B.Sc. Data Science
Introduction
B.Sc. Data Science is a 36 months Bachelor program taught at IU International University of Applied Sciences, Bad Honnef, Germany. The program is offered in online modes with full-time and part-time options. To successfully obtain B.Sc.
Data Science from IU International University of Applied Sciences you are required to complete 180 ECTS credit hours. After completion of B.Sc. Data Science you will be able to further continue for advance studies or start career as Data Scientist, Data Science Consultant, Business Analytic Consultant.
Data is one of the greatest strengths in the digital age. With the IU Online Bachelor Data Science you learn exactly how to deal properly with this strength.
In this study programme you will acquire mathematical and statistical knowledge, expertise in different data processing technologies and an overview of different machine learning techniques.
A wide range of electives allows you to expand your knowledge in application areas and to be an expert in this field at the end of your studies. With IU, you can study from the comfort of your home, 100% online.
Admission Requirements
The minimum requirements for admission in B.Sc. Data Science at IU International University of Applied Sciences for all applicants (Domestic or International) are:
- program specific academic requirment set by IU International University of Applied Sciences.
- English Language OR any other language requirments as set by IU International University of Applied Sciences as pre-requiste for admission in B.Sc. Data Science.
Note: Please check the university website in the link below.
Academic Requirements:
- Higher Secondary School Leaving Certificate such as A-Levels, IB Diploma including your Transcript of Records.
- Proof of eligibility to study a bachelor's degree at university in Germany.
Depending on your chosen programme, academic level, and background, you might need to also take one of the following to make sure you are ready to study with us:
- Bachelor Entrance Examination
- Pathway Programme
English Level:
- Proof of English skills.
- If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
- Speexx B2.2 Certificate (complimentary when signing up with IU - free of charge)
Courses Units
You need to complete 180 ECTS credit hours to successfully obtain this degree. Please check detail of study units at https://iu.prf.hn/click/camref:1100ldcgr/adref:educads/creativeref:1011l46197/
Semester 1 – Modules- Introduction to Data Science
- Introduction to Academic Work
- Introduction to Programming with Python
- Mathematics: Analysis
- Collaborative Work
- Statistics - Probability and Descriptive Statistics
Semester 2 - Modules
- 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 - Modules
- 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 - Modules
- 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 - Modules
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Semester 6 - Modules
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More Information
IU has partnered with London South Bank University to give you the chance to turn your programme into a dual degree. When you choose this option, you'll graduate from IU with both a German degree and a British degree: a major advantage for international career prospects! No extra study courses or travelling required.
To avoid disappointment, students need to sign up for this offer within 4 weeks of enrolment, so don’t miss out!
Career Opportunities
You can join one of the following careers:
Scholarships
72 fully funded scholarships are listed for Germany. See Germany scholarships.