Istinye University Master’s Program with Thesis in Data Science offers a comprehensive postgraduate education vision that treats data as a science, blending its technical and strategic dimensions. Conducted in Turkish, our program aims to train qualified experts required by the globally and rapidly expanding data-driven ecosystem.

It is an undeniable fact that data is the most critical asset in today's medical, technological, and business worlds. In particular, the success of artificial intelligence (AI) technologies directly depends on the quality of the data that feeds these systems. The fundamental deficiency of companies that fail in their AI investments despite strong infrastructures is that they overlook data management processes. Indeed, the fact that data science-oriented professions rank first globally in the World Economic Forum (WEF) Future of Jobs Report clearly demonstrates the strategic importance of this discipline.

Our program focuses on both technical and managerial processes in order to overcome the human resource bottleneck in the sector. Alongside the project-based, hardware, and legal dimensions of data; interdisciplinary fields such as artificial intelligence ethics, data literacy, and socio-cultural impacts are also at the core of our curriculum. This global-standard vision is fully aligned with the targets of our country's National Artificial Intelligence Strategy Document.

Educational Structure and Technical Competencies:
The Data Science Master's Program transforms theoretical knowledge into practice through case studies and applied projects. To train theorists and developers who can build data pipelines and master mathematics and coding processes, the program focuses on the following specialization areas:

  • Data Engineering and Model Management: Data preprocessing, feature engineering, and Automated Machine Learning (AutoML) processes.
  • Advanced Artificial Intelligence Applications: Machine learning, deep learning, natural language processing (NLP), and computer vision technologies.
  • Algorithmic Reliability: Bias mitigation and deepfake analysis.

Strategic and Managerial Dimension:
Our program builds experts who can read data-driven transformation in non-technical processes and analyze the social, legal, and economic reflections of these workflows:

  • Ethics and Law: Explainable Artificial Intelligence (XAI), protection of personal data, data privacy, and legal dimensions.
  • Corporate Transformation and Economics: Data-driven process management in enterprises, sustainability, metaverse, and decentralized data values.
  • Global and Social Impacts: Data-based issues in international relations, cyber reputation threats, and data analytics in the context of social engineering.

In accordance with the standards of Istinye University Postgraduate Education and Training Regulations; students who successfully complete their credit courses in the curriculum and their original thesis study are entitled to receive a Master of Science in Data Science (with Thesis) degree as professionals with global competitive power in their field.