MSc Epidemiology
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Acceptance Process and recommended literature for preparation

The acceptance process is composed of both a written and an oral component. The Acceptance Process takes place in the middle of June each year.

Written exam

The written part is an exam lasting 90 minutes, in which the knowledge and abilities of the applicant in the following topics is tested:

  • basic knowledge in mathematics
  • basic knowledge in statistical thought
  • interpretation of scientific literature and statistical detail in the media
  • fundamental knowledge in science
  • basic knowledge in epidemiology and public health

Oral test

The oral test is conducted in the form of a 30 minute admission interview. The following topics will be discussed to assess the abilities of the applicant:

  • knowledge of health care system in their country of origin
  • motivation for the MSc degree program
  • realistic perception of professional prospects
  • knowledge and understanding of the scientific foundation of their degree, the first degree obtained as background for the MSc program
  • problem solving and decision making abilities
  • ability to critically evaluate scientific results
  • communicative competence, for example the ability to translate technical information and ideas into layman’s terms, to formulate and defend a position and solution to a problem

Essential preparation for entrance exam and study program

1. Basics of Calculus:

  • Numbers and basic mathematical Operations
  • Algebraic Expressions, Equations
  • Ratio & Proportion

2. Functions and their Graphs:

  • Linear Functions, Quadratic Functions, Polynomials
  • Logarithms and Exponential Function and Rules
  • The Shape of Curves; Slope and Curvature
  • Derivatives and Integrals of Functions
  • Optimising Functions
  • Area under a Curve

3. Basics of Chance, Probability Theory and Statistics

  • Types and Scales of Variables
  • Notation
  • Computing Probabilities and Rules of Probability
  • Theory of sets, “And” vs. “Or” and other operators and symbols
  • Venn Diagrams
  • Contingency Tables
  • Factorials, Permutations and Combinations
  • BAYES THEOREM:

4. Basics of Matrix Algebra

  • Types of Matrices, Transpose Matrix
  • Matrix Operations and Matrix Properties, Inverse of a Matrix

5. Trigonometry (OPTIONAL)

 

Here are some links for preparatory literature:

The following links are related to mathematical and statistical topics:

Basics of Calculus:

  • Numbers and basic mathematical Operations

Functions and their Graphs:

  • Linear Functions, Quadratic Functions, Polynomials, …
  • Derivatives and Integrals of Functions

Basics of Chance, Probability Theory and Statistics

Venn Diagrams

Contingency Tables

Factorials, Permutations and Combinations

Further Reading:

  • Statistics Essentials For Dummies, Deborah Rumsey
  • Statistics For Dummies, 2nd Edition I & II, Deborah Rumsey
  • BAYES THEOREM:

Basics of Matrix Algebra

Trigonometry (OPTIONAL)