Data Science BS with a Business option (67-68 credits)

The Data Science BS with a Business option provides students fundamental training for the field of Data Science while allowing students to focus their data science training on applications related to Business. If you have questions about the degree program or need advising, please email data.science.advising@ucdenver.edu with your inquiry.  

 The course requirements below summarize the data science-related course requirements but do not describe broader university or college degree requirements. Additional program requirements related to GPA, minimum grades, credit hours, restrictions, etc. are provided in the university catalog description of the Data Science BS.

 

Course Requirements

 

Required courses 

 

MATH 1401: Calculus I 

MATH 2411: Calculus II 

MATH 2421: Calculus III 

MATH 3376: Data Wrangling & Visualization 

MATH 3382: Statistical Theory 

MATH 3810: Introduction to Probability 

MATH 4387: Applied Regression Analysis 

MATH 4388: Machine Learning Methods 

CSCI 1410: Fundamentals of Computing and CSCI 1411: Fundamentals of Computing Laboratory 

BMIN 1000: Introduction to Business 

ISMG 2050: Business Problem Solving Tools 

ISMG 3500: Business Data and Database Management 

ISMG 3110: Data Governance and Ethics 

 

Choose one: 

  • CSCI 2980: Foundations of Data Science 
  • MATH 2830: Introductory Statistics 

 

Choose one: 

  • MATH 3191: Applied Linear Algebra 
  • MATH 3195: Linear Algebra and Differential Equations 

 

Choose one path: 

  • UNIV 1110: College Success and BUSN 2110: Cultivating Emotional Intelligence and BUSN 3110: Career and Professional Development 
  • BMIN 2200: Career and Professional Development 

     

Choose one: 

  • BANA 4110: Business Analytics Processes 
  • BANA 4120: Forecasting Techniques 
  • BANA 6610: Statistics for Business Analytics 
  • BANA 6620: Computing for Business Analytics 
  • BANA 6670: Prescriptive Analytics with Optimization 
  • BANA 6710: Causal Analysis 
  • BANA 6770: Evaluative Analytics

 

Choose one: 

  • MATH 4779: Math Clinic 
  • MATH 3939: Internship* 
  • MATH 4840: Independent Study* 
  • ISMG 3939: Internship* 
  • ISMG 4840: Independent Study* 
  • CSCI 4840: Independent Study* 
  • CSCI 4939: Internship* 

     

*Requires the approval of the Director of Data Science and an advisor for the course. CSCI 4840 or 4939 will only be approved for the Computer Science option. Must be taken for 3 credit hours. 

 

Business option electives

 

Choose nine additional credits not previously taken from the list below.

 

  • BANA 4110 Business Analytics Processes
  • BANA 4120 Forecasting Techniques
  • BANA 6600 Transformative Technologies Impacting Globalization
  • BANA 6610 Statistics for Business Analytics
  • BANA 6620 Computing for Business Analytics
  • BANA 6630 Time-Series Forecasting
  • BANA 6640 Decision Analysis
  • BANA 6650 Project Management
  • BANA 6660 Predictive Analytics
  • BANA 6670 Prescriptive Analytics with Optimization
  • BANA 6710 Causal Analysis
  • BANA 6730 Supply Chain Analytics
  • BANA 6760 Data Visualization
  • BANA 6770 Evaluative Analytics
  • BANA 6780 AI for Business
  • BANA 6800 Special Topics
  • CMDT 4782 Commodity Data Analysis
  • ISMG 3000 Technology in Business
  • ISMG 3600 System Strategy, Architecture and Design
  • ISMG 4300 Information Systems Security and Privacy
  • ISMG 4750 Business Intelligence in Finance
  • ISMG 4900 Project Management and Practice
  • ISMG 6080 Database Management Systems
  • ISMG 6470 Text Data Analytics
  • MKTG 3100 Marketing Research
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