Master Data Science
Master
Online
Description
-
Type
Master
-
Methodology
Online
-
Start date
Different dates available
Want to further your studies in Data Science?
With this online program endorsed by IUBH Online and offered on Emagister you can do it!
Nowadays, Data is becoming the most important asset of data-driven enterprises and plays a pivotal role in tackling the challenges of tomorrow.
From the optimisation of existing production lines to the creation of new business models, data-driven decisions are at the centre of digital businesses.
In this program, you will acquire knowledge and skills in Python, Machine Learning, Big Data, Engineering Software and more.
If you would like to learn more about it, contact IUBH Online through Emagister and enrol!
Facilities
Location
Start date
Start date
About this course
Innovation springs from bright minds - our international Master programme puts you into the driver seat of your future career in Data Science. Graduates from our courses go to become technical gurus, team-leaders of successful data-science teams or value-driven masterminds who turn data into action.
Prerequisites for admission to the Data Science Master programme:
Completed undergraduate study from a public or officially recognised university/higher education institution;
Degree certification of at least “Befriedigend” [lower second equivalent];
Proof of min. one year of relevant work experience;
Proof of English skills.
TOEFL (min. 80 points) or
IELTS (min. Level 6) or
Duolingo English test (min. 51%) or
Cambridge Certificate (min. B grade overall) or
Equivalent proof
The proof must be provided before the start of the study and must not be older than two years. If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
The Master in Data Science opens the door for your career in data-driven businesses.
Reviews
Subjects
- Science
- IT Engineering
- Engineering Software
- Engineering
- Project Management
- Project
- Project Control
- Software Engineering
- Data Management
- Data Protection
- Data analysis
- Statistics
- Data Collection
- IT Security
- Management Information Systems
- Mathematics
- Model Engineering
- Society
- Machine Learning
- Data science
- Big Data Management
- Big Data Technologies
- Advanced Mathematics
- Advanced Statistics
Course programme
- Data Science Advanced
- Mathematics Seminar: Data Science and Society
- Advanced Statistics
- Use Case and Evaluation Project: Data Science Use Case
2nd-semester
- Programming with Python Machine Learning
- Deep Learning
- Big Data Technologies
- Electives A (Selection of one module)
3rd semester
- Security and Data Protection Model
- Engineering Software
- Engineering for Data-Intensive Sciences
- Electives B (Selection of one course)
- Seminar: Current Topics in Data Science
4th-semester
- Master Thesis & Colloquium
Additional information
Master Data Science