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Artificial Intelligence, B.Sc.

Faculty of Computer Science

COURSE OVERVIEW

Career Prospects

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WE PROVIDE SUPPORT FOR INTERNSHIPS, STARTING A JOB IN A COMPANY, OR SETTING UP YOUR OWN BUSINESS

Course Content

Artificial intelligence enriches every area of life

In the exciting world of artificial intelligence, you will learn to programme computers so that they can make independent decisions and perform tasks that are normally done by humans. As a student on the all-English Artificial Intelligence degree programme you will acquire the specialist knowledge required to build AI systems. In the beginning, the programme covers basic topics such as mathematics, programming, algorithms and data structures, operating systems, networks and databases. As you progress, you will explore complex AI topics such as machine learning, computer vision, natural language processing, big data, deep learning, autonomous robotics and computational logic.

In the sixth and seventh semesters, you can customise your studies by taking elective courses that match your interests and personal focus, such as healthcare, mobility, energy management, production, shared-cost services/providers or gaming. This English-language bachelor's degree programme also provides excellent preparation for an international working environment.

After successfully completing your studies, you will be able to use AI solutions to solve problems in specialist departments. AI also enables better management of limited resources, strengthening the balance between economic and ecological sustainability.

details & Downloads

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Degree

Bachelor of Science (B.Sc.)

Study typ

Full-time

Duration

7 semesters

ECTS points

Start

Winter semester

Location

Deggendorf

Taught in

English
We also offer the degree program with German as the language of instruction: B.Sc. Künstliche Intelligenz

A distinctive feature of the degree program is that first-semester lectures can be attended either on the Deggendorf campus or online from home (the decision rests with the lecturer). However, exams must be taken on campus.

Details & Bewerbung

Application period

April 15 – June 15

Admission requirements

University entrance qualification from Germany, or for international degrees please consult the DAAD website.
Admission Test (Task areas: mathematics with differential calculus, linear algebra and probability theory as well as logic and computer science at upper secondary level).
- Further information: Assessment Test
- For optimal preparation: Example Admission Test
- To check your results: Example Admission Test with solution
The test for admission to the winter semester is expected to take place in May and June. It is not possible to choose the date. You will be invited to an appointment if you are deemed suitable.
Language Requirements

Prerequisites

Knowledge of basic STEM subjects is an advantage

Fees

No tuition fees, only student union fee
International students from non-EU/EEA countries are required to pay service fees for each semester. Click here to read about our service fees.

Links & Kontakt

Quick links

Postgraduate degree programs

Master Applied Computer Science
Master of Applied Research in Engineering Sciences
Master Business Informatics
Master Artificial Intelligence/Data Science

Advice & contact

Information about the programme content: ain-b-info@th-deg.de
General info on studying at DIT: prospective student advisors
Insight from students: Ask the student

DEGGENDORF CAMPUS

The Deggendorf campus is modern and international—a welcoming, close-knit environment for study, teaching, and research. It is situated right on the Danube, at the gateway to the Bavarian Forest. Here, academic excellence and quality of life go hand in hand.

Do you have questions about the degree program or student life at DIT? Then feel free to contact Xueying, Alif or one of ourstudent ambassadors directly.

Course Content

1. Semester	SWS	ECTS
Mathematics 1	4	5
Programming 1	4	5
Foundations of Computer Science	4	5
Operating Systems and Networks	4	5
Introduction to Artificial Intelligence	4	5
Key Competencies 1	4	5

2. Semester	SWS	ECTS
Mathematics 2	4	5
Programming 2	4	5
Algorithms and Data Structures	4	5
Internet Technologies	4	5
Computational Logic	4	5
Key Competencies 2	4	5

3. Semester	SWS	ECTS
Databases	4	5
Statistics	4	5
Project Management	4	5
Assistance Systems	4	5
AI Programming	4	5
Key Competencies 3 or German	4	5

4. Semester	SWS	ECTS
Natural Language Processing	4	5
Human Factors and Human-Machine Interaction	4	5
Machine Learning	4	5
Computer Vision	4	5
Software Engineering	4	5
Key Competencies 4 or German	4	5

5. Semester	SWS	ECTS
Internship (Internship, Internship-Accompanying Course 1, Internship-Accompanying Course 2)		30

6. Semester	SWS	ECTS
Seminar Current Topics in AI	4	5
Autonomous Robotics	4	5
AI Project	4	5
Deep Learning/Big Data	4	5
Compulsory Elective 1	4	5
Key Competencies 5 or German	4	5

7. Semester	SWS	ECTS
Compulsory Elective 2	4	5
Compulsory Elective 3: AI Applications 1	4	5
Compulsory Elective 4: AI Applications 2	4	5
Bachelor Seminar	2	2
Bachelor Thesis	12	12

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good to know

What are the admission requirements?

Admission is based on a combination of the required university entrance qualification (document verification via anabin) and an admission test.

What does the admission test cover? Is there a sample test?

The admission test consists of multiple-choice questions in mathematics (including differential calculus, linear algebra, and probability), as well as logic and computer science at an advanced high school level. You will also need to write an essay of 200 to 300 words. Here you can find a sample test. After completing the test, you can view the solutions.

What language skills do I need?

FFor admission, you need English proficiency at the B2 level. You must also demonstrate German proficiency at the A2 level by the end of your studies. You can find the specific language requirements here.

Can I study the first semester online?

There is no mandatory attendance for lectures in the first semester. However, it is up to the lecturers to decide how they make their materials available online (live participation in the lecture, lecture recordings, or uploading course materials).

Are the exams offered online?

No. You must be on-site at DIT for ALL exams.

career prospects

Almost every industry needs automated decision-making by means of AI in order to remain competitive. Examples of artificial intelligence applications include automated driving, smart homes, facial recognition, music streaming, medical image processing and diagnostics, predictive maintenance, navigation, robotics and digital voice assistants. You will be able to work in all of these areas. As a graduate, you will be able to analyse data, develop AI systems, manage AI projects, advise managers and clients on these topics and conduct research in the field of AI. With extensive ongoing investment in AI by companies and governments, there are many job opportunities for you, such as:

Data scientist
AI engineer
Software engineer
Consultant
Business developer
Project manager
Researcher

There are potential employers for graduates of this degree programme in all sectors, particularly in the software industry. However, another option for you is to start your own business after graduating.