Ar­ti­fi­­ci­al In­­tel­li­­gence and Da­ta Ana­ly­t­ics (MSc)

25 ECTS credits in the area computer science, information management or computer science and information technology (IT). These 25 ECTS credits must have been acquired within the scope of a degree programme at a state or state-recognised German or foreign institution of higher education.

Of these 25 ECTS credits,  …

• a minimum of 5 ECTS credits must be in basics of business information systems/IT or information management or business IT applications,
• a minimum of 5 ECTS credits must be in practical computer science/ data processing / software development or comparable subjects (e.g. programming, databases, software engineering),
• a minimum of 3 ECTS credits must be in mathematics / statistics / quantitative methods or comparable subjects.

Yes.

The HNU bachelor’s degree programmes in the following subjects fulfil this requirement:

• Business Information Systems
• Information Management Automotive
• Information Management and Corporate Communication

If you cannot provide the 25 ECTS from the areas of object-oriented programming, database systems, IT management, business administration, mathematics and statistics, each amounting to at least 5 ECTS, then you can alternatively take oral exams (30 minutes each) at Neu-Ulm University. The exams take place online. To prepare for the oral exams, online pre-courses as well as self-study material are provided.

For the master’s degree programmes offered in English, you will need to submit evidence of level B2 English language skills with your application. This can be done in the following ways:

• corresponding results from a recognised language test (e.g. TOEFL, IELTS)
• evidence of adequate language skills from school or university transcripts
• completion of a degree programme that was verifiably taught entirely in English
• evidence that English is your native language

Non-native speakers of German are also required to provide evidence of German language skills at level A1 when enrolling.

No, the programme is free of charge. This also applies to students from other EU countries.

Semester fees are charged for enrolment and for each re-registration. Click here to find out how much they are.

If you acquired your university entrance qualification outside of the German school system, you will need to have your transcript evaluated via uni-assist (opens in a new window).

To ensure a swift and smooth procedure, we recommend registering with uni-assist at least 6 weeks prior to the end of the application period.

Please apply via uni-assist e.V (opens in a new window). and at the same time apply for your degree programme via the regular application procedure. The uni-assist evaluation does not replace the HNU application process!

To enrol in any of the programmes in which the predominant language of instruction is German, you will need to provide evidence of German level C1 language skills. Evidence of your language skills can be provided, for instance, with the following certificates:

• German Language Exam for University Admission (Deutsche Sprachprüfung für den Hochschulzugang – DSH): a minimum of DSH-2
• Test of German as a Foreign Language (TestDaF): a minimum of TDN 4 in all sub-tests
• German Language Diploma from the Conference of Ministers of Education and Cultural Affairs (Deutsches Sprachdiplom der Kultusministerkonferenz – DSD): DSD II
• Goethe Certificate C2 (Goethe-Zertifikat C2: Großes Deutsches Sprachdiplom – GDS)
• telc Deutsch C1 Hochschule

Preparation courses for language tests are offered at:

• Studienkolleg Coburg (Preparatory College)
• Augsburg University of Applied Sciences
• Ulm University

For the programmes offered in English, you will need to submit evidence of B2 level English language skills with your application. This can done in the following ways:

• corresponding results from a recognised language test (e.g. a 90-point minimum TOEFL-IBT, a 6.5-point minimum Cambridge IELTS, a 3-point minimum Cambridge BEC Vantage)
• evidence of adequate language skills from school or university transcripts
• completion of a degree programme that was verifiably taught entirely in English
• evidence that English is your native language

Non-native speakers of German are also required to provide evidence of German language skills at level A1 when enrolling.

Sched­ule

1st semester

In Neu-Ulm

• Enterprise Application Engineering
• Consulting
• Interpersonal Skills
• Strategic Management
• Digital Process Management
• Big Data and AI

2nd semester

optional: abroad

• Business Value Creation by IT
• Business Application Re-Engineering
• Advanced NLP
• Deep Learing
• Data Platform Architectures
• Elective

3rd semester

optional: abroad

• Academic Writing
• Information Systems Research
• Master Thesis
• Thesis Colloquium

Companies are undergoing constant change. Globalisation intensifies competition, and digitalisation generates enormous amounts of data (“big data”). New technologies in the area of data mining, analytical databases and graphic visualisation open up a wide range of innovative opportunities for data analysis, compression and prediction.

The strategic use of ar­ti­fi­ci­al in­tel­li­gence and da­ta ana­ly­tics creates new possibilities for converting data into knowledge. This knowledge forms a sound basis for actions, enabling deliberate company management and control and ensuring successful corporate performance management (CPM).

The master’s programme “Ar­ti­fi­ci­al In­tel­li­gence and Da­ta Ana­ly­tics” equips students with the knowledge they need to plan and implement innovative approaches for BI strategies, BI organisations and BI architectures using modern technologies. Students are trained as experts in the field of business intelligence.

During the optional semester abroad, students develop intercultural skills that prove useful in their future professional activities with international companies.

Graduates of the Ar­ti­fi­ci­al In­tel­li­gence and Da­ta Ana­ly­tics master’s programme are in a position to assist international companies in choosing, implementing, applying and maintaining business intelligence solutions. They serve the purpose of an interface, taking on the responsibility of coordinating the essential business areas of management and IT.

Typical jobs include:

• As data scientists, graduates have an intermediary role for the IT department and other specialised departments or the management and are able to create concrete analytical models for operational issues (e.g. in the area of data mining).
• As BI specialists, graduates work in the IT department, manage integrated data warehouses and are capable of selecting the data that is relevant for a specific operational task from the large volume of data available.
• As business analysts, graduates analyse business processes, designing concepts for company-wide BI strategies accordingly.
• Extensive knowledge in the areas of IT, data analysis and business management also makes graduates attractive candidates for business consulting.

The language of instruction in this degree programme is English.