$5,250 Graduate Certificates

Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact.  Equips students with the knowledge and skills necessary to confidently navigate the ever-evolving landscape of artificial intelligence.

Course Syllabus: CS5047_Syllabus

4 Credits

The design, development, and deployment of AI interacts with a wide range of values, including fairness, privacy, transparency, autonomy, and well-being. While AI as a technical field is advancing rapidly, enabling applications across domains and sectors, the frameworks, regulations, and ethical tools necessary to realize the promise of AI while promoting and protecting values are not robust. This course develops an understanding of the current legal, regulatory, and ethical landscape, and develops the tools necessary to responsibly engage with AI.

Course Syllabus: PHIL5110_Syllabus

4 credits

Explores the foundations of Human-Centered AI in this dynamic graduate course. Examines the critical processes underpinning AI development and deployment. Investigates methodologies for integrating human perspectives into AI systems. Applies user-centered design principles to AI-driven products and services. Analyzes the ethical implications of AI applications in various organizational contexts. Discusses strategies for fostering collaboration between AI technologies and human users. Evaluates case studies showcasing the diverse uses of AI across business processes and products. Engages in hands-on projects to design AI solutions tailored to human needs. Critically assesses the societal impacts of Human-Centered AI adoption. Prepares to contribute to the responsible use of AI systems that prioritize human values and well-being.

Course Syllabus: ARTG6460_Syllabus

4 credits

D'Amore-McKim School of Business

Explores how artificial intelligence (AI) empowers businesses to enhance competitiveness. Examines  how AI integrates with business strategy. Offers students an opportunity to recommend business solutions through the integration of AI capabilities. Focuses on leveraging machine learning techniques like unsupervised, supervised, and reinforcement learning for data-driven insights. Examines the intersection of managerial practices and AI capabilities through real-world case studies. Students also have an opportunity to gain practical insights into implementation and ethical considerations and navigate the dynamic landscape of AI-driven business transformations.

Course Syllabus: MISM6250_Syllabus

4 credits

Bouvé College of Health Sciences

Presents foundational information about artificial intelligence and its applications in healthcare, public health, pharmacology, and pharmaceutical sciences. Develops AI literacies for entry-level clinical practice, public health, and health-related careers. Provides an overview of the history of AI, most common types of AI approaches, and state-of-the-art of AI in health-related applications. Distinguishes realities from hype around AI’s capabilities and limitations and reviews ethical and regulatory considerations. Offers students experiential opportunities to build a conceptual AI solution to a real-world problem in the health space. Technical background in AI/computer science not required.

Course Syllabus: HLTH5800_Syllabus

4 credits

Offers non-clinical professionals an opportunity to develop effective communication skills for working with individuals with mental health disorders and/or trauma histories. Provides opportunities to apply these skills in context via relevant, real-world scenarios and decision-making situations. Covers key clinical communication techniques and how to integrate trauma-informed principles into their daily interactions. Focuses on effective communication and relationship-building skills with children, adolescents, and families or adults. Combines theoretical knowledge, evidence-based strategies, and practical applications to enhance interpersonal interactions.

3 credits

Introduces the foundations of trauma theory to offer students a trauma-sensitive perspective to the continuum of practice from policy making to direct client service. Reviews the neurophysiology of trauma. Examines causative factors and evidence-based treatments of trauma-related mental health issues (e.g., PTSD). Reviews current theory and research on topical areas related to trauma including intimate partner violence, child abuse, sexual assault, school and community violence, war and terrorism, and other emerging trauma issues.

3 Credits

Works from a broad definition of culture and diversity. In addition to traditional culture and ethnic classifications, examines disability, poverty, and gender as culturally defining factors. Also explores the dynamics of culture in social systems, with the perspective of valuing differences in society and sociocultural forces impinging on culture from the ecological perspective.

3 Credits

Applied Psychology Focus

Identifies categories of human difficulty and abnormal behavior through current DSM terminology. Is based in a cultural and gender competent bio-psycho-social model over the life span. Discusses both preventive and individual interventions for each category. Also introduces treatment planning and treatment guidelines.

3 Credits

Child, Adolescent, Family Focus

Covers DSM-IV and major forms of psychopathology including the neuroses (obsessional states, hysteria, anxiety states, and phobias), the pyschoses (schizophrenia, mania, depression, and paranoia), psychosomatic, sociopathy, conduct disorders, organic disorders, and mental retardation. Discusses the relationship between categories of special education disabilities (emotional impairment, autism, and so on) and DSM-IV.

3 Credits

Offers students an opportunity to understand general business strategy concepts as they relate to the healthcare industry. Explores how to analyze market opportunities and challenges as they apply to various healthcare organizations, such as hospitals, physician organizations, and nursing homes. Presents and discusses analytical frameworks for making strategic decisions, drawing on different disciplines, including economics, management, and psychology. Strategic issues include mergers and acquisitions, vertical integration, joint ventures and alliances, performance-control systems, and organizational design.

3 credits

Examines today's evolving environment, in which effective utilization of human resources is a source of competitive advantage. To maximize the contribution of organizational members, managers must be able to understand, diagnose, and influence workplace behavior in the context of change. Topics include management of cross-functional teams and boundaryless organizations. Emphasis is on the role of corporate culture and distributed leadership.

