Data Science for Artificial Intelligence

Basic Information

Course ID
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Option ID
4f22fb78-5e4e-4897-a93c-72bbd3807b80
Provider
Harper Adams University
Type
postgraduate
Academic Year
2026
Source
ucas
Created
2/22/2026, 4:50:47 AM
Updated
3/27/2026, 10:09:14 AM

Other Options for this Course

Option ID Added
c89cb092-43c2-4521-aded-1594265fda20 2/22/2026 View

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  "scrapedLanguageRaw": "English Language Requirements\nHow we can support your application\nWhen you apply to study here, you may need to prove your knowledge of the English language. This helps us to make sure you will cope with your course. We will let you know more about this during the application process.\nEnglish language requirements for students who require visa sponsorship If you need a visa for undergraduate or postgraduate study, you must show evidence that your English Language skills are at B2 level on the CEFR (Common European Framework of Reference).\nThis can be demonstrated by obtaining any of the following qualifications for direct entry on to undergraduate, postgraduate or research qualifications.\nLearn more about our requirements\nYour English competency can be demonstrated by obtaining and evidencing any of these qualifications:\nMinimum Score UG\nMinimum Score PG\nIELTS Academic *\n6.0 overall (with no less than 5.5 in any component)\n6.5 overall (with no less than 5.5 in any component)\nGeneral IELTS is not accepted\nPearson Test of English Academic (PTE) *\n60 (minimum 59 in any component)\n64 (minimum 59 in any component)\nGeneral PTE is not accepted/ PTE Academic Online is not accepted\n65 overall with no less than 60 in any component score.\n70 overall with no less than 60 in any component score\nSELT version only\nNCUK Password test *\nPassword 6.0 overall (with no less than 5.5 in any component)\nPassword 6.5 overall (with no less than 5.5 in any component)\nPSI Skills for English B2 *\nPass i",
  "scrapedIeltsOverall": 6,
  "scrapedLangSourceUrl": null,
  "scrapedTuitionFeeHome": null,
  "scrapedTuitionFeeIntl": null,
  "scrapedEntryRequirements": "Entry requirements for 2026 Candidates should possess one of the following: An honours degree in an appropriate subject-specific disciplines such as human health, finance, agriculture, food science, environmental studies, or other specialised fields who wish to apply data science and AI techniques within their areas of expertise, including those with a background in technical subjects like computer science, mathematics, or statistics. A good UK based HND or Foundation Degree or equivalent in a relevant subject together with related industrial or professional experience of at least two years. A Graduate Diploma or Graduate Certificate in a relevant discipline or equivalent. To apply for this course a degree indicating basic quantitative and mathematical skills is required and applicants are expected to demonstrate some ability and interest in this area. Whilst formal techniques are taught as part of the MSc course, some prior training and enthusiasm in these areas is expected."
}
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