Certificate

PGCert Integrity and Generative AI (UK Dual Pathway)

Authorship, disclosure, and assessment in the generative-AI year—policy for dual pathway, not a coding bootcamp.

Online or on campus

9 months120 creditsEnglish (dual pathway: London campus or tuition-free online; one academic standard)

PGCert Integrity and Generative AI (UK Dual Pathway)

Overview

Generative AI broke ‘submit a take-home essay and hope’. This PGCert starts with assessment design, disclosure, and oral confirmation—especially where identity-checked exams already exist. You will not be trained as a machine-learning engineer. UK higher education and qualifications-regulation literacy appear because complaints will cite both. Dual-pathway students must not face a harsher AI rule than campus students, or a laxer one. Faculty mark whether your policy is enforceable at 11 p.m. in a storm week. The award is not a coding certificate and not a detector-vendor partnership. Capstones are policy-and-task-design dossiers for a named programme. Haverton University already runs identity-checked assessment; generative AI is treated as an authorship and task-design problem, not as a reason to buy humiliation software. Policies must be enforceable in a storm week. Ofqual-facing language appears in complaints literacy, not as a claim of regulator employment. Campus and online rules must be the same award, not two moralities. A policy that cannot be applied on a Sunday night in a rented room is not a policy. Staff marking load is part of the design, not an afterthought. PGCert Integrity and Generative AI (UK Dual Pathway) is taught as one award, not a list of unrelated modules. The published length is 9 months, and the credit total is 15. Students move from What a University Can Still Assess through What a University Can Still Assess; Disclosure, Permitted Use, and Grey Zones; Process Portfolios and In-Time Tasks; Allegations, Evidence, and Student Rights; British and UK Sector Reference Points as Literacy, and finish on British and UK Sector Reference Points as Literacy. Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation. The award is built so that a graduate can do the following in practice: Write an authorship and disclosure policy that can be applied Redesign tasks to assess the person under generative AI Align campus and online rules as one award Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.

Fifteen credits, nine months: authorship constructs, task design, conduct processes, and a supervised dossier. Dual pathway. No AI-vendor logos.

Who This Programme Is For

Module leaders and programme directors
Academic-conduct and quality officers
Learning technologists supporting dual pathway
Student-union education officers seeking policy literacy

How you can study

Recommended

Study online

100% tuition-free online

Online tuition is free. Online examinations and certificates are 100% free and sponsored.

✦ Tuition: £0 / $0
✦ Examinations & certificates are 100% free & sponsored
✦ Learn from anywhere · Live online seminars

Apply online →

On-campus study

Study at our campus

Prefer to learn at our London campus? Campus tuition is published on each programme page. All examinations are 100% free of charge.

✦ Tuition: £3,500 / US$4,500/year
✦ Location: Du Cane Rd, London W12 0NN, United Kingdom
✦ Campus examinations are charged
✦ In-person seminars, library & student services

Apply for campus →

What You Will Learn

Write an authorship and disclosure policy that can be applied
Redesign tasks to assess the person under generative AI
Align campus and online rules as one award
Run conduct processes without detector worship
Refuse vendor-certificate and surveillance-product claims

