Data Science Certificate

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.

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 Computer Science 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 the Computer Science Master Program. 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 Computer Science Master Program, the Data Science certificate will be completed "alongside" the Computer Science Master Program by studying eligible courses (see table below).

Data Science Courses (as of July 2017)

Section A: Computer Science
Bereich A: Informatik
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 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 Theoretical computer science III
Theoretische Informatik III
INF 326 Foundations of Data Science
Foundations of Data Science

Section B: Projects
Bereich B: Projekte
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 D: Master Thesis
Bereich D: Masterarbeit
INF 301 Master thesis *)
Masterarbeit *)

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

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