Data Analytics & Applied Artificial Intelligence BS
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.
Program Type
Major
Program Format
On Campus
Why UWM?
With a BS in Data Analytics from UWM, you will train to practice in the field that you’re most passionate about. At UWM, students can tailor their program around six areas to prepare for a data career in that industry: health care, business, social sciences, natural sciences, information science, or geography. With a BS in Data Analytics, you will learn:
- The foundations of analysis – this involves calculus, statistics, data mining and computer programming.
- How to apply data to solving real-world problems.
- The communications skills critical for presenting data in a professional setting.
A well-trained data analyst serves as a bridge between the data and the users of the data, putting meaning and context to the data while also making sure data is used in an ethical manner.
Credit numbers reflect total possible credits towards degree. Due to the ability to count courses towards more than one requirement, credit amounts will vary. Please work with your academic advisor on your plan of study. Based on individual placement results, some students may be required to complete preparatory coursework before enrolling in the courses listed here. This may include English language or composition preparation, developmental math, introductory chemistry, and/or student support courses for students participating in the First Year Bridge program. UW-Milwaukee has General Education Requirements that must be met in order to earn a bachelor’s or associate degree. They include at minimum 30 credits (10 courses) in six categories that are designed to assure basic student competencies and provide a broad body of knowledge as a context for specialization. Some degree requirements may fulfill GERs. Please review the requirements and consult with your academic advisor. The B.S. in Data Analytics and Applied Artificial Intelligence requires 16 credits in Foundation courses, 33 credits in Core courses, 24 credits in a Specialization, and electives to reach a total of 120 credits. An average GPA of 2.000 on all coursework attempted at UWM is required for this degree. In addition, students must achieve an average 2.000 GPA on all coursework attempted, including transfer work. A minimum 2.000 GPA must be earned, on average, on 300-level and above courses taken to satisfy the advanced requirements, including transfer work. Students satisfy the residency requirement for the degree by completing at UWM both a minimum of 15 credits of the required advanced courses in the major (300 level and above) and a minimum one of 30 credits overall. Computer Literacy 1 and 2 can be satisfied by COMPSCI 250 and COMPSCI 251. 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. 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. 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. Requirements
Code
Title
Credits
General Education Requirements 30 Major Requirements 73 Electives 17 Total Credits 120 Preparatory Coursework
General Education Requirements (GER)
Code Title Credits General Education Categories and Credits Civics and Perspectives (CP) 6 Communication and Literacy (CL) 6 Humanities and Arts (HA) 6 Mathematics and Quantitative Reasoning (MQR) 3 Natural Science and Wellness (NSW/NSWL) 6 Social and Behavioral Science (SBS) 3 Total Credits 30 Major Requirements
Foundation Courses
Code Title Credits Mathematics MATH 212 Survey in Calculus and Analytic Geometry II 4 MATH 240 Matrices and Applications 3 Statistics Choose one of the following: 3 Statistical Modeling in Business Analytics Business Scholars: Statistical Modeling in Business Analytics Economic Statistics Elementary Statistical Analysis Computer Literacy 1 1 Choose one of the following: 3 Introduction to Information Technology Management Survey of Computer Science Computational Tools for Healthcare Professionals Computer Literacy 2 1 Choose one of the following: 3 Introductory Programming Using Python Introduction to Engineering Programming Introductory Computer Programming Introduction to Application Development Total Credits 16 Core Courses
Code Title Credits Programming Languages Choose two of the following: 6 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 (Cannot be double counted in both the Programming Languages and Statistics core categories) Databases Choose one of the following: 3 Data Base Management Systems Database Information Retrieval Systems Health Information Technology and Management Introduction to Database Systems Analytics and Artificial Intelligence Choose two of the following: 6 ERP Simulation and Data Analysis Introduction to Machine Learning for Business Introduction to Artificial Intelligence for Business Introduction to Social Media Analytics for Business 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 Choose one of the following: 3 Information Technology Management Topics: Data Analysis and Visualization for the Information Professional Cartography (4 credits) Statistics Choose two of the following: 6 Statistical Methods in Atmospheric Sciences Introduction to Econometrics and Data Science Economic Forecasting Methods Introduction to Statistical Computing and Data Science (Cannot be double counted in both the Programming Languages and Statistics core categories) Introduction to Mathematical Statistics I Introduction to Mathematical Statistics II Communication ENGLISH 310 Writing, Speaking, and Technoscience in the 21st Century 3 Ethics Choose one of the following: 3 Privacy and Information Security for Business Information Ethics Social, Professional, and Ethical Issues Law and Ethics