",
"fax": "",
"email": "",
"phone": "0141 330 4515",
"title": "PG Admissions",
"isDefault": false,
"hasCourses": false,
"isClearing": false,
"clearingUrl": null,
"enquiryLink": {
"url": "https://www.gla.ac.uk/study/enquire/",
"caption": "Enquire Online"
},
"availability": null,
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
},
{
"id": "9f6fddd2-534f-4118-8331-2500856eea29",
"fax": null,
"email": "clearing@glasgow.ac.uk",
"phone": "",
"title": "Clearing Application Line",
"isDefault": false,
"hasCourses": false,
"isClearing": true,
"clearingUrl": "https://www.gla.ac.uk/study/clearing/apply/",
"enquiryLink": {
"url": null,
"caption": null
},
"availability": "https://www.gla.ac.uk/study/clearing/apply/",
"coursesCount": 0,
"isAdmissions": false,
"socialMediaPresences": []
}
],
"keywords": null,
"provider": {
"id": "e4c66810-05c8-fd1c-4e9e-a8072e3189e2",
"name": "University of Glasgow",
"ukprn": 10007794,
"address": {
"line1": "Berkeley Square",
"line2": "Pavilion 3",
"line3": "99 Berkeley Street",
"line4": "Glasgow",
"region": {
"id": "36",
"caption": "West Scotland",
"mappedCaption": "Scotland"
},
"country": {
"id": "103",
"caption": "Scotland",
"mappedCaption": "Scotland"
},
"latitude": 55.8643,
"postcode": "G3 7HR",
"longitude": -4.2786
},
"aliases": [],
"logoUrl": "https://d1l6hqpjksdq9d.cloudfront.net/Prod/e4c66810-05c8-fd1c-4e9e-a8072e3189e2",
"aliasName": "University of Glasgow",
"websiteUrl": "www.gla.ac.uk",
"liveProvider": true,
"providerCode": null,
"providerSort": "Glasgow, University of",
"providerUrls": [],
"imageLocation": null,
"institutionCode": "G28",
"providerShortName": "University of Glasgow",
"cukasInstitutionCode": null,
"requireAsciiDocuments": false,
"providerAbbreviatedName": "GLASG",
"aliasNameWithoutApostrophe": "University of Glasgow"
},
"subjects": [
{
"id": "2520",
"caption": "Data analysis",
"mappedCaption": null
}
],
"auditions": [],
"studyType": {
"id": "1",
"caption": "Taught",
"mappedCaption": null
},
"department": {
"id": "c98eab75-110f-f0a4-a172-aee44bc801bc",
"name": "School of Mathematics and Statistics"
},
"hecosCodes": [
{
"hecosCode": {
"code": "100371",
"caption": "information systems",
"refDataId": "10262"
},
"percentageOfCourse": 100
}
],
"jacs3Codes": [],
"publishEnd": "9999-12-31T23:59:59.9999999",
"shortTitle": null,
"specialism": {
"primary": [],
"secondary": [],
"specialismStudyTypes": []
},
"visibleEnd": "2027-08-01T08:00:00",
"compositeId": "612b1d4b-4ebf-47aa-a422-65004ee02040-2026",
"courseTitle": "Data Analytics (Online Distance Learning)",
"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": "410",
"caption": "University of Glasgow",
"mappedCaption": null
}
],
"applicationCode": null,
"courseTitleSort": "Data Analytics (Online Distance Learning)",
"abbreviatedTitle": null,
"balanceIndicator": null,
"copyFormRequired": false,
"internalReference": null,
"currentlyInClearing": false,
"ucasTeacherTraining": false,
"degreeApprenticeship": false,
"qualifiedTeacherStatus": null,
"sponsorshipInformation": "Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.",
"internationalInformation": "Online Distance Learning:\nPlease note that applications for programmes delivered online will be accepted until the commencement of the programmes in September 2019.",
"courseTitleWithoutApostrophe": "Data Analytics (Online Distance Learning)",
"additionalAuditionInformation": null,
"higherTechnicalQualifications": false
},
"version": 65,
"academicYearsInformation": {
"2025": 3,
"2026": 3
}
}