Today, as artificial intelligence technologies have become a transformative force in almost every area of life, especially in health, finance, education, defense, and industry, the need for expert human resources in this field is increasing day by day. The Artificial Intelligence Engineering (English) Master's Program with Thesis, opened within the Üsküdar University Institute of Science, aims to train students not only as individuals who use technology, but also as experts who develop new algorithms, produce research, and design solutions for future problems.
Prof. Türker Tekin Ergüzel emphasized that artificial intelligence is no longer just a software development area but has become a strategic technology transforming many sectors such as health, finance, education, defense, and industry, and said, “Master's education ensures that students are trained not only as technology users, but also as experts who develop new algorithms, produce research, and design solutions to complex problems.”
Artificial Intelligence Engineering (English) Master's Program with Thesis has been launched…
Üsküdar University Vice Rector Prof. Türker Tekin Ergüzel provided information about the newly launched Artificial Intelligence Engineering (English) Master's Program with Thesis.
Artificial intelligence is no longer just a software development area
Prof. Türker Tekin Ergüzel noted that artificial intelligence is no longer just a software development area but has become a strategic technology transforming many sectors such as health, finance, education, defense, and industry. He said, “Especially the rapid developments in the fields of generative artificial intelligence, large language models, machine learning, and data science necessitate specialization beyond basic knowledge. For this reason, master's education ensures that students are trained not only as technology users, but also as experts who develop new algorithms, produce research, and design solutions to complex problems.”
Neuroscience and artificial intelligence meet under the same roof
Prof. Ergüzel pointed out that the Artificial Intelligence Engineering Master's Program, opened within the Institute of Science, takes this specialization to a more advanced level in the axis of health sciences and neuroscience. He stated, “The university's long-standing neuroscience research and studies on EEG and neuroimaging data offer an interdisciplinary research environment where students can apply artificial intelligence to real-world problems. Thus, students are trained not only to follow technological developments but also as future scientists and experts who investigate the effects of artificial intelligence on human health and quality of life.”
Human-centered artificial intelligence approach
Prof. Ergüzel stated that many artificial intelligence programs primarily focus on computer science and software development. He said, “The most important factor that differentiates our Artificial Intelligence Master's Program is its interdisciplinary approach that integrates artificial intelligence with neuroscience, psychology, health sciences, and engineering. While many programs in English focus primarily on computer science and software development, Üsküdar University connects artificial intelligence research with the functioning of the human brain, cognitive processes, neurotechnology, and clinical applications. This approach provides students not only with technical knowledge but also with a human-centered artificial intelligence perspective.”
Prof. Ergüzel also noted that the university's strong research infrastructure is one of the program's significant advantages. He stated, “Studies conducted in areas such as computational neuroscience, AI-supported disease diagnosis systems, EEG-based data analysis, emotion recognition technologies, and clinical decision support systems allow students to participate in real research projects. Furthermore, Üsküdar University's international successes in interdisciplinary science demonstrate that the program is developing within a strong academic ecosystem.”
From generative artificial intelligence to brain-computer interfaces
Prof. Ergüzel stated that within the scope of the program, students will have the opportunity to work with current technologies. He said, “Within the program, students will have the opportunity to work on current artificial intelligence technologies such as machine learning, deep learning, big data analytics, generative artificial intelligence, computer vision, natural language processing, and data mining. In addition, AI-supported decision systems, autonomous systems, and multimodal artificial intelligence applications, which are becoming increasingly important today, are also among the important components of the education and research processes.”
Students will be able to contribute to research
Prof. Ergüzel also explained that in line with Üsküdar University's research vision, students will have the opportunity to participate in projects specifically for health technologies and neuroscience applications. He said, “Analysis of EEG and neuroimaging data, AI-supported early diagnosis systems, emotion recognition technologies, brain-computer interfaces, computational psychiatry, and neurotechnology applications are among the prominent areas of study for the program. Thus, students will not only acquire theoretical knowledge but will also be able to contribute to research that develops concrete applications of artificial intelligence for human health.”
Artificial intelligence has a wide range of applications
Prof. Ergüzel stated that artificial intelligence today has a very wide range of applications, from healthcare services to financial risk analysis, from smart transportation systems to education technologies. He said, “Research focuses on topics such as big data analysis, predictive modeling, decision support systems, image processing, and autonomous technologies. Especially in terms of smart cities, sustainability, resource management, and the improvement of public services, the solutions offered by artificial intelligence are gaining increasing importance.”
The NPModel example draws attention
Prof. Ergüzel, providing information on artificial intelligence studies conducted at Üsküdar University, continued as follows:
“At Üsküdar University, health and neuroscience-based artificial intelligence research is at the forefront. The psychiatric disease classification and treatment prediction model using neuroimaging data, such as NPModel, which is currently in use and is one of the pioneering works in our country in this field, has been developed with the contributions of our doctoral and master's students. Studies conducted at our university include the analysis of EEG and brain imaging data with artificial intelligence, the development of models for early diagnosis of neuropsychiatric diseases, emotion recognition systems, clinical decision support applications, and computational psychiatry research. In addition, interdisciplinary studies on the use of artificial intelligence in educational technologies, human behavior modeling, and human-centered digital transformation are also being carried out.”
Emphasis on ethics, data security, and social responsibility
Prof. Ergüzel stated that with the widespread adoption of artificial intelligence systems, not only technical success but also ethical responsibility has gained significant importance. He said, “Therefore, in today's artificial intelligence education, topics such as data privacy, security, transparency, accountability, and the reduction of algorithmic biases are among the core components. Training experts who can evaluate the impact of artificial intelligence solutions on society has become as important as technological competence. Üsküdar University's human-centered scientific approach offers a significant advantage in this regard. Due to the nature of research conducted in health sciences and neuroscience, ethical evaluations, data security processes, and the protection of individual rights are an integral part of the research culture. The program aims to train students not only to develop algorithms but also to become responsible technology leaders who can evaluate the ethical, legal, and social dimensions of artificial intelligence systems.”
Future artificial intelligence leaders will be trained
Prof. Ergüzel concluded his words by stating that the competencies expected from artificial intelligence engineers will significantly change in the coming years:
“In the coming period, artificial intelligence engineers will be expected to possess not only programming and algorithm development skills, but also interdisciplinary thinking, data interpretation, research and development, and ethical decision-making competencies. As artificial intelligence systems integrate more with fields such as health, biotechnology, neurotechnology, and human-machine interaction, experts' ability to collaborate with different disciplines will be critically important. Furthermore, next-generation technologies such as generative artificial intelligence, explainable artificial intelligence, and brain-inspired computing will be among the future areas of expertise. The Artificial Intelligence Master's Program, opened within the Institute of Science and taught in English, aims to prepare its students not only for existing technologies but also for future research areas, taking this transformation into account. The program, with its structure bringing together artificial intelligence, neuroscience, health technologies, and data science, supports students in evaluating complex problems multi-dimensionally. Thanks to the opportunity to work with real clinical data, participation in research projects, and an interdisciplinary scientific culture, graduates will be equipped to compete globally in both academic research and technology-focused sectors.”
