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School of Advanced Professional Studies

The School of Advanced Professional Studies (SAPS) offers a range of programs and courses for professionals and individuals seeking to advance their knowledge and skills.

Programs

• Aktuarwissenschaften: A program in actuarial science, focusing on the application of mathematical and statistical techniques to assess risk in finance, insurance, and other industries.
• Artificial Intelligence for Connected Industries: A program exploring the applications of artificial intelligence in various industries, including manufacturing, healthcare, and finance.
• Biopharmazeutisch-Medizintechnische Wissenschaften: A program combining biopharmaceutical and medical technology sciences, focusing on the development of new drugs, medical devices, and technologies.
• Business Analytics: A program designed to equip students with the skills to analyze complex business data and make informed decisions.
• Instruktionsdesign: A program in instructional design, focusing on the creation of effective learning experiences and materials.
• Sensorsystemtechnik: A program in sensor system technology, exploring the development and application of sensor systems in various industries.

Continuing Education Formats

• Weiterbildungsformate: SAPS offers various continuing education formats, including:
  • Abschlüsse: Degree programs for continuing education.
  • Microcredentials: Short, specialized courses focusing on specific skills or knowledge areas.
    • Microcredentialreihe Lehren: A series of microcredentials in teaching and education.
    • Microcredentialreihe Lernen: A series of microcredentials in learning and development.
    • Microcredentialreihe Digital: A series of microcredentials in digital technologies.
    • Microcredentialreihe Lebensversicherung: A series of microcredentials in life insurance.
  • Zertifikatskurse: Certificate courses in various subjects.
  • Certificate of Advanced Studies (CAS): A postgraduate certificate program.
    • CAS Aktuarwissenschaften: A CAS program in actuarial science.
    • CAS Biopharmazeutisch-Medizintechnische Wissenschaften: A CAS program in biopharmaceutical and medical technology sciences.
    • CAS Business Analytics: A CAS program in business analytics.
  • Diploma of Advanced Studies (DAS): A postgraduate diploma program.
    • DAS Aktuarwissenschaften: A DAS program in actuarial science.
    • DAS Business Analytics: A DAS program in business analytics.
    • DAS Instruktionsdesign: A DAS program in instructional design.
    • DAS Sensorsystemtechnik: A DAS program in sensor system technology.
    • DAS Wirkstoffforschung und Biomedizin: A DAS program in drug research and biomedicine.

Projects

• EduNEXUS BW: A project focused on education and networking in Baden-Württemberg.
• Artificial Intelligence for Connected Industries: A project exploring AI applications in industries.
• 2LIKE: A project involving workshops on adaptive learning in higher education.

About Us

• Unser Team und Kontakt: Information about the team and contact details (removed as per instructions).
• Struktur und Gremien: Information about the structure and committees of SAPS.
• Kooperationen und Mitgliedschaften: Details about cooperations and memberships.
• Stellenangebote: Job offers at SAPS.
• Informationsmaterialien zu Weiterbildungsangeboten: Information materials about continuing education offers.

Big (Social) Data Analytics - Methoden und Anwendungen

Module Group: Mathematics

This module focuses on the methods and applications of big (social) data analytics, particularly in the context of social media analytics.

Contents of the Module

• Introduction to big (social) data analytics as a highly relevant topic.
• Methods and applications of big data analytics using social media analytics as an example.
• Social media analytics: methods and applications, including social network analysis and text mining.
• Summary and critical evaluation.

Learning Objectives

The module aims to equip students with the skills to analyze large datasets, particularly from social media, using automated methods from social network analysis and big data analytics. This includes understanding how to apply these methods for improved decision-making in areas like product development, marketing, and customer relationship management.

Learning Setting

The online study takes place in self-study, with video lectures and accompanying written material. Regular online seminars with mentors support the learning process.

Prerequisites

A first university degree is required. Content-wise, basics in stochastic and applied statistics are necessary.

Technical Requirements

Recommended technical requirements include a desktop or notebook computer with a current operating system, headset, and internet access with a minimum speed of 3 Mbit/s downstream and 384 kbit/s upstream.

Performance Records

To be admitted to the module examination, students must participate in at least 3 presence exercises and complete and submit designated homework assignments.

Certification

Upon successful completion of the module, students receive a certificate and a supplement detailing the module's content, equivalent to 6 ECTS points.

Fees

Information about study fees for modules can be found on the page "Studiengebühren und Teilnahmeentgelte."

Instructor

Prof. Dr. Mathias Klier, Professor at the Institute for Business Analytics.

Mentors

• Dr. Maximilian Förster, Postdoctoral researcher at the Institute for Business Analytics.
• Dr. Andreas Obermeier, Postdoctoral researcher at the Institute for Business Analytics.