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Applied artificial intelligence

Applied artificial intelligence

Artificial intelligence has developed from a promising technology of the future into the basis of the business models of the world's most successful companies. As a result, the potential applications of AI can be found across all industries and more and more organisations are recognising the disruptive significance of artificial intelligence. In order to bring AI into business practice, experts are now needed who can provide trend-setting impetus for the future.

The Master's in Applied Artificial Intelligence prepares you for the world of tomorrow and qualifies you as a data scientist, machine learning engineer or data engineer alongside your career. As a graduate of this degree programme, you will have the relevant basic skills in AI as well as various specialisation skills, such as for the development of deep neural networks in the fields of computer vision and text and speech understanding.

Apply now
Degree
Master of Science (M. Sc.)
Duration
4 semesters (with typical crediting)
Start of studies
Summer & Winter
Main teaching language
German
Admission restricted
No
Location
THI
Type of degree program
Full-time
ECTS
90
Accreditation
Yes

Impetus for a digital future

Curriculum Applied artificial intelligence

Presentation of curriculums
Semester
1st Semester

  1. Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz

    5 ECTS

  2. Programmieren I

    5 ECTS

  3. Programmieren II

    5 ECTS
Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz

5 ECTS
Programmieren I

5 ECTS
Programmieren II

5 ECTS

  1. Algorithmen des Maschinellen Lernens

    5 ECTS

  2. Vertiefende Mathematik und Statistik

    5 ECTS

  3. Programmierung mit KI Frameworks

    5 ECTS
Algorithmen des Maschinellen Lernens

5 ECTS
Vertiefende Mathematik und Statistik

5 ECTS
Programmierung mit KI Frameworks

5 ECTS

  1. Neuronale Netze

    5 ECTS

  2. Data Handling & Technologies

    5 ECTS

  3. Angewandtes Wissenschaftliches Arbeiten

    5 ECTS
Neuronale Netze

5 ECTS
Data Handling & Technologies

5 ECTS
Angewandtes Wissenschaftliches Arbeiten

5 ECTS

  1. Deep learning for computer vision

    5 ECTS

  2. Deep learning für Sprach- und Textverstehen

    5 ECTS

  3. Projekt

    5 ECTS
Deep learning for computer vision

5 ECTS
Deep learning für Sprach- und Textverstehen

5 ECTS
Projekt

5 ECTS

  1. Masterarbeit

    30 ECTS
Masterarbeit

30 ECTS
Curriculum Applied artificial intelligence — Overview of all semesters and modules
1. Semester
  • Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz
  • Programmieren I
  • Programmieren II
2. Semester
  • Algorithmen des Maschinellen Lernens
  • Vertiefende Mathematik und Statistik
  • Programmierung mit KI Frameworks
3. Semester
  • Neuronale Netze
  • Data Handling & Technologies
  • Angewandtes Wissenschaftliches Arbeiten
4. Semester
  • Deep learning for computer vision
  • Deep learning für Sprach- und Textverstehen
  • Projekt
5. Semester
  • Masterarbeit

Interesting Facts

  1. Target group

    University graduates with a degree in engineering, natural sciences or technology as well as computer science in Germany or abroad and at least one year of relevant professional experience, e.g. in the fields of software development, business informatics, bioinformatics/technology, electrical and information technology, data processing/analysis, aviation and automotive development or mechanical engineering.

  2. What you get

    • You will be able to competently evaluate AI-based solution approaches and their probability of success in different problems
    • You will be able to successfully carry out development and research projects in the field of AI in companies
    • You will train machine learning models independently and apply them to practical examples
    • You will learn the mathematical and statistical principles of AI and how to apply them confidently
    • You will familiarise yourself with the most important software packages and tools

Admission requirements:

  • Proof of successful completion of a technical or scientific degree programme at a German university with at least 210 ECTS credit points or equivalent or an equivalent successful domestic or foreign degree

and

  • proof of at least one year of relevant professional experience in the field of software development, business informatics, bioinformatics/technology, electrical engineering and information technology, data processing/analysis, aircraft and automotive development or mechanical engineering.

Admission is possible if you have a university degree with fewer than 210 ECTS credit points:

  • if you have a university degree with less than 210 ECTS credits or your degree is recognised with less than 210 ECTS credits, there is the possibility of crediting up to 30 ECTS credits from qualified professional experience.

Application and counselling:

For individual counselling before and during the application phase, please get in touch with your contact person at the Campus for Continuing Education. You will find the relevant contact details on this page.

Applications for this degree programme are made online. There you will receive all relevant information on the application formalities and have the opportunity to track your application progress. The application period for the summer semester begins on 15 November, for the winter semester on 2 May of each year.

University entrance qualification acquired abroad

If the higher education entrance qualification was obtained abroad, a preliminary examination of the higher education entrance qualification by uni-assist is required.

Please note that it may take 4 to 6 weeks for uni-assist to process your application.

You can find further information on applying to university from abroad on the website Applying to university from abroad.

Questions

Any questions?

Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.

Application Choice of degree programme Suitability & Authorisation Funding Life & Living Internationals

People

Study programme director

Programme manager for interested parties

Other programmes you may be interested in

  1. Digital Business Management

    Master of Business Administration (MBA)

    Digital transformation presents companies with new strategic and organisational challenges. The MBA in Digital Business Management combines management expertise with digital know-how, equipping students to successfully shape change processes, innovations and digital business models.

    About the degree program

  2. IT management

    Master of Business Administration (MBA)

    Digitalisation requires leaders who understand both technology and management. The MBA in IT Management combines strategic business management with IT expertise and prepares you for roles of responsibility at the intersection of digitalisation, innovation and business development.

