Sep 28, 2023  
Fall 2020 Catalog 
Fall 2020 Catalog FINAL VERSION - Closed for Revisions

Computing and New Media Technologies - Graduate Program

Robert Dollinger
Room B-246, Science Building
Phone: 715-346-4409

Master of Science in Data Science

The online M.S. in Data Science degree program will focus primarily on adult and nontraditional students who hold an undergraduate degree and have the desire to continue their education toward a graduate degree, primarily to expand knowledge and specialized skills in this area and for career advancement. The multidisciplinary curriculum has been designed to prepare data science professionals to solve real-world problems as part of an interdisciplinary team using structured and unstructured data. A listing of student learning outcomes is provided below.

The M.S. in Data Science is a fully online 36-credit (12 three-credit courses to include a capstone course) graduate program offered jointly by UW-Eau Claire, UW-Green Bay, UW-LaCrosse, UW-Oshkosh, UW-Stevens Point, and UW-Superior. The program follows a home-campus model. Apply to one of the six partner institutions. Upon admittance, that institution will become your administrative home for the degree through graduation.

Student Learning Outcomes

  • Identify and assess the needs of an organization for a data science task.
  • Collect and manage data to devise solutions to data science tasks.
  • Select, apply, and evaluate models to devise solutions to data science tasks.
  • Interpret data science analysis outcomes.
  • Effectively communicate data science related information in various formats to appropriate audiences.
  • Value and safeguard the ethical use of data in all aspects of the profession.
  • Transform findings from data resources into actionable business strategies.

For more information, please go to

Master of Science in Information Technology Management

Students completing the M.S. in IT Management degree will gain the following core competencies and learning outcomes:

Competency A: Conduct financial analysis and develop and manage technology budgets

Upon completion of the program, students will be able to:

  • Interpret and create pro forma financial statements
  • Perform financial analysis for IT strategic planning purposes including portfolio management
  • Develop and manage technology budgets

Competency B: Lead and manage technology. functions, projects and personnel

Upon completion of the program, students will be able to:

  • Plan and manage technology projects
  • Develop organizational leadership skills relevant for IT management
  • Lead IT personnel to meet organizational needs

Competency C: Demonstrate effective professional collaboration and soft skills appropriate for technology settings

Upon completion of the program, students will be able to:

  • Demonstrate ability to effectively conduct crucial conversations
  • Demonstrate ability to effectively communicate with stakeholders across the organization
  • Demonstrate professional behavioral skills accounting for ethics, diversity and cultural sensitivity

Competency D: Manage security and compliance, accounting/or governance and ethical implications

Upon completion of the program students will be able to:

  • Apply ethical frameworks to analyze problems and evaluate alternative solutions
  • Create and manage technology policies and procedures for an organization with an understanding of the regulatory environment.
  • Interpret and manage IT governance policies
  • Design appropriate security architecture with an understanding of the technology

Competency E: Investigate and plan innovative solutions for business challenges

Upon completion of the program, students will be able to:

  • Evaluate the impact of emerging technologies
  • Analyze data lo address organizational challenges and create competitive advantages
  • Analyze requirements and propose technical solutions

Competency F: Engineer, develop and deploy strategies for enterprise systems

Upon completion of the program, students will be able to:  

  • Develop appropriate data management technologies.
  • Create and deploy enterprise solutions in support of organizational goals
  • Plan and implement projects related to infrastructure, security, software development or data analysis