Master of Science in Technology Management: Computer Science

BU 601 focuses on understanding and managing individual and group behavior in organizations, stress management and well-being, and ethical responsibilities in business. The course explores the organizational behavior model, diversity’s role in interpersonal interactions, and job satisfaction measurement. Students learn about emotions, moods, and the relevance of intellectual and physical abilities. The curriculum covers virtual communication in modern organizations and the negotiation process. It addresses stress management at individual and organizational levels and examines group decision-making strengths and weaknesses. By integrating these topics, the course provides a comprehensive understanding of human behavior in organizational settings, equipping students with essential skills for effective management and ethical leadership in today’s dynamic business environment.

OD 655 examines the fundamental role of creativity and innovation in leadership and organizational development. The course connects these concepts to various organizational practices, including human resources programs and organizational development interventions. Students explore the significance of creativity and innovation at individual, team, and organizational levels. The curriculum emphasizes the application of creative and innovative approaches to problem-solving, human resources management, team dynamics, and diversity initiatives. By focusing on these areas, the course aims to enhance organizational effectiveness and adaptability. Students gain proficiency in relevant terminology, concepts, and analytical techniques, preparing them to foster innovation and creativity in their professional roles and contribute to organizational growth and success.

OD 688 provides a comprehensive exploration of leadership theory within the context of management and organizations. The course surveys a broad spectrum of leadership theories and the research underpinning them. Students learn to analyze various models of leadership behavior and effectiveness, understanding both their strengths and limitations. The curriculum examines how organizational structures, followers, and situations influence leadership effectiveness. It also delves into the impact of leadership on change processes within organizations. By the end of the course, students are equipped to compose their own set of guiding principles for leadership development. This approach enables students to apply theoretical knowledge practically, developing their leadership skills and understanding of organizational dynamics.

PM 672 offers a comprehensive overview of project management, focusing on its main components, project metrics, and strategies to improve project success rates. The course explores various project management approaches, including traditional IPECC, agile, and scrum methodologies. Students gain familiarity with key project metrics and learn to perform basic calculations, acquiring practical tools for use in their professional environments. The curriculum emphasizes the critical balance between hard and soft skills essential for project managers’ success. It covers interpersonal dynamics, project lifecycle planning, and effective management of project participation, teamwork, and conflict. The course also provides insights into the PMP exam, preparing students for professional certification. This practical approach equips students with the skills needed to navigate complex project environments successfully.

CS 694 Capstone for the Master of Science in Technology Management program, requiring students to complete a faculty-approved applied research project demonstrating professional competence. This 16-week course integrates theoretical knowledge with practical application, allowing students to showcase skills developed throughout their master’s program and work experience. The project contributes to relevant discipline literature and is comparable to professional-level work. Students apply theory and practice in their specific discipline, develop a research proposal and literature review, and either apply the action research model or recommend actions based on case study data. This comprehensive project demonstrates students’ ability to research, analyze, and apply management theories to real-world scenarios, preparing them for advanced roles in their chosen fields.

CS 695 Internship offers a structured learning and work experience in a position in the field approved for graduate credit. This internship course aims to bridge academic knowledge with professional practice, allowing students to apply theoretical concepts in real-world settings. The curriculum focuses on developing essential workplace skills such as problem-solving, teamwork, and effective communication. Students have the opportunity to explore various career paths, gain insights into potential job roles, and build professional networks. The internship enhances employability by providing hands-on experience and specific job-related skills. Through reflective practices and feedback, students engage in personal and professional growth, identifying strengths and areas for improvement. This practical experience prepares students for successful entry into the workforce post-graduation.

This course provides an introduction to the fundamentals of computer science and programming. Students will learn the basic principles of programming languages, algorithms, data structures, and problem-solving techniques. The course will use a high-level programming language such as Python or Java, and will emphasize practical programming skills and software development best practices

This course provides an in-depth study of data structures and algorithms. Students will learn how to design, analyze, and implement efficient algorithms and data structures that can be used to solve a wide range of computational problems. The course will cover topics such as graphs, trees, hash tables, sorting and searching algorithms, and dynamic programming.

This course provides an in-depth study of database management systems (DBMS). Students will learn how to design, implement, and manage DBMS for efficient data storage, retrieval, and manipulation. The course will cover topics such as relational data modeling, database design, query processing, and database security.

This course provides an in-depth study of system analysis and design. Students will learn how to analyze business processes and user requirements, and design efficient and effective information systems that meet those requirements. The course will cover topics such as requirements gathering, modeling techniques, system architecture, and software design patterns.

This course provides an in-depth study of enterprise architecture and system integration. Students will learn how to design and manage complex IT systems that span multiple functional areas, departments, and organizations. The course will cover topics such as enterprise architecture frameworks, service-oriented architectures, system integration technologies, and enterprise application integration.

This course provides an in-depth study of cloud computing and big data analytics. Students will learn how to design, deploy, and manage cloud-based big data solutions that enable real-time data analysis, storage, and retrieval. The course will cover topics such as cloud infrastructure, big data platforms, data analysis algorithms, and data security.

This course provides an in-depth study of artificial intelligence (AI) and machine learning (ML). Students will learn how to design, implement, and evaluate AI and ML models that enable intelligent decision-making, pattern recognition, and natural language processing. The course will cover topics such as neural networks, deep learning, reinforcement learning, and natural language processing.