These are the requirements for the Bachelor's in Big Data and Data Science

For the B.Sc. Big Data and Data Science at Wilhelm Bücher University, there are various access options:

Access Option No. 1: You have the general higher education entrance qualification (Abitur), the subject-related higher education entrance qualification or the restricted higher education entrance qualification.

Access Option No. 2: You have a university admission qualification recognized by the Hessian Ministry of Culture as equivalent (e.g. a master's degree or a qualification as a state-certified technician).

Access Option No. 3: Studying as a guest auditor: You start your guest studies at our university without the three mentioned accesses and take the university entrance examination after 2 performance semesters. To do this, you must meet all of the following requirements:

1. You have completed at least a two-year vocational training in a field related to the desired study program according to the Vocational Training Act, the Crafts Code, regulated by federal or state law.
2. You have subsequently worked for at least two years full-time in a field related to the desired study program.

If you aim to study in a field that is not related to the completed training or professional activity, the knowledge acquired through training and professional activity must be expanded or deepened by qualified further training with a minimum of 400 hours in a field related to the desired study program.

After successful university entrance examination, we will change your status from guest auditor to regular student.

Here are the study contents and the course of study

Your Bachelor's degree programme in Big Data and Data Science at the WBH is structured in a modular way. You will study thematically closed subject areas (modules) to which credit points are assigned according to the European Credit Transfer System (ECTS). The number of credit points assigned to each module depends on the scope of the module and the associated workload. All credit points you achieve will be credited to you and you will receive a certificate. Your achievements are thus comparable and recognised - also internationally.

The course of study is structured as follows:

• 1st semester: Introductory project, Fundamentals of Computer Science, Fundamentals of Object-Oriented Programming, Fundamentals of Information Economics and Management, Mathematical Foundations for Computer Scientists, Law and Business Administration
• 2nd semester: Fundamentals of Software Engineering, Fundamentals in Big Data and Data Science for Companies, Operations Research and Stochastic, Law and Business Administration
• 3rd semester: Distributed Systems, Knowledge Organization and Information Retrieval, Information Technology, Project Management and Academic Work
• 4th semester: Databases, Information Systems and Business Intelligence, Big Data and Data Science: Methods and Technologies, Elective Modules in Intercultural Communication
• 5th semester: Application of Artificial Intelligence, Data Visualization and Tools, Communication and Leadership, Project Work, Elective Module I
• 6th semester: Design of Digital Transformation, Data Science Case Studies, Elective Module II, Bachelor Thesis and Colloquium

You choose Elective Module I from these topics: Change Management, Controlling and Quality Management, IT Management and Law, Fundamentals of Innovation and Technology Management, Online Marketing, Service Management, Applications in Information Management, Computer Graphics, Introduction to App Development, Introduction to IT Security, Electronic and Mobile Services, Design and Communication of Embedded Systems, Design of Interactive Systems, Information Broking and Research, Methods and Techniques of Knowledge Management, Multimedia Applications, Social Media.

You choose Elective Module II from these topics: Business English, Spanish, Intercultural Competence.

This is how long the Bachelor's degree programme at Wilhelm Büchner University lasts

The distance learning programme Big Data and Data Science lasts a total of 6 performance semesters, which corresponds to a standard period of study of 3 years or 36 months. You can extend the supervision period free of charge by 18 months.

These services provided by Wilhelm Büchner University contribute to your graduation within the standard period of study:

• start of studies at any time
• individual learning pace
• no forced breaks due to semester breaks
• study plan and content tailored to distance learning
• motivated and highly qualified lecturers
• comprehensive, personal support and service concept

These personal factors also have a positive influence on the duration of studies:

• educational background
• your willingness and ability to learn
• the relevance of your professional training or activity to the content of the course
• professional and personal circumstances