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.