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.
Requirements
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
| Code | Title | Credits |
|---|---|---|
| Oral and Written Communication Part A | ||
| Grade of C or better in ENGLISH 102 or equivalent | 3 | |
| Oral and Written Communication Part B | ||
| ENGLISH 205 | Business Writing | 3 |
| 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 course | 3 | |
| Cultural Diversity GER course | 3 | |
| Humanities GER courses | 6 | |
| Natural Science GER courses (including one lab or field experience) | 6 | |
| Social Science GER courses | 6 | |
| Language other than English (two semesters or equivalent) | 0-10 | |
| Total Credits | 36 | |
Foundation Courses
| Code | Title | Credits |
|---|---|---|
| Mathemathics | 10 | |
| 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 1 | 3 | |
| Choose one of the following (3 credits) | ||
| Introduction to Information Technology Management | ||
| Computational Tools for Healthcare Professionals | ||
| Survey of Computer Science | ||
| Computer Literacy 2 1 | 3 | |
| Choose one of the following (3 credits) | ||
| Introductory Programming Using Python | ||
| Introduction to Engineering Programming | ||
| Introductory Computer Programming | ||
| Introduction to Application Development | ||
| Total Credits | 16 | |
- 1
Computer Literacy 1 and 2 can be satisfied by COMPSCI 250 and COMPSCI 251.
Core Courses
| Code | Title | Credits |
|---|---|---|
| Programming Languages | 6 | |
| 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 | ||
| Databases | 3 | |
| 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) | ||
| ERP Simulation and Data Analysis | ||
| 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) | ||
| Visualization | 3 | |
| 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 | ||
| Ethics | 3 | |
| 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 | ||
| Capstone/Fieldwork/Thesis | 3 | |
| 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 Credits | 33 | |
Electives in Different Specializations (24 credits in each specialization)
| Code | Title | Credits |
|---|---|---|
| Business | 24 | |
| 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 | ||
| ERP 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 | ||
Marketing | ||
| Principles of Marketing | ||
| Marketing Research | ||
Finance | ||
| Principles of Finance | ||
| Intermediate Finance | ||
| Investment Finance | ||
| Financial Modeling | ||
| Venture Finance | ||
Recommended 2 | ||
| Career and Professional Development (1 credit) | ||
| Information Science and Technology | 24 | |
| 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 | ||
| Health | 24 | |
| 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 Sciences | 24 | |
| 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 Sciences | 24 | |
| 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 Science | 24 | |
| 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 | ||
- 2
Recommended courses do not count toward the specialization unless approved by the Director. They are merely recommended additional courses.
- 3
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.