There is data all around us. Businesses are looking to hire people who can manage that data, analyze it, and use it for more effective decision making. The Bachelor of Science in Data Analytics (BSDA) is designed for you to learn those skills 

The Bachelor of Science in Data Analytics is a special degree program that includes courses from the College of Letters & Science, the College of Community Engagement & Professions, the Lubar College of Business, and the College of Engineering & Applied Science to provide a solid general education as well as an interdisciplinary approach to data analytics.

The BS in Data Analytics at UWM is unique because its goal is to train students to practice data analytics in a field they are most passionate about. If you enroll in this program, you will take foundational classes to build core data analytics skills, then specialize in data analytics for business, health, information science, natural sciences, social sciences, or geographic information sciences.  

The career prospects for individuals with data analytics degrees are very positive. Data analytics skills are being used not only in industries that are obviously oriented toward using data, like information technology, sciences and business, but also in fields that more recently have begun to take full advantage of their data resources, like agriculture, atmospheric sciences, environmental sciences, geography, and healthcare   


The B.S. in Data Analytics requires 33 credits in General Education courses, 16 credits in Foundation courses, 33 credits in Core courses, 24 credits in a Specialization, and electives to reach a total of 120 credits.

General Education Competency and Breadth Courses

Oral and Written Communication Part A
Grade of C or better in ENGLISH 102 or equivalent3
Oral and Written Communication Part B
ENGLISH 205Business Writing3
Quantitative Literacy Part A
Grade of C or better in one of the following:3
Introduction to College Algebra
Algebraic Literacy II
Equivalent course
Quantitative Literacy Part B
Choose one of the following:3
Quantitative Models for Business
Survey in Calculus and Analytic Geometry I
Calculus with Life Sciences Applications
Honors Calculus I
Calculus and Analytic Geometry I
Breadth Courses
Arts GER course3
Cultural Diversity GER course3
Humanities GER courses6
Natural Science GER courses (including one lab or field experience)6
Social Science GER courses6
Language other than English (two semesters or equivalent)0-10
Total Credits36

Foundation Courses

Matrices and Applications
Survey in Calculus and Analytic Geometry II (4 credits)
Choose one of the following (3 credits)
Statistical Modeling in Business Analytics
Business Scholars: Statistical Modeling in Business Analytics
Economic Statistics
Elementary Statistical Analysis
Computer Literacy 1 13
Choose one of the following (3 credits)
Introduction to Information Technology Management
Computational Tools for Healthcare Professionals
Survey of Computer Science
Computer Literacy 2 13
Choose one of the following (3 credits)
Introductory Programming Using Python
Introduction to Engineering Programming
Introductory Computer Programming
Introduction to Application Development
Total Credits16

Computer Literacy 1 and 2 can be satisfied by COMPSCI 250 and COMPSCI 251.

Core Courses

Programming Languages6
Choose two of the following (6 credits)
Introduction to Business Application Development
Object-Oriented Systems Development
Introduction to Application Development (Cannot be used in this category if it was used to satisfy the ‘Computer Literacy 2’ requirement)
Web Application Development
Introduction to Programming and Modeling in Ecology and Evolution
Data Structures and Algorithms
Introduction to Statistical Computing and Data Science
Choose one of the following (3 credits)
Data Base Management Systems
Database Information Retrieval Systems
Health Information Technology and Management
Introduction to Database Systems
Analytics and Big Data/Data Mining 6
Choose two of the following (6 credits)
Enterprise Systems and Data Analytics
Business Intelligence
Introduction to Data Science
Data Analysis for Data Science
Special Topics in Information Science: ('Computer Forensics' is eligible. Other topics offered in a specific offering of this course must be approved for the degree by the Director of the Program.)
Data Analytics
Machine Learning and Applications
Introduction to Artificial Intelligence
Introduction to Data Mining
Economic Forecasting Methods
Introduction to Geographic Information Science
Geographic Information Science (4 credits)
Choose one of the following (3 credits)
Information Technology Management Topics:
Data Analysis and Visualization for the Information Professional
Cartography (4 credits)
Statistics 6
Choose two of the following (6 credits)
Introduction to Mathematical Statistics I
Introduction to Mathematical Statistics II
Statistical Methods in Atmospheric Sciences
Statistics for Economists
Introduction to Econometrics
Communication 3
Writing, Speaking, and Technoscience in the 21st Century
Choose one of the following (3 credits)
Privacy and Information Security for Business
Information Ethics
Law and Ethics for Healthcare Professionals
Social, Professional, and Ethical Issues
Technology, Values, and Society
Data, Technology, and Society
Choose one of the following (3 credits)
Real Estate Internship
Human Resources Management Internship
Finance Internship
Marketing Internship
Supply Chain & Operations Management Internship
Accounting Professional Internship
Information Technology Management Professional Internship
Finance Professional Internship
Marketing Professional Internship
Supply Chain & Operations Management Professional Internship
International Business Internship
Information Technology Practicum
Management Analysis
Nonprofit Information Technology
Senior Capstone
Information Internship
Capstone Project
Internship in Economics, Upper Division
Internship in Mathematical Statistics, Upper Division
Capstone Experience (1 credit)
Perspectives on Geography
GIS/Cartography Internship
Total Credits33

