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.
Therefore, 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.
Contact
Prof. Dr.-Ing. Stefan Jablonski
E-Mail: stefan.jablonski [@] uni-bayreuth.de
Office: 0.20 (EG)
Building: Angewandte Informatik
Courses
Identifier | ECTS | |
Section A – Lectures | ||
INF 201 | Parallel and distributed systems II | 5 |
INF 202 | Computer graphics I | 5 |
INF 218 | Programming, Data Analysis and Deep Learning in Python | 5 |
INF 220 | Information Visualization | 5 |
INF 222 | Event Processing | 5 |
INF 226 | Biomedical Time Series Analysis | 5 |
INF 305 | High Performance Computing | 8 |
INF 307 | Data Analytics | 8 |
INF 314 | Algorithms and data structures III | 5 |
INF 316 | Pattern recognition | 5 |
INF 318 | Computer graphics III | 5 |
INF 321 | Foundations of Semi-Structured Data | 5 |
INF 326 | Foundations of Data Management | 5 |
INF 328 | Advanced Information Systems | 5 |
Section P – Projects, Seminars, Thesis (*) | ||
INF 101 | Bachelor thesis | 15 |
INF 301 | Master thesis | 30 |
INF 302 | Master seminar | 5 |
INF 303 | Master practical course | 8 |
INF 351 | Small Master project | 8 |
INF 352 | Large Master project | 15 |
(*) These courses are only creditable if concrete topics are in line with the certificate qualification goals. This must be confirmed by the course instructor in coordination with the certificate coordinator