Englisch 
Deutsch 
The Central State Office for Distance Learning (ZFU) has approved the course Data Science under the number 1111420c. Who is the Master’s in Data Science suitable for?
The distance learning Master of Science in Data Science at AKAD University is primarily aimed at professionals with a first university degree in a technical-mathematical or computer science-related field. The degree programme is suitable if you want to deepen your knowledge in data analysis, machine learning, and big data and specifically qualify for roles as a Data Scientist, Data Science Consultant, or Data Science Developer. You fit the target group if you want to shape your career in data-driven companies and already work analytically or have programming skills.
Admission requirements in detail
To be admitted to the distance learning Master of Science in Data Science, you must meet the following requirements:
- Completed university degree in one of the subjects computer science, data science, mathematics, business informatics, industrial engineering, or an equivalent degree programme
- For foreign degrees: proof of German language skills, for example DSH-2, TestDaF (level 4), C1 certificate, or equivalent German school leaving qualification
Additionally required are:
- Good knowledge of advanced mathematics and statistics
- Solid fundamentals in computer science
- Compact knowledge of academic working methods, especially for independently producing academic papers
- English skills at least at level C1 of the Common European Framework of Reference for Languages (CEFR)
On a personal level, you should possess analytical thinking, openness to digital technologies, and the ability to structure complex data. Self-organisation, interest in interdisciplinary teamwork, and a willingness to engage in continuous further education are important in distance learning. If you do not fully meet some of the subject-specific requirements, these can be made up alongside your studies in a preparatory course.
What skills does the Master’s in Data Science at AKAD University provide?
In the Master’s degree programme Data Science, you acquire comprehensive skills for data-driven development and analysis across a wide range of application areas. The focus is on practical methods for extracting, preparing and analysing large data volumes (Big Data), the application of machine learning as well as the development of complex algorithms. The curriculum combines knowledge from computer science, mathematics and management:
- Fundamentals of data analysis, statistics and numerical methods
- Competencies in handling common database systems
- Programming and software engineering in the field of Data Science
- Management of digital projects and team leadership
- Project-oriented work through integrated master projects in each academic year
- Introduction to ethical and legal frameworks for data processing
- Specialisation choice in two of four specialised fields: Big Data, Deep Learning, Data Mining, Data Management
After completing your studies, you will be able to analyse data-driven questions, develop tailored solutions using current tools and methods, and integrate these into business decision-making processes. Practical projects support you in applying scientific methods to real data problems.
How is the course structure and progression of the distance learning programme designed?
The Master’s degree programme Data Science (M.Sc.) is designed as a fully digital distance learning course. You can start at any time, and the standard period of study can be flexibly adapted to your life situation (Sprint variant: 24 months, Standard: 36 months, Stretch: 48 months). You learn at your own pace and can extend your study period free of charge if necessary. The programme is divided into four semesters:
- Semester 1: Acquisition of fundamentals in mathematics, databases, digital management and programming techniques, introduction to the first master project
- Semester 2: Deepening ethical and legal aspects, team and change management, statistical methods, machine learning and distributed systems,
plus second master project - Semester 3: Choice of your first specialisation (Big Data, Deep Learning, Data Mining or Data Management)
- Semester 4: Choice of the second specialisation, implementation of an empirical master project, project workshop, writing the master’s thesis including oral defence
All learning materials are provided online (digital scripts, video lessons, interactive exercises). You can take examinations online or at exam locations. In addition to traditional written exams, the assessment portfolio also includes term papers, open-book exams, project work and presentations. You are supervised by academic and practice-oriented experts. You receive individual feedback regularly, and virtual study groups and forums facilitate exchanges with other students.
In which professions and occupations is the degree especially in demand?
As a graduate of the Master’s in Data Science, you are qualified for data-driven specialist and managerial positions in business, industry and research. Typical fields of activity include:
- Data Science Developer: Development, optimisation and operation of data-based systems and cloud infrastructures
- Senior Data Scientist: Leadership of data science projects, building and evaluation of machine learning models, consulting in data-analytical issues
- Data Science Consultant: Advising companies on building data-driven business models, implementation of modern analysis methods such as deep learning and data mining
- Database and AI expert, data analyst, business intelligence manager
The knowledge acquired during the course is in demand in almost all industries, e.g. in IT, the financial sector, industry, healthcare or consulting firms. The Master’s also provides access to doctoral studies and research activities. The increasing digitalisation ensures a strong demand for specialised professionals with these qualifications.
What costs are associated with the Data Science distance learning programme and what financing options are available?
The tuition fees depend on your chosen time model. Current price examples for the Master’s degree in Data Science (M.Sc., 120 ECTS):
- Sprint variant (24 months): 481 euros per month, a total of approx. 11,544 euros
- Standard variant (36 months): 367 euros per month, a total of approx. 13,212 euros
- Stretch variant (48 months): 295 euros per month, a total of approx. 14,160 euros
This includes all learning materials, use of the campus, supervision and online events. Additionally, there is a one-off examination fee of 960 euros for the degree (sometimes waived during discount promotions). AKAD University regularly offers discount promotions and four weeks of free trial study.
- Tuition fees are usually tax-deductible (as income-related expenses or special expenses)
- Many employers financially support distance learning
- Discounts and special promotions are possible upon enrolment
- Recognition of prior achievements (ECTS from other universities) can reduce study duration and costs
Breaks or free extensions are possible in every model; individual study planning remains flexible.
Lade…
Advisory Service
Have questions about Academic Programs Data Science? Ask your question here, even anonymously. An employee of the institution AKAD University or the editorial team will answer you.