MSc Data Science & Artificial Intelligence (Dual Award)

Opis i cele kształcenia

An intensive postgraduate dual programme delivering deep mastery in advanced machine learning, neural networks, distributed big data engineering, and ethical AI systems with validation by world-class UK academics. Students earn 2 independent accredited diplomas with a 60% / 40% international credit split. MSc Data Science & Artificial Intelligence (Dual Award) is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 180. Students move from Data and measurement through Data and measurement; Models that can be checked; Deployment and care; Analytics project; Data and measurement (MSC-D202); Models that can be checked (MSC-D203), and finish on Deployment and care (MSC-D301). 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: Two separate Master of Science degrees awarded upon successful defense Rigorous coursework examined under British university quality code (QAA) Capstone thesis supervised jointly with external industry and academic advisors 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.

Dyplom ukończenia studiów wydaje IU Międzynarodowy Uniwersytet Nauk Stosowanych z siedzibą w Warszawie. Kształcenie odbywa się w oparciu o polskie i europejskie standardy akademickie.

Struktura modułów i program nauczania

Program obejmuje 180 punktów ECTS zorganizowanych w moduły semestralne:

Forma kształcenia i zaliczenia

Perspektywy zawodowe absolwentów

• Principal AI Architect
• Senior Machine Learning Engineer
• Chief Data Scientist
• Quantitative Research Lead

Kampus w Warszawie i zaplecze akademickie

Siedziba uczelni mieści się przy ul. Prostej 20 w Warszawie — w samym sercu stolicy Polski. Studenci stacjonarni korzystają z nowoczesnej infrastruktury dydaktycznej, a studenci online z pełnego wsparcia cyfrowego.

Główny gmach akademicki przy ul. Prostej 20 w Warszawie.

Dziedziniec uniwersytecki i przestrzenie seminaryjne.

Infrastruktura dydaktyczna i laboratoria wydziałowe.