CST 500   Enterprise Architecture, Strategic and Technical Research 3 credits

This course provides a comprehensive exploration of Enterprise Architecture (EA), focusing on strategic planning and technical research. It equips students with the skills to design, implement, and manage architectures that align an organization's business strategy, processes, information systems, and technology infrastructure to achieve success.

CST 510   Project Management, Systems Development, and Risk 3 credits

This course offers an integrated study of project management principles, systems development methodologies, and risk management practices within the context of complex global IT projects. This course is designed for students and professionals seeking a comprehensive understanding of how to effectively manage projects, develop robust IT systems, lead diverse multi-disciplined teams, and proactively address project risks for successful project delivery.

CST 520   Database Systems 3 credits

This course offers a comprehensive study of the principles, design methodologies, and practical applications of database management systems to support the enterprise of the future (DBMS). This course is designed for students and professionals interested in understanding the core concepts of database systems and developing the skills to design, implement, and manage databases and datasets for various applications.

CST 530   Artificial Intelligence, High Performance Compute, and Ethical Considerations 3 credits

This course offers an integrated study of the principles, techniques, ethical considerations, and applications of artificial intelligence (AI) in combination with high-performance computing (HPC). This course is designed for students and professionals interested in harnessing the power of advanced computing technologies to develop and deploy AI solutions that can process vast amounts of data and solve complex problems at scale.

CST 540   Cloud Architecture and Infrastructure 3 credits

This course provides a comprehensive study of cloud computing principles, design methodologies, and best practices for architecting scalable and reliable cloud-based, hybrid, and multi-cloud solutions assisting global organizations design and build the architectures and infrastructures of the future. This course is designed for students and professionals interested in understanding how to design, deploy, and manage cloud infrastructure to meet the demands of modern global enterprises utilizing advanced applications and services.

CST 544   Artificial Intelligence in Computer Vision 3 credits

This course is designed for students seeking an in-depth exploration of the latest advancements in artificial intelligence (AI) applied to computer vision. Building on foundational computer vision concepts, this course delves into state-of-the-art AI techniques, deep learning architectures, and advanced methodologies used in solving complex vision tasks. Through a combination of theoretical understanding, hands-on projects, and cutting-edge research, students will gain the expertise needed to push the boundaries of AI in the realm of computer vision.

CST 600   Advanced Algorithms 3 credits

This course gives students the foundational training for the artificial intelligence era. The course offers an in-depth exploration of complex algorithms and data structures, enabling students to develop a deep understanding of algorithm design, analysis, optimization, and automation. This course is designed for students with a strong background in computer science and algorithms who seek to delve into more advanced topics and tackle challenging computational and automation business problems.

CST 603   Security Operations and Risk Management 3 credits

This advanced graduate-level course is designed to provide a comprehensive understanding of security operations and risk management principles within the context of information security. Participants will explore the key components of managing security operations, responding to incidents, and implementing risk management strategies to safeguard organizational assets. The course integrates theoretical concepts with practical applications to prepare students for roles requiring expertise in security operations and risk mitigation.

CST 605   Machine Learning and Artificial Intelligence 3 credits

This course offers an in-depth study of the principles, algorithms, and applications of machine learning and AI technologies. This course is designed for students and professionals seeking to develop a strong foundation in both machine learning and AI and to apply these powerful techniques in solving real-world challenges across diverse domains.

CST 610   Information Technology Audit, Control, and Risks 3 credits

This course provides a comprehensive study of digital governance. Topics include the principles, methodologies, and best practices related to auditing, controlling, managing IT systems, and technology and business risks within organizations. This course is designed for students and professionals interested in understanding the critical role of IT auditing and risk management in ensuring the security, reliability, and compliance of information technology systems

CST 615   Introduction to Data Engineering 3 credits

This course provides an in-depth exploration of the fundamental principles and practices in the field of data engineering focused on the building of tools, transformation, and accessibility of data. This course is designed for students with a basic understanding of data requirements and flows driving towards practitioners to develop the skills necessary to design, build, and maintain data pipelines for handling large-scale data processing and storage.

CST 618   Training Machine Learning & Large Language Models 3 credits

Explore the advanced realms of machine learning and LLM's in this graduate-level course. Delve into the intricacies of the training and development of machine learning and large language models, while gaining a comprehensive understanding of the underlying algorithms, optimization techniques, and cutting-edge methodologies. Through hands-on projects and theoretical exploration, you'll sharpen your skills in effectively training models, preparing you for the dynamic landscape of machine learning and large language model applications.

