Below are the Clinical Informatics graduate certificate courses that will be offered in the 34-credit M.S. in Clinical Informatics program.
Foundations in Clinical and Health Informatics (3 Credits)
This course will cover the fundamentals of informatics as it applies to healthcare and research. The course focuses on the expanding role of information technology for the delivery of healthcare, and provides a theoretical and practical introduction to the assessment, implementation, and management of these systems. The course underscores the application of these systems to the practice of medicine, in order to enhance health outcomes, improve patient care, and strengthen the clinician-patient relationship. Topics will emphasize the clinical informatics board-certification core content, which include fundamentals of clinical and biomedical informatics, clinical decision making and process improvement, health information systems, equity and social determinants of health, and management.
Clinical Information Systems (3 Credits) ▾
This course will cover advanced concepts of informatics as it applies to healthcare and research, with a focus on critical thinking skills. The course is the second of a two-part series of courses in Clinical Informatics. The focus of the course will be on the software engineering and socio-technical challenges specific to the design, development, validation, and implementation of these systems. Topics will include clinical software engineering, continuous process improvement, decision support systems, bioinformatics, public health informatics, telehealth, clinical imaging systems, personalized medicine, and health informatics literature.
Computer Literacy and Programming for Healthcare Personnel (3 Credits) ▾
This course will provide an introductory overview of computer science and programming for students who are not working in technology-based professions. This course is meant for beginners, with no prior experience in computer programming, and is meant to introduce healthcare professionals to the fundamentals of computer programming and information systems. Topics include fundamental programming concepts, fundamental data structures, scripting languages, web-based systems, algorithm design, database design, human factors, and software lifecycles
Decision Support Systems in Healthcare (3 credits) ▾
This course will give students an overview of information systems and decision systems used in health organizations. The course will examine the design, development, and implementation of decision support systems, focusing on how they fit into clinical workflows across various healthcare settings. Students will examine the analytical foundations of these systems, identify areas that might benefit from these systems, and gain an understanding in the challenges surrounding their implementation. Topics include decision support, evidence-based care, process improvement, privacy and security, unintended bias, database analysis and design, and data and information flow.
Below are the UMBC Data Science graduate certificate courses that will be offered in the 34-credit M.S. in Clinical Informatics program.
Intro to Data Science (3 credits) ▾
The goal of this class is to give students an introduction to and hands on experience with all phases of the data science process using real data and modern tools. Topics that will be covered include data formats, loading, and cleaning; data storage in relational and non-relational stores; data analysis using supervised and unsupervised learning using Python; data visualization; and scaling up for Big Data.
Intro to Data Analysis and Machine Learning (3 credits) ▾
This course provides a broad introduction to the practical side of machine-learning and data analysis. Topics covered include decision trees, logistic regression, linear discriminant analysis, linear and nonlinear regression, basic functions, support vector machines, neural networks, ensemble methods, evaluation methodologies, experiment design, and Bayesian networks.
Platforms for Big Data Processing (3 credits) ▾
The goal of this course is to introduce methods, technologies, and computing platforms for performing data analysis at scale. Topics include the theory and techniques for data acquisition, cleansing, aggregation, management of large heterogeneous data collections, processing, information and knowledge extraction. Students are introduced to map-reduce, streaming, and external memory algorithms and their implementations using Hadoop and its eco-system (HBase, Hive, Pig and Spark). Students will gain practical experience in analyzing large existing databases.
This course is specifically designed to support the range of complex data challenges data practitioners face today from optimizing relational database systems to managing big data. Students will get an overview of relational database management systems, SQL programming, and emerging big data technologies. Advanced topics include parallel and GPU computing using expert driven course materials and hands on labs from Nvidia.
Below are the practical courses that will be offered in the 34-credit M.S. in Clinical Informatics program.
Clinical Informatics Conference (1 Credit) ▾
This course will give students the opportunity to discuss and learn about important issues in the use of information technology to improve patient care. The conference meets monthly each semester, with students required to enroll for a minimum of 4 semesters to complete the M.S. in Clinical Informatics. Activities in the conference include grand rounds, journal club, and board review activities. Student can join the conference in-person or online.
Clinical Informatics Practicum (3 Credits) ▾
This course will give students the ability to demonstrate the knowledge and skills that have been acquired, with a focus on data collection, project management, and presentation skills. Students will be embedded in an informatics setting within the University of Maryland Medical System, work with interdisciplinary teams to address significant informatics challenges in both clinical and academic settings. As an alternative to embedding students on-site at the University of Maryland, distance-learning students can work online to develop a proposal and perform independent work under the supervision of an advisor.
Advanced Clinical Informatics Practicum (3 Credits) ▾
This course will give advancing students the ability to demonstrate substantive application of the knowledge and skills that have been acquired, with a focus on performing independent research. Students will be embedded in an informatics setting within the University of Maryland Medical System or an academic setting within the University of Maryland. As an alternative to embedding students on-site at the University of Maryland, distance-learning students can work online to develop a proposal and perform independent work under the supervision of an advisor.