Process Mining

Certificate Course - Information Systems Engineering - ISE.3.2.I26

Date Jun 2 -4, 2027
Duration 2,5 days
Location On campus - Karlsruhe
Language English
ECTS upon request
Cost 1,800€

Course PrerequistesNo prerequisites required. Knowledge of general modeling concepts from computer science is helpful to follow the module.

Discover what this course is all about 

Fundamentals 

Teh course teaches core concepts of process mining and its role in analyzing business processes. 

Technology 

It covers process mining methods, algorithms, and software tools for  data-driven analysis.

Applications

Students learn to apply process mining techniques to solve business process problems.

What you'll explore 

  • Petri Nets / Workflow Nets
  • Methods for Process Analysis
  • Process Mining Algorithms
  • Software Tools for Process Mining

Your key takeaways

Participants will

  • understand the basic concepts of process mining and know about the respective application fields
  • know about syntax and semantics of workflow nets
  • know about different process mining algorithms and their respective strengths and weaknesses
  • be able to apply process mining methods and software tools in a given business environment

Taught by recognized experts in Process Mining 

Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.

Prof. Dr. Andreas Oberweis

Prof. Dr. Andreas Oberweis is Director of Software Engineering, Innovation, Strategy and Transfer at Karlsruhe Institute of Technology (KIT). As an industrial engineer, he focuses on bridging business process engineering and software engineering, with an emphasis on end-to-end modeling and quality assurance of complex systems. His research addresses e-collaboration, social software, and the role of mobility in business process management. He also serves as Vice Dean of the Faculty of Economics and Deputy Speaker of the Competence Field Organization and Service Engineering, contributing to the strategic development of interdisciplinary research and innovation at KIT.

Who should attend

This course is particularly beneficial for professionals in the following fields:

  • Business analysts and process managers
    Professionals responsible for analyzing, optimizing, and monitoring business processes who want to leverage data-driven insights through process mining.

  • IT consultants and data scientists
    Consultants and analysts working with process data, workflow automation, or enterprise systems who aim to extract actionable insights from event logs.

  • Data engineers and architects
    Engineers designing data pipelines, workflow systems, or business intelligence solutions that require process mining integration.

  • Quality managers and compliance officers
    Specialists ensuring process efficiency, adherence to standards, and regulatory compliance by using process mining for auditing and improvement.

  • Project managers in digital transformation
    Managers leading initiatives in workflow optimization, automation, or data-driven decision-making within organizations.

  • Researchers and academics
    Researchers, PhD candidates, and students in business informatics, information systems, or data science focusing on process mining, workflow analysis, or organizational intelligence.

  • Software developers and engineers
    Developers working on process automation tools, workflow engines, or enterprise applications who want to incorporate process mining techniques.

Advance your career with KIT-level expertise 

Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.

Flexibility 

Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.

Relevance

Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.

Advancement

Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.

 

About HECTOR School 

HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.

For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.