IT - Artificial Intelligence and Data Analytics
AI & Big Data – Your future.
Data shapes decisions, business models, and entire industries. If you are considering a Bachelor of Science in Information Technology with a specialization in Artificial Intelligence and Data Analytics, it is worth taking a closer look at what the program offers: At the Mediadesign University of Applied Scienes, you combine solid IT fundamentals with an in-depth specialization in Artificial Intelligence and Data Analytics. You will learn how to analyze large datasets, identify patterns, and apply AI methods in a targeted way. This enables you not only to develop models, but also to use them to solve real-world challenges in areas such as healthcare, business, and Industry 4.0. Apply now for a Bachelor of Science in Information Technology at mdh!
Duration
ECTS points
Degree
Start
Language
Campus
Düsseldorf (EN)
Format
Düsseldorf (On site)
Monthly fees
Your AI & Data Analytics Specialization – Structure and Qualifications
In the Bachelor of Science (B.Sc.) program at the Mediadesign University of Applied Scienes, you can expect a structured IT degree that introduces you step by step to the core areas of information technology while offering a clear specialization in Artificial Intelligence and Data Analytics. Over the course of several semesters, you will build a strong foundation in programming, data structures, algorithms, and modern IT systems. Building on this knowledge, you will learn how to systematically collect, analyze, and interpret data using AI methods. Practical projects ensure that you apply your skills directly to real-world challenges.
Your Qualifications After Graduation
After completing your degree, you will be prepared to understand, develop, and strategically apply data-driven processes. You will combine technical expertise with analytical thinking and be able to structure complex topics clearly and effectively.
- Confidently use advanced analytics and AI tools
You will work with programming languages such as Python and R, as well as technologies like Hadoop and Spark. You will analyze large datasets, visualize results, and apply machine learning methods to support data-driven decision-making. - Interpret and communicate data strategically
You will identify patterns, derive actionable insights, and present your findings in a way that is understandable even for non-technical audiences. - Apply ethical and responsible data practices
You will address topics such as data privacy, IT security, and ethical considerations while evaluating the societal impact of data-driven decisions.
The Advantages of an IT Bachelor’s Degree at mdh
If you are looking for a Bachelor’s degree in Information Technology with a specialization in Artificial Intelligence and Data Analytics that goes beyond theory, the Mediadesign University of Applied Scienes offers a study concept with a strong practical and application-oriented focus. You will combine IT fundamentals with cutting-edge technologies and develop a profile that is highly sought after across industries.
- Practice-oriented learning
From the very beginning, you will work on real projects and learn from experienced professionals with industry backgrounds. This gives you a clear understanding of how data analytics and AI are actually used in companies. - Future-focused specialization
As part of your IT studies, you will deepen your expertise in topics such as Artificial Intelligence, Data Analytics, and Big Data, building a highly relevant and future-oriented skill set. - Strong IT foundation instead of isolated specialization
At mdh, technical fundamentals are combined with data-driven applications. You will not only learn about technologies, but also understand how they interact within larger systems. - International perspective
Thanks to the international campus environment and collaboration with students and lecturers from around the world, you will develop a global understanding of digital technologies and their applications. - Interdisciplinary approach
You will combine knowledge from computer science, data analytics, and ethics. This enables you to approach complex challenges holistically and develop responsible solutions. - Excellent career prospects
Graduates with expertise in data analytics and AI are in demand across industries — from startups and international companies to public institutions. - Strong career network
You benefit from a network of corporate partners and industry connections that support you in finding internships, working student positions, and your entry into professional life.
Your study content
The bachelor’s degree program combines solid IT fundamentals with specialized content in Artificial Intelligence and Data Analytics. Over several semesters, you will systematically build expertise in programming, data processing, and modern technologies while developing an understanding of complex systems and algorithms. The curriculum is divided into clearly structured subject areas that foster both technical competencies and analytical skills, a combination that is becoming increasingly valuable in today’s job market.
The study concept is based on seven pillars that teach both technical and interdisciplinary skills:
1. General education and scientific work
Acquisition of interdisciplinary qualifications for a successful career.
2. Fundamental IT skills
- Technical fundamentals for IT professions, including
- Technical Support Fundamentals
- Web Concepts
- Information Systems
- Software Development Fundamentals
3. Common IT basics
- Common IT basics and core competences for all students of the three BSc. IT specialisations:
- Database Systems
- Data Structure and Algorithms
- Data and Cyber Security
- Cloud Computing
4. Compulsory elective modules
Individual expansion of knowledge through elective modules from other specialisations or degree programmes.
5. Specialization in Artificial Intelligence and Data Analytics
- Fundamentals of AI and Data Analytics & Advanced AI and Data Analytics
- Programming for Data Analytics
- Data Mining
- Data Acquisition and Visualisation
- Machine Learning
- Data Ethics and Law
- Big Data Analytics
- Data Warehousing
- Computational Intelligence
6. Practice-orientated IT projects
Practical application of knowledge in real IT projects.
5. Final thesis and colloquium
Bachelor's thesis and colloquium that confirm your academic skills and open doors to further education.
Your Career Opportunities After a Bachelor’s Degree in IT
With a degree from the Mediadesign Hochschule, you qualify for a wide range of data-driven career paths. An IT bachelor’s degree with a specialization in AI and Data Analytics not only prepares you for traditional roles in artificial intelligence, but also for positions where data analysis, IT systems, and strategic decision-making work hand in hand. This unique combination makes your profile highly sought after in both the private and public sectors.
