The Master of Cyber Security (Thesis) program is focused on equipping students with advanced knowledge in cybersecurity principles, practices, and technologies. The program aims to prepare graduates to address critical issues related to information security, risk management, and data protection in an increasingly digital world.

The Master of Data Science (Non-Thesis) program is designed to prepare students for the fast-evolving field of data science. It focuses on equipping graduates with the necessary skills to analyze complex data, utilize machine learning techniques, and make data-driven decisions to solve real-world problems.

The Master of Cyber Security (Thesis) program prepares students for advanced roles in the rapidly-evolving field of cybersecurity. It aims to develop expertise in protecting information systems and networks, addressing the growing concern of cyber threats in various industries.

The Associate of Hair Care and Beauty Services program is designed to provide students with the essential skills and knowledge required for a successful career in the beauty and wellness industry. This program covers various aspects of hair care, skincare, makeup application, and beauty treatments. Its importance lies in promoting personal grooming and enhancing clients' confidence through professional services.

The Associate of Pastry and Bakery program is designed to equip students with the skills and knowledge necessary to excel in the art of baking and pastry creation. This program focuses on both traditional and modern techniques, emphasizing creativity and technique, which are crucial for a successful career in the culinary arts.

The Associate of Interior Design program prepares students to create functional and aesthetically pleasing interior spaces. Focused on the principles of design, this program equips students with both the creative and technical skills necessary for a career in interior design. It plays a vital role in enhancing the quality of life and promoting sustainability in built environments.

The Associate of Interior Design program prepares students to create functional and aesthetically pleasing interior spaces. Focused on the principles of design, this program equips students with both the creative and technical skills necessary for a career in interior design. It plays a vital role in enhancing the quality of life and promoting sustainability in built environments.

The Associate of Banking and Insurance program prepares students for careers in the financial services sector, focusing on key aspects of banking, insurance, and finance. Its goals include providing students with knowledge of financial products, risk management, and regulatory frameworks. This program is important as it addresses the critical need for skilled professionals in the rapidly evolving banking and insurance industries.

The Bachelor of Artificial Intelligence Engineering is a four-year, English-medium undergraduate engineering program specifically created to educate the new generation of engineers who design, develop, train, deploy, and maintain intelligent systems that perceive, learn, reason, and act autonomously in real-world applications ranging from smart cities and autonomous vehicles to personalized medicine and advanced industrial automation. Launched in recent years by Turkey’s leading technical universities (Middle East Technical University, Boğaziçi University, Sabancı University, Özyeğin University, Koç University, Bilkent University, TOBB University of Economics and Technology, Istanbul Technical University, and others), the program has rapidly become one of the most competitive and sought-after degrees because Turkey is investing heavily in becoming a regional AI powerhouse through national strategies, large-scale public-private R&D projects, and the establishment of AI-focused technology development zones. Students receive a rigorous, mathematics-heavy, and project-based education that fuses classical computer engineering and electrical-electronics engineering fundamentals with cutting-edge artificial intelligence theory and practice. The curriculum typically begins with a strong first-year foundation of calculus, linear algebra, physics, introduction to programming (Python and C++), discrete mathematics, and data structures. Second-year courses deepen core engineering knowledge through probability and