Knowledge Management
Overview
Program of Study
Curriculum
Course Descriptions
Knowledge Management (KM) is the systematic process of developing, organizing, retaining and using knowledge resources that contribute to an organization's sustained success. Because the knowledge-based economy and the explosive growth of internet-related information have increased the need for the creative and effective use of knowledge, KM is a rapidly expanding field. Notre Dame's Master of Science in Knowledge Management program responds to the growing demand for KM professionals in today's knowledge economy.
Both public and private organizations must now manage the architecture of knowledge from a variety of traditional and internet-based resources. To adapt and thrive in a fast-changing, competitive economic climate, organizations are hiring KM professionals who will enhance their ability to serve clients and realize strategic priorities. Notre Dame's KM program meets the need for organizations to manage "big data."
Tom Kuegler, General Partner at Wasabi Ventures LLC in Baltimore says "Knowledge Management is a field of study that I see being used every day by our portfolio companies. Any company that targets the health care, legal, or educational markets needs to have an understanding of KM."
Program of Study
Notre Dame's Master of Science in Knowledge Management is a multidisciplinary program of computer studies, mathematics and economics. The program focuses on competencies in areas of knowledge management technologies, quantitative processes, and economic principles of change and risk management. It prepares professionals to specialize in the creation, enhancement and use of knowledge.
The Knowledge Management program includes 36 credits of coursework. Classes are offered in a cohort model: seven-week classes, one night a week, two consecutive courses per semester. The program builds skills and knowledge in areas that are crucial to potential employers.
Curriculum (36 Credits)
Computer Studies Courses (24 Credits)
CST-530 Foundations of Knowledge
Management (3)
CST-531 Data Design and Management (3)
CST-532 Knowledge Tools (3)
CST-540 Advanced Knowledge Tools and
Technologies (3)
CST-550 Project Management (3)
CST-610 Critical Inquiry (3)
CST-611 Data Security (3)
CST-620 Data Mining and Warehousing (3)
Mathematics Courses (6 Credits)
MAT-575 Applied Statistics (3)
MAT-576 Data and Decision Modeling (3)
Economics Courses (6 Credits)
ECO-550 Managerial Economics (3)
ECO-560 Risk Analysis (3)
Course Descriptions
CST-530 FOUNDATIONS OF KNOWLEDGE MANAGEMENT
Introduces the data, information, knowledge, wisdom continuum.
Topics covered include the historical roots of knowledge management,
theories/definitions of knowledge, and culture and strategies
of knowledge management. [3 credits]
CST-531 DATA DESIGN AND MANAGEMENT
Covers fundamental concepts for the design, use and implementation
of database systems. Concepts include basic database modeling and
design, query optimization, concurrency control, recovery and
integrity. [3 credits.]
CST-532 KNOWLEDGE TOOLS
Studies concepts for SQL procedures, functions, packages and
Internet database connectivity. Web application development
techniques based on client and server-side programming are
introduced. Standard methods and protocol for knowledge
representation and exchange over the Internet such as XML, RDF,
SOAP, WSDL and UDDI are discussed. [3 credits]
CST-540 ADVANCED KNOWLEDGE TOOLS AND TECHNOLOGIES
Analyzes Internet-based knowledge tools and platforms including
social media, blogs, unified messaging, portals and other
unstructured data source on the Internet. Current knowledge
management tools and technologies include content management,
business intelligence, search engines, intelligent agents, mind
mapping and idea processors, enterprise knowledge portals,
collaboration and learning systems.
[3 credits]
CST-550 PROJECT MANAGEMENT
Reviews the application of project management tools as they apply to
the systems development life cycle, including planning,
organizational structure, and control mechanisms. Research
assignments relate to the design and implementation of knowledge
construction and management. [3 credits]
CST-610 CRITICAL INQUIRY
Studies the role of critical thinking, evaluation and research in
information and knowledge work. The course will cover the
steps in carrying out a research project: problem identification,
theoretical framework, methodological design, data collection and
analysis; developing a research proposal; communicating research
results; and assessment and use of results of research
studies. The course will also provide a critique and review of
research studies, and discuss ethical concerns and issues associated
with research. [3 credits]
CST-611 DATA SECURITY
Provides an overview of both the theory of and applications for
providing privacy, ethics and security in database management
systems. Concepts include discretionary and mandatory access
control, data integrity availability and performance, secure
database design, data aggregation, data inference, secure
concurrency control and secure transactions processing. [3 credits]
CST-620 DATA MINING AND WAREHOUSING
Provides an overview of the data mining and warehousing components
of the knowledge discovery process. Data mining applications are
introduced, and the application of statistical algorithms and
techniques useful for solving problems are identified. Students will
study development issues such as identification, selection,
acquisition, processing, search and retrieval. [3 credits]
ECO-550 MANAGERIAL ECONOMICS
Introduces economic methodologies to managerial decisions. Examines
consumer demand, production costs, and output/price combinations
that maximize firms' goals under different market structures.
Applies basic math and statistics tools to evaluate business
choices. All statistics and mathematics used in the class are
explained in basic terms at the point of first usage. [3 credits]
ECO-560 RISK ANALYSIS
Covers risk analysis as an evolving paradigm for decision making in
uncertain situations. Risk analysis consists of three tasks: risk
management, risk assessment and risk communication. This course
introduces the language, models and methodologies of risk
management, assessment and communication with an emphasis on the
need for addressing uncertainty in all phases of decision making. [3
credits]
MAT-575 APPLIED STATISTICS
Covers concepts of testing for use in professional sciences,
including simple linear regression, correlation, multiple
regression, fixed and random effects, analysis of variance, analysis
of covariance, experimental design, multivariate methods and various
statistical packages. [3 credits]
MAT-576 DATA AND DECISION MODELING
Provides an application-oriented introduction to the modeling
techniques used to structure the way we think about managerial
decision situations. Methodologies considered include decision
analysis, simulation, optimization and sensitivity analysis.
Stochastic models are developed with applications to finance,
operations management, logistics and resource allocation. [3
credits]