MSc Applied AI for Public Services

Academic Overview

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. IU International University of Applied Sciences 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 degree is awarded directly by IU International University of Applied Sciences, seated in Warsaw, Poland. Studies are conducted in full alignment with Polish and European academic standards.

Curriculum & Core Modules

The curriculum comprises 30 ECTS credits structured across progressive academic modules:

Teaching & Assessment Methodology

Career Trajectories

• Machine-learning engineer
• AI product manager
• Applied research scientist
• Data science lead
• AI governance and assurance roles

European Campus & Academic Facilities

Seated at Prosta 20 in Warsaw, IU International University of Applied Sciences offers state-of-the-art academic lecture halls, digital research repositories, and vibrant collegiate spaces for both on-campus and international distance scholars.

Main academic building at Prosta 20, Warsaw.

Collegiate courtyard and research study spaces.

Academic facilities and faculty laboratory suites.