Electives in Different Specializations (24 credits in each specialization)

Select any 24 credits; Sub-specializations are listed so students may focus their coursework.
Web Development for Open Business Systems
Introduction to Connected Systems for Business
Business Intelligence
Enterprise Systems Concepts and Issues
Web Application Server Development
ERP Certification
Supply Chain
Introduction to Supply Chain Management
Systems Analysis and Design
Supply Chain Analytics
Quality and Six Sigma Tools
Principles of Marketing
Marketing Research
Principles of Finance
Intermediate Finance
Investment Finance
Financial Modeling
Venture Finance
Recommended 2
Career and Professional Development (1 credit)
Information Science and Technology24
Web Design I
Knowledge Organization for Information Science and Technology
Web Design II
Information Security I
Introduction to Systems Analysis
Introduction to Application Development (If not used already as part of the Foundations requirement)
Multimedia Web Design
Native Mobile Applications
Multimedia Application Development
Legal Aspects of Information Products and Services
Advanced Topics in Information Science & Technology: 3
Survey of Information Security
Survey of Web and Mobile Content Development
Ethical Hacking I
Special Topics in Information Science: 3
This specialization will require 3-6 credits from a different specialization as approved by the Program Director.
Epidemiology for the Health Sciences
Introduction to Text Retrieval and Its Applications in Biomedicine
Healthcare Information Systems Analysis and Design
Healthcare Database Design and Management
Public Health Research Methods I
True Lies: Consuming and Communicating Quantitative Information
Public Health Research Methods II
Recommend one of the following: 2
Language of Medicine
Introduction to Diagnostic Medicine
Health and Illness Concepts 1: Introduction
Natural Sciences24
Genomic Data Analysis (2 credits)
Quantitative Freshwater Analysis
Analytical Techniques in Freshwater Sciences
Sequence Analysis
Regression Analysis
Time Series Analysis
Multivariate Statistical Analysis
Introduction to Probability Models
Investment Mathematics I (4 credits)
Investment Mathematics II
Actuarial Models I
Actuarial Models II
Actuarial Statistics I
Actuarial Statistics II
Social Sciences24
Choose at most one of the following methods courses:
Methods of Social Welfare Research
Introduction to Political Science Research
Research Methods in Psychology (4 credits)
Research Methods in African & African Diaspora Studies
Research Methods in Sociology
Choose at most one of the following multiple regression courses
Research Methods for Economics
Experimental Design
Social Data Analysis Using Regression
And, take courses from the list below to complete 24 credits.
Introduction to Crime Analysis
Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS
Introduction to Geographic Information Science
Geographic Information Science (4 credits)
Spatial Analysis (4 credits)
Political Data Analysis
Survey Research
Advanced Psychological Statistics
Social Networks
Geographic Information Science24
Remote Sensing: Environmental and Land Use Analysis (4 credits)
Qualitative Methods in Geography
Spatial Analysis (4 credits)
Watershed Analysis and Modeling
Intermediate Geographic Information Science (4 credits)
Introduction to Urban Geographic Information Systems (GIS) in Planning
Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS

Recommended courses do not count toward the specialization unless approved by the Director. They are merely recommended additional courses. 


Specific topics courses need to be approved for the degree by the Program Director. A topic course cannot be used again if applied to a prior degree requirement category.

General Electives

With the help of their academic advisor, students will select electives to complete the 120 total credits required for the degree. Electives are tailored to each student’s interests and career goals.

Second Degree

A student wishing to complete a second degree in BSDA will need to complete all 33 credits of the Core Courses. They must complete the Foundations courses to be eligible for this degree. They are not required to complete the Electives with specialization, as their first major may fulfill that role in the degree.

College of Community Engagement and Professions Dean's Honor List

GPA of 3.750 or above, earned on a full-time student's GPA on 12 or more graded credits in a given semester.

Honors College Degree and Honors College Degree with Distinction

Granted to graduating seniors who complete Honors College requirements, as listed in the Honors College section of this site.

Commencement Honors

Students with a cumulative GPA of 3.500 or above, based on a minimum of 40 graded UWM credits earned prior to the final semester, will receive all-university commencement honors and be awarded the traditional gold cord at the December or May Honors Convocation. Please note that for honors calculation, the GPA is not rounded and is truncated at the third decimal (e.g., 3.499).

Final Honors

Earned on a minimum of 60 graded UWM credits: Cum Laude - 3.500 or above; Magna Cum Laude - 3.650 or above; Summa Cum Laude - 3.800 or above.