Data Science & Artificial Intelligence, Master of Science

On-campus program @ Wedel University of Applied Sciences 

👉 The master's degree programme Data Science & Artificial Intelligence at the University of Applied Sciences Wedel is aimed at graduates with a background in computer science, business, or a comparable field who wish to specialise in application-oriented, data-driven projects. The three-semester course (following a 210 ECTS bachelor’s degree) imparts advanced knowledge in mathematics, computer science, artificial intelligence, and digitalisation. A focus lies on practical projects, close company collaboration, and individual specialisation in areas such as e-commerce, computer science, engineering, or marketing & media. Admission is without a numerus clausus, although a selection process may apply. The programme is available full-time, part-time, or as a dual model (Master+). Career prospects exist across various industries.

At a Glance

🏫 University Wedel University of Applied Sciences, UAS based in Wedel (Germany)
The University of Applied Sciences Wedel gGmbH is a private, non-profit, and state-recognised university in Schleswig-Holstein near Hamburg. It offers eleven bachelor's and six master's programmes in the fields of computer science, engineering, and business. On its modern campus with extensive technical equipment, the university enables around 1,300 students to receive a practice-oriented education. Through close collaborations with companies and an international network, FH Wedel promotes the employability of its graduates and supports global exchange.
🎓 Field of Study Information SciencesData Science & AI
📜 Degree Master of Science (M.Sc.)
⏳ Duration 3 Semesters
🎯 ECTS 90 Credit Points
🌍 Language of Instruction German
📖 Course contents Empirical Research & Analysis Methods, Econometrics, Learning & Soft Computing, Deep Learning, Deep Learning Seminar, Specialisation, Organisation Theory & Strategic Management, Agile Project Management & Change Management, Deep Learning Project, Methods of Artificial Intelligence, Digital Transformation, Master's Thesis/Colloquium
📍 Location Wedel
📅 Enrollment Winter or summer semester
💶 Fees
from 2370 € Semester fee
from 7110 € total
🔗 More Info View Vendor Profile

Who is the Master's Degree in Data Science & Artificial Intelligence Suitable For?

The Master's programme in Data Science & Artificial Intelligence at Fachhochschule Wedel is aimed at graduates with a first university degree – especially from computer science, mathematics, business informatics or related fields. The course is particularly suitable for individuals who already have basic knowledge in statistics, programming or data analysis and want to deepen this knowledge towards applied artificial intelligence and data science. If you wish to work interdisciplinarily, solve complex data problems and actively help shape technological innovation, this programme fits your profile. It also offers a qualifying further development for practitioners who want to take responsibility for data-driven projects in business, science or administration, or who aspire to a leadership role in the field of data science.

Admission: What Do You Need to Bring for the Application?

  • First University Degree: A Bachelor's degree with at least 210 ECTS credits in a relevant subject (such as computer science, business informatics, mathematics, engineering or comparable) is required. Applicants with 180 ECTS must individually make up additional achievements.
  • Knowledge: Solid basic knowledge of mathematics, computer science and ideally statistics or programming is expected.
  • Admission Procedures: The programme is admission-free, meaning: no numerus clausus. In exceptional cases, a selection procedure may be conducted, for example in the case of a very high number of applications.
  • Start of Studies and Deadlines: The programme starts in the winter semester (1 October, application deadline 15 September) and the summer semester (1 April, application deadline 31 March).
  • Language: The language of instruction is German; corresponding language skills are required.

Various study options are available during the programme – whether as a classic full-time study, in the part-time model (upon application) or as Master+ in cooperation with a company.

Personal Requirements and Motivation – What Should You Bring?

  • Interdisciplinary Interest: Data scientists work at the interface between IT, business, engineering and other disciplines. Openness to different disciplines and the willingness to collaborate with various expert groups are important.
  • Analytical Skills: Confident handling of numbers, models and complex data sets is essential. You should enjoy generating knowledge from data and developing creative solutions.
  • Independence and Commitment: Project-oriented work and a high degree of initiative characterise the study. The willingness to independently explore new topics through self-study is an advantage.
  • Communication Strength: Data scientists mediate between specialist departments and management. Clear communication and the ability to convey complex contexts understandably are central soft skills.
  • Digital Mindset & Curiosity: Interest in technological developments, openness to innovation and an understanding of digital transformation processes help you actively shape the rapid changes in the field of data science.

What Awaits You in the Master’s Data Science & Artificial Intelligence?

The Master’s programme in Data Science & Artificial Intelligence at the University of Applied Sciences Wedel provides you with practical knowledge about the strategic planning and implementation of projects in the field of Artificial Intelligence. The focus is on methods for data analysis and evaluation as well as current technologies from Data Science and Machine Learning. The course covers core disciplines such as mathematics, computer science, and business, and expands them in a practice-oriented manner with content from various application areas.

Core Modules and Typical Course Content

  • Empirical Research and Analysis Methods
  • Econometrics
  • Learning & Soft Computing
  • Deep Learning (including seminar and project)
  • Methods of Artificial Intelligence
  • Specialisation modules in E-Commerce, Computer Science, Engineering, Marketing & Media
  • Agile Project Management & Change Management
  • Digital Transformation
  • Organisational Theory & Strategic Management
  • Master’s Thesis/Colloquium

In the second semester, you will work on real-world tasks within the framework of an extensive project, often in close collaboration with partner companies from industry.

How Is the Course Structured?

The course is designed for three semesters full-time. A mix of theoretical knowledge transfer, practice-oriented lectures, and project work is offered. Part-time study as well as the Master+ format (dual studies with company cooperation) are also possible. The language of instruction is German.

  • Semester 1: Basic subjects and methodological competence
  • Semester 2: Projects and specialisations, academic work
  • Semester 3: Master’s thesis (possibly in cooperation with companies)

You set individual focuses by choosing your specialisation:

  • E-Commerce: Analysis and optimisation of digital business models.
  • Computer Science: Advanced software development, algorithms.
  • Marketing & Media: Digital communication and media analysis.
  • Engineering: Robotics, automation and smart systems.

A semester abroad can be planned individually. Small groups and close interaction with professors facilitate personalised learning.

What Career Prospects Are Open to You?

Expert knowledge in Data Science and Artificial Intelligence is in demand across various industries. With your degree, you will work in a wide range of sectors and companies, such as:

  • Banks, insurance companies, financial services
  • Retail companies, e-commerce, logistics
  • Medical/biotechnology
  • Market research, consulting
  • Start-ups and digital business models
  • Research & teaching

Typical positions include analyst and consultant roles, tasks as system architect, data engineer or data scientist, as well as project management or management in the field of digital transformation. FH Wedel also supports you with possible company start-ups or academic further qualifications (doctorate).

Location: FH Wedel near Hamburg

The course takes place on the campus of the University of Applied Sciences Wedel in Wedel near Hamburg. The university is known for its practice-oriented profile and close collaboration with companies in the region. All degree programmes are campus-based, so you benefit from short distances and a cooperative learning environment.

How Much Does the Course Cost and How Can I Finance It?

  • Semester fees: 2,640 EUR per semester full-time
  • Total cost (for three-semester full-time study): approx. 7,920 EUR
  • Instalment payment: Possible from the 2nd semester (440 EUR/month)

Additional costs for the semester ticket apply. In the Master+ model, the cooperating company usually covers the costs and also pays you a monthly salary. Funding opportunities are also available through scholarship programmes of FH Wedel and external partners.

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