3 credits

Explores key principles of accounting, as presented in the principal financial statements. Using those principles, explores a number of accounting practices and issues. Develops tools of financial analysis and financial planning and applies the information gained to business decision making. Utilizing the principle of time value of money to compare inflows and outflows of funds occurring at different times, develops basic decision tools for managers to make sound financial choices and to understand the context in which they are made. At the end of the course, the successful student should have a sound basic understanding of accounting and financial matters and the ability to understand business decisions in context and to evaluate the choices that management faces in the normal course of business development.

3 credits

Studies patient engagement and health informatics systems and analyses of data collected from these systems. Patient engagement is the ability and willingness of patients to manage their own health and care combined with interventions to increase patient involvement in their own health and care, as well as other positive health behaviors. In these interventions, health informatics systems and analyses of data are used. Offers students an opportunity to engage in data analytic exercises to investigate the underlying design and implementation of health informatics systems used in patient engagement initiatives. Presents an overview of the current state, new technologies, and other areas (health reform, legal, privacy, quantified self) influencing the future direction of patient engagement.

3 credits

Offers topics and skills designed to prepare students for advanced courses in data analytics engineering. Covers basic concepts and implementation of methods related to probability, eigenvalues and eigenvectors, cluster analysis, text mining, and time series analysis. Offers students an opportunity to learn how to work with modern data structures and apply computational methods for data cleaning and data wrangling operations.

4 credits

Offers students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. Covers basics of Python and R for data mining and visualization. Introduces students to static and interactive visualization charts and techniques that reveal information, patterns, interactions, and comparisons by focusing on details such as color encoding, shape selection, spatial layout, and annotation. 

4 credits

Covers the theory and applications of database management to support data analytics, data mining, machine learning, and artificial intelligence. Discusses the fundamental concepts and emerging technologies in database design and modeling, database systems, data storage, and the evolving world of data warehousing and data governance. Presents a balanced theory-practice focus and covers relational databases, NoSQL databases, data integration, data quality, data governance, big data, and data processing for analytics.

4 credits

Covers the theory and applications of data mining in engineering. Reviews fundamentals and key concepts of data mining, discusses important data mining techniques, and presents algorithms for implementing these techniques. Specifically covers data mining techniques for data preprocessing, association rule extraction, classification, prediction, clustering, and complex data exploration. Discusses data mining applications in several areas, including manufacturing, healthcare, medicine, business, and other service sectors.

4 credits

Introduces the first two stages of an organizational communication program—research and strategy. Covers the information gathering a practitioner must perform, from organizational objectives to key stakeholder groups, to develop optimal communications solutions. Includes the three communications elements critical to achieving the desired communications outcomes—audience, message, and channel. Introduces methods for producing communications plans that support organizational performance. Offers students an opportunity to gain an understanding of the evolving roles and responsibilities of different communication functions.

3 credits

Considers how internal and external communications networks through digital and nondigital media can be leveraged when designing and executing communication plans. Offers students an opportunity to construct multimedia signature stories to influence target audiences and to support organizational objectives. Explores stakeholder analysis, communication planning methodology, and the principles of persuasion. Students apply concepts by experimenting with various tools and platforms and learning from the experiences and reflections of their peers.

3 credits

Examines the need for communication professionals to understand the environment and context for the communications programs they develop and operate. Explores how ethical issues and intercultural communication both affect and are affected by organizational communication programs. Considers key questions when it comes to topics that can trigger strong stakeholder reactions. Through discussion, real-world scenarios, and case analysis, offers students an opportunity to apply the framework and principles to answer these questions and keep the organization’s communications on the right path.

3 credits

Focuses on demonstrating the value of communication activities to the organization. Explores an evaluative framework and measurement tools to make data-driven decisions and recommendations for improvement. Offers students an opportunity to apply the framework to assess a communications channel for real-world organizations.

3 credits

Studies foundational knowledge and concepts in modern project management. Presents insights into various project management methodologies while providing a structured approach to understanding key principles, models, methods, and processes required to manage various project types in the business environment. Introduces project management software programs. Emphasizes the practical application of project management tools to enhance efficiency and productivity. Strongly recommended for students with little or no formal project management experience.

3 credits

Integrates scope, schedule, and cost planning to offer students a deep dive into project definition, stakeholder needs assessment, cost estimation, and schedule development. Explores practical tools for translating needs into measurable project scope documents, creating resource-loaded schedules, managing trade-offs, and controlling scope creep. Emphasizes developing budget baselines, handling variances, managing project costs, and utilizing earned value analysis for cost and schedule oversight. Offers students an opportunity to obtain the skills to optimize project plans, manage bottlenecks, and establish contingencies, enhancing project management proficiency.

3 credits

Explores project risk management in-depth. Emphasizes essential principles, models, methods, and processes for optimizing project outcomes. Introduces the power of quantitative risk assessment, informed decisions through evidence-based approaches, and probabilistic estimates. Provides hands-on experiences with practical risk analytics using state-of-the-art technology. Emphasizes crafting robust risk management plans that prioritize continuous risk monitoring and the proactive management of sustainability risks. Offers students an opportunity to learn how to navigate project uncertainties to increase the likelihood of project success.

3 credits

Introduces project quality management principles, processes, models, and methods necessary to deliver quality projects and products within organizations. Discusses how to integrate PQM processes into the overall project plan and how to prepare a PQM plan. Offers students an opportunity to work together in a team environment to complete a PQM plan for a project. Topics include quality planning, quality assurance, quality control, statistical process control, process capability analysis, cost of quality, quality analytics, and quality management systems.

3 credits