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Albstadt

Industrial Artificial Intelligence Albstadt-Sigmaringen University

Degree
Master's
Language of instruction
English
International support
Specialist counselling Visa matters Support with registration procedures

First impressions

Location

Albstadt

Intake

Winter and summer semester

Duration

3 semesters

Study structure

Full-time, Part-time (study alongside work)

Mode of study

Fully on-site with voluntary online elements

Tuition fees per semester

Varied

Application deadline

Application possible from the beginning of May for the winter semester and from the beginning of November for the summer semester!

Our voices

I am Vatan from India. I was looking for a Master's degree programme with a strong focus on AI and digital transformation. I found it at Albstadt-Sigmaringen University. I started my studies online from India, which was a benefit for me. The programme exceeded my expectations and I like its practical approach very much.

© Albstadt-Sigmaringen University

Vatan Thakur

Master of Science

Industrial Artificial Intelligence

Introduction to our new Master's degree programme in "Industrial Artificial Intelligence" – your perfect match to meet all upcoming challenges in the field of industrial AI applications

© Albstadt-Sigmaringen University

Programme partners

General information

About the course

Degree

You complete this study programme with the degree: Master of Science (MSc) Industrial Artificial Intelligence from Albstadt-Sigmaringen University

Course location

Albstadt

In cooperation with

Guglielmo Marconi University Rome, Italy

Language of instruction

English

Languages

Courses are held in English.

Description

In the MSc Industrial Artificial Intelligence degree programme, you will acquire comprehensive knowledge in AI-orientated Python programming, machine and deep learning as well as generative AI. You will also expand your knowledge of big data, data science and data engineering. This knowledge is supplemented by practical knowledge of application software packages from well-known manufacturers (e.g., Microsoft, SAP, Siemens, AWS), which deal with topics such as ERP systems, cloud computing, robotic process automation, business intelligence and analytics.

Experts in artificial intelligence are sought-after graduates in a rapidly growing market: according to Statista (2024), the market volume will increase from 96 billion USD in 2021 to an estimated 1,848 billion USD in 2030.

The programme combines theory and practice within the framework of projects. Learning by doing is at the centre of the programme. Different specialisations are taught in each semester:‍

  • The Industrial Operation and Transformation specialisation deals with the relevant AI application areas and the associated, marketable AI tools that shape everyday practice.
  • The Artificial Intelligence and Data Engineering specialisation provides in-depth knowledge that enables you to independently develop and refine AI tools and thus make an important contribution beyond the practical application of tools.

Full-time / part-time

Full-time, Part-time (study alongside work)

Duration

3 semesters

Intake

Winter and summer semester

Mode of study

Fully on-site with voluntary online elements

Additional information on intake, duration and mode of study

You can study full-time (regular duration three semesters) or part-time.

Application deadline

Application possible from the beginning of May for the winter semester and from the beginning of November for the summer semester!

Tuition fees per semester

Varied

Additional information on tuition fees

No tuition fees for German and EU students.

Only non-EU citizens will be charged 1,500 EUR per semester.

For students of exchange programmes and students of Erasmus programmes, there are no tuition fees.

Combined Master's degree / PhD programme

No

Joint degree / double degree programme

Yes

Further details

Course organisation

The Industrial Artificial Intelligence Master's degree programme offers lectures, seminars, labs, practical projects, etc.

Semester 1: Artificial Intelligence, Data Science, Practical Project: AI and Data Engineering, In-Depth Compulsory Elective: AI and Data Engineering, In-Depth Compulsory Elective: Industrial Operations and Transformation

Semester 2: Digital Technology and Management, Operational Excellence, Practical Project: Industrial Operations and Transformation, In-Depth Compulsory Elective: Industrial Operations and Transformation, In-Depth Compulsory Elective: AI and Data Engineering

Semester 3: Master's thesis

A Diploma supplement will be issued

Yes

International elements

  • Language training provided
  • Projects with partners in Germany and abroad
  • International guest lecturers
  • Integrated/optional study abroad unit(s)
  • Opportunities for students to work abroad

Integrated/optional study abroad unit(s) outside Germany

MSc Industrial Artificial Intelligence students can complete the double degree programme with Guglielmo Marconi University in Rome, Italy.

Course-specific, integrated German language courses

Yes

Course-specific, integrated English language courses

Yes

Online learning

Pace of course

Mixed (e.g. fixed exam dates and duration, study content can be studied at any time)

Phase(s) of attendance in Germany

Yes, compulsory

Costs & requirements

Costs

Tuition fees per semester

Varied

No tuition fees for German and EU students.

Only non-EU citizens will be charged 1,500 EUR per semester.

For students of exchange programmes and students of Erasmus programmes, there are no tuition fees.

Semester contribution

Semester fee 2025: approx. 180 EUR

Costs of living

Estimated costs per month:

  • rent: 290 to 330 EUR (depending on the type of room)
  • food: 200 to 300 EUR
  • health insurance: 130 to 150 EUR
  • leisure and travel: depends on your own budget

Requirements

Academic admission requirements

You must have a Bachelor's degree from an accredited university.

Language requirements

English: documented B2 level
German: no requirements

Technical equipment and programmes

Technical equipment: PC, headset, camera, internet connection
Programme: MS Teams
Platform: ILIAS

Application deadline

Application possible from the beginning of May for the winter semester and from the beginning of November for the summer semester!

