Program Overview

Data Analytics and Applied Artificial Intelligence, BS (College of Letters and Science)

The Bachelor of Science in Data Analytics and Applied Artificial Intelligence 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.

Overview

The program is designed to train students to practice data analytics in a field they are most passionate about. Students 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.

Requirements

The B.S. in Data Analytics and Applied Artificial Intelligence requires:

• 33 credits in General Education courses
• 16 credits in Foundation courses
• 33 credits in Core courses
• 24 credits in a Specialization
• 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.

General Education Competency and Breadth Courses

The following courses are required:

• Oral and Written Communication Part A: Grade of C or better in ENGLISH 102 or equivalent (3 credits)
• Oral and Written Communication Part B: ENGLISH 205 Business Writing (3 credits)
• Quantitative Literacy Part A: Grade of C or better in one of the following (3 credits)
  • MATH 105 Introduction to College Algebra
  • MATH 108 Algebraic Literacy II
  • Equivalent course
• Quantitative Literacy Part B: Choose one of the following (3 credits)
  • MATH 208 Quantitative Models for Business
  • MATH 211 Survey in Calculus and Analytic Geometry I
  • MATH 213 Calculus with Life Sciences Applications
  • MATH 221 Honors Calculus I
  • MATH 231 Calculus and Analytic Geometry I
• Breadth Courses:
  • Arts GER course (3 credits)
  • Cultural Diversity GER course (0-3 credits)
  • Humanities GER courses (6 credits)
  • Natural Science GER courses (including one lab or field experience) (6 credits)
  • Social Science GER courses (6 credits)
  • Language other than English (two semesters or equivalent) (0-10 credits)
• Total Credits: 33

Foundation Courses

The following courses are required:

• Mathematics:
  • MATH 212 Survey in Calculus and Analytic Geometry II (4 credits)
  • MATH 240 Matrices and Applications (3 credits)
• Statistics: Choose one of the following (3 credits)
  • BUS ADM 210 Statistical Modeling in Business Analytics
  • BUS ADM 211 Business Scholars: Statistical Modeling in Business Analytics
  • ECON 210 Economic Statistics
  • MTHSTAT 215 Elementary Statistical Analysis
• Computer Literacy 1: Choose one of the following (3 credits)
  • BUS ADM 230 Introduction to Information Technology Management
  • COMPSCI 150 Survey of Computer Science
  • HCA 224 Computational Tools for Healthcare Professionals
• Computer Literacy 2: Choose one of the following (3 credits)
  • COMPSCI 202 Introductory Programming Using Python
  • COMPSCI 240 Introduction to Engineering Programming
  • COMPSCI 250 Introductory Computer Programming
  • INFOST 350 Introduction to Application Development
• Total Credits: 16

Core Courses

The following courses are required:

• Programming Languages: Choose two of the following (6 credits)
  • BUS ADM 335 Introduction to Business Application Development
  • BUS ADM 432 Object-Oriented Systems Development
  • INFOST 350 Introduction to Application Development
  • INFOST 440 Web Application Development
  • BIO SCI 502 Introduction to Programming and Modeling in Ecology and Evolution
  • COMPSCI 351 Data Structures and Algorithms
  • MTHSTAT 216 Introduction to Statistical Computing and Data Science
• Databases: Choose one of the following (3 credits)
  • BUS ADM 434 Data Base Management Systems
  • INFOST 410 Database Information Retrieval Systems
  • HI 537 Health Information Technology and Management
  • COMPSCI 557 Introduction to Database Systems
• Analytics and Artificial Intelligence: Choose two of the following (6 credits)
  • BUS ADM 336 ERP Simulation and Data Analysis
  • BUS ADM 431 Introduction to Machine Learning for Business
  • BUS ADM 435 Introduction to Artificial Intelligence for Business
  • BUS ADM 437 Introduction to Social Media Analytics for Business
  • BUS ADM 536 Business Intelligence
  • INFOST 582 Introduction to Data Science
  • INFOST 687 Data Analysis for Data Science
  • INFOST 691 Special Topics in Information Science
  • ATM SCI 600 Data Analytics
  • COMPSCI 411 Machine Learning and Applications
  • COMPSCI 422 Introduction to Artificial Intelligence
  • COMPSCI 425 Introduction to Data Mining
  • ECON 411 Economic Forecasting Methods
  • GEOG 215 Introduction to Geographic Information Science
  • GEOG 525 Geographic Information Science
• Visualization: Choose one of the following (3 credits)
  • BUS ADM 438 Information Technology Management Topics
  • INFOST 370 Data Analysis and Visualization for the Information Professional
  • GEOG 405 Cartography
• Statistics: Choose two of the following (6 credits)
  • MTHSTAT 361 Introduction to Mathematical Statistics I
  • MTHSTAT 362 Introduction to Mathematical Statistics II
  • ATM SCI 500 Statistical Methods in Atmospheric Sciences
  • ECON 413 Statistics for Economists
  • ECON 513 Introduction to Econometrics
• Communication:
  • ENGLISH 310 Writing, Speaking, and Technoscience in the 21st Century (3 credits)
• Ethics: Choose one of the following (3 credits)
  • BUS ADM 530 Privacy and Information Security for Business
  • INFOST 661 Information Ethics
  • COMPSCI 395 Social, Professional, and Ethical Issues
  • HCA 311 Law and Ethics for Healthcare Professionals
  • PHILOS 237 Technology, Values, and Society
  • SOCIOL 327 Data, Technology, and Society
• Capstone/Fieldwork/Thesis: Choose one of the following (3 credits)
  • BUS ADM 389 Real Estate Internship
  • BUS ADM 394 Human Resources Management Internship
  • BUS ADM 396 Finance Internship
  • BUS ADM 397 Marketing Internship
  • BUS ADM 398 Supply Chain & Operations Management Internship
  • BUS ADM 400 Accounting Professional Internship
  • BUS ADM 439 Information Technology Management Professional Internship
  • BUS ADM 459 Finance Professional Internship
  • BUS ADM 469 Marketing Professional Internship
  • BUS ADM 479 Supply Chain & Operations Management Professional Internship
  • BUS ADM 494 International Business Internship
  • BUS ADM 534 Information Technology Practicum
  • BUS ADM 600 Management Analysis
  • INFOST 408 Nonprofit Information Technology
  • INFOST 490 Senior Capstone
  • INFOST 495 Information Internship
  • COMPSCI 595 Capstone Project
  • ECON 489 Internship in Economics, Upper Division
  • MTHSTAT 489 Internship in Mathematical Statistics, Upper Division
  • MATH 599 Capstone Experience
  • GEOG 600 Perspectives on Geography
  • GEOG 698 GIS/Cartography Internship
• Total Credits: 33

