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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
  3. Course Structure Diagram with Credits
  4. Data Strategy and Leadership
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 22/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA207 - Data Strategy and Leadership III. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Strategic Alignment: Meeting institutional evaluation requirements
Week - 2 Assessing organizational data maturity and capability
Week - 3 Aligning data initiatives with core business objectives
Week - 4 Data Governance: Establishing robust data policies
Week - 5 Ensuring high data quality
Week - 6 Maintaining compliance with privacy regulations (GDPR)
Week - 7 Managing enterprise data architecture
Week - 8 Leading Data Teams: Implementing agile methodologies
Week - 9 Fostering a data-driven organizational culture
Week - 10 Defining and tracking team performance metrics
Week - 11 Executive Communication: Presenting technical findings
Week - 12 Securing project funding
Week - 13 Translating analytics into actionable strategic roadmaps
Week - 14 Case studies in data leadership

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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