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You take one service, watch the form, and write a delivery brief that removes a step or explains why it must stay. Cases are African public services described from public material. African Future University teaches this award fully online. The 180 credits (1,800 notional hours) on this page are the sum of the 8 courses in the curriculum, so the transcript and the prospectus describe the same load. MSc Digital Public Services is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 36. Students move from The Service through The Service; The Failure; Cut or Keep; Delivery Brief, and finish on Delivery Brief. Each course has a question, a method, and a submission. In this field, students apply the method of the subject to a defined problem and defend the result. Reading is a core text, a case or dataset, and a critique. The artefact a marker expects is a submission that shows the method, the evidence, and the limit of the claim. The award is built so that a graduate can do the following in practice: Describe the service as a user meets it Find a step that fails Decide whether to cut or keep it 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.
Assessment is coursework on each taught module plus the final project named in the curriculum. Results are recorded as credit hours against each module. Fees are the figures published by African Future University for this award; this page does not add a separate tuition claim.
Faculty spotlight
School of Public Administration at African Future University supervises the modules and the final project. Supervision is assigned from that school, not from a visiting name shared with another institution.
Study online
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code | Course | Credits · hours |
|---|---|---|
| DGS501 | Analytical foundations of Digital Public Services Analytical foundations of Digital Public Services (DGS501) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 20 · 200 h |
| DGS502 | Evidence and research methods for Digital Public Services Evidence and research methods for Digital Public Services (DGS502) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 20 · 200 h |
| DGS503 | Professional context and institutions in Digital Public Services Professional context and institutions in Digital Public Services (DGS503) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 20 · 200 h |
| Code | Course | Credits · hours |
|---|---|---|
| DGS504 | Measurement, data quality, and error in Digital Public Services Measurement, data quality, and error in Digital Public Services (DGS504) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
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| Code | Course | Credits · hours |
|---|---|---|
| DGS507 | Evaluation, risk, and a competing explanation in Digital Public Services Evaluation, risk, and a competing explanation in Digital Public Services (DGS507) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
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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.
The published duration is 18 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
This is a fully online award. You study from your country. No student visa and no campus relocation are required.
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.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
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.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. African Future University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@afutureuni.com.
Recognised & Accredited
| 20 · 200 h |
| DGS505 | Ethics, regulation, and the limit of the claim in Digital Public Services Ethics, regulation, and the limit of the claim in Digital Public Services (DGS505) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 20 · 200 h |
| DGS506 | Design, implementation, and change in Digital Public Services Design, implementation, and change in Digital Public Services (DGS506) is a course on MSc Digital Public Services. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 20 · 200 h |
| 20 · 200 h |
| DGS508 | Capstone: a defended decision in Digital Public Services Capstone: a defended decision in Digital Public Services (DGS508) is a course on MSc Digital Public Services. It carries 40 credits and 400 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. 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. The degree is taught fully online.
| 40 · 400 h |