Overview
The analysis of large volumes of data, e.g., using methods of artificial intelligence and machine learning to extract usable information, is the central focus of the Bachelor's degree program in Data Science. The program imparts the necessary knowledge in programming (Python, R), mathematics (algebra, statistics), and modeling, as well as artificial intelligence and machine learning methods, database systems, and ethical and legal foundations of handling data.
Profile
This degree program is suitable for individuals who are interested in the methods and achievements of Data Science. These play a decisive role not only in well-known IT corporations such as Google, Facebook, Amazon, etc., but also in all other sectors of business, industry, public administration, and science. An affinity for computer applications as well as analytical, mathematical, and programming skills are beneficial. In Giessen, students benefit from particularly good academic support and establish personal contact with their lecturers early on. They can choose from a broad range of courses and engage in particular with numerous practical applications. As part of a university-wide lecture series, the diverse fields of application for Data Science across the entire university are presented. Accordingly, the topic of the Bachelor's thesis can be selected largely freely from among the JLU institutes involved in Data Science.
Career Prospects
Since the methods and results of Data Science are becoming increasingly important in all areas of business, industry, and public administration, career prospects are excellent. The keyword "digitalization" alone highlights the outstanding career outlook for students in Data Science. Beyond obvious career paths in major IT companies, Data Science expertise is also required in many other fields, such as insurance, banking, consulting, industry, and public administration.
Structure
In the first two semesters, the mathematical and programming foundations are established: Linear Algebra, Foundations of Computer Science I and II, Fundamentals of Programming with Python, Foundations of Statistics, Discrete Structures, and Mathematical and Scientific Modeling. In the third semester, in addition to compulsory courses such as the Data Science Lecture Series, Fundamentals of Stochastics, and Artificial Intelligence I, students can choose an elective course. Semesters 4 and 5 feature Foundations of Data Analysis with R, Advanced Data Analytics, Artificial Intelligence II, Statistics and Simulation with R, and two elective courses. In the final sixth semester, a further elective module, the study project, and the Bachelor's thesis are scheduled.
Preparation
We recommend that all incoming students in the Bachelor Data Science program participate in the preparatory course
General Mathematics. There, high school material is reviewed and consolidated.
Academic Counseling
The academic advisor for the degree program is:
Prof. Dr. Christian Heiliger
Institute for Theoretical Physics
Christian.Heiliger@physik.uni-giessen.de
Please arrange an appointment via email.
