Master (MSC) in Artificial Intelligence

Program Overview

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Master (MSC) in Artificial Intelligence in Germany

Overview

Study Contents

Career

Fees

Recognition of achievements

Admission Requirement

FAQ

Start your Master's in Artificial Intelligence in Germany with IU

Embark on a fruitful and promising academic journey by pursuing a Master's in Artificial Intelligence in Germany at IU. Benefit from our blend of on-campus learning and online courses, which will provide you with a unique advantage over your peers. Here are key benefits:

• Experience a flexible, supportive, and diverse learning culture
• Benefit from lower entry requirements compared to public universities
• Take advantage of cutting-edge learning resources and industry partnerships
• Join the rising demand for AI skills in Germany’s high-growth industries

Study In Small Groups

Collaborate with your peers in tutorials and work closely with your tutors

18-Month Post-study Visa

Kickstart your dream career in Germany after graduation

96% Recommendation Rate

Our alumni highly recommend us to their friends and family

Your degree summed up

All of our study programmes are in English!

Degree Programme

M.Sc.

120 ECTS credits

Language:

English

Mode of Study:

On campus in Germany

Accreditation & Recognition

Accreditation

Accredited in line with German and European standards 120 ECTS - EN: AR-Siegel, ZFU: c

ZFUc

Recognition

Your degree is Internationally recognised and can easily be transferred to another country

Tuition Fees & Scholarships

Tuition Fees
Starting from 530€ per month

Online application

No application fees

Study Duration

Study start
October, April

Duration

24 months

Master's in Artificial Intelligence on-campus curriculum

Our Master's in Artificial Intelligence programme at IU, with its emphasis on cutting-edge research, practical applications, and collaboration with industry partners, is designed to provide you with the best return on your investment. It will prepare you to:

• Understand advanced concepts of Artificial Intelligence
• Analyse and solve complex AI-based problems
• Develop life-long skills in AI, Data Engineering, and Technical Leadership
• Work with real-world AI applications

From the very first semester, you'll delve into sophisticated AI topics, encompassing both the technical and societal aspects of Artificial Intelligence. By the end of the programme, you'll have a comprehensive understanding of AI and its related fields, and will be ready to tackle real-world challenges in the ever-evolving technological landscape.

Here's how you'll reach those goals in four simple semester steps:

Semester 1

• ModuleECTS credits**
• Artificial Intelligence5
• Advanced Mathematics5
• Use Case and Evaluation5
• Seminar: AI and Society5
• Advanced Statistics5
• Project: AI Use Case5

Semester 2

• ModuleECTS credits**
• Programming with Python5
• Machine Learning5
• Deep Learning5
• NLP and Computer Vision5
• Inference and Causality5
• Reinforcement Learning5

Semester 3

• ModuleECTS credits**
• Software Engineering for Data Intensive Sciences5
• Seminar: Current Topics in AI5
• Electives A*10
• Electives B*10

Semester 4

• ModuleECTS credits**
• Master Thesis30

Electives Overview

* This course comes with admissions requirements. Please consult the module handbook for more information.

• ModuleECTS credits**
• Choose one module from Electives A
• User Interface and Experience5
• Project: Human Computer Interaction*5
• IT Project Management5
• Project: Technical Project Planning*5
• Advanced NLP and Computer Vision*5
• Project: NLP and Computer Vision*5
• Data Engineering5
• Project: Data Engineering*5
• Concepts of FinTechs and Artificial Intelligence5
• Fraud Detection FinTechs*5
• Architectures of Self-Driving Vehicles5
• Case Study: Localization, Motion Planning and Sensor Fusion5
• Concepts of Artificial Intelligence in Supply Chain Management*5
• Multi-Agent Systems*5
• AI in Healthcare*5
• AI in Medical Imaging and Diagnostics*5
• Introduction to AI in E-Commerce and Marketing*5
• Demand Forecast and Inventory Control*5
• AI in Production*5
• Project: Industrial Internet of Things*5
• Natural Language Processing*5
• Voice Assistants*5
• Image Processing and Low Level Vision*5
• Mid-Level Vision and Video*5
• Internship10
• Choose one module from Electives B
• Leadership5
• Strategic Management5
• Global Brand Management5
• Sales and Pricing5
• International Consumer Behavior5
• Applied Marketing Research5
• Corporate Finance5
• Advanced Corporate Finance5
• Change Management5
• Innovation and Entrepreneurship5
• Industrial and Mobile Robotics5
• Project: Collaborative Robotics5
• Robo Advisory*5
• AI in Fintech*5
• Functional Security5
• Computer Vision for Autonomous Systems5
• Demand Forecast and Inventory Control*5
• Artificial Intelligence in Procurement*5
• Medical NLP*5
• Medical Robotics and Devices*5
• AI in Marketing and Analytics*5
• Personalization and Recommender Systems*5
• Industrial Automation5
• Computer Vision for Autonomous Systems5
• NLP in Education*5
• NLP for Accessibility*5
• High-Level Vision*5
• Project: Computer Vision*5
• Internship10

Start your career in Berlin

Our German campus in Berlin is in the best position for IU graduates to gain access to the EU labour market.

IU Berlin

Study in Germany’s capital city, home to some of the world’s biggest and most well-known companies. Berlin boasts a thriving community of expats, a relatively cheap cost of living, and an energetic start-up scene that’s ideal for creatives and the self-employed. The redevelopment of Tegel Airport into a science and technology park will also create 20,000 new jobs in R&D for the tech, sustainability, and engineering sectors.

All the support you need, any time of day

With this programme, you’ll have access to human and AI-powered tutoring.Your tutors will be available to answer any questions, and you’ll have recurring appointments where you can discuss course topics with them and other students.

