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Program Educational Objectives and Student Outcomes
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Bachelor of Science in Data Science and Analytics
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Program Educational Objectives
Our graduates are expected to attain the following objectives within a few years of
graduation:
- Graduates will succeed in the field of Data Science and Analytics, demonstrating high-quality analytical knowledge and skill sets.
- Graduates will consistently demonstrate professional integrity and ethical principles
in their careers.
- Graduates will stay current with emerging data science technologies and tools, continuously
adapting to advancements in the field to drive innovation and efficiency in their
work.
- Graduates will contribute positively to their community and society, applying data science knowledge for societal benefit.
Student Outcomes
Upon successful completion of this program, graduates will be able to:
- Analyze a complex computing problem and apply principles of computing and other relevant
disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
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Master of Science in Data Science and Analytics
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Student Outcomes
Upon successful completion of this program, graduates will be able to:
- Effectively investigate large, raw data sets using statistical software to develop
previously unknown insights from various sources.
- Apply foundational and advanced analytical methods and techniques to prepare, analyze,
visualize, model, and interpret data for a variety of data science tasks and objectives.
- Effectively interpret and communicate analysis methods and findings to audiences in
an oral, visual, and/or written format as appropriate.
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Ph.D. in Data Science and Analytics
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Student Outcomes
Upon successful completion of this program, graduates will be able to:
- Apply, analyze, and synthesize foundational concepts from graph theory, combinatorics,
machine learning, big data analytics, and statistical data mining on effective problem-solving,
advanced data analysis, algorithmic application, or methodology development.
- Design, conduct, and manage original research that advances data science methodologies
and contributes new knowledge to the field.
- Develop professional skills to manage or collaborate on research with a profound understanding
of ethical considerations in data collection, analysis, and dissemination.
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