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College of Computing and Informatics Graduate Program Level Outcomes

Upon degree completion, graduates of our programs will be able to...

MS-Health Informatics

  • Articulate the ways in which data, information, and knowledge are used to solve health problems from the individual to the population level.
  • Apply theories, methods, and processes for the generation, storage, retrieval, use, management, and sharing of healthcare data, information, and knowledge. 
  • Apply, adapt, and validate informatics concepts and approaches as they relate to specific biomedical and healthcare problems. 
  • Select relevant concepts and techniques from the social sciences to solve problems in health informatics.
  • Work collaboratively across disciplines to define, discuss, and resolve health problems from the individual to the population level.
  • Analyze the ethical and policy issues related to biomedical and healthcare informatics.

MS-Information Systems

  • Use a human-centered approach to analyze information needs and design solutions to meet those needs.
  • Lead or contribute substantially to a team in developing information technology products and services.
  • Evaluate, compare, and select from alternative and emerging information technologies.
  • Communicate with technical and non-technical audiences about information technology concepts and stakeholder needs.
  • Contribute substantially to an information technology plan for an organization.
  • Explain information technology uses, benefits, and ethical and global issues for individuals and organizations.

MS-Library and Information Science

  • Identify and analyze the information needs of various communities (e.g., academic institutions, local neighborhoods, workplaces, schools) and design and implement library/information programs and services to meet those needs. 
  • Explain the foundational principles, professional ethics and values, and social and technological contexts within which various information professionals work. 
  • Analyze and apply information policies and information-related laws (including the standards and guidelines of pertinent professional organizations) that advance the creative and ethical applications of information technologies and the delivery of information resources throughout society 
  • Foster the core values of the profession (e.g., access, equity, intellectual freedom, privacy, social justice) in all programs and services offered to communities and individual users. 
  • Encourage the development of information literacy in support of individuals’ and communities’ needs (e.g., in formal and informal education, career development, healthcare and financial planning, research innovation, political and social engagement, etc.). 
  • Lead and manage information agencies, projects, and people through creative and effective approaches to planning, budgeting, policy making, fundraising, communication, and advocacy. 
  • Use research, data, and technology in sophisticated ways to demonstrate the value of the library and to help individuals and communities address community challenges (e.g., poverty and hunger, population shifts, economic development, preservation of cultural heritage, etc.). 
  • Help individuals and communities understand, appraise, organize, manage, and preserve digital assets available through a variety of formal and informal sources and to create and manage their own digital identities and materials effectively. 

MS-Data Science

  • Analyze a problem and identify and define the data analysis, computing and result presentation requirements appropriate to its solution.
  • Interpret and communicate the output of statistical and algorithmic methods.
  • Function effectively on a team to design and implement a computer-based data analysis system.
  • Harvest, collect, and integrate diverse data to produce valued project resources.
  • Implement and use existing data science tools and systems.
  • An ability to add value to existing data sources through annotation and cleaning.
  • Apply mathematical foundations, algorithmic principles, and computational knowledge in the modeling and design of data analysis systems in a way that demonstrates comprehension of the trade-offs involved in design choices.
  • Design, implement, and evaluate a computer-based data analysis system, process, component, or program to meet desired needs.
  • Apply sound software engineering principles in the construction of computer-based data analysis systems of varying complexity.
  • Communicate the ethical aspects of data collection and analysis, and to communicate these aspects as part of result interpretation.
  • Communicate the legal and ethical aspects of using data-driven analysis in societal contexts.

MS-Software Engineering

  • Organize and manage software development teams and lead large-scale software projects.
  • Effectively translate user requirements into software products.
  • Apply design principles, patterns, and technologies to create and maintain software systems.
  • Communicate and analyze software using models and state-of-the-art tools.
  • Perform effective software quality assessment, technical debt calculation, effort estimation and prediction.
  • Continue to learn throughout their career and to keep pace with changing technology as appropriate to their positions.