Artificial Intelligence and Robotics

Quick Overview

University University of Technology Nuremberg
Degree Master

Degree Master of Science, M.Sc.
Study Type Second cycle
Mode of admission selection procedure / qualifying examination
Application Deadline for Selection Process 01.03.2024 — 30.06.2024
Standard period of study (amount) 4 semesters
Study Mode (elucidation) full time
Location (main / branches campus) Nürnberg
Admission semester winter semester
Subject

Das Artificial Intelligence gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Artificial Intelligence

Das Computer Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Computer Science

Das Data Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Data Science

Das Mathematics gehört zum Studienbereiche Mathematics der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Mathematics.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Mathematics

Das Robotics gehört zum Studienbereiche Mechatronics, Systems Engineering der Fächergruppe Engineering Sciences.
Weitere Informationen zum Studienbereich Mechatronics, Systems Engineering.
Weitere Informationen zur Fächergruppe Engineering Sciences.
Robotics

Field of study
- kind of Master course according to the KMK consecutive
- Main instruction language English
- Digital teaching and learning units E-Learning, Blended Learning
- Course Website
Access and Admission Requirements
- Mode of admission selection procedure / qualifying examination
- Admission semester winter semester
- - Excellent knowledge of Computer Sciences: Introduction to Computer Science, Programming, Algorithms and Data Structures, as well as one of the following subjects: Theoretical Computer Science, Computer Architecture, Computer Networks, or Software Engineering (minimum of 24 ECTS credits or equivalent).
  - Mathematical references in analysis and linear algebra (at least 18 ECTS or equivalent).
  - Necessary programming competencies in algorithms and data structures: Basic data structures (arrays, lists, stacks, queues, sets, trees, and graphs); Complexity analysis (best case, worst case, average case, Big-O notation, divide and conquer); Sorting algorithms (bubble sort, insertion sort, quicksort, mergesort, and heapsort); Searching algorithms (linear search, binary search, tree search, and graph search); Hashing techniques (open hashing and closed hashing)
  more information regarding admission requirements
- Completion of first university degree
  Bachelor/Bakkalaureus, Diplom, Diplom (FH)
  (and other qualifications, provided that they are recognised as being equivalent)
  
  For this degree programme, you should have gained your first university qualification in one of the following subjects groups or areas of study:
  - Subject group: Engineering Sciences, Mathematics, Natural Sciences
  - Area of study: Computer Science, Electrical Engineering, Engineering Physics, Mathematics, Mechanical Engineering
- Required language skills
- Required minimum language skills that must be proven by passing one or more of the following language tests:
  - Cambridge (English): C1 Advanced
  - IELTS (English): 6.5
  - TOEFL IBT (English): 90
  - TOEFL PBT (English): 577
  - Other English language certificates: Further documents can be recognized by the UTN School of StaRs (Team Student Service).
- Further admission requirements Application letter / personal statement , CV, More information: https://www.utn.de/en/study/application-to-study/
Programme Dates and Deadlines
- Wintersemester 2024/2025
- - Lecture period
  - 14.10.2024 — 07.02.2025
  - - Application Deadline for Selection Process 01.03.2024 — 30.06.2024
Studieren ohne Abitur: Zugangsbedingungen und Kontakt
- In allen Bundesländern gibt es Regelungen, die das Studieren ohne schulische Hochschulzugangsberechtigung ermöglichen - vereinfacht häufig als "Studieren ohne Abitur" bezeichnet. Mehr über den Hochschulzugang für beruflich Qualifizierte finden Sie auf unseren Informationsseiten Studieren ohne Abitur.
Contact / contact person
- International Students and applicants are kindly requested to contact the International Office:
- Welcome Center
- Street address Ulmenstraße 52i, 90443 Nürnberg
- Internetpage of the institution
- Contact / contact person for this program
- Bezeichnung Kontaktstelle UTN School of Students and Young Researchers
- Contact person UTN School of Students and Young Researchers
- Street address Ulmenstraße 52i, 90443 Nürnberg
- stars(at)utn.de
- UTN School of Students and Young
  Researchers
- Street address Ulmenstraße 52i, 90443 Nürnberg
- Internetpage of the institution
- Contact Frau Julia Spengruber
- Function Student Advisory Service
- Responsibility Student Advisory Service
- Phone 0911 92741309
- stars(at)utn.de