A minimum of 32 units with an overall cumulative GPA of at least 3.0 is required for the Master of Communication Informatics.
Foundations (16 units, 4 courses)
- COMM 502 Theoretical Approaches to Multidisciplinary Design Projects (4 units)
Focuses on theories and research in communication and social sciences to bridge disciplines to produce a proposal, business plan, publication, or a research project.
- INF 549 Introduction to Computational Thinking and Data Science (4 units)
Introduction to data analysis techniques and associated computing concepts for non-programmers. Topics include foundations for data analysis, visualization, parallel processing, metadata, provenance, and data stewardship.
- INF 510 Principles of Programming for Informatics (4 units)
Programming in Python retrieving, searching, and analyzing data from the Web. Programming in Java. Learning to manipulate large data sets.
- INF 550 Overview of Data Informatics in Large Data Environments (4 units)
Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set clusters; in-data techniques
Informatics Core (Take 4 units)
- INF 529 Security and Privacy in Informatics (4 units)
Fundamental concepts in information security and privacy; security and privacy policies, threats, and protection mechanisms; security and privacy laws, regulations, and ethics.
- INF 552 Machine Learning for Data Informatics (4 units)
Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces. Recommended preparation: INF 550 and INF 551 taken previously or concurrently; knowledge of statistics and linear algebra; programming experience.
- INF 553 Foundations and Applications of Data Mining (4 units)
Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on Map Reduce. Case studies. Recommended Preparation: INF 550, INF 551 and INF 552. Knowledge of probability, linear algebra, basic programming, and machine learning.
- INF 554 Information Visualization (4 units)
Graphical depictions of data for communication, analysis, and decision support. Cognitive processing and perception of visual data and visualizations. Designing effective visualizations. Implementing interactive visualizations.
- INF 559 Introduction to Data Management (3 units)
- ENGR 596 Internship in Engineering (1 unit)
Part-time or full-time, practical work experience in the student's field of study. The internship must be located at an off-campus facility. Students are individually supervised by faculty. May not be taken until the student has completed at least one semester of enrollment in the graduate program. Graded Credit/No Credit.
- INF 590 Directed Research (1 unit)
Research leading to the master's degree; maximum units which may be applied to the degree to be determined by the department. Graded Credit/No Credit.
Communication Core (12 units, take 3 courses from the following)
- CMGT 510 Communication, Values, Attitudes and Behaviors (4 units)
Theory and research on value and attitude formation and change; consequences for communication and behavior.
- CMGT 520 Social Roles of Communication Media (4 units)
How mass media shape public images of groups, channel political power, promote consumption of goods. Social and political theories as tools in evaluating media impact.
- CMGT 530 Social Dynamics of Communication Technologies (4 units)
Impact of television, satellites, computers, and other new technologies; competing theories about the role of technology in society; historical effects of introducing new technologies.
- CMGT 555 Online Marketing Communication Development and Analysis (4 units)
Analysis and development of online communication and marketing campaigns; exploration of current Internet best practices in social media, SEM, privacy, location-based marketing, and online measurement.
- COMM 648 Online Communities and Networks (4 units)
Examination of academic research on the social, cultural, political, and economic effects of online communities; policy implications of this research; mobile technology’s role in community building.