Students
Tuition Fee
EUR 245
Per course
Start Date
Medium of studying
Fully Online
Duration
1 months
Details
Program Details
Degree
Courses
Major
Applied Statistics | Mathematical (Theoretical) Statistics | Statistics
Area of study
Mathematics and Statistics
Education type
Fully Online
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 245
Intakes
Program start dateApplication deadline
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About Program

Program Overview


Pre-Course for Statistics

Overview

The Pre-Course for Statistics is designed for students who wish to pursue a Master's degree in Data Science at the University of Europe for Applied Sciences (UE). This course provides students with the necessary basic knowledge of statistics, which is an admission requirement for the Data Science program.


Syllabus

The Pre-Course for Statistics covers the following topics:


  • Graphical and tabular descriptive techniques
  • Numerical descriptive techniques: measure of location and variability
  • Correlation and Contingency
  • Lineare Regression
  • Probability
  • Introduction to estimation

Key Facts

  • Duration: 22.5 hours
  • Period: Approximately 1 month
  • Credits: 3 ECTS
  • Start dates: Every winter and summer semester (March and September)
  • Location: Online (Live & On-Demand)
  • Tuition fees: € 245 (EU and Non-EU Applicants)

Admission Requirements

To apply for the Pre-Course for Statistics, students must meet the following requirements:


  • Meet the admission requirements for the UE
  • Provide proof of basic knowledge of statistics

Fees and Financing

For more information on tuition fees and financing options, please refer to the UE's fees and financing page.


Learn from Our Experts

Our professors are experienced in their fields and are dedicated to providing students with a high-quality education. For more information on our professors, please refer to the UE's faculty page.


Contact Us

For more information on the Pre-Course for Statistics, please contact us at the University of Europe for Applied Sciences.


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