Artificial Intelligence for Connected Industries (M. Sc.)

The AI4CI Master is a European master program that covers fundamentals of artificial intelligence and machine learning applied to networked systems, advanced automation systems for industrial networks and robotics, and advanced network architectures, IoT, and computer systems.

Target Group

The part-time master's program 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.

Program Structure

The master program is open in several European Universities with different study modalities and is supported by the Erasmus+ framework.

Partner Universities

• Cnam, Paris (France)
• Cnam Grand-Est, Mulhouse (France)
• Avignon Université, Avignon (France)
• Universitat Politècnica de Catalunya, Barcelona (Spain)
• Universitatea Babeș-Bolyai, Cluj-Napoca (Romania)
• National Technical University of Ukraine, Kyiv (Ukraine)
• Ulm University, Ulm (Germany)

Prerequisites

• One year of qualified professional experience after the first higher education degree
• Academic degree with 180 ECTS + two years of qualified professional experience after the first higher education degree

ECTS Credits

90

Study Fee

Reduced fee for enrolled students + administration fee

Start of Study

Winter semester: October | Summer semester: April

Application Period

• For winter semester: April 1st to May 15th and June 1st to July 15th
• For summer semester: October 15th to November 15th and December 1st to January 15th

Language of Instruction

English level B2

Module Groups

The Artificial Intelligence for Connected Industries Master's Degree program is divided into Compulsory Modules, Compulsory Elective Modules, and Free Elective Modules.

Compulsory Modules

• Artificial Intelligence and Machine Learning for Connected Systems
• Master thesis

Compulsory Elective Modules

The program offers three groups of Compulsory Elective Modules:

1. Processes and Data Management
   • Big (Social) Data Analytics - Methoden und Anwendungen
   • Business Process Management
   • Data & Process Mining
   • Datacenter Design and Operations
   • Project Management - Processes, Activities and Practices
   • Numerische Methoden für Data Science
2. Systems and Networks
   • Design of Embedded Real-Time Systems
   • Industrial Internet of Things
   • Management Aspects of Systems Engineering I
   • Network Architecture
   • Systemtechnik
   • Wireless Sensor Networks
3. Automatics and Robots
   • Control System Theory and Control Engineering
   • Learning Robots
   • Modeling and Identification of Dynamic Systems
   • Pattern Recognition and Deep Learning
   • Robot Operating Systems
   • Signals and Systems

Free Elective Modules

• Free Elective Modules from the Master's Degree Programme Sensor Systems Engineering
• Free Elective Modules from the Master's Degree Programme Business Analytics
• Free Elective Modules from partner universities

Course Director

Prof. Dr. Birte Glimm

Course Coordination

Steffen Moser, Rebecca Schöninger

Study Format

The program includes self-study components with video lectures and detailed scripts, exercises, case studies, examples, and quizzes. Lecturers and mentors offer kick-off and final meetings, online seminars, and an online forum for interaction.

Contact Person

Mihriban Celik

Personal Advice

Available for interested students, including information on the degree program, study plan, fees, financing possibilities, admission statutes, and FAQs.

Service

Includes university information from A to Z, location plans, press releases, job offers, event calendars, and telephone directories.

Legal Notices

Impressum, data protection, accessibility, sign language, and easy language information are available.

Data Processing

Information on data processing by service providers, including YouTube and Vimeo, is provided, along with details on necessary cookies, external video content, and chatbot assistants.

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Overview:

University of Ulm is a public research university located in Ulm, Germany. It is known for its strong focus on research, study, and knowledge transfer. The university boasts a diverse range of academic programs and a commitment to international collaboration.

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Services Offered:

The university offers a comprehensive range of services to support students, including:

Student advisory services:

Providing guidance on academic matters, career planning, and personal development.

Psychosocial Counselling:

Offering support for students facing mental health challenges.

Events for prospective and current students:

Organizing events to inform and engage students.

Application and enrolment services:

Assisting students with the application and enrollment process.

Exam administration:

Managing exam procedures and recognition of achievements.

Continuing education programs:

Providing opportunities for professional development.

International Office:

Supporting international students and fostering global partnerships.

Centre for Educational Development:

Promoting excellence in teaching and learning.

School of humanities:

Offering programs in the humanities and social sciences.

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Student Life and Campus Experience:

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Key Reasons to Study There:

Strong research focus:

The university is renowned for its research excellence, particularly in areas like medicine, engineering, and natural sciences.

International environment:

Ulm University actively promotes international collaboration and welcomes students from around the world.

Modern facilities:

The university provides students with access to state-of-the-art facilities and resources.

Dedicated faculty:

The university boasts a highly qualified and dedicated faculty committed to student success.

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Academic Programs:

University of Ulm offers a wide range of academic programs across various disciplines, including:

Engineering, Computer Science and Psychology:

The faculty offers programs in engineering, computer science, and psychology.

Mathematics and Economics:

The faculty offers programs in mathematics and economics.

Medicine:

The medical faculty offers programs in medicine and related fields.

Natural Sciences:

The faculty of natural sciences offers programs in various scientific disciplines.

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Other:

• The university is recognized for its commitment to family-friendly policies and has received the "audit family-friendly university" certificate.
• Ulm University has been ranked among the top universities in Germany by StudyCheck.
• The university is a member of the "Universities for openness, tolerance and against xenophobia" initiative.