statistics, signals and systems, digital design, algorithms, databases, computer architecture, and object-oriented programming. From the third year onward, students dive into specialized AI engineering sequences including machine learning theory and algorithms, deep learning and neural networks (CNNs, RNNs, transformers, GANs), reinforcement learning, natural language processing, computer vision and image processing, speech recognition and synthesis, knowledge representation and reasoning, probabilistic graphical models, optimization for machine learning, big data engineering (Spark, Hadoop, Kafka), cloud-based AI deployment (AWS SageMaker, Azure ML, Google Vertex AI), MLOps and model lifecycle management, robotics and embodied AI, ethical AI and algorithmic fairness, explainable AI, AI security and adversarial attacks, edge AI and tinyML, generative AI systems, and domain-specific applications such as autonomous driving, medical image analysis, financial forecasting, and smart manufacturing. Every semester includes intensive laboratory work and team projects where students implement algorithms from scratch, train large models on university GPU clusters, participate in international competitions (Kaggle, ImageNet, RoboCup, autonomous drone racing leagues), develop complete end-to-end AI solutions (from data collection to mobile/web deployment), and collaborate with industry partners on real commercial problems through capstone projects in the final year. Most programs mandate a thirty to sixty-day summer internship at AI labs of major Turkish technology companies or global firms with R&D centers in Turkey, and many students publish papers or present at conferences before graduation. Graduates, titled Artificial Intelligence Engineer, immediately command the highest starting salaries among all engineering disciplines in Turkey and enjoy virtually unlimited career options because every sector is racing to integrate AI solutions. They are recruited by global technology giants with large Istanbul and Ankara R&D offices (Google, Microsoft, Amazon, Huawei, Siemens, Mercedes-Benz, Ford Otosan AI labs), leading Turkish defense and aerospace companies developing autonomous systems (ASELSAN, TUSAŞ, Baykar, Roketsan), fast-growing AI startups and unicorn companies (Insider, Trendyol Tech, Getir, Dream Games, Peak Games), financial institutions building next-generation fraud detection and algorithmic trading platforms (Garanti BBVA Technology, İş Bankası MaxiTech, Akbank), telecommunication operators implementing 5G/6G network intelligence (Turkcell, Vodafone, Türk Telekom), automotive firms transitioning to software-defined and autonomous vehicles (TOFAŞ, BMC, Karsan), smart-city and energy companies (İBB iSpark, Enerjisa), health-tech firms using AI for diagnostics and drug discovery, and an increasing number of government institutions under the Digital Transformation Office and TÜBİTAK Artificial Intelligence Institute. Many graduates are hired abroad directly from campus by companies in the United States, Germany, United Kingdom, and the Gulf countries, while others launch their own AI startups supported by TÜBİTAK grants and techno-parks. Within three to five years, high-performing graduates advance to senior AI engineer, machine learning research scientist, AI solutions architect, or chief AI officer roles with compensation packages that rapidly reach upper six figures in Turkish lira equivalents plus significant stock options in technology firms. The social prestige of AI engineers has reached extraordinary levels among younger generations, who view them as the architects of the future and key contributors to both national technological sovereignty and global scientific progress. Some graduates pursue master’s and PhD degrees at top universities worldwide (Stanford, MIT, Oxford, ETH Zurich) with full scholarships, while others prefer the explosive professional growth available in industry. In summary, the English-medium Bachelor of Artificial Intelligence Engineering produces world-class, innovation-ready engineers who stand at the very center of the fourth industrial revolution, enjoy unmatched employment prospects, exceptional financial rewards, and immense societal respect in a country that has decisively chosen artificial intelligence as one of its primary paths to economic and technological leadership in the twenty-first century.