Typical Career Paths After Graduation
- Data Scientist
You analyze complex datasets, develop predictive models, and derive actionable insights to support business decisions. - AI Developer
You work on the development and customization of AI models used to automate and optimize processes. - Big Data Analyst
You structure and analyze large volumes of data and help organizations build data-driven strategies. - Machine Learning Engineer
You implement and optimize machine learning algorithms and ensure models are reliably integrated into existing systems. - Business Intelligence Analyst
You prepare and visualize data, creating the foundation for informed management decisions. - Data Ethics Specialist
You evaluate the responsible use of data and AI systems and develop guidelines for transparent and fair applications.
An IT bachelor’s degree with this specialization opens up a wide variety of career opportunities, from developing technical solutions to strategically leveraging data across industries such as manufacturing, healthcare, retail, and finance.
Who Is the Bachelor’s Degree with a Focus on AI & Data Analytics Designed For?
This degree program is designed for anyone passionate about digital technologies and eager to help shape data-driven solutions. Whether you are starting directly after high school, already have professional experience, or are looking for a career change, what matters most is not your background, but your willingness to engage with complex topics.
You should have an interest in understanding technical concepts and be motivated to independently explore new subject areas. Strong analytical thinking will help you identify patterns in data and develop structured solutions. A solid foundation in mathematics and an enthusiasm for logical problem-solving will also benefit you throughout the program.
Communication skills are equally important: both during your studies and in your future career, you will need to present results clearly and collaborate with others on projects. If you are also open to new ideas and value innovative approaches, this program offers the ideal environment for both your academic and personal growth.
Application & Admission
Admission Requirements
- Higher Education Entrance Qualification (Abitur) or equivalent diploma, i.e. IB or A-levels (check with our counseling department whether your diploma qualifies)
- Proof of English: CEFR B2, PTE 52, TOEFL IPT 543, TOEFL IBT 60, IELTS 5.5, Duolingo 95, MOI/English Proficiency Letter
Information for applicants from abroad: You have the possibility to check your international certificates independently in advance via uni-assist and to inform yourself about the requirements for your admission: TO UNI-ASSIST
>> International applicants who have not met the necessary HZB requirements need to complete the MDH preparatory programme for admission to a higher education programme at MDH.
Personal Requirements
- Passion for Technology
- Self-motivated learner
- Good communicator
- Maths skills
- Innovative thinker
- Problem solver
Your personality and talents are more important than top grades!
Please apply via e-Mail (or regular mail). This is what we need from you:
- A motivation letter (tell us what inspires you – ca. 1 page)
- Relevant grade reports as well as a resume with your current photo
- Graduation diploma can be submitted after completion of your secondary school
You may apply during the school year (even before secondary school graduation).
Tuition Fees:
- Campus Berlin: English language program: EU citizens: 3.540,00 EUR/Semester | Non-EU citizens: 6.300,00 EUR/Semester (with foundation programme 6.700,00 EUR/Semester)
- Campus Düsseldorf: English language program: EU citizens: 3.540,00 EUR/Semester | Non-EU citizens: 6.300,00 EUR/Semester
For all courses we charge a one-time registration fee of 490,00 EUR and a one-time examination fee of 1.050,00 EUR.
For non-EU citizens, the one-time examination fee of 1.050,00 EUR is included in the tuition price.
Study IT at mdh – Additional Specializations and Master’s Options
In the IT bachelor’s program at the Mediadesign University of Applied Scienes, you have the opportunity to choose an individual area of specialization and shape your professional profile according to your interests and career goals. In addition to specializing in Artificial Intelligence and Data Analytics, you can also pursue a focus in Web Applications and Software Development if you are interested in building digital applications and software solutions. Alternatively, the Cybersecurity specialization allows you to concentrate on networks, IT security, and the protection of digital systems.
After completing your bachelor’s degree, you can also take the next academic step: A master’s degree with a focus on Artificial Intelligence enables you to deepen your expertise in areas such as machine learning and data analytics while preparing you for advanced specialist and leadership roles.
FAQ
What Can I Expect from an IT Bachelor’s Degree with a Specialization in AI & Data Analytics?
A Bachelor’s degree in IT with a specialization in Artificial Intelligence provides you with a foundation in information technology, data analytics, and AI methods.
What Do You Learn in an IT Bachelor’s Degree with AI?
You will study programming, data analytics, algorithms, and machine learning. In addition, you will learn how AI is applied in real-world scenarios.
What Are the Admission Requirements?
You need a general higher education entrance qualification (Abitur), a university of applied sciences entrance qualification (Fachhochschulreife), or an equivalent recognized qualification. It is also possible to study without an Abitur through a subject-specific university entrance qualification in accordance with Section 11 of the Berlin Higher Education Act (BerlHG).
Do I Need Strong Math Skills?
Basic mathematical knowledge is helpful, especially for topics such as algorithms and data analytics. However, these subjects are further developed throughout the program.
Do I Need Programming Experience?
No. You will learn programming from scratch during your studies.
How Long Does the Program Take?
The program lasts 7 semesters and is offered as a full-time degree.
Is There a Numerus Clausus (NC)?
No, there is no Numerus Clausus (NC).
Can I Study in a Dual Program?
At mdh, the program is offered as a full-time degree. However, through hands-on projects and close industry connections, you will still gain practical experience early on.
Is There an Internship Semester?
A traditional internship semester is not formally integrated into the curriculum, but you will regularly work on practical, real-world projects.
What Career Opportunities Are Available After Graduation?
Typical career paths include Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, or AI Developer.
Is Specializing in Artificial Intelligence Worth It?
Yes. Professionals with expertise in data analytics and AI are in high demand across a wide range of industries.
Can I Pursue a Master’s Degree Afterwards?
Yes. At mdh, for example, you can continue with a Master’s degree in IT with a specialization in Artificial Intelligence.
What Role Do Ethics and Data Privacy Play in the Program?
Ethics and data privacy are integral parts of the curriculum. You will learn how to use data responsibly and consider the societal impact of data-driven technologies.
