Data Science Concentration

Learning Outcomes:

Communication: Students demonstrate effective written and oral communication including informed arguments, persuasion, synthesize complex data, and concepts.

Context: Students demonstrate comfort with and ability to effectively operate in: ambiguity, complexity, uncertainty, and change. Students will be adept at situational awareness.  Students understand the historical context of their culture and they will view the world from a global lens acknowledging the diversity of cultures and values.  Students demonstrate propositional thinking; they will test and iterate on ideas/solutions based upon feedback and learn from their own failures.

Quantitative: Students use quantitative and analytical methods to address unstructured business problems.

Ethics: Students demonstrate ability to evaluate decisions based on an awareness of relevant stakeholders in the creation of sustainable social, environmental, and economic value.

Cognitive Flexibility: Students demonstrate mastery of various thinking modes, notably analytic, synthetic, convergent, divergent, creative, and critical; and when to employ each type.  Student demonstrate awareness of their own strengths and weaknesses and will seek continual improvements. Student demonstrate both self and social awareness and management to effectively play various roles on an interdisciplinary team from leader to contributor to participant (role fluidity). These skills are essential for all leadership and management roles.

Value Creation: Students identify, create, shape, and capture value through understanding economic models and the reality of industry disruption cycles.

Fall SemesterCourse NameCreditsSpring SemesterCourse NameCredits
Freshman Year
CPTR1100Computer Programming I3DATA2001Data Science Tools and Techniques3
CORE1001Managing Transitions: Change as a Norm3MATH2302Calculus II3
ECON1200Global Economics: Micro and Macro Perspectives 3CORE-ENGLThe New Normal: Exploring Unstructured Problems3
MATH2202Calculus I3MKTG2004Marketing I - Creating Marketing, Branding and Sales Strategies3
MGMT1000Introduction to Business Models3CPTR1400Programming II3
1515
Sophomore Year
PSYC1001Introduction to Psychology3INFO2500Data Visualization3
CPTR2350Data Structures and Algorithms3CPTR2400Database Management3
MKTG3004Marketing II - Analyzing Marketing, Branding and Sales Strategies3MGMT2900Business Career Exploration3
CORE3100Developing an Entrepreneurial Mindset3ENGL1003Writing about Literature3
MATH3205Statistical Methods for Data Analysis3Science Elective with Lab4
1516
Junior Year
MGMT3700Business Decision Making: Law, Ethics and Strategies3CPTR3400Data Warehousing3
ACCT2100Accounting and Finance I - Concepts and Tools3ACCT3100Accounting and Finance II - Financial Decision Making3
MATH3200Multivariate Statistics3MATH3305Linear Algebra3
CPTR3450Data Warehouse & Data Mining with AI3CPTR4100Machine Learning3
General Education Elective3INFO3901Data Science Practicum3
1515
Senior Year
MGMT4101Capstone I (Business Policy)3MGMT4102Capstone II (Business Elective 3000+)3
INFO4200Predictive Analysis3PHIL3001Ethics3
MGMT4003Developing Business Leadership (MGMT4195)3Humanities and Fine Arts Elective3
Open Elective3General Education Elective3
Humanities and Fine Arts Elective3Open Elective3
1515
Total Credits:121