Syntea,** IU’s AI-powered tutor, will be available 24/7 to guide you through your courses and prepare you for exams.

Study your way, and master working with AI at the same time.

Master's in Artificial Intelligence career opportunities

With a rapidly expanding AI industry, Germany boasts numerous career prospects for AI Master's graduates. With an impressive AI ecosystem fuelled by robust research, development, and funding, securing a masters in robotics and artificial intelligence in Germany will put you at the forefront of cutting-edge industries. Here are three prominent job profiles you can venture into:

AI Specialist

As an AI Specialist, you'll develop advanced AI models and algorithms, defining the course for various industry solutions. You'll play a significant role in AI architecture development, troubleshooting, and deployment, contributing directly to technological advancements.

Data Engineer

Data Engineers handle the development, construction, and maintenance of architectures. You'll be tasked with managing large-scale processing systems and working closely with data-driven applications, ensuring they have timely, accurate information.

Technical Project Lead

In the role of a Technical Project Lead, you'll lead AI projects, supervising the entire project lifecycle. You'll coordinate teams, manage resources, ensure project timelines, and deliver quality solutions as per client requirements.

On campus study model and fees for your Master degree in Artificial Intelligence

At IU, we believe in full transparency – so there are no hidden fees. You only pay for your tuition and the one-time campus registration fee of €1,500.

No registration or administration fees are charged when you apply for studying – you'll only be charged once your studies have started. If you won't be admitted to a programme because you do not meet the admission requirements, no fees will be charged.

FULL-TIME

Duration 24 Months

Participate in real-time tutorials with tutors and a small group of students, while still having maximum flexibility to combine work and studies.

556€

530€

/mth

Additional Charges

Do you have any questions?

Visit our FAQ page or get in touch with our Study Advisors.

Recognition of previous achievements

Have you already completed a training course, studied at a university or gained work experience? Have you completed a course or a learning path through IU LinkedIn Learning , and earned a certificate? Then you have the opportunity to get your previous achievements recognised, and complete your studies at IU sooner.

• Save time: Skip individual modules or whole semesters!

Even before you apply for a study programme, we’ll gladly check whether we can take your previous achievements into account: 100% online, no strings attached. Simply fill in our recognition application form, which you can receive from your study advisor or the Recognition Team (recognition-).

Recognition documents

• Guide to Recognition
• Individual Application for Recognition

Entry requirements

You can start your desired study programme at IU International University of Applied Sciences if you meet the requirements. It is important to note that students from India, China and Vietnam require the APS certificate to validate their academic documents. Make sure to check if you need it .

The admissions documents must be provided in English or German; a translation is required if not issued in one of these two languages. If you need to translate your documents, we can help by referring you to our trusted translation partners. You can find more details .

General admission requirements

• Completed undergraduate degree from a public or officially recognised university/higher education institution.
• You will need to have 180 ECTS credits.
• You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree
• Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies

Addition specialist knowledge

To study the 60 ECTS credits****programme , you will need to have taken courses “Programming with Python” and “Advanced Mathematics” or demonstrate equivalent knowledge. You can take these courses online with us for free.

Work experience

• Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).

You can provide us a translation of your employment contract and your pay slip or you can ask your company to fill out this form in English, sign it, apply the company stamp and send it to us:

Proof of work experience (EN)
Proof of work experience (NL)
Proof of work experience (ES)
Proof of work experience (IT)
Proof of work experience (FR)

English language skills

We accept the following English language skills certificates*:

• TOEFL (minimum 80 points)* or
• IELTS (minimum Level 6)* or
• Duolingo English Test (minimum 95 points)* or
• Cambridge Certificate (minimum Grade B)*

*Proof must not be older than five years.

Alternative ways to prove your English language skills:

• Educational background : If your previous studies were conducted in English, you are exempt from providing an official test. Simply submit your high school or university transcripts indicating that English was the language of instruction, or provide a medium of instruction letter. Note: A high school medium of instruction letter is valid for five years, while a university-issued one has no expiration date.
• If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.

Get in touch with our study advisors for more details.

FAQs on your Master's in Artificial Intelligence in Germany

Is Germany a good place to study artificial intelligence?

Indeed, Germany is recognised as a major hub for artificial intelligence. With a rich ecosystem of tech companies, start-ups, research institutions, and the government's strategic focus on AI, Germany offers immense opportunities for AI professionals. For students aiming to get a Master's in Artificial Intelligence in Germany, they can not only expect world-class and future-oriented education but also exciting career prospects post-graduation.

How long does it typically take to complete a Master's in AI in Germany?

Typically, a full-time Master's in Artificial Intelligence in Germany takes two years to complete. For instance, the AI Master's programme at IU is a 120 ECTS (European Credit Transfer and Accumulation System) programme spread over four semesters. The final semester is dedicated to the Master's thesis.

What is the Master's in Artificial Intelligence in Germany?

A Master's in Artificial Intelligence in Germany is a postgraduate programme that equips students with in-depth knowledge and skills in artificial intelligence. Courses in AI Master's programmes cover a variety of topics ranging from basic AI principles to advanced concepts like machine learning, deep learning, neural networks, reinforcement learning, and more. Unique to the IU, students also have the flexibility to choose elective modules according to their career interests.

What career prospects are available after completing a Master's in AI in Germany?

Artificial Intelligence graduates have a wide range of career opportunities due to the increasing demand for AI professionals in diverse industries. You could work as a Data Engineer, Technical Project Lead, or an AI Specialist. Germany, with its vibrant tech landscape and numerous multinational companies, offers many job opportunities for students who have completed a Masters in Robotics and Artificial Intelligence in Germany or a general AI Master's. Furthermore, Siemens, SAP, and other German tech giants regularly hire AI graduates, making Germany an attractive destination for AI professionals.

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