MSc Applied Artificial Intelligence & Autonomous Systems (Dual Award)
Transatlantic Dual MSc (UK + US Credentials) — Conferred jointly with IU International University of Applied Sciences (EU) & Arizona State University (USA)
Conferred under the Polish Law on Higher Education with European ECTS Diploma Supplement.
ApplyAcademic Overview
Deep dive into computer vision, reinforcement learning, autonomous agents, edge computing, and robotics perception systems. Students earn 2 independent accredited diplomas with a 55% / 45% international credit split. MSc Applied Artificial Intelligence & Autonomous Systems (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: Dual master's conferral uniting British academic rigor and US technological innovation Simulation labs in ROS 2, PyTorch, and cloud robotics environments Supervised research thesis evaluated by joint UK/US examination boards 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 180 ECTS credits structured across progressive academic modules:
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)
Deployment and care (MSC-D301)
Teaching & Assessment Methodology
Online Pathway
Asynchronous learning via the university LMS, digital library access, faculty-led virtual seminars, and proctored online assessments.
Warsaw Campus Pathway
In-person lectures, tutorial seminars, and laboratory sessions at Prosta 20, Warsaw, with full campus facility access.
Career Trajectories
- Autonomous Systems Architect
- Principal Computer Vision Engineer
- Robotics AI Research Scientist
- Edge AI Solutions Director
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.
Degree Recognition, NAWA & EDINAC Accreditation
Degrees from IU International University of Applied Sciences are awarded under the statutory framework of the Republic of Poland and the European Bologna Process (ECTS). Qualification transparency and international academic mobility are supported within the framework of NAWA (Polish National Agency for Academic Exchange) and European ENIC-NARIC networks. Furthermore, the university holds Tier 1 Full International Accreditation from EDINAC (Ref: EIAC/QA/PL/2000-IU) with immutable cryptographic diploma verification on edinac.org.