General Outline

Here you can find information regarding the general course of study in the MSc Data Science as well as an overview of possible lectures and specializations. For any further questions please refer to the contact details on the introduction page.

Program Overview

Outline

Winter Semester 2019/2020

EoCS : Elements of Computer Science
EoM: Elements of Mathematics
EoS: Elements of Statistics

 MondayTuesdayWednesdayThursdayFriday
8.00 - 10.00 EoCS -  Programming (optional german lecture)EoM
(Exercise)
EoCS - Programming (optional german lecture) 
10.00 - 12.00 EoM (*)EoM (*)EoCS - Databases (optional german lecture)Introduction to Data Science
12.00 - 14.00    
14.00 - 16.00

EoCS
(Exercise) (*) (**)

  EoS (*) (***)EoS (*) (***)
16.00 - 18.00    

(*): Choose two of three possible "Elements of" - lectures

(**): EoCS is a flipped classroom lecture, i.e. there will only be one exercise split into 3 parts: 

  • 14.00 - 15.00: EoCS (General)
  • 15.00 - 16.00: Databases
  • 16.00 - 18.00: Programming

(***): EoS includes the lecture "Statistical programming in R" which is held on thursday and friday in the first half of the semester (25.10 - 22.11).

Summer Semester 2019

 MondayTuesdayWednesdayThursday
8.00 - 10.00 Statistical Methods 
of Data Science
 Numerical Optimization
(Exercise)
10.00 - 12.00  Big Data AnalyticsNumerical Optimization
12.00 - 14.00Numerical Optimization   
14.00 - 16.00Big Data Analytics
(Exercise)
  Statistical Methods
of Data Science

Note: The lecture "Data and Web Mining " was postponed to the Wintersemester 2019/2020

Even though the MSc Data Science has a strong emphasis on its interdisciplinary structure, students have the possibility to specialize in a certain field and add a respective label to their degree. A summary of labels and the required lectures can be found in the drop down below as well as a time table of specialization lectures held in the wintersemester 2019/2020.

Specializations

Overview

Lectures

 MondayTuesdayWednesdayThursday
8.00 - 10.00Digital Libraries (Exercise)   
10.00 - 12.00 Numerical Solution of Differential Equations  
12.00 - 14.00Digital LibrariesMicrosimulation MethodsMulti-Agent-Systems (Exercise)Microsimulation Methods 
14.00 - 16.00Multi-Agent-Systems  Numerical Solution of Differential Equations

 

Remark

All informations and more details can be found in porta after successfully applying for the program.