The Bachelor of Information Technology (Business Information Management) program focuses on the intersection of technology and business management. It aims to equip students with the knowledge and skills to leverage information technology for business improvement and strategic decision-making. This program is essential for training professionals who can manage and implement IT solutions in a business context.

The Bachelor of Artificial Intelligence Engineering is a four-year, English-medium undergraduate engineering program specifically created to educate the new generation of engineers who design, develop, train, deploy, and maintain intelligent systems that perceive, learn, reason, and act autonomously in real-world applications ranging from smart cities and autonomous vehicles to personalized medicine and advanced industrial automation. Launched in recent years by Turkey’s leading technical universities (Middle East Technical University, Boğaziçi University, Sabancı University, Özyeğin University, Koç University, Bilkent University, TOBB University of Economics and Technology, Istanbul Technical University, and others), the program has rapidly become one of the most competitive and sought-after degrees because Turkey is investing heavily in becoming a regional AI powerhouse through national strategies, large-scale public-private R&D projects, and the establishment of AI-focused technology development zones. Students receive a rigorous, mathematics-heavy, and project-based education that fuses classical computer engineering and electrical-electronics engineering fundamentals with cutting-edge artificial intelligence theory and practice. The curriculum typically begins with a strong first-year foundation of calculus, linear algebra, physics, introduction to programming (Python and C++), discrete mathematics, and data structures. Second-year courses deepen core engineering knowledge through probability and statistics, signals and systems, digital design, algorithms, databases, computer architecture, and object-oriented programming. From the third year onward, students dive into specialized AI engineering sequences including machine learning theory and algorithms, deep learning and neural networks (CNNs, RNNs, transformers, GANs), reinforcement learning, natural language processing, computer vision and image processing, speech recognition and synthesis, knowledge representation and reasoning, probabilistic graphical models, optimization for machine learning, big data engineering (Spark, Hadoop, Kafka), cloud-based AI deployment (AWS SageMaker, Azure ML, Google Vertex AI), MLOps and model lifecycle management, robotics and embodied AI, ethical AI and algorithmic fairness, explainable AI, AI security and adversarial attacks, edge AI and tinyML, generative AI systems, and domain-specific applications such as autonomous driving, medical image analysis, financial forecasting, and smart manufacturing. Every semester includes intensive laboratory work and team projects where students implement algorithms from scratch, train large models on university GPU clusters, participate in international competitions (Kaggle, ImageNet, RoboCup, autonomous drone racing leagues), develop complete end-to-end AI solutions (from data collection to mobile/web deployment), and collaborate with industry partners on real commercial problems through capstone projects in the final year. Most programs mandate a thirty to sixty-day summer internship at AI labs of major Turkish technology companies or global firms with R&D centers in Turkey, and many students publish papers or present at conferences before graduation. Graduates, titled Artificial Intelligence Engineer, immediately command the highest starting salaries among all engineering disciplines in Turkey and enjoy virtually unlimited career options because every sector is racing to integrate AI solutions. They are recruited by global technology giants with large Istanbul and Ankara R&D offices (Google, Microsoft, Amazon, Huawei, Siemens, Mercedes-Benz, Ford Otosan AI labs), leading Turkish defense and aerospace companies developing autonomous systems (ASELSAN, TUSAŞ, Baykar, Roketsan), fast-growing AI startups and unicorn companies (Insider, Trendyol Tech, Getir, Dream Games, Peak Games), financial institutions building next-generation fraud detection and algorithmic trading platforms (Garanti BBVA Technology, İş Bankası MaxiTech, Akbank), telecommunication operators implementing 5G/6G network intelligence (Turkcell, Vodafone, Türk Telekom), automotive firms transitioning to software-defined and autonomous vehicles (TOFAŞ, BMC, Karsan), smart-city and energy companies (İBB iSpark, Enerjisa), health-tech firms using AI for diagnostics and drug discovery, and an increasing number of government institutions under the Digital Transformation Office and TÜBİTAK Artificial Intelligence Institute. Many graduates are hired abroad directly from campus by companies in the United States, Germany, United Kingdom, and the Gulf countries, while others launch their own AI startups supported by TÜBİTAK grants and techno-parks. Within three to five years, high-performing graduates advance to senior AI engineer, machine learning research scientist, AI solutions architect, or chief AI officer roles with compensation packages that rapidly reach upper six figures in Turkish lira equivalents plus significant stock options in technology firms. The social prestige of AI engineers has reached extraordinary levels among younger generations, who view them as the architects of the future and key contributors to both national technological sovereignty and global scientific progress. Some graduates pursue master’s and PhD degrees at top universities worldwide (Stanford, MIT, Oxford, ETH Zurich) with full scholarships, while others prefer the explosive professional growth available in industry. In summary, the English-medium Bachelor of Artificial Intelligence Engineering produces world-class, innovation-ready engineers who stand at the very center of the fourth industrial revolution, enjoy unmatched employment prospects, exceptional financial rewards, and immense societal respect in a country that has decisively chosen artificial intelligence as one of its primary paths to economic and technological leadership in the twenty-first century.

