 # 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

### 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, …
• Logarithms and Exponential Function and Rules
• Derivatives and Integrals of Functions

#### Basics of Chance, Probability Theory and Statistics

Venn Diagrams

Contingency Tables

Factorials, Permutations and Combinations