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. Université de Montelieu teaches this award online and, where a cohort is formed, on campus. 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 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 Université de Montelieu for this award; this page does not add a separate tuition claim.
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