B.S. in Data Analytics and Intelligence for Social Impact < University of Miami
Skip to Content
AZ Index
Catalog Home
Institution Home
Apply
About
Give to UM
Schools
School of Architecture
College of Arts & Sciences
School of Business Administration
School of Communication
School of Education & Human Development
College of Engineering
School of Law
Rosenstiel School of Marine & Atmospheric Science
Miller School of Medicine
Frost School of Music
School of Nursing & Health Studies
The Graduate School
Division of Continuing & International Education
Alumni
About
Give to UM
Schools
Alumni
Academics
Admissions
Student Life
Research
UHealth
Athletics
Tools
Registrar's Office
Modular Building A
1307 Stanford Drive
Coral Gables, FL 33124
305-284-2211
Visit Website
Toggle Drawer
About
Services
Resources
Contact
Undergraduate Academic Programs
Education and Human Development
Educational and Psychological Studies
B.S. in Data Analytics and Intelligence for Social Impact
Print Options
B.S. in Data Analytics and Intelligence for Social Impact
Bulletin Navigation
General University Information
Undergraduate Academic Programs
Architecture
Arts and Sciences
Business
Communication
Continuing and International Education
Education and Human Development
Educational and Psychological Studies
B.S. in Data Analytics and Intelligence for Social Impact
B.S.Ed. in Community and Applied Psychological Studies
Minor in Community and Applied Psychological Studies
Minor in Counseling
Kinesiology and Sport Sciences
Teaching and Learning
Engineering
Marine, Atmospheric, and Earth Science
Music
Nursing and Health Studies
Graduate Academic Programs
Law Academic Programs
Graduate Student Handbook for UOnline Students
Special Programs
Program Index
Course Listing
Previous Bulletin Archives
Overview
The
Bachelor of Science in Data Analytics and Intelligence for Social Impact
(DAISI) is designed to produce decision-makers who can collect, analyze, and use data to generate insight that increases social impact. It is a
collaborative, interdisciplinary, and customizable
program that will equip UM graduates with the technical capabilities of data intelligence and analytics, critical thinking skills, and a strong theoretical foundation in education and social sciences such as sociology, psychology, geology, communication. As communities require solutions that address the complexities of the challenges they encounter, and organizations, especially non-profits, drive to be more impactful, this integrated approach will offer students the knowledge and skill sets to not only learn how to collect,  measure, and report data, but more importantly, they will be able to contextualize the data, detect potential areas for bias, and derive insights that result in more responsible data-driven information and decision-making.
In a collaboration with various departments at UM, students will learn key analytic skills (i.e., data collection, data cleaning, data management, and data analysis) and tools (i.e., Excel, Tableau, R/SAS/Python programming, and machine learning) that are required for collecting, managing, and analyzing data and persuasively communicating insights that address real-world challenges.   In addition to the required courses, students will have the flexibility to customize their studies with a selection of courses drawn from various disciplines. This integrated approach provides students with an opportunity to apply substantive knowledge and skills to a discipline based on their areas of interest and professional goals. The experience culminates in field experiences and practicums which allow students to collaborate with community partners, and critically apply theories, methodologies, and knowledge relevant for more responsible data-driven information and decision-making. This program is ideal for students, who would like to make a definitive, long-lasting social impact that is equally beneficial for all individuals and communities based on more representative and unbiased data as it is applied in various fields such as health services, education, and community development, and public affairs.
Curriculum Requirements
Course List
Code
Title
Credit Hours
MAJOR REQUIREMENTS (21 courses)
Foundation: Core Courses (9 courses)
EPS 291
Community and Character Development
EPS 361
Community Psychology and Development
EPS 371
Applied Social Research Methods
EPS 251
Developing Data Wrangling Skills for Social