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Administrative data, indicators, and a briefing
Online or on campus
You learn what an indicator hides, how to show uncertainty, and how to write a briefing a non-specialist manager can use. Datasets are public or synthetic. University of Brigant teaches this award online and, where a cohort is formed, on campus. The 36 credit hours on this page are the sum of the modules listed in the curriculum, so the transcript and the prospectus describe the same load. MSc Data for 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 Indicators through Indicators; Working the Table; Uncertainty; The Briefing, and finish on The Briefing. 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: Define an indicator and its blind spot Clean a small public table Show uncertainty without a false precision 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 University of Brigant for this award; this page does not add a separate tuition claim.
Faculty spotlight
School of Social Sciences at University of Brigant supervises the modules and the final project. Supervision is assigned from that school, not from a visiting name shared with another institution.
Study online
Online tuition is free. Online examinations are free. There is no exam fee for online study.
On-campus study
Prefer to learn at our Edinburgh campus? Campus tuition and campus examinations are charged. The published campus price is on each programme page.
| Code | Course | Credits · hours |
|---|---|---|
| DPS501 | Indicators Indicators (DPS501) is a 9-credit course on MSc Data for Public Services, with 90 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Indicators as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 9 · 90 h |
| DPS502 | Working the Table Working the Table (DPS502) is a 9-credit course on MSc Data for Public Services, with 90 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Working the Table as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 9 · 90 h |
| Code | Course | Credits · hours |
|---|---|---|
| DPS503 | Uncertainty Uncertainty (DPS503) is a 9-credit course on MSc Data for Public Services, with 90 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using Uncertainty as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 9 · 90 h |
| DPS504 | The Briefing The Briefing (DPS504) is a 9-credit course on MSc Data for Public Services, with 90 notional learning hours. By the end, students can define a measurable question, fit a method that can be checked, and report where it fails, using The Briefing as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a dataset description, a methods note, and one published evaluation. Seminar time is for the decision, not for reading the materials aloud. Assessment is a project note with the question, the method, the result, and the limitation. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone.
| 9 · 90 h |
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.
You may study this award fully online from your country, or — where published — on campus at Brigant. Online study does not require a student visa. Campus study may.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
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. University of Brigant 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@brigant.uk.
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