CST 620   Computer Vision 3 credits

This course provides an in-depth exploration of the principles, techniques, and applications of computer vision as we enter the exciting era of autonomous technologies and products. Computer Vision is a cutting-edge field of study that enables machines to interpret and understand visual information, anomalies, and phenomena from images and videos. This course is designed for students with a strong background in computer science or related fields who wish to delve into the fascinating world of computer vision and its real-world applications.

CST 622   Leadership, Ethics and Bias in Artificial Intelligence 3 credits

This course delves into the ethical considerations, societal implications, and challenges related to the development and deployment of artificial intelligence (AI) systems. Focusing on the intersection of technology and ethics, the course explores the ethical frameworks guiding AI, the impact of bias in AI algorithms, and strategies for responsible and inclusive AI development. Through case studies, discussions, and practical exercises, students will gain a deep understanding of the ethical dimensions of AI and develop the skills to navigate the complex landscape of ethical decision-making in AI applications.

CST 625   Advanced Database Administration 3 credits

This course offers an in-depth exploration of the principles, techniques, and best practices involved in administering and managing complex and large-scale relational and non-relational database systems for global enterprises. This course is designed for students and professionals with a solid foundation in database administration who seek to enhance their skills and knowledge in handling challenging database environments with complex qualitative and quantitative datasets.

CST 627   Deep Learning/Neural Networks 3 credits

Embark on a profound journey into the world of artificial intelligence with our graduate-level course on deep learning and neural networks. This in-depth exploration will equip you with the knowledge and skills needed to unravel the complexities of neural architectures, optimization strategies, and advanced deep-learning techniques. Engage in hands-on projects and theoretical analyses to master the art of designing, implementing, and fine-tuning neural networks. Elevate your understanding of cutting-edge applications and be at the forefront of innovation in the ever-evolving field of deep learning.

CST 628   Asset Security, Security Assessment & Testing 3 credits

This advanced graduate-level course provides an in-depth exploration of two critical domains within the field of information security: Asset Security and Security Assessment & Testing. Participants will delve into the principles, methodologies, and best practices associated with managing and protecting organizational assets, as well as conducting effective security assessments to identify and remediate vulnerabilities. The course combines theoretical foundations with hands-on applications to equip students with the skills required for roles involving asset protection and security testing.

CST 630   Data Engineering Solutions Applications 3 credits

This course is an advanced-level program that builds upon the foundational knowledge of data engineering principles and focuses on practical applications of data engineering in real-world scenarios. This course is designed for students who have completed an introductory data engineering course or have equivalent knowledge and want to delve deeper into the implementation of applied, industry relevant data engineering solutions to address complex data challenges faced by organizations.

CST 633   Autonomous and Smart Product Development 3 credits

This course provides an in-depth exploration of the principles, technologies, and methodologies involved in creating innovative and intelligent products capable of autonomous decision-making and adaptive behavior. This course is designed for students with a background in engineering, robotics, artificial intelligence, or related fields who aspire to design cutting-edge products that leverage autonomous systems and smart technologies.

CST 635   Data Science Tools 3 credits

This course provides an in-depth exploration of the essential tools, software, and programming languages used in the field of data science. This course is designed for students and professionals seeking to gain hands-on experience with the tools that support the end-to-end data science workflow, from data acquisition and preprocessing to analysis, modeling, and visualization.

CST 637   Security Architecture and Engineering 3 credits

This advanced graduate-level course is designed to provide students with a comprehensive understanding of the principles, methodologies, and best practices associated with security architecture and engineering. Participants will explore the design, implementation, and management of secure systems, emphasizing the integration of security measures into the fabric of organizational structures. The course combines theoretical foundations with practical applications, ensuring that students acquire the skills required for roles involving the development and maintenance of robust security architectures.

CST 640   Platform and Product Development 3 credits

This course offers a comprehensive study of the principles, strategies, and practices involved in developing successful platforms and products in the technology industry. This course is designed for students interested in entrepreneurship, product management and development, software development, and those aspiring to build innovative and scalable technology solutions for any industry.

CST 643   Reinforcement Learning 3 credits

This course offers an in-depth exploration of reinforcement learning, a subfield of artificial intelligence that focuses on how agents learn to make decisions through interaction with an environment. Participants will gain a deep understanding of theoretical concepts, algorithmic approaches, and practical applications of reinforcement learning in various domains. Reinforcement learning is a subfield of machine learning that deals with agents learning to make sequential decisions. This course covers algorithms like Q-learning, policy gradients, and deep reinforcement learning, Advancing with applications in robotics, gaming, and autonomous systems.