Curriculum

Module 1: Authorship after generative models

Code	Course	Credits · hours
UOB901	What a University Can Still Assess What a University Can Still Assess (UOB901) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB901-M1 · The question, the unit of analysis, and data quality — What a University Can Still Assess UOB901-M2 · Features, baselines, and error — What a University Can Still Assess UOB901-M3 · Validation, leakage, and what the model must not decide — What a University Can Still Assess UOB901-M4 · Monitoring, drift, and human review — What a University Can Still Assess UOB901-M5 · Interpretation for a non-technical decision maker — What a University Can Still Assess UOB901-M6 · A supervised project with method, result, and limitation — What a University Can Still Assess	15 · 150 h
UOB902	Disclosure, Permitted Use, and Grey Zones Disclosure, Permitted Use, and Grey Zones (UOB902) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB902-M1 · The question, the unit of analysis, and data quality — Disclosure, Permitted Use, and Grey Zones UOB902-M2 · Features, baselines, and error — Disclosure, Permitted Use, and Grey Zones UOB902-M3 · Validation, leakage, and what the model must not decide — Disclosure, Permitted Use, and Grey Zones UOB902-M4 · Monitoring, drift, and human review — Disclosure, Permitted Use, and Grey Zones UOB902-M5 · Interpretation for a non-technical decision maker — Disclosure, Permitted Use, and Grey Zones UOB902-M6 · A supervised project with method, result, and limitation — Disclosure, Permitted Use, and Grey Zones	15 · 150 h
UOB581	A question and a dataset A question and a dataset (UOB581) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB581-M1 · The job this module prepares the student to do UOB581-M2 · The terms used in that job UOB581-M3 · A workplace example UOB581-M4 · A mistake a new practitioner makes UOB581-M5 · The document or tool used UOB581-M6 · What the module does not qualify the student to do UOB581-M7 · A check against a standard UOB581-M8 · The submission: a workplace glossary and example. The assessed course is A question and a dataset.	15 · 150 h
UOB582	Cleaning and a rejected row Cleaning and a rejected row (UOB582) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB582-M1 · The method, in the order it is used at work UOB582-M2 · A worked example UOB582-M3 · The step that must not be skipped UOB582-M4 · Evidence the step was done UOB582-M5 · A second example with a different result UOB582-M6 · A shortcut and why it fails UOB582-M7 · Feedback and a correction UOB582-M8 · The submission: a worked method sheet. The assessed course is Cleaning and a rejected row.	15 · 150 h
UOB583	A baseline result A baseline result (UOB583) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB583-M1 · The record the workplace keeps UOB583-M2 · Who writes it and who reads it UOB583-M3 · An error in the record and how it is found UOB583-M4 · What the record cannot prove UOB583-M5 · Retention, access, or confidentiality as it applies here UOB583-M6 · A better entry and a worse one UOB583-M7 · The check a supervisor would make UOB583-M8 · The submission: a completed record with a note. The assessed course is A baseline result.	15 · 150 h

Module 2: Task and oral design

Code	Course	Credits · hours
UOB905	Process Portfolios and In-Time Tasks Process Portfolios and In-Time Tasks (UOB905) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB905-M1 · The question, the unit of analysis, and data quality — Process Portfolios and In-Time Tasks UOB905-M2 · Features, baselines, and error — Process Portfolios and In-Time Tasks UOB905-M3 · Validation, leakage, and what the model must not decide — Process Portfolios and In-Time Tasks UOB905-M4 · Monitoring, drift, and human review — Process Portfolios and In-Time Tasks UOB905-M5 · Interpretation for a non-technical decision maker — Process Portfolios and In-Time Tasks UOB905-M6 · A supervised project with method, result, and limitation — Process Portfolios and In-Time Tasks	15 · 150 h

Code

Course

Credits · hours

UOB905

Process Portfolios and In-Time Tasks

Process Portfolios and In-Time Tasks (UOB905) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

UOB905-M1 · The question, the unit of analysis, and data quality — Process Portfolios and In-Time Tasks
UOB905-M2 · Features, baselines, and error — Process Portfolios and In-Time Tasks
UOB905-M3 · Validation, leakage, and what the model must not decide — Process Portfolios and In-Time Tasks
UOB905-M4 · Monitoring, drift, and human review — Process Portfolios and In-Time Tasks
UOB905-M5 · Interpretation for a non-technical decision maker — Process Portfolios and In-Time Tasks
UOB905-M6 · A supervised project with method, result, and limitation — Process Portfolios and In-Time Tasks

15 · 150 h

Module 3: Conduct and communication

Code	Course	Credits · hours
UOB909	Allegations, Evidence, and Student Rights Allegations, Evidence, and Student Rights (UOB909) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB909-M1 · The question, the unit of analysis, and data quality — Allegations, Evidence, and Student Rights UOB909-M2 · Features, baselines, and error — Allegations, Evidence, and Student Rights UOB909-M3 · Validation, leakage, and what the model must not decide — Allegations, Evidence, and Student Rights UOB909-M4 · Monitoring, drift, and human review — Allegations, Evidence, and Student Rights UOB909-M5 · Interpretation for a non-technical decision maker — Allegations, Evidence, and Student Rights UOB909-M6 · A supervised project with method, result, and limitation — Allegations, Evidence, and Student Rights	15 · 150 h