    About the degree program

Applied artificial intelligence

Artificial intelligence has developed from a promising technology of the future into the basis of the business models of the world's most successful companies. As a result, the potential applications of AI can be found across all industries and more and more organisations are recognising the disruptive significance of artificial intelligence. In order to bring AI into business practice, experts are now needed who can provide trend-setting impetus for the future.

The Master's in Applied Artificial Intelligence prepares you for the world of tomorrow and qualifies you as a data scientist, machine learning engineer or data engineer alongside your career. As a graduate of this degree programme, you will have the relevant basic skills in AI as well as various specialisation skills, such as for the development of deep neural networks in the fields of computer vision and text and speech understanding.

Apply now
Degree
Master of Science (M. Sc.)
Duration
4 semesters (with typical crediting)
Start of studies
Summer & Winter
Main teaching language
German
Admission restricted
No
Location
THI
Type of degree program
Full-time
ECTS
90
Accreditation
Yes

Impetus for a digital future

Curriculum Applied artificial intelligence

Presentation of curriculums
Semester
1st Semester

  1. Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz

    5 ECTS

  2. Programmieren I

    5 ECTS

  3. Programmieren II

    5 ECTS
Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz

5 ECTS
Programmieren I

5 ECTS
Programmieren II

5 ECTS

  1. Algorithmen des Maschinellen Lernens

    5 ECTS

  2. Vertiefende Mathematik und Statistik

    5 ECTS

  3. Programmierung mit KI Frameworks

    5 ECTS
Algorithmen des Maschinellen Lernens

5 ECTS
Vertiefende Mathematik und Statistik

5 ECTS
Programmierung mit KI Frameworks

5 ECTS

  1. Neuronale Netze

    5 ECTS

  2. Data Handling & Technologies

    5 ECTS

  3. Angewandtes Wissenschaftliches Arbeiten

    5 ECTS
Neuronale Netze

5 ECTS
Data Handling & Technologies

5 ECTS
Angewandtes Wissenschaftliches Arbeiten

5 ECTS

  1. Deep learning for computer vision

    5 ECTS

  2. Deep learning für Sprach- und Textverstehen

    5 ECTS

  3. Projekt

    5 ECTS
Deep learning for computer vision

5 ECTS
Deep learning für Sprach- und Textverstehen

5 ECTS
Projekt

5 ECTS

  1. Masterarbeit

    30 ECTS
Masterarbeit

30 ECTS
Curriculum Applied artificial intelligence — Overview of all semesters and modules
1. Semester
  • Wahlpflichtmodule: Mathematik & Statistik, Methodenkompetenz, Selbst- und Sozialkompetenz am Arbeitsplatz
  • Programmieren I
  • Programmieren II
2. Semester
  • Algorithmen des Maschinellen Lernens
  • Vertiefende Mathematik und Statistik
  • Programmierung mit KI Frameworks
3. Semester
  • Neuronale Netze
  • Data Handling & Technologies
  • Angewandtes Wissenschaftliches Arbeiten
4. Semester
  • Deep learning for computer vision
  • Deep learning für Sprach- und Textverstehen
  • Projekt
5. Semester
  • Masterarbeit

Interesting Facts

  1. Target group

    University graduates with a degree in engineering, natural sciences or technology as well as computer science in Germany or abroad and at least one year of relevant professional experience, e.g. in the fields of software development, business informatics, bioinformatics/technology, electrical and information technology, data processing/analysis, aviation and automotive development or mechanical engineering.

  2. What you get

    • You will be able to competently evaluate AI-based solution approaches and their probability of success in different problems
    • You will be able to successfully carry out development and research projects in the field of AI in companies
    • You will train machine learning models independently and apply them to practical examples
    • You will learn the mathematical and statistical principles of AI and how to apply them confidently
    • You will familiarise yourself with the most important software packages and tools

Admission requirements:

  • Proof of successful completion of a technical or scientific degree programme at a German university with at least 210 ECTS credit points or equivalent or an equivalent successful domestic or foreign degree

and

  • proof of at least one year of relevant professional experience in the field of software development, business informatics, bioinformatics/technology, electrical engineering and information technology, data processing/analysis, aircraft and automotive development or mechanical engineering.

Admission is possible if you have a university degree with fewer than 210 ECTS credit points:

  • if you have a university degree with less than 210 ECTS credits or your degree is recognised with less than 210 ECTS credits, there is the possibility of crediting up to 30 ECTS credits from qualified professional experience.

Application and counselling:

For individual counselling before and during the application phase, please get in touch with your contact person at the Campus for Continuing Education. You will find the relevant contact details on this page.

Applications for this degree programme are made online. There you will receive all relevant information on the application formalities and have the opportunity to track your application progress. The application period for the summer semester begins on 15 November, for the winter semester on 2 May of each year.

University entrance qualification acquired abroad

If the higher education entrance qualification was obtained abroad, a preliminary examination of the higher education entrance qualification by uni-assist is required.

Please note that it may take 4 to 6 weeks for uni-assist to process your application.

You can find further information on applying to university from abroad on the website Applying to university from abroad.

Questions

Any questions?

Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.

Application Choice of degree programme Suitability & Authorisation Funding Life & Living Internationals

People

Study programme director

Programme manager for interested parties

Other programmes you may be interested in

  1. Digital Business Management

    Master of Business Administration (MBA)

    Digital transformation presents companies with new strategic and organisational challenges. The MBA in Digital Business Management combines management expertise with digital know-how, equipping students to successfully shape change processes, innovations and digital business models.

    About the degree program

  2. IT management

    Master of Business Administration (MBA)

    Digitalisation requires leaders who understand both technology and management. The MBA in IT Management combines strategic business management with IT expertise and prepares you for roles of responsibility at the intersection of digitalisation, innovation and business development.

    About the degree program
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