Submit application

Please apply online: https://hisinone.hs-albsig.de/qisserver/pages/cs/sys/portal/hisinoneStartPage.faces.

In case of problems, please contact Prof Dr Sommer via e-mail.

Financing information

Funding opportunities within the institution

Scholarships:

  • "Deutschlandstipendium"
  • university-wide scholarships
  • nationwide scholarships

Find more information about the scholarships here:
https://www.hs-albsig.de/studieninfos/im-studium/stipendien
https://www.hs-albsig.de/studieninfos/im-studium/stipendien/stipendien-hochschulweit

Possibility of finding part-time employment

Part time jobs are offered in university‘s career centre.

A lot of minor qualification jobs can be found in the closer area for the first semesters.

A lot of advanced jobs for engineering students can be found directly in Albstadt or in an area up to 50 km radius in local high tech companies.

And there is the possibility to work as a student assistant at Albstadt-Sigmaringen University.

Additional support

Accommodation

Finding accommodation in Albstadt is generally pretty relaxed. There are student halls of residence and private rooms and apartments to rent.

Find more information on house hunting / finding accommodation in Albstadt: https://www.hs-albsig.de/studieninfos/vor-dem-studium/wohnungssuche.

Support for international students and doctoral candidates

  • Specialist counselling
  • Visa matters
  • Support with registration procedures

General services and support for international students and doctoral candidates

There are assistance and support services for first-year students with numerous different offers:

  • Preliminary courses (prep courses)
  • Mentoring
  • Support in mathematics
  • Kickstart semester: more time in the foundation course
  • Studying with family responsibilities
  • Study reflection – "Feel Good"

Find more about support services: https://www.hs-albsig.de/studieninfos/studieninteressierte/infos-fuer-studieninteressierte/.

Please contact Ines Cepa for further information and questions (cepa@hs-albsig.de).

Contact

Albstadt-Sigmaringen University

Engineering

Prof Dr Lutz Sommer
Poststraße 6
72458 Albstadt
Tel.: +49 75717329531

Get in touch

About us

Albstadt-Sigmaringen University

Albstadt-Sigmaringen University: Studying successfully between Stuttgart and Lake Constance

Modern laboratories, small groups, help with job searches, close contacts with companies, a personal atmosphere and professors who take their time: Albstadt-Sigmaringen University of Applied Sciences offers all of this.

Practical and service-oriented

Around 3,100 students are enrolled at two locations. Practical orientation is a top priority at the University of Applied Sciences (HAW). Students receive individual support and modern technical equipment is available for their studies.

The Career Centre offers assistance in finding an internship or job, and the International Office supports students who want to gain international experience. The university also strives to make its study and working conditions family-friendly and has been awarded the "audit familiengerechte hochschule" certificate.

Numerous forward-looking degree programmes

The university offers numerous attractive degree courses, some of which are highly specialised, at the four faculties of Business Science and Management, Engineering, Computer Science and Life Sciences.

An overview of the Bachelor's degree programmes can be found here.

An overview of the Master's degree programmes can be found here.

Three part-time online-based Master's programmes round out the profile:

  • Data Science
  • Digital forensics
  • Impact Innovation and Business Development

In the rankings of the Centre for Higher Education Development (CHE), the Albstadt-Sigmaringen University of Applied Sciences and its degree programmes are consistently in the top groups.

Applied research

The university is active in research in its various subject areas. There are many opportunities to work on research projects, especially for students on Master's degree courses. The Institute for Applied Research (IAF) bundles and promotes these activities. It is also an important link between companies with research tasks and the university.

Fact check

  • Locations: Albstadt and Sigmaringen
  • Founded: 1971
  • Study programmes: 33 (Bachelor's and Master's)
  • Students: approx. 3,100 (plus continuing education students), around 54 percent in Albstadt and around 46 percent in Sigmaringen
  • Faculties: four (Engineering, Business Science and Management, Life Sciences, Computer Science)
  • Professors: 78 (as of 1 September 2023)
  • International partner universities: approx. 40 worldwide

University facts

  • 3,100
    Students
  • 33
    Study programmes (Bachelor's and Master's)

Location

Study in a region of hidden champions!

The two university locations of Albstadt and Sigmaringen are home to many world market leaders, so-called hidden champions, which offer our students internships and often their first job opportunities during their studies. In addition, both locations offer a wide range of outdoor activities such as mountain biking, climbing and canoeing in summer as well as skiing, cross-country skiing and signposted winter hiking trails in winter.

Studying in Albstadt

The MSc degree programme Industrial Artificial Intelligence is located at the campus Albstadt.

The university location Albstadt offers:

  • Studying in a region of hidden champions with numerous internship and job opportunities
  • Affordable rents in the immediate vicinity of the university, e.g. in student halls of residence
  • A central location right next to the pedestrian zone with lots of shops, cafés and supermarkets
  • A varied range of sports and leisure activities, e.g. climbing in the high ropes course, hiking on the eaves paths, swimming in the natural or adventure pools, mountain biking on the downhill trail, and more
  • Additional offers, such as career planning seminars or language courses
  • Parking facilities, e.g. in the parking garage directly next to the university
  • Good public transport connections with occasional free travel in the "naldo" (Neckar-Alb-Donau) transport association
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