Code

Course

Credits · hours

UOB909

Allegations, Evidence, and Student Rights

Allegations, Evidence, and Student Rights (UOB909) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

UOB909-M1 · The question, the unit of analysis, and data quality — Allegations, Evidence, and Student Rights
UOB909-M2 · Features, baselines, and error — Allegations, Evidence, and Student Rights
UOB909-M3 · Validation, leakage, and what the model must not decide — Allegations, Evidence, and Student Rights
UOB909-M4 · Monitoring, drift, and human review — Allegations, Evidence, and Student Rights
UOB909-M5 · Interpretation for a non-technical decision maker — Allegations, Evidence, and Student Rights
UOB909-M6 · A supervised project with method, result, and limitation — Allegations, Evidence, and Student Rights

15 · 150 h

Module 4: Dossier

Code	Course	Credits · hours
UOB913	British and UK Sector Reference Points as Literacy British and UK Sector Reference Points as Literacy (UOB913) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree. UOB913-M1 · The question, the unit of analysis, and data quality — British and UK Sector Reference Points as Literacy UOB913-M2 · Features, baselines, and error — British and UK Sector Reference Points as Literacy UOB913-M3 · Validation, leakage, and what the model must not decide — British and UK Sector Reference Points as Literacy UOB913-M4 · Monitoring, drift, and human review — British and UK Sector Reference Points as Literacy UOB913-M5 · Interpretation for a non-technical decision maker — British and UK Sector Reference Points as Literacy UOB913-M6 · A supervised project with method, result, and limitation — British and UK Sector Reference Points as Literacy	15 · 150 h

Code

Course

Credits · hours

UOB913

British and UK Sector Reference Points as Literacy

British and UK Sector Reference Points as Literacy (UOB913) is a course on PGCert Integrity and Generative AI (UK Dual Pathway). It carries 15 credits and 150 notional learning hours, at 10 hours per credit. The course is a professional certificate module. The submission is a workplace artefact a marker can check against the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. Haverton University teaches this course on the published route for this degree.

UOB913-M1 · The question, the unit of analysis, and data quality — British and UK Sector Reference Points as Literacy
UOB913-M2 · Features, baselines, and error — British and UK Sector Reference Points as Literacy
UOB913-M3 · Validation, leakage, and what the model must not decide — British and UK Sector Reference Points as Literacy
UOB913-M4 · Monitoring, drift, and human review — British and UK Sector Reference Points as Literacy
UOB913-M5 · Interpretation for a non-technical decision maker — British and UK Sector Reference Points as Literacy
UOB913-M6 · A supervised project with method, result, and limitation — British and UK Sector Reference Points as Literacy

15 · 150 h

Career Paths

Academic integrity officer
Programme assessment lead
Quality officer (AI policy)
Learning design (assessment) specialist
Student conduct caseworker

Programme Highlights

Dual-pathway parity of AI rules
Assessment design over detector theatre
Nine months, 15 credits
Ofqual-facing literacy, not staff
No vendor logos

Assessment

Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.

Admission requirements

Academic entry

Bachelor's degree or three years of relevant professional experience
Identity document for remote identity-checked assessment
Preferred: work in teaching, assessment, quality, or academic conduct

English language

English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study). Dual-pathway applicants state London campus or tuition-free online as primary mode without changing academic standards. Gaelic/Scots programmes may require additional language evidence as stated on the programme page.

Documents

Brief statement of interest (250 words)
CV or résumé

Programme questions

How long is the PGCert Integrity and Generative AI (UK Dual Pathway)?

The published duration is 9 months. Teaching language: English (dual pathway: London campus or tuition-free online; one academic standard). Actual time-to-complete depends on mode and any recognised prior learning.

Can I study this from my country?

You may study this award fully online from your country, or — where published — on campus at Haverton. Online study does not require a student visa. Campus study may.

What does it cost?

Degree tuition for this award is published as £0 / tuition-free on the online pathway. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.

What are the entry requirements?

Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.

How is the programme assessed?

Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.

Will this award be recognised where I live?

Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Haverton University publishes verification pages for certificates. We do not claim automatic equivalence in every country.

How do I apply?

Start an application on this website. Progress is saved from the first step. Admissions: admissions@haverton.org.

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