Dr. Aya Rizk

Associate Professor

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Biography

Aya Rizk is an Associate Professor at Linköping University specializing in data-driven innovation and decision-making. Her research focuses on understanding the challenges and opportunities that data presents for businesses and societies. She develops new data-driven innovations and studies the impact of automated decisions on individuals and organizations. Her interests span digital innovation and artificial intelligence (AI), particularly in interdisciplinary areas that leverage these technologies to help organizations generate insights from machine-readable data. With a strong background in Information Systems, she is also interested in methods and techniques such as clustering, association rules, and topic modeling to enhance theoretical development and validation within her research. She actively teaches in the bachelor program in Information Systems Analysis and the master's program in Management, ensuring students gain practical knowledge of data utilization in decision-making processes.

Research Interests

Experience

Associate Professor

2022-01-01 — Present

Linköping University • Linköping, Sweden

Postdoctoral Researcher

2021-01-01 — 2022-01-01

Luleå University of Technology • Luleå, Sweden

PhD Student

2015-01-01 — 2020-01-01

Luleå University of Technology • Luleå, Sweden

Senior Business Analyst

2013-01-01 — 2015-01-01

Zoser AG •

Advanced Analytics Consultant

2010-01-01 — 2013-01-01

Teradata •

Teaching Assistant

2009-01-01 — 2010-01-01

German University in Cairo •

Courses

Information Systems Analysis Management

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.