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The Central State Office for Distance Learning (ZFU) has approved the course Data Science under the number 180618c. Who benefits from the Distance Learning Data Science (B.Sc.) programme?
You are in the right place with this degree programme if you are aiming for a career in the fields of data analysis, artificial intelligence, or digital business processes. The distance learning course is particularly suitable for working professionals who want to acquire practical and flexible skills in statistics, computer science and machine learning. A technical or mathematical interest as well as motivation for independent learning in an online format are advantageous. You can also successfully complete the programme as a lateral entrant from other fields with an affinity for IT and numbers.
What requirements do you have to meet?
Formal entry requirements:
- General higher education entrance qualification (Abitur) or
- Subject-specific higher education entrance qualification or
- Entrance qualification for universities of applied sciences or
- Equivalent foreign university entrance qualification
- Professional advancement training: State-recognised qualification as technician, master craftsman, business economist, specialist, educator or comparable qualification
- Vocational training with professional experience: University entrance examination in the respective field or alternatively trial study period
- Sufficient German language skills for foreign applicants (e.g. DSH-2, TestDaF level 4 or C1 GER)
Recommended personal requirements:
- Mathematical knowledge at the level of the university entrance qualification
- English skills at least at level B2 of the Common European Framework of Reference for Languages
- Basic PC and internet user skills
- Self-discipline, personal responsibility and organisational skills for independent online study
- Logical and analytical thinking ability as well as interest in data structures and problem-solving
- Enjoyment in dealing with digital tools and continuously expanding technical skills
What knowledge will you acquire in the Data Science distance learning programme?
In the Bachelor’s degree programme Data Science at AKAD University, you will learn how to derive usable information from large and complex data sets and create data-based decision-making foundations. The curriculum links mathematics, statistics and computer science with practical application fields.
- Fundamentals: You start with basic modules in mathematics and statistics. These include bridging courses, statistics and an introduction to Data Science.
- Analysis and Methods: Modules such as Statistical Methods in Data Science, Methods of Data Analysis and Knowledge Management follow. You will learn the application of classical and modern analysis techniques.
- Programming & Tools: Important programming languages (e.g. R), object-oriented software development and algorithms are on the curriculum, as well as working with databases and big data technologies.
- Machine Learning & Deep Learning: You will engage with machine learning, deep learning and business analytics and acquire knowledge in the development and application of intelligent algorithms.
- Digital Transformation: Cross-disciplinary competencies in management, digital business processes and information systems enable you to understand and implement the role of Data Science in companies.
- Specialisation options: The fifth semester offers individual focus areas such as data analysis, system management in Data Science, data visualisation or big data and data warehouse.
- Practice and final project: In a project workshop, a larger practical project and the final bachelor’s thesis, you link theory and real applications.
You develop analytical thinking, problem-solving skills and technical know-how in handling modern data tools. These competencies are complemented by soft skills and interdisciplinary key qualifications.
What does the process in the Data Science distance learning programme look like?
The Data Science distance learning programme is characterised by high flexibility and digital organisation. The entire learning process takes place online and can be individually adapted to your life situation.
- Duration and study models: You choose between Sprint (36 months), Standard (48 months) and Stretch (72 months), each with options for free extensions.
- Self-directed learning: You work through the individual modules at your own pace. Digital study materials, videos, podcasts, interactive tasks and online libraries are available at all times.
- Digital examinations: Exams can be taken flexibly online or at examination centres. Many modules are completed with term papers, practical projects or open-book exams.
- Practical projects: With project workshops, practical projects and the bachelor’s thesis, you gain early insights into real-world applications.
- Support: Subject-specific contacts and personal support accompany you throughout your studies. Communication takes place via the online campus, video consultations or forums.
- AI-supported learning system: The AKAD Campus uses digital learning aids and personalised recommendations to support you in the best possible way.
- Community and exchange: Virtual study groups, forums and online events enable contact with other students.
You can start your studies at any time; the entry into the programme can be designed flexibly. During your studies, you benefit from individual learning recommendations, monitoring of your progress and digital exam planning.
Which career paths open up after graduation?
The Bachelor’s degree in Data Science enables you to enter numerous professional fields related to data analysis, automation and digital transformation. Graduates are in high demand across industries. The most common positions include:
- Data Scientist: Analysis of complex data, development of algorithms, derivation of decision-making bases for companies.
- Data Engineer: Building and maintaining IT infrastructures for collecting, managing and analysing large amounts of data.
- Analytics Consultant: Consulting on big data, data visualisation and data strategy in companies from various industries.
- Business Analyst or Data Analyst: Supporting management with data-based management decisions and process optimisation.
- IT Project Manager: Leading digitisation or analysis projects in the corporate environment.
The bachelor’s degree also opens access routes to advanced master’s programmes, such as in Data Science, Artificial Intelligence or Business Informatics. The competencies acquired during the studies are particularly sought after in IT, finance, healthcare, industry, logistics, trade and the public sector.
What are the tuition fees and what financing options are available?
The costs for the Data Science (B.Sc.) distance learning programme at AKAD University vary depending on the chosen time model:
- Sprint (36 months): 389 Euro per month, total 13,984 Euro (including examination fee)
- Standard (48 months): 319 Euro per month, total 15,292 Euro (including examination fee)
- Stretch (72 months): 229 Euro per month, total 17,468 Euro (including examination fee)
Discount promotions, such as a one-time reduction of up to 2,111 Euro including waiver of the examination fee, are regularly possible. The one-time examination fee (approx. 960 Euro) is usually included in the total price.
- All fees include study materials, access to the digital campus, support and all online examinations.
- Additional costs only arise if the free extension is exceeded.
- Partner companies or employers often financially support the studies.
- Tuition fees are generally tax-deductible (e.g. as work-related expenses or special expenses).
The programme can be tested free of charge for four weeks. Instalment payments or flexible payment plans are possible. Recognition of previously completed achievements can further reduce the total costs.
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