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Introduction

  • Program Overview: The University of Lübeck offers a Master's program in Artificial Intelligence designed for professionals from computer science or other technical disciplines.

  • Mode of Study: The program is part-time, extra-occupational, and fully online, allowing students to study alongside their jobs.

  • Duration: The program spans 6 semesters.

  • Language of Instruction: The courses are taught entirely in English.

  • Tuition Fees: There are no tuition fees, but students must pay a semester fee and a one-time registration fee of €65.

  • Admission Requirements: Applicants need a Bachelor's degree in computer science or a related field, at least one year of relevant professional experience, basic knowledge in computer science, programming, and mathematics, and proficiency in English (minimum level B2).

  • Application Period: Applications for the winter term 2024/2025 are open from May 1, 2024, to July 15, 2024.

  • Program Content: The curriculum includes core courses, specialization courses, and a thesis, covering topics like machine learning, natural language processing, deep learning, and computer vision.

Program Structure [1]

  • Duration: The program lasts for 6 semesters.

  • Mode of Study: It is a part-time, extra-occupational, and fully online program.

  • Start Dates: Students can begin the program in either the summer or winter semester.

  • Credit Points: The program awards 120 ECTS credits upon completion.

  • Language: The entire program is conducted in English.

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Admission Requirements [2]

  • Bachelor's Degree: A first degree (at least Bachelor's with at least six semesters) in computer science, engineering, or a related field.

  • Professional Experience: At least one year of relevant, full-time professional experience in software engineering, project management, or systems engineering.

  • Basic Knowledge: Applicants should have basic knowledge in computer science, programming, and university-level mathematics, including linear algebra, probability theory, and statistics.

  • English Proficiency: A minimum English proficiency level of B2 is required.

  • Motivation: A motivation that aligns with the content of the Master's program.

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Application Process [3]

  • Application Period: Applications for the winter term 2024/2025 are open from May 1, 2024, to July 15, 2024.

  • Application Portal: Applicants must use the University of Lübeck's application portal to submit their applications.

  • Required Documents: School leaving certificate, Bachelor's degree certificate, certificate of exmatriculation or current certificate of enrollment, proof of professional activity, proof of English language level, curriculum vitae, and a letter of motivation.

  • Submission Deadline: All documents must be submitted within the application period.

  • Contact: For any questions or problems, applicants can contact [email protected].

Fees and Funding [4]

  • Tuition Fees: There are no tuition fees for the program.

  • Semester Fee: Students must pay a semester fee, which covers part of the costs for the student services association.

  • Registration Fee: A one-time registration fee of €65 is required for all new enrollments.

  • Funding Opportunities: There are no specific funding opportunities within the university mentioned.

  • Cost Comparison: The program is considered very affordable compared to similar programs in North America.

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Curriculum [2]

  • Core Courses: The program includes compulsory core courses in AI.

  • Specialization Courses: Students can choose from various specialization courses.

  • Thesis: The program culminates in a thesis project.

  • Topics Covered: Machine learning, natural language processing, deep learning, computer vision, parallel computing, and fairness and intelligent agents.

  • Learning Elements: The program uses a mix of online study materials, video learning, online tutorials, and flipped classroom methods.

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Career Prospects [1]

  • Skill Development: The program equips students with the skills to solve a wide range of AI problems in professional practice and research.

  • Leadership Roles: Graduates are prepared to lead extensive AI projects in business.

  • Research Opportunities: The program is research-oriented, preparing students for international research roles.

  • Industry Demand: There is a high demand for AI experts in various sectors, including industry, public sector, and academia.

  • Professional Growth: The program is designed for professionals looking to expand their competencies and take on new challenges in AI.

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