Program Overview
The first year will cover the following core fundamentals: Basic Mathematical Methods and Statistics Software Engineering Parallel Programming Computer Architecture After the fundamental courses, students will follow up on a specialisation Department of Computer Science
Key Program Features
- Pedagogy A quality-controlled and innovative educational Master programme for HPC and industrial applications in HPC of pan-European reach. A broader range of valuable competencies sought by employers at the European and international level Summer schools and HPC related workshops Internships at academic institutes
- innovative HPC companies
- and Supercomputer Centers in EuropeStudents could have access to the latest cutting-edge HPC infrastructure for the practical sessionsScholarships for eligi
Career Opportunities
Study and career opportunities Graduates of the programme will be able to work in the following fields: numerical and data analyst, performance analyst and advisor, HPC architecture, and system development and support.Doctoral Programme in High Performance Computing in Luxembourg (University of Luxembourg, LIST, LIH). More info Study programme brochure Learning Outcomes Demonstrate a broad understanding of artificial intelligence, high performance data analytics, scientific computing, computational numerical analysis, and multidisciplinary knowledge of machine learning and data analytics, computational science – biotechnology, material science, physics, chemistry and mechanics (solid and fluid). Demonstrate a broad understanding of parallel programming (including GPU and FPGA), distributed systems, middleware technologies, software engineering, compilers, compiler optimisation, parallel programming design, applications & parallel performance analysis. Demonstrate a broad understanding of application life-cycle, component integration, software stacks (for CPU, GPU, FPGA CRGA), operating systems, kernel development, parallel file systems, high-speed networking, synchronisation, container technologies, virtualisation technologies, integration of HPC and cloud, server administration and infrastructure setup management & security. Demonstrate a broad understanding of SoC design, NoC design, microarchitecture, memory systems, circuit design (VLSI design flow), power dissipation, low-power design techniques, thermal power models. Study perspectives Graduates from the Master in High Performance Computing can continue with a PhD in Computer Science and Computer Engineering at the University of Luxembourg. Doctoral Programme in Computer Science and Computer Engineering ‟ Our Master relies on innovative curriculum and teaching paradigms, leading universities, top HPC experts, access to supercomputing centres and strong industry support. I am deeply convinced that in particular
Program Curriculum
Programme The first year will cover the following core fundamentals:– Basic Mathematical Methods and Statistics– Software Engineering– Parallel Programming– Computer ArchitectureAfter the fundamental courses, students will follow up on a specialisation. Admissions Academic Contents Semester 1 Semester 1 Semester 2 Semester 3 Semester 4 Course offer for Semestre 1 (2026-2027 Winter) Intelligent Systems – Agents and Reasoning ECTS credits: 3 Course code: MICS2-36 Course title: Intelligent Systems – Agents and Reasoning Number of ECTS: 3 Course code: MICS2-36 Module(s): 1.1 Artificial Intelligence Language: EN Mandatory: No The objective of this course is to provide a solid foundation in intelligent systems, with a focus on symbolic techniques for structured knowledge representation and agent reasoning. By the end of the course, students will be able to: Understand the central role of logical formalisms in knowledge-based systems. Differentiate between syntactical and semantical concepts of logical systems. Understand key model-theoretic concepts, e.g., interpretations, validity, and satisfiability. Understand proof-theoretic concepts such as proof calculi, soundness, and completeness. Define and use classical propositional logic (PL) and classical first-order logic (FOL) to represent facts and properties. Apply software to model reasoning problems, e.g., model generation using IDP3. The topics of the course are as follows:– Semantics vs. proofs– Propositional logic: Syntax and semantics– First-order logic: Syntax and semantics– Proof calculi, soundness and completeness– Modelling natural language in formal logicThe exact lecture plan is as provided on the Moodle system and updated continuously. Mid-term Exam (40%): Focuses on L1-L5 Project (20%): Focuses on applying FOL to practical reasoning problems using tools like IDP3. Final Exam (40%): Covers the entire course, with an emphasis on L6 and L7 Learning material such as the exercise sheets and literature will be pro
Admission Requirements
Admissions To apply for a programme at the University of Luxembourg, candidates must comply with the general eligibility criteria for the chosen programme type and be selected by the study programme based on the quality of their application. The programme at a glance – 120 ECTS Duration: 2 years / 4 sem Teaching languages: EN Admissions: EU: 1 Feb 2026 – 15 Jul 2026 Non-EU: 1 Feb 2026 – 24 Mar 2026 Fees: 400€/ sem. (semester 1,2,3,4) Format: Full-time programme (Part-time student status allowed) Dates coming soon Specific information for this programme Requirements Bachelor’s degree or equivalent qualification in computer science, a relevant scientific or technical field, or mathematics. Basic Documents: Photo ID Copy of ID card or passport Proof of health insurance with validity date Copy of Bachelor’s diploma (+ official translation if needed) Transcript of records (+ official translation if needed) Language certificate(s) Programme-Specific Documents: Motivation letter Detailed CV Certificate proving English level (B2 minimum) Result of an online survey (mandatory) English: B2 Language certificates currently accepted Scholarships A scholarship is currently offered for this Master programme: the Guillaume Dupaix International Scholarship. https://www.uni.lu/life-en/financial-support/scholarships/ scholarships.fstm@uni.lu Admissions procedure Share thisshare share email
Tuition & Financial Information
Tuition Fee
400€/semester
About University of Luxembourg
University of Luxembourg
Esch-sur-Alzette, Luxembourg
The University of Luxembourg is a public research university in Esch-sur-Alzette and Luxembourg City, Luxembourg. It was founded in 2003 and is the only public university in Luxembourg.
University Profile- Application Deadline EU: 1 Feb 2026 – 15 Jul 2026 Non-EU: 1 Feb 2026 – 24 Mar 2026 Fees: 400€/ sem. (semester 1,2,3,4) Fo
- Start Date September
- Language English
- Duration 2 years
- Credits 120
