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According to a new and extensive report by the McKinsey Global Institute ("Game changers: Five opportunities for US growth and renewal"), "by 2018 the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge. With an estimated 40,000 exabytes of data being collected by year 2020 — up from 2700 exabytes in year 2012 — the implications of this shortage become apparent." The wide range of economic sectors that will leverage big data analytics in the next decade (including retail, finance, manufacturing, healthcare, and government services) is driving this explosion in data collection and the demand for skilled practitioners even further. Since the trend towards data is being widely covered by the media, we expect a high demand for a curriculum aimed towards data science in the near future.

The Institute for Computer Science at the University of Bayreuth is offering a program in Data Science. It offers courses in various fields of Data Science like algorithms, computer systems, exploring and analyzing data, probability and statistics, statistical inference and modeling, management of big and complex data, machine learning, visualizing and communicating data (see table below). Most of the courses will be taught in English.

Obligatory prerequisite:
In order to apply for the Data Science Certificate, students have to be enrolled in one of the following Master Programs: Computer Science, Angewandte Informatik, Informatik. Thus, this certificate is only pursuable for students enrolled in one of those master programs.

Students can obtain a "Certificate in Data Science" when they obtain 60 credits in lectures, practical courses, seminars, and/or the Master thesis in courses eligible for the Master program in Applied Computer Science (M.Sc.), Informatik (M.Sc.) or Computer Science (M.Sc.) that are associated with the fields identified above. A list of eligible courses can be found below.

Students interested in obtaining this Certificate in Data Science are asked to contact Prof. Stefan Jablonski for further information. Students have to be enrolled in a regular Master Program (Computer Science (M.Sc.), Angewandte Informatik (M.Sc.), Informatik (M.Sc.)). Then they can (informally) subscribe to the Data Science program (send an informal email to Prof. Stefan Jablonski). Since the courses eligible for the Data Science program are also courses of the three Master Programs Computer Science (M.Sc.), Angewandte Informatik (M.Sc.), Informatik (M.Sc.) or Computer Science (M.Sc.), the Data Science certificate will be completed "alongside" the Master Programs by studying eligible courses (see table below).


Prof. Dr.-Ing. Stefan Jablonski
E-Mail: stefan.jablonski [@] uni-bayreuth.de
Büro: 0.20 (EG)
Gebäude: Angewandte Informatik

Data Science Courses (as of February 2022)


 Section A: Lectures
 Bereich A: Vorlesungen

 INF 201     

 Parallel and distributed systems II
 Parallele und Verteilte Systeme II
 INF 202

 Computer graphics I
 Computergraphik I
 INF 210

 Artificial intelligence II
 Künstliche Intelligenz II
 INF 305

 High Performance Computing
 High Performance Computing
 INF 307

 Data Analytics

 Databases and information systems III
 Datenbanken und Informationssysteme III
 INF 314

 Algorithms and data structures III
 Algorithmen und Datenstrukturen III
 INF 316

 Pattern recognition
 INF 318

 Computer graphics III
 Computergraphik III
 INF 321

 Foundations of Semi-Structured Data
 Foundations of Semi-Structured Data

 Theoretische Informatik III
 INF 326

 Foundations of Data Management
 Foundations of Data Management

 Foundations of Data Science
 Foundations of Data Science
 INF 218

 Programming, Data Analysis and Deep Learning in Python

 Programming in Java
 Programmieren in Java

 Section B: Projects and Seminars
 Bereich B: Projekte und Seminare

 INF 351

 Small Master project *)
 Kleines Master-Projekt *)
 INF 352

 Big Master project *)
 Großes Master-Projekt *)
 INF 353

 Big Master seminar *)
 Großes Master-Seminar *)

 Section C: Master Thesis
 Bereich C: Masterarbeit

 INF 301

 Master thesis *)
 Masterarbeit *)
 INF 302

 Master seminar
 INF 303

 Master practical course

*) These courses are only creditable if it is confirmed to be eligible by the instructor.

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