Computer Science (M.S.)

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Program Level Learning Outcomes

Concentration: Cybersecurity 1

Objective

Students will develop proficiency in the computer science and statistical content knowledge specific to their concentration.

Program Level Learning Outcomes

Concentration: Cybersecurity 2

Objective

Students will develop the ability to create appropriate data management plans in scientific, business, government, or industrial contexts.

Program Level Learning Outcomes

Concentration: Cybersecurity 3

Objective

Students will develop the ability to identify appropriate algorithms, data structures, and statistical techniques for practical problem situations involving large data sets.

Program Level Learning Outcomes

Concentration: Cybersecurity 4

Objective

Students will develop the ability to draw appropriate conclusions and to recommend decisions based on analysis of data while recognizing the effect of assumptions and the limitations of the analysis.

Program Level Learning Outcomes

Concentration: Cybersecurity 5

Objective

Students will develop the business background to understand the finance, marketing, and employee and consumer relationships which form the context in which data-driven decisions are made and implemented.

Program Level Learning Outcomes

Concentration: Cybersecurity 6

Objective

Students will develop the communications kills necessary to consult with clients about their needs and to convey information to a non-technical audience.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 1

Objective

Students will develop skills to study real world problems and then design and implement appropriate solutions.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 2

Objective

Students will develop the ability to create appropriate data management plans in scientific, business, government, or industrial contexts.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 3

Objective

Students will develop the ability to identify appropriate algorithms, data structures, and statistical techniques for problems involving large data sets including Big Data.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 4

Objective

Students will develop programming skills to use data analysis functions and libraries in practical data science problems.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 5

Objective

Students will develop skills to design and administer databases on different platforms, and program in a scripting language used to interface databases to web pages.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 6

Objective

Students will develop skills to use data mining methods including data integration, transformation, visualization, classification, and clustering in real world projects.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 7

Objective

Students will develop the ability to apply knowledge in data warehouse and data cube technology to the analysis of large data sets including Big Data.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 8

Objective

Students will develop the ability to draw appropriate conclusions and to recommend decisions based on analysis of the data while recognizing the effect of assumptions and the limitations of the analysis.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 9

Objective

Students will develop the ability to engage in a supervised computing research program resulting in completion of a project or thesis.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 10

Objective

Students will develop the business background to understand the finance, marketing, and employee and consumer relationships which form the context in which data-driven decisions are made and implemented.

Program Level Learning Outcomes

Concentration: Data Mining and Analytics 11

Objective

Students will develop the communication skills necessary to consult with clients about their needs to to convey information to a non-technical audience.