Courses for the Master of Science in Informatics and Analytics
(36 hours required)
MSIA 5013 Principles of Informatics and Analytics (3)
Principles of informatics including theories, concepts, and principles of information, information seeking, cognitive processing, knowledge representation and restructuring, and their relationship to physical and intellectual access to information. Different perspectives from which data is used, the different terminology used when referring to them and a number of representation and manipulation methods. Illustrative examples from the perspectives of hypothesis testing and query formation and answering.
MSIA 5023 Information Structures (3)
The concepts and structures used to analyze, store, manage, and present information and navigation. Topics include information analysis and organization methods, XML, and metadata concepts and application.
MSIA 5043 Principles of Statistical Analysis and Decision Modeling (3)
Principles of statistical and probabilistic analysis with focus on practical decisions and risk using quantitative models. Topics include overview of probability, descriptive and graphical statistical methods, sampling and sampling distributions, estimation, hypothesis testing, analysis of variance, study design and linear regression, decision modeling and simulation, and in-depth discussion on application of statistical techniques to the processing and interpretation of data from various industries and disciplines.
MSIA 5053 Research Methods in Informatics (3)
The research process investigating information needs, creation, organization, flow, retrieval and use. Stages include: research definition, questions, objectives, data collection and management, data analysis, and data interpretation. Techniques include: observation, interviews, questionnaires, and transaction-log analysis.
MSIA 5123 Worldview of Health Informatics and Analytics (3)
Overview to the field of health informatics and analytics with a focus on the multidisciplinary understanding necessary for effective decision-making within a health context. Topics include finance, business strategy, information technology, communications, security, law and ethics, human resources and vendor relationships within health services delivery, management, planning and consumption contexts. A focus on developing a robust and mature understanding of the health data landscape and the approach required to research and design an effective decision-making strategy based on provider and/or consumer requirements, constraints and opportunities.
MSIA 5133 Worldview of Business Informatics and Analytics (3)
Overview to the field of business informatics and analytics with a focus on the multidisciplinary understanding necessary for effective decision-making within a business context. Topics include finance, business strategy, information technology, communications, security, law and ethics, human resources and vendor relationships. A focus on developing a robust and mature understanding of the business data landscape and the approach required to research and design an effective decision-making strategy based on organizational requirements, constraints and opportunities.
MSIA 5143 Informatics and Analytics Practicum I (3)
The informatics and analytics practicum is intended to give participants an experience working as a member of a informatics and analytics team conducting a data analytics research and design phase of a real-world project. The students will be asked to serve in team roles (teams of 4-5), hold oral research and design reviews, and prepare documentation appropriate to the project. Informatics and Analytics Practicum I is the first of two required MSIA Practicum courses.
MSIA 5153 Big Data Management and Analytics (3)
How traditional data management is not big data management. Drivers behind big data. Challenges of big data. Storing and processing big data. Big data management and processing. Automatically learning hidden trends and patterns in big data. Tools and techniques for big data analytics. Processing unstructured data.
MSIA 5163 Data Mining and Analysis (3)
Computational techniques for analysis of large, complex datasets, covering fundamental aspects as well as modern data mining and analysis techniques. Hands-on experience with data mining software.
MSIA 5173 Information Ethics, Law and Policy (3)
Framework for analyzing the ethical, legal, economic, and socio-political issues surrounding information, information technologies, and the information industries. Policy and ethical issues of information access and control including intellectual property, file sharing, free speech, privacy, and national security.
MSIA 5213 Predictive Analytics and Data Mining (3)
Investigation of predictive modeling using valuable prospective intelligence hidden within large volumes of data. In-depth study of data mining techniques at a tactical level, and understanding of how various methods and tools apply to different kinds of data intensive problems.
MSIA 5223 Case Studies in Health Informatics and Analytics (3)
Deep and critical examination of contemporary health informatics and analytics implementations. Focus on understanding factors necessary to develop an effective informatics and analytics program within a health context.
MSIA 5233 Case Studies in Business Informatics and Analytics (3)
Deep and critical examination of contemporary business informatics and analytics implementations. Focus on understanding factors necessary to develop an effective informatics and analytics program within a business context.
MSIA 5243 Informatics and Analytics Practicum II (3)
This course is a continuation of MSIA 5133 (Informatics and Analytics Practicum I). MSIA 6113 focuses on implementation and analytics phase of the real-world project. In addition, students will participate in the design and implementation reviews of other teams in the class.
|(courses for cohort starting in August, 2013)|
|2014 Course Dates||Course Number / Name|
|3/3, 3/6, 3/10, 3/13, 3/17, 3/20, 3/24, 3/27 (Monday / Thursday)||
MSIA 5013 / Principles of Informatics and Analytics
|4/3, 4/7, 4/10, 4/14, 4/17, 4/21, 4/24, 4/28 (Monday / Thursday)||MSIA 5043 / Principles of Statistical Analysis and Decision Modeling|