An intensive one-year master's for civil servants, NHS analysts and local-government officers who must commission, govern and evaluate AI systems in the public sector. Covers machine learning literacy, procurement, algorithmic accountability and service redesign. Delivered online (tuition-free) or on campus in Warsaw.
Université de Montelieu teaches this award to one academic standard whether you study on campus in Warsaw or on the tuition-free online pathway. Assessment is identity-checked; the marking scheme does not change with your postcode. This is an academic Master's award; where a field has a licensing or registration route, that remains a matter for your professional body or regulator.
You will work through the material as a practitioner-researcher: applied methods, real or anonymised cases, and a supervised capstone or dissertation as the final component. Faculty mark whether you noticed the constraints a slide deck usually hides.
MSc Applied AI for Public Services is taught as one award, not a list of unrelated modules. The published length is 12 months, and the credit total is 30. Students move from Mathematics & Probability for AI through Mathematics & Probability for AI; Machine Learning Theory & Practice; Programming Intelligent Systems; Deep Learning & Representation Learning; Natural Language Processing & Large Language Models; Computer Vision & Multimodal AI, and finish on Communicating AI to Non-Specialists.
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: Build and evaluate machine-learning models against a real objective Judge where AI is and is not an appropriate solution, and say why Take a model from notebook to a monitored production service
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.
The programme carries 30 credits across four assessed modules. Delivery is tuition-free (0) on the online pathway. Transcripts use letter grades and a GPA scale consistent with Université de Montelieu awards. No professional-body logo is used in marketing to imply endorsement.
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