The AI4CI Master is a European master program which covers:
The lecturers include world-class academics from our European partners and industry experts.
The master program is open in the following European Universities with different study modalities. It is supported by the Erasmus+ framework.
Partner Universities:
Prerequisites: academic degree with 210 ECTS + one year of qualified professional experience or academic degree with 180 ECTS + two years of qualified professional experience
ECTS Credits: 90
Study fee: XXXXX Euro
Start of study: winter semester: october | summer semester: april
Language of instruction: English
The Artificial Intelligence for Connected Industries degree program is divided into Compulsory Modules, Compulsory Elective Modules and Free Elective Modules. There are three Groups of Compulsory Elective Modules, form witch at least 12 CP must be achieved each.
Free Elective Modules can be elected either at partner universities – including the Conservatoire National des Arts et Métiers (CNAM, Paris France) and CNAM Grand Est (Mulhouse, France), Avignon Université (Avignon, France), Universitat Politècnica de Catalunya (Barcelona, Spain), National Technical University of Ukraine (Kyiv, Ukraine), and Universitatea Babeș-Bolyai (Cluj-Napoca, Romania) – or of the programs Sensorsysstemtechnik (Sensor Systems Engineering) and Business Analytics at Ulm University. A minimum of 6 CP must be achieved from modules of the Free Elective Modules Group. A list of applicable modules is available at the examination board.
The course intercalates theoretical lectures and lab sessions. The main idea consists of presenting the theoretical background of a specific subject, followed by a lab session in which students will learn more details about each model and algorithm with practical examples using the most popular tools and libraries available. The course includes hand-on lab sessions with practical assignments, some of which are evaluated.
Semester time: winter and summer semester
Credits points according to ECTS: 6
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
XXX
Semester time: winter semester
Credits points according to ECTS: 30
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
To the module
In diesem Modul lernen Teilnehmer, Geschäftsprozesse auf fachlicher Ebene zu analysieren, modellieren und optimieren. Ferner erhalten sie fundierte Einblicke in deren digitale Transformation und Automation mittels prozessorientierten Informationssystemen. Sie können die für die Realisierung prozessorientierter Informationssysteme bestehenden Anforderungen benennen sowie wesentliche Charakteristika, Komponenten und Funktionen solcher Informationssysteme beschreiben und in einer Gesamtarchitektur einordnen.
Semester time: winter semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.500 Euro
Fee for contact studies: 1.620 Euro
Im Zertifikatskurs Project Management - Processes, Activities and Practices lernen Sie Techniken und Prozesse auf der Basis von Best Practices der Project Management Community kennen und wenden diese in Beispielen praktisch an. Sie lernen die Herausforderungen kennen, die Ihnen im Projektmangement begegnen, und Sie sind in der Lage Maßnahmen zum Beispiel im Risk- und Opportunity Management oder Qualitätsmanagement abzuwägen, um fundierte Entscheidungen treffen zu können um den Erfolg Ihres Projekts sicherzustellen.
Semester time: summer semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.170 Euro
Fee for contact studies: 1.290 Euro
Die Teilnehmenden erhalten fundierte Einblicke in grundlegende Methoden, Verfahren und Konzepte des Data und Process Mining. Sie können diese, unterstützt durch Softwarewerkzeuge, auf gegebene Aufgabenstellungen anwenden und ihre Analyseergebnisse angemessen präsentieren und visualisieren.
Semester time: summer semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.500 Euro
Fee for contact studies: 1.620 Euro
Students can explain the essential requirements and unique challenges of wireless ad-hoc networking; they can identify differences to classical wired networks and explain them.
Semester time: winter semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.170 Euro
Fee for contact studies: 1.290 Euro
The goal of this module is to provide young prospective engineers or computer scientists with formal mathematical and methodical tools so that they are enabled to predict and avoid real-time bugs.
Semester time: winter semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.170 Euro
Fee for contact studies: 1.290 Euro
The concepts of signals and systems are powerful tools for any engineer dealing with information bearing, measurable physical quantitites. Areas of applications include, among others, communications engineering, signal processing, control engineering, and systems engineering.
Semester time: summer semester
Credits points according to ECTS: 6
Fee upon matrikulation: 1.170 Euro
Fee for contact studies: 1.290 Euro
XXX
Semester time: winter semester
Credits points according to ECTS: X
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
To the module
XXX
Semester time: winter semester
Credits points according to ECTS: X
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
To the module
XXX
Semester time: winter semester
Credits points according to ECTS: X
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
To the module
XXX
Semester time: winter semester
Credits points according to ECTS: X
Fee upon matrikulation: XXX Euro
Fee for contact studies: XXX Euro
To the module
Prof. Dr.
Birte Glimm
Steffen Moser
Rebecca Schöninger
The part-time master's program Artificial Intelligence for Connected Industries (AI4CI) is designed for professionals in technical, scientific, and engineering fields who wish to expand their knowledge of artificial intelligence (AI) and specialize in its application to connected industrial environments. It is particularly suited for professionals working in sectors such as mechanical engineering, robotics, information technology, electronics, automotive engineering, or automation technology who want to acquire hands-on expertise in AI and connected technologies.
The part-time structure of the program makes it easier for participants to balance their studies with their professional careers, thereby also accommodating students with family or other commitments.
For the self-study component of the program, video lectures and/or detailed scripts with comprehensive information about the course content are provided. These videos and scripts have been specifically developed for working professionals, following the didactic concept of Ulm University. Each microcredential/course within the program includes exercises, case studies, examples, and/or quizzes.
Your lecturer and/or mentor will offer a kick-off meeting (online, at Ulm University, or in a hybrid format), a final meeting (online, at Ulm University, or in a hybrid format), and, depending on the microcredential/course you are taking, online seminars at regular intervals. These meetings will help you navigate the exercises and engage with the learning topics. Additionally, an online forum will be available for interaction with other students, along with a video conference room for study group meetings.
Mihriban Demir
Phone: +49 (0)731/50-32401
Fax: +49 (0)731/50-32409
E-Mail: saps(at)uni-ulm.de