Electives in Different Specializations (24 credits in each specialization)

The following specializations are available:

• Business: 24 credits
  • Select any 24 credits; sub-specializations are listed so students may focus their coursework.
• Information Science and Technology: 24 credits
  • INFOST 240 Web Design I
  • INFOST 315 Knowledge Organization for Information Science and Technology
  • INFOST 320 Web Design II
  • INFOST 325 Information Security I
  • INFOST 340 Introduction to Systems Analysis
  • INFOST 350 Introduction to Application Development
  • INFOST 375 Multimedia Web Design
  • INFOST 383 Native Mobile Applications
  • INFOST 430 Multimedia Application Development
  • INFOST 465 Legal Aspects of Information Products and Services
  • INFOST 491 Advanced Topics in Information Science & Technology
  • INFOST 583 Survey of Information Security
  • INFOST 584 Survey of Web and Mobile Content Development
  • INFOST 695 Ethical Hacking I
  • INFOST 691 Special Topics in Information Science
• Health: 24 credits
  • This specialization will require 3-6 credits from a different specialization as approved by the Program Director.
  • HCA 307 Epidemiology for the Health Sciences
  • HCA 444 Introduction to Text Retrieval and Its Applications in Biomedicine
  • HCA 541 Healthcare Information Systems Analysis and Design
  • HCA 542 Healthcare Database Design and Management
  • PH 355 Public Health Research Methods I
  • PH 410 True Lies: Consuming and Communicating Quantitative Information
  • PH 455 Public Health Research Methods II
• Natural Sciences: 24 credits
  • BIO SCI 469 Genomic Data Analysis
  • FRSHWTR 504 Quantitative Freshwater Analysis
  • FRSHWTR 514 Analytical Techniques in Freshwater Sciences
  • FRSHWTR 640 Sequence Analysis
  • MTHSTAT 563 Regression Analysis
  • MTHSTAT 564 Time Series Analysis
  • MTHSTAT 568 Multivariate Statistical Analysis
  • MATH 583 Introduction to Probability Models
  • ACTSCI 391 Investment Mathematics I
  • ACTSCI 591 Investment Mathematics II
  • ACTSCI 593 Actuarial Models I
  • ACTSCI 594 Actuarial Models II
  • ACTSCI 596 Actuarial Statistics I
  • ACTSCI 597 Actuarial Statistics II
• Social Sciences: 24 credits
  • Choose at most one of the following methods courses:
    • CRM JST 662 Methods of Social Welfare Research
    • POL SCI 203 Introduction to Political Science Research
    • PSYCH 325 Research Methods in Psychology
    • AFRIC 301 Research Methods in African & African Diaspora Studies
    • SOCIOL 361 Research Methods in Sociology
  • Choose at most one of the following multiple regression courses:
    • ECON 310 Introduction to Econometrics and Data Science
    • PSYCH 610 Experimental Design
    • SOCIOL 461 Social Data Analysis Using Regression
  • And, take courses from the list below to complete 24 credits:
    • CRM JST 510 Introduction to Crime Analysis
    • CRM JST 520 Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS
    • GEOG 215 Introduction to Geographic Information Science
    • GEOG 525 Geographic Information Science
    • GEOG 547 Spatial Analysis
    • POL SCI 390 Political Data Analysis
    • POL SCI 392 Survey Research
    • PSYCH 510 Advanced Psychological Statistics
    • SOCIOL 352 Social Networks
• Geographic Information Science: 24 credits
  • GEOG 403 Remote Sensing: Environmental and Land Use Analysis
  • GEOG 437 Qualitative Methods in Geography
  • GEOG 547 Spatial Analysis
  • GEOG 515 Watershed Analysis and Modeling
  • GEOG 625 Intermediate Geographic Information Science
  • URBPLAN 591 Introduction to Urban Geographic Information Systems (GIS) in Planning
  • CRM JST 520 Analysis Oriented Technology: Spatial Data Analysis; Crime Mapping; ArcGIS

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.

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.

College Advisors

College advisors are located in Holton Hall 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

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.

College of Letters and Science 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.

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.

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