Data Science, Bachelor of Science

These are the prerequisites for the Bachelor Data Science

With your Bachelor in Data Science you will work, for example, as a Data Engineer, as a Data Scientist or as a Digital Analytics Consultant.

You can be admitted to the part-time distance learning programme Data Science at IU International University if you have either a Abitur (the general university entrance qualification), a Fachabitur or the Fachgebundene Hochschulreife.

In addition, you can also study Data Science without an Abitur. In order to be admitted to the IU distance learning programme without an Abitur, you must present a completed advanced training course, for example as a state-certified business economist, or a master craftsman's certificate. You can also be admitted if you have completed vocational training and worked full-time for at least 3 years following this training.

This is what you will study in the Data Science online degree programme

This Bachelor's degree at IU comprises about 31 modules, which you take and complete in the course of 6 semesters of standard study time. Each module has a scope of 5-10 credit points (ECTS) and concludes with an examination such as a term paper or an exam. In total, you will earn 180 credit points from module to module and from semester to semester.

The typical study plan for full-time studies in Data Science is as follows:

• Semester 1: Introduction to Data Science, Introduction to Academic Work, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Statistics - Probability and Descriptive Statistics
• Semester 2: Object Oriented and Functional Programming with Python, Mathematics: Linear Algebra, Intercultural and Ethical Decision-Making, Statistics - Inferential Statistics, Database Modeling and Database Systems, Project: Build a Data Mart in SQL
• Semester 3: Business Intelligence, Project: Business Intelligence, Machine Learning - Supervised Learning, Machine Learning - Unsupervised Learning and Feature Engineering, Data Science Software Engineering, Project: From Model to Production
• Semester 4: Agile Project Management, Big Data Technologies, Data Quality and Data Wrangling, Explorative Data Analysis and Visualization, Cloud Computing, Seminar: Ethical Considerations in Data Science
• Semester 5: Time Series Analysis, Neural Nets and Deep Learning, Elective A, Elective B
• Semester 6: Elective C, Introduction to Data Protection and IT Security, Model Engineering, Bachelor Thesis

The special feature of the Bachelor's degree programme in Data Science at IU is the many opportunities to delve into topics according to one's own interests and professional fields in the elective area.

As the first specialisation, you can choose from these exciting modules: Data Engineer, Data Analyst, AI Specialist.

As your second specialisation, you choose one of these study modules: International Marketing and Branding, Applied Sales, Supply Chain Management, Smart Factory, Automation and Robotics, Autonomous Driving.

As a third specialisation you take one of these modules: Data Engineer, Data Analyst, AI Specialist, International Marketing and Branding, Applied Sales, Supply Chain Management, Smart Factory, Automation and Robotics, Autonomous Driving, Foreign Language, Studium Generale.

This is how flexible the standard period of study is in the Data Science distance learning programme

At IU International University, you can choose one of 3 study models for part-time distance learning:

• In the full-time study, the standard period of study is 6 semesters or 36 months. You can extend the standard period of study by up to 2 semesters or 12 months at no additional cost. The full-time study programme in Data Science is particularly suitable for those who do not work or only work a few hours a week.
• In the Part-time study I, the standard period of study is 8 semesters or 48 months. You can extend the standard period of study by up to 2 semesters or 12 months at no additional cost. Part-time study I is suitable, for example, if you work part-time alongside your studies.
• In Part-time study II the standard period of study is 12 semesters or 72 months. You can extend the standard period of study by up to 2 semesters or 12 months at no additional cost. Part-time study II is particularly suitable if you are heavily involved in your career in addition to your distance learning.

By the way, you can also take a vacation semester during the course of your studies, at no additional cost.

How does online study at IU work?

Study that adapts to your life: In online studies at IU, you learn flexibly and digitally when you want to learn and where you want to learn.

There is no compulsory attendance in the Data Science distance learning programme at IU International University - you study continuously from home, in the library of your choice or wherever you can learn best.

You take your modules and courses when you want. As a rule, you can flexibly arrange your study plan and semester schedule yourself.

Central to the IU distance learning programme are your interactive learning scripts. You receive the scripts in printed form as well as digitally as a PDF and for your tablet. The smart app IU Learn gives you access to the scripts for your study in Data Science as well as scripts from all other distance learning programmes at IU.

You can also access additional materials, such as videos, via myCampus, IU's online campus. You can exchange information with your lecturers and fellow students in virtual live formats, for example, about the interactive courses.

And exams? If you wish, you can write them as online exams. You can take an online exam around the clock as soon as you feel sufficiently prepared for the course material. Alternatively, you can take the exam at one of the IU's numerous exam centres throughout Germany.