The Bachelor of Software Engineering (English) is a four-year, fully English-medium undergraduate program offered at Turkey’s top technical universities, accredited by YÖK and holding MÜDEK (ABET substantial equivalent) certification that guarantees global recognition through the Washington Accord. This elite degree produces world-class software engineers who can architect, develop, test, deploy, and maintain large-scale, secure, and high-performance software systems for global technology companies, unicorn startups, defense projects, fintech giants, and digital transformation initiatives in a country that has become one of the world’s fastest-growing software export hubs with more than 2,000 tech companies and multiple billion-dollar exits.Throughout the program students acquire an extraordinarily comprehensive, industry-aligned, and future-proof skill set that places them among the most recruited graduates worldwide. They master software development life cycles (Agile, Scrum, DevOps), advanced programming paradigms in Java, Python, C#, Go, Rust, and JavaScript/TypeScript, full-stack web and mobile development (React, Angular, Vue, Node.js, Flutter, React Native), cloud-native architectures on AWS, Azure, and Google Cloud, microservices and containerization with Docker and Kubernetes, database design and optimization (PostgreSQL, MongoDB, Redis), software security and secure coding practices, automated testing and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI), big data processing with Spark and Kafka, artificial intelligence integration (TensorFlow, PyTorch, LangChain), blockchain and smart contract development, game engine programming (Unity, Unreal Engine 5), embedded and real-time systems, formal methods and software verification, requirements engineering, and UI/UX principles, and technical project management. Students work on real industry projects from the first year, contribute to open-source repositories, participate in global hackathons, complete mandatory 60+ workday internships at Turkey’s leading software powerhouses (Huawei Turkey R&D, Siemens Turkey, Ericsson, Vodafone, Turkcell Tech, Trendyol Tech, Getir, Hepsiburada, Insider, Peak Games, Dream Games, Papara, Iyzico, Param, Aselsan, Havelsan, STM, Milsoft, Netaş, KoçDigital, Softtech, Figensoft), and graduate with a professional GitHub portfolio that typically includes several production-grade applications, published packages, and direct job offers.Graduates of the English-medium Bachelor of Software Engineering enjoy virtually 100% employment within three months and command the highest starting salaries of any undergraduate program in Turkey. They are aggressively recruited as software engineers, full-stack developers, cloud architects, DevOps engineers, mobile developers, backend specialists, AI engineers, blockchain developers, and technical leads by global giants with massive Istanbul and Ankara R&D centers (Google Turkey, Amazon Turkey, Microsoft Turkey, Meta, NVIDIA, Intel, SAP, Oracle, IBM, Cisco, Dell Technologies), Turkish unicorns and scale-ups (Trendyol, Getir, Hepsiburada, Insider, Dream, Peak), defense and aerospace software divisions (Aselsan, Havelsan, TUSAŞ, Roketsan), fintech leaders (Papara, Iyzico, Param, Tosla), banks (Garanti BBVA Tech, Akbank Lab, İşbank Soft), and international remote-first companies. Many graduates receive multiple offers with signing bonuses, stock options, and fully remote work options, while others launch their own SaaS startups backed by 500 Istanbul, Sabancı Ventures, or global accelerators. The profession commands massive social prestige because these engineers build the digital infrastructure that powers Turkey’s economy, security, and global competitiveness. Starting salaries consistently rank at the very top nationwide and rise exponentially with expertise in cloud, AI, or cybersecurity, enabling most graduates to reach solid upper-middle-class income within two years and millionaire status for top performers at global tech companies or successful startup exits before age thirty. In short, the English-medium Bachelor of Software Engineering offers the single most powerful, globally mobile, and financially rewarding education in Turkey today, transforming talented coders into the architects of tomorrow’s digital world.

The Master of Cyber Security (Thesis) program is structured to provide an in-depth exploration of the principles and practices of cybersecurity. It aims to develop critical thinking and advanced skills in identifying, analyzing, and mitigating cyber threats. The program is crucial for addressing contemporary security challenges and preparing graduates for research and leadership roles in the cybersecurity field.

The Master of Cyber Security (Non-Thesis) program is designed to equip students with advanced skills and knowledge in protecting digital information and infrastructure from cyber threats. The program focuses on the critical areas of cybersecurity, risk management, and information assurance. Its importance is underscored by the increasing need for robust security measures in an increasingly digital world.

The Master of Information Technology (Non-Thesis) program is geared towards equipping students with comprehensive knowledge and practical skills in the field of information technology. This program focuses on the integration of technology in various sectors, enabling graduates to tackle current technological challenges effectively. Its importance is underscored by the increasing reliance on technology in business processes and societal functions.

The Master of Information Technology (Non-Thesis) program is designed to provide students with advanced knowledge and skills in the field of information technology. This program focuses on practical applications of technology in business and other sectors, equipping graduates to address complex IT challenges in organizational contexts. Its goal is to prepare students for leadership roles in technology management and innovation, making it crucial in an increasingly digital world.

The Master of Information Technology (Thesis) program aims to provide a comprehensive understanding of advanced information technology principles, emphasizing research and development. This program seeks to equip students with the skills necessary to undertake innovative projects and contribute to the growing field of IT. Its importance lies in the need for skilled professionals who can analyze and solve complex problems using technology.

The Master of Information Technology (Thesis) program is designed to provide students with a robust understanding of advanced topics in information technology, focusing on research and development. This program aims to equip students with the skills necessary to contribute to technological advancements and solve complex IT challenges. Its importance is amplified by the growing demand for innovative solutions in a technology-driven world.

The Master of Sound Technologies (Non-Thesis) program is focused on teaching students the technical and creative skills necessary for recording, producing, and manipulating sound. This program aims to equip individuals with expertise in sound design, audio engineering, and technology applications in various media. Its importance lies in the increasing demand for sound professionals in industries such as music, film, and digital media.

The Master of Sound Technologies (Thesis) program is designed to provide students with advanced knowledge and skills in the field of sound engineering and technology. The program aims to develop research capabilities and foster innovation in sound design and production. It is important for cultivating professionals who can contribute to advancements in audio technologies and related fields.

The Master of Artificial Intelligence (Thesis) program focuses on providing students with a comprehensive understanding of artificial intelligence, emphasizing research and practical applications. This program prepares students not only to understand complex AI concepts but also to contribute to the field through innovative research. Its importance lies in the growing demand for advanced AI solutions in various sectors, making expertise in this area highly sought after.