CST 645   Natural Language Processing 3 credits

This course offers a comprehensive study of the principles, methodologies, and applications of NLP, a branch of artificial intelligence that focuses on the interaction between computers and human language. This course is designed for students and professionals interested in understanding and developing technologies that enable machines to understand, interpret, and generate human language driving comprehensive business and industry outcomes.

CST 648   Communication and Network Security 3 credits

This graduate-level course is designed to provide students with a comprehensive understanding of the principles, technologies, and best practices associated with communication and network security. Participants will delve into the core concepts of securing data transmission, network infrastructure, and communication protocols. The course integrates theoretical foundations with practical applications to ensure students acquire the skills needed for roles involving the design and management of secure communication and network environments.

CST 650   Performance and Requirements Engineering 3 credits

This course offers a comprehensive study of the principles, methodologies, and techniques involved in engineering and managing performance and non-functional requirements of software systems. This course is designed for students and professionals in the field of software engineering who are interested in understanding how to design, analyze, and optimize the performance of complex software applications while meeting various non-functional requirements.

CST 655   Big Data and Data Mining 3 credits

This course offers an in-depth exploration of two interrelated fields: big data and data mining. This course is designed for students and professionals to provide the patterns, practices, and procedures aligned with a solid foundation in data analysis and database concepts, who seek to understand the challenges and opportunities presented by big data and learn how to leverage data mining techniques to extract valuable insights from vast datasets.

CST 657   Identity and Access Management (IAM) 3 credits

This advanced graduate-level course provides a comprehensive exploration of Identity and Access Management (IAM) principles, methodologies, and best practices. Participants will delve into the critical aspects of managing user identities, enforcing access controls, and implementing secure authentication mechanisms. The course is designed to equip students with the knowledge and skills required to design, implement, and manage effective IAM solutions in complex organizational environments.

CST 660   Data Operations for Agile Data Management 3 credits

This course provides a comprehensive study of the principles, practices, and tools related to DataOps, a methodology that combines the principles of DevOps with data management to enable efficient and agile data and business processes. This course is designed for students and professionals interested in streamlining data workflows, improving collaboration between data teams, and maximizing the value of data in an organization through insights and automation.

CST 665   Network Architecture and Analysis 3 credits

This course provides a comprehensive study of the principles, design methodologies, and analytical techniques used in building and analyzing modern computer networks for the present and future global enterprise. This course is designed for students and professionals interested in understanding the intricacies of network architecture and developing the skills to design, optimize, and troubleshoot complex network infrastructures meeting the demands of advanced organizations.

CST 670   Predictive Analytics 3 credits

This course provides a comprehensive study of techniques and methodologies used to predict future outcomes and trends based on historical data. This course is designed for students and professionals with a strong foundation in data analysis and statistics who want to advance their skills in predictive modeling and apply data-driven insights to make informed decisions.

CST 675   Reinforcement Learning 3 credits

This course offers an in-depth exploration of the principles, algorithms, and applications of reinforcement learning, a subfield of artificial intelligence focused on training agents to make decisions in dynamic and uncertain environments based in a reward-like framework. This course is designed for students and professionals interested in understanding and implementing advanced machine learning techniques that enable agents to learn from interaction and achieve complex tasks through trial, error, and rewards-based frameworks.

CST 680   Advanced Agile Portfolio Management 3 credits

This course offers an in-depth exploration of the principles, methodologies, and best practices involved in managing and optimizing IT portfolios and programs using agile principles and practices. This course is designed for experienced IT professionals, project managers, and IT leaders who seek to enhance their skills in aligning IT investments with business goals, delivering value through agile practices, and maximizing the impact of IT projects.

CST 685   Empirical Methods and Data Visualization 3 credits

This course is designed to equip students with the essential skills to conduct empirical research and effectively communicate findings through data visualization. This course is suitable for students and professionals seeking to enhance their abilities in data analysis, research methodologies, and visual representation of data-driven insights.

CST 690   Robotic Process Automation (RPA) 3 credits

This course provides a comprehensive study of the principles, technologies, and applications of RPA in automating repetitive and rule-based business processes. This course is designed for students and professionals interested in leveraging automation to enhance productivity, reduce errors, and optimize business workflows.