M.S. Student Competencies
We've identified the competencies that you should gain when completing the M.S. in Information. These competencies will help you develop and apply mastering content through subject-area content and learning experiences.
C1: Computational and analytic thinking and doing
Students will establish the ability to exercise the four key techniques of computational thinking: decomposition, pattern recognition, abstraction, and algorithms in solving information and data challenges, in addition to analytically.
C1.A: Decomposition: Students will be able to break down a complex problem or system into smaller, more solvable problems.
C1.B: Pattern recognition: Students will be trained to look for similarities among and within problems.
C1.C: Abstraction: Students will gain the ability of recognizing and focusing on the essential components of a problem/issue while ignoring distracting peripheral factors in order to develop one solution that works for a class of problems.
C1.D: Algorithms: Students will be able to design and implement a step-by-step solution to a problem, including design and implement a computer algorithm using a computer language to solve a problem.
C1.E: Students will demonstrate fluency in at least one programming language.
C2: Data manipulation, analysis, and interpretation
Students will obtain the skills of collecting, manipulating, and analyzing different types of data at different scales, and interpreting the results properly.
C2.A: Students will be able to identify specific types of data for different analytical methods
C2.B: Students will be able to use/develop efficient computational methods to clean, format, transfer, and store data.
C2.C: Students will be able to apply appropriate statistical, machine learning, visual analytics, and other techniques to identify patterns and make sound predictions with given data.
C2.D: Students will be able to develop methods to align and integrate data from multiple sources.
C2.E: Students will understand the ethical and legal requirements of data privacy and security.
C3: Communication and teamwork
Students will acquire skills to work with others within and across disciplines and be effective communicators.
C3.A: Students will acquire experience working in an interdisciplinary team, either as a productive team member or a team leader. Students will become effective project managers.
C3.B: Students will be able to effectively articulate various evidence supporting a solution and to communicate the results of their work, using appropriate graphics, visualizations, multi-media vehicles, or artistic performance.
C4: Creative contributions
Through experiential learning, students will know how to conduct original and innovative work, involving computational thinking, data-intensive methodologies, and/or human-centered designs that will extend the body of knowledge in the field of Information.
C5: Ethics and Values
Students will demonstrate an understanding of information/data ethics, and the values of the information fields to serve diverse user groups.