for Healthcare Professionals Technology, Values, and Society Data, Technology, and Society Capstone/Fieldwork/Thesis Choose one of the following: 3 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 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 Career and Professional Development (1 credit) Information Science and Technology 24 Web Design I Generative AI Literacy 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 Legal Aspects of Information Products and Services Foundations of Artificial Intelligence in Information Science & Technology Advanced Topics in Information Science & Technology: 3 Survey of Information Security Survey of Web and Mobile Content Development Special Topics in Information Science: 3 Ethical Hacking I Ethical Hacking II 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 Public Health Research Methods I True Lies: Consuming and Communicating Quantitative Information Public Health Research Methods II Language of Medicine Foundations of Diagnostic Science: Exploring Health, Technology, and Ethics Health and Illness Concepts 1: Introduction Natural Sciences 24 Biostatistics Genomic Data Analysis (2 credits) Introduction to Environmental Data Systems Quantitative Freshwater Analysis Analytical Techniques in Freshwater Sciences Applied Water Statistics and Data Manipulation Sequence Analysis Data Preparation and Exploration Design of Experiments 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 & Data in Sociology Choose at most one of the following multiple regression courses: Introduction to Econometrics and Data Science 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 Data Driven Policing Strategies and Police Intelligence Introduction to Geographic Information Science Geographic Information Science (4 credits) Spatial Analysis (4 credits) Political Data Analysis Survey Research Cyberpolitics Data Science for Psychology Advanced Psychological Statistics Social Networks Geographic Information Science 24 Data Science and Environmental Applications 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 General Electives
Second Degree
Letters & Science Advising
During your time at UWM, you may have multiple members of your success team, including advisors, peer mentors and success coaches. Letters & Science students typically work with at least two different types of advisors as they pursue their degrees: professional college advisors and faculty advisors. L&S college advisors advise across your entire degree program while departmental faculty advisors focus on the major.
College advisors are located in Holton Hall (or virtually for online students) and serve as your primary advisor. They are your point person for your questions about navigating college and completing your degree. College advisors will:
- Assist you in defining your academic and life goals.
- Help you create an educational plan that is consistent with those goals.
- Assist you in understanding curriculum, major and degree requirements for graduation, as well as university policies and procedures.
- Provide you with information about campus and community resources and refer you to those resources as appropriate.
- Monitor your progress toward graduation and completion of requirements.
Faculty advisors mentor students in the major and assist them in maximizing their development in the program. You will begin working with a faculty advisor when you declare your major. Faculty advisors are an important partner and will:
- Help you understand major requirements and course offerings in the department.
- Explain opportunities for internships and undergraduate research and guide you in obtaining those experiences.
- Serve as an excellent resource as you consider potential graduate programs and career paths in your field.
Students are encouraged to meet with both their college advisor and faculty advisor at least once each semester. Appointments are available in-person, by phone or by video.
Currently enrolled students should use the Navigate360 website to make an appointment with your assigned advisor or call (414) 229-4654 if you do not currently have an assigned Letters & Science advisor. Prospective students who haven't enrolled in classes yet should call (414) 229-7711 or email let-sci@uwm.edu.
GPA of 3.500 or above, earned on a full-time student's GPA on 12 or more graded credits in a given semester. Granted to graduating seniors who complete Honors College requirements, as listed in the Honors College section of this site. 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). 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.College of Letters and Science Dean's Honor List
Honors College Degree and Honors College Degree with Distinction
Commencement Honors
Final Honors
The scholarship process for all students and all scholarships (major specific ones and all general scholarships) begins with UWM’s Panther Scholarship Portal.
The first time you log in, you will need to create your general application; this will stay on file for four years but you should update it regularly and must, at a minimum, sign it once per year to re-activate it. You will also need to upload a copy of your transcript twice a year. Log into the Panther Portal twice a year to update your application and upload a newer transcript – we recommend doing this in November/December and in February/March every year.
You may see scholarships on your Panther Scholarship Portal dashboard that you can “Apply To.” These are scholarships which require additional information beyond the general application and transcript. If you do not see “Apply To” you are still being considered as long as your general application and transcript are up-to-date.