Masters

On-Campus

High Performance Computing

University of Luxembourg

About

The Master in High Performance Computing (HPC) at the University of Luxembourg is a two-year advanced degree program designed to equip students with specialized expertise in high-performance and parallel computing technologies. The program focuses on developing strong computational skills, enabling graduates to design, implement, and optimize complex computing systems and applications. Emphasizing both theoretical knowledge and practical experience, the curriculum covers areas such as parallel algorithms, distributed systems, cloud computing, data analytics, and machine learning. Students benefit from state-of-the-art computing facilities and engage in hands-on projects and research initiatives, fostering innovation and problem-solving abilities. The interdisciplinary approach integrates concepts from...

The Master in High Performance Computing (HPC) at the University of Luxembourg is a two-year advanced degree program designed to equip students with specialized expertise in high-performance and parallel computing technologies. The program focuses on developing strong computational skills, enabling graduates to design, implement, and optimize complex computing systems and...

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University of Luxembourg

Masters
Luxembourg Luxembourg, Luxembourg
Worldwide Rankings : QS Ranking
program_about

Overview

The Master in High Performance Computing (HPC) at the University of Luxembourg is a two-year specialized graduate program aimed at developing advanced skills in computational methods, parallel and distributed systems, cloud computing, data analytics, and machine learning. The curriculum combines theoretical knowledge with hands-on projects and research opportunities, leveraging state-of-the-art computing facilities. The program adopts an interdisciplinary approach, integrating computer science, engineering, and applied mathematics, and prepares students for diverse careers in academia, research, and various industries such as technology, finance, and healthcare. Admission requires a relevant bachelor’s degree, programming proficiency, and a solid foundation in computational methods. The international and multicultural environment of the university further enhances the learning experience, equipping graduates to excel in global teams and tackle complex computational challenges.

For more detailed information, please visit the Master in High Performance Computing program page.

Program structure

The Master in High Performance Computing (HPC) at the University of Luxembourg is meticulously designed to provide a balanced mix of theoretical knowledge, practical skills, and research experience over its two-year duration. Below is an overview of the program structure:

1. Duration and Format

  • Duration: 2 years (full-time)
  • Structure: Divided into four semesters, each comprising a combination of coursework, projects, and research activities.

2. Curriculum Breakdown

First Year
  • Semester 1: Foundation Courses

    • Core Subjects: Introduction to High Performance Computing, Parallel Algorithms, Distributed Systems
    • Electives: Choose from a range of specialized topics such as Cloud Computing, Data Analytics, or Machine Learning
    • Practical Labs: Hands-on sessions to apply theoretical concepts using state-of-the-art HPC facilities
  • Semester 2: Advanced Courses and Projects

    • Advanced Core Subjects: Advanced Parallel Computing, Scientific Computing
    • Electives: Further specialization in areas like Bioinformatics, Financial Computing, or Engineering Applications
    • Mini-Project: Collaborative project to solve real-world HPC challenges, fostering teamwork and problem-solving skills
Second Year
  • Semester 3: Specialization and Research Preparation

    • Specialization Courses: Deep dive into chosen specialization areas to build expertise
    • Research Methodology: Training in research techniques, academic writing, and project management
    • Internship/Industry Project: Optional placement in an industry setting or research institution to gain practical experience
  • Semester 4: Thesis and Finalization

    • Master’s Thesis: Independent research project under the guidance of a faculty supervisor, culminating in a comprehensive thesis
    • Seminar and Defense: Presentation and defense of the thesis before a panel of experts

3. Teaching and Learning Methods

  • Lectures and Seminars: Interactive sessions led by experienced faculty members and industry experts
  • Laboratories and Workshops: Practical training using advanced HPC tools and technologies
  • Collaborative Projects: Group projects that simulate real-world HPC scenarios, encouraging collaboration and innovation
  • Research Opportunities: Access to cutting-edge research projects and facilities, promoting a strong research-oriented mindset

4. Assessment Methods

  • Examinations: Written and practical exams to evaluate understanding of core and advanced topics
  • Project Evaluations: Assessment of individual and group projects based on problem-solving and application of HPC concepts
  • Thesis Evaluation: Comprehensive review and defense of the master’s thesis, demonstrating research capabilities and expertise

5. Support and Resources

  • Academic Advising: Personalized guidance from academic advisors to help navigate the program and career planning
  • Career Services: Assistance with job placements, internships, and networking opportunities within the HPC industry
  • State-of-the-Art Facilities: Access to powerful computing clusters, specialized software, and dedicated research labs

6. Flexibility and Electives

  • Elective Courses: A wide range of elective courses allow students to tailor their studies to their interests and career goals
  • Interdisciplinary Options: Opportunities to take courses from related fields such as data science, artificial intelligence, and engineering

For more detailed information about the program structure, including specific courses and requirements, please visit the Master in High Performance Computing Programme Page.

Fees and Funding

Program Fees:

The Master in High Performance Computing (HPC) at the University of Luxembourg has different tuition fees based on the student's residency status:

  • EU/EEA Students: Approximately €1,500 per academic year.
  • Non-EU/EEA Students: Approximately €4,000 per academic year.

Please note that these fees are indicative and may vary. For the most accurate and up-to-date information, please visit the Master in High Performance Computing program page.

Funding and Scholarships:

The University of Luxembourg offers several funding opportunities to support students enrolled in the HPC Master program:

  • University Scholarships: Merit-based scholarships are available for outstanding students based on academic performance, research potential, and other criteria.

  • External Scholarships: Students are encouraged to apply for scholarships provided by external organizations, such as the European Commission’s Erasmus+ program, national scholarships, and industry-sponsored grants.

  • Assistantships and Research Grants: Opportunities for teaching or research assistantships may be available, allowing students to gain professional experience while receiving financial support.

  • Financial Aid: Information on financial aid, including loans and grants, can be accessed through the university’s financial services.

Additional Funding Options:

  • Part-Time Work: Students may have the opportunity to engage in part-time employment to support their studies.

  • Internships: Paid internships related to high-performance computing can provide both financial support and valuable industry experience.

For detailed information on program fees and available funding options, please visit the Master in High Performance Computing program page.

If you require more specific information, it is recommended to contact the university's admissions office or the program coordinator directly through the provided program page.

Scholarship Guidance

The University of Luxembourg offers a variety of scholarships to support students enrolled in the Master in High Performance Computing (HPC) program. These scholarships aim to recognize academic excellence, support research endeavors, and facilitate international collaboration, ensuring that talented individuals can pursue their studies without financial constraints.

1. University of Luxembourg Scholarships

  • Excellence Scholarships:

    • Description: Awarded to outstanding students based on academic merit, research potential, and overall achievements.
    • Benefits: May cover full or partial tuition fees and provide a monthly stipend to support living expenses.
    • Eligibility: High academic performance, strong recommendation letters, and a compelling statement of purpose.
  • Research Grants:

    • Description: Designed for students engaged in significant research projects within the HPC field.
    • Benefits: Financial support for research expenses, access to specialized equipment, and possible stipends.
    • Eligibility: Demonstrated research capabilities and alignment with faculty research interests.

2. External Scholarships

  • Erasmus+ Scholarships:

    • Description: Available to students participating in exchange programs under the Erasmus+ framework.
    • Benefits: Supports international mobility, covering travel costs, accommodation, and living expenses.
    • Eligibility: Enrollment in an Erasmus+ affiliated institution and acceptance into the HPC program.
  • Government-Funded Scholarships:

    • Description: Various national governments offer scholarships for their citizens to study abroad, including in Luxembourg.
    • Benefits: Varies by country and scholarship, typically covering tuition and living expenses.
    • Eligibility: Specific to each government’s criteria, often requiring a strong academic record and relevant field of study.
  • Private and Industry Scholarships:

    • Description: Offered by private organizations, foundations, and industry partners interested in promoting education in high-performance computing.
    • Benefits: Financial support, mentorship opportunities, and potential internships.
    • Eligibility: Varies by sponsor, generally requiring academic excellence and relevance to HPC.

3. Assistantships and Teaching Roles

  • Teaching Assistantships:

    • Description: Opportunities to assist in teaching undergraduate courses, labs, or seminars.
    • Benefits: Provides a stipend or tuition waiver in exchange for teaching responsibilities.
    • Eligibility: Strong academic performance and proficiency in relevant subjects.
  • Research Assistantships:

    • Description: Positions within faculty-led research projects in HPC.
    • Benefits: Financial support and valuable research experience.
    • Eligibility: Demonstrated research skills and alignment with project goals.

4. Merit-Based Awards

  • Academic Excellence Awards:
    • Description: Given to students who consistently demonstrate exceptional academic performance throughout their studies.
    • Benefits: Additional funding, recognition, and opportunities for academic advancement.
    • Eligibility: High GPA and continuous academic achievements.

5. Financial Aid and Support Services

  • Loans and Grants:

    • Description: Access to financial aid options, including low-interest loans and grants to help manage tuition and living expenses.
    • Benefits: Flexible repayment terms and support for various financial needs.
    • Eligibility: Varies based on financial need and academic standing.
  • Emergency Financial Assistance:

    • Description: Support for students facing unexpected financial hardships.
    • Benefits: Temporary financial relief to ensure uninterrupted studies.
    • Eligibility: Based on demonstrated need and urgency of circumstances.

6. Application Process for Scholarships

  • Automatic Consideration:

    • Some scholarships, such as Excellence Scholarships, may consider applicants automatically based on their admission application without the need for separate submissions.
  • Separate Applications:

    • Other scholarships may require students to submit additional applications, including essays, recommendation letters, and proof of financial need.
  • Deadlines:

7. Tips for Successful Scholarship Applications

  • Maintain a Strong Academic Record: Excel in your coursework to demonstrate your capability and commitment.

  • Craft a Compelling Statement of Purpose: Clearly articulate your motivation, career goals, and how the HPC program aligns with your aspirations.

  • Highlight Relevant Experience: Showcase any research projects, internships, or work experience related to high-performance computing.

  • Secure Strong Letters of Recommendation: Obtain recommendations from academic or professional references who can attest to your qualifications and potential.

  • Apply Early: Submit your scholarship applications well before deadlines to ensure consideration.

Conclusion

Scholarships are a vital resource for students pursuing the Master in High Performance Computing at the University of Luxembourg. By exploring and applying for various funding opportunities, students can secure financial support to focus on their academic and research goals.

For more detailed information on available scholarships and application procedures, please visit the Master in High Performance Computing program page.

Admission Requirements

To be eligible for the Master in High Performance Computing (HPC) at the University of Luxembourg, applicants must meet the following admission criteria:

1. Academic Qualifications

  • Bachelor’s Degree: A relevant undergraduate degree in Computer Science, Engineering, Mathematics, Physics, or a closely related field from a recognized institution.
  • Academic Performance: Strong academic record with a minimum GPA as specified by the university (typically equivalent to at least a 2.5 on a 4.0 scale or its international equivalent).

2. Technical Proficiency

  • Programming Skills: Proficiency in at least one programming language (e.g., C, C++, Python) is essential.
  • Mathematical Foundation: Solid understanding of computational methods and applied mathematics relevant to high-performance computing.

3. Language Requirements

  • English Proficiency: Non-native English speakers must provide proof of English language proficiency through standardized tests such as TOEFL, IELTS, or equivalent. Minimum score requirements are typically:
    • TOEFL: Minimum 90 (internet-based)
    • IELTS: Minimum 6.5 overall
  • French or German: While not mandatory, knowledge of French or German may be beneficial given the multicultural environment of Luxembourg.

4. Application Materials

  • Transcripts: Official academic transcripts from all previously attended institutions.
  • Curriculum Vitae (CV): Detailed CV highlighting academic achievements, relevant work experience, and any research projects.
  • Statement of Purpose: A personal statement outlining the applicant’s motivation for pursuing the HPC Master’s program, career goals, and how the program aligns with their aspirations.
  • Letters of Recommendation: Typically two to three letters from academic or professional references who can attest to the applicant’s qualifications and suitability for the program.
  • Proof of Degree: Certified copies of the bachelor’s degree certificate or expected graduation certificate.

5. Additional Requirements

  • Resume or Portfolio: Some applicants may be required to submit a resume or portfolio showcasing relevant projects, research, or work experience in high-performance computing or related areas.
  • Interview: In certain cases, shortlisted candidates may be invited for an interview as part of the selection process.

6. Deadlines and Application Process

  • Application Deadline: Prospective students should check the specific application deadlines on the Master in High Performance Computing program page as they may vary each academic year.
  • Online Application: Applications are typically submitted through the university’s online portal. Ensure all required documents are uploaded and fees are paid by the deadline.

7. Visa and Residency (For International Students)

  • Student Visa: Non-EU/EEA students must secure a student visa prior to arrival in Luxembourg.
  • Residence Permit: Upon arrival, students must apply for a residence permit to legally reside and study in Luxembourg.

8. Selection Criteria

  • Merit-Based Evaluation: Admissions are competitive and based on academic excellence, relevant experience, and the alignment of the applicant’s goals with the program’s offerings.
  • Diversity and Inclusion: The university values diversity and encourages applications from international candidates to foster a multicultural learning environment.

For the most accurate and detailed information regarding admission requirements, eligibility criteria, and the application process, please visit the Master in High Performance Computing program page.

If you have specific questions or need further assistance, it is recommended to contact the university’s admissions office or the program coordinator directly through the provided program page.

Application Procedure

Embarking on the Master in High Performance Computing (HPC) at the University of Luxembourg is a significant step toward advancing your career in the dynamic field of high-performance computing. This section provides a comprehensive guide to the application process, ensuring you have all the necessary information to submit a successful application.

1. Application Process Overview

The application process for the Master in High Performance Computing is structured to evaluate your academic qualifications, technical skills, and alignment with the program’s objectives. It involves several steps, from preparing your application materials to submitting them through the university’s online portal.

2. Eligibility Criteria

To apply for the HPC Master’s program, applicants must meet the following criteria:

  • Academic Background: Possess a bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a closely related field from a recognized institution.
  • Academic Performance: Maintain a strong academic record, typically equivalent to at least a 2.5 GPA on a 4.0 scale or its international equivalent.
  • Technical Skills: Demonstrate proficiency in programming languages such as C++, Python, or Java.
  • Language Proficiency: Non-native English speakers must meet the English language requirements (e.g., TOEFL, IELTS).

3. Required Application Documents

Ensure you have the following documents ready before starting your application:

  • Official Transcripts: Academic transcripts from all previously attended institutions.
  • Curriculum Vitae (CV): A detailed CV highlighting your academic achievements, work experience, and relevant projects.
  • Statement of Purpose: A personal statement outlining your motivation for pursuing the HPC Master’s program, your career goals, and how the program aligns with your aspirations.
  • Letters of Recommendation: Typically two to three letters from academic or professional references who can attest to your qualifications and suitability for the program.
  • Proof of Degree: Certified copies of your bachelor’s degree certificate or an expected graduation certificate.
  • Language Proficiency Test Scores: TOEFL, IELTS, or equivalent scores for non-native English speakers.
  • Resume or Portfolio (if applicable): Showcasing relevant projects, research, or work experience in high-performance computing or related areas.

4. Application Steps

Follow these steps to complete your application:

  1. Prepare Your Documents: Gather all required documents, ensuring they meet the program’s specifications.
  2. Create an Online Account: Visit the Master in High Performance Computing program page and create an account on the university’s application portal.
  3. Complete the Application Form: Fill out the online application form with accurate personal and academic information.
  4. Upload Documents: Upload all required documents in the specified formats.
  5. Pay the Application Fee: Submit the non-refundable application fee, if applicable.
  6. Submit Your Application: Review all information and submit your application before the deadline.
  7. Confirmation: You will receive a confirmation email upon successful submission of your application.

5. Application Deadlines

Application deadlines may vary each academic year. It is crucial to adhere to the following timelines to ensure your application is considered:

  • Early Admission Deadline: Typically around March 1 for non-EU/EEA students.
  • Regular Admission Deadline: Typically around June 1 for all applicants.
  • Late Admission Deadline: Applications may be considered on a rolling basis until the program is full.

Note: Always verify the exact deadlines on the Master in High Performance Computing program page as they may change.

6. How to Apply

To apply for the Master in High Performance Computing, follow these steps:

  1. Visit the Program Page: Navigate to the Master in High Performance Computing program page.
  2. Access the Application Portal: Click on the application link to access the online application portal.
  3. Register/Login: Create a new account or log in if you already have one.
  4. Fill Out the Application Form: Complete all required sections of the application form accurately.
  5. Upload Required Documents: Ensure all documents are uploaded in the correct format and meet the program’s requirements.
  6. Submit the Application: After verifying all information, submit your application.
  7. Pay the Application Fee: Complete the payment process if an application fee is required.
  8. Receive Confirmation: Await a confirmation email acknowledging receipt of your application.

7. Tips for a Successful Application

Maximize your chances of acceptance by following these tips:

  • Start Early: Begin the application process well in advance to avoid last-minute issues.
  • Clear Statement of Purpose: Articulate your motivations, career goals, and how the HPC program aligns with your aspirations clearly and concisely.
  • Strong Letters of Recommendation: Choose referees who know you well academically or professionally and can provide detailed endorsements.
  • Highlight Relevant Experience: Emphasize any research projects, internships, or work experience related to high-performance computing.
  • Proofread Your Application: Ensure all information is accurate and free of grammatical errors.
  • Meet All Deadlines: Submit your application and all required documents before the specified deadlines.

8. After Submission

Once you have submitted your application:

  • Application Review: The admissions committee will review your application materials for completeness and eligibility.
  • Interviews (if applicable): Shortlisted candidates may be invited for an interview to further assess their suitability.
  • Decision Notification: You will receive an admission decision via email. Successful applicants will receive an official offer letter outlining the next steps.
  • Enrollment: Follow the instructions in your offer letter to confirm your enrollment, arrange for tuition payment, and complete any additional requirements.

9. Contact Information

For any questions or assistance regarding the application process, please reach out to the university’s admissions office or the HPC Master’s program coordinator:


For more detailed information on the application process, requirements, and deadlines, please visit the Master in High Performance Computing program page.

If you need further assistance or have specific inquiries, do not hesitate to contact the university’s admissions team through the provided links.

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