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Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Islamic Economics and Finance
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
99701002 Digital Insurance and Cyber ​​Security 2026 Spring 6 3+0+0 4 4
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques Lecturing, question and answer, discussion, case analysis, and evaluation through current sector reports, digital insurance practices and cyber risk insurance examples.
Mode of Delivery Face to Face
Prerequisites None.
Coordinator -
Instructor(s) Dr. Res. Asst. Abdullah Buğra SOYLU
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Dr. Res. Asst. Abdullah Buğra SOYLU C-104 [email protected] 7803 Wednesday
10:00-12:00
Course Content
This course covers risk, uncertainty, the concept of insurance, types of insurance, insurance contracts, the insurance value chain, digital insurance, InsurTech, big data, artificial intelligence, data security, protection of personal data, cyber risks, cybersecurity, cybersecurity governance, the scope, coverage structure, insurability and claims practices of cyber risk insurance.
Objectives of the Course
The aim of this course is to enable students to understand basic insurance concepts, the functioning of the insurance sector, digital insurance practices, cyber risks, cybersecurity approaches and the basic structure of cyber risk insurance.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P4 Disiplin içi, çok disiplinli veya çok kültürlü gruplarda ve bireysel çalışabilme 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Conducts joint studies with experts from various disciplines such as economics, finance, and law. P.4.2 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Introduction to the Concepts of Risk, Uncertainty and Insurance
2 Emergence of Insurance, Functions of Insurance and Fundamental Principles of Insurance
3 Types of Insurance: Social Insurance, Private Insurance, Life, Non-Life and Participation Insurance
4 Insurance Contract: Parties, Premium, Coverage, Risk, Claims and Indemnity
5 Structure of the Insurance Sector and the Insurance Value Chain
6 Digitalisation and Digital Transformation in the Insurance Sector
7 Sales, Underwriting, Policy Issuance and Claims Processes in Digital Insurance
8 The InsurTech Ecosystem, Platform Economy and Digital Insurance Business Models
9 Big Data, Data Analytics and the Use of Artificial Intelligence in Insurance
10 Data Security, Privacy and Protection of Personal Data in Digital Insurance
11 The Concept of Cyber Risk, Cyber Threats and Introduction to Cybersecurity
12 Cybersecurity Governance, Risk Management and Legislation
13 Cyber Risk Insurance: Scope, Coverages, Exclusions and Insurability
14 Claims Practices, Case Analyses and Future Trends in Cyber Risk Insurance
Textbook or Material
Resources Kırkbeşoğlu, E. (Ed.). (2015). Risk Management and Insurance. Ankara: Gazi Publishing.
Personal Data Protection Authority. (Current). Personal Data Protection Law No. 6698, Guidelines, Board Decisions and Announcements.
European Union Agency for Cybersecurity. (Current). ENISA Threat Landscape Reports.
National Institute of Standards and Technology. (Current). Cybersecurity Framework.
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 3 14 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 3 14 42
Midterms 1 15 15
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 119
Total Work Load / 30 3,97
Course ECTS Credits: 4
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P4
O1 Conducts joint studies with experts from various disciplines such as economics, finance, and law. 5