MS in Business Analytics Competency Goals

Ethics

Primary Focus of Competency Goal

Focus on ethical decision making.

Learning Objectives

Our graduating students should:

1. Recognize complex ethical dilemmas and biases in data analytics
2. Assess the potential impact of data biases on multiple stakeholders and recommend
   actions to address these issues
3. Assess potential ethical and social implications of black box analytics techniques
4. Identify and evaluate the pros and cons of alternative decisions from multiple
   perspectives

Global/Multicultural Perspective

Primary Focus of Competency Goal

Focus on global and multicultural perspective.

Learning Objectives

Our graduating students should:

1. Recognize important international and multicultural issues in analytics
2. Explain the implications of multicultural biases and issues related to analytics scenarios
3. Explain the interdependencies among global and local regulations in data and analytics
4. Propose solutions that consider global dimensions or multicultural perspectives
5. Identify and evaluate the potential outcomes, implications, and shortcomings related to implementing specified recommendations

Communication Skills

Primary Focus of Competency Goal

Focus on oral and written communication skills.

Learning Objectives

Our graduating students should:

1. Effectively communicate professionally and persuasively when writing, speaking, and giving oral presentations to non-experts
2. Properly document sources of information, assumptions and methodologies that
   lead to problem solutions
3. Prepare professional programmer notebooks that serve as reports using modern
   platforms
4. Professionally document and comment computer programming codes

Critical Thinking Skills

Primary Focus of Competency Goal

Focus on analyzing quantitative and qualitative information.

Learning Objectives

Our graduating students should:

1. Be critical thinkers who are able to draw meaning from large and complex quantitative or qualitative data and information
2. Perform sophisticated data analysis using appropriate algorithms and techniques.
3. Evaluate the relative importance and credibility of data and information, identify conflicting or missing data and differentiate symptoms from substantive issues
4. Draw information from multiple perspectives, differentiate fact from opinion, identify, and prioritize salient information and develop and support sophisticated solutions
5. Synthesize and propose alternative approaches, evaluate alternate courses of action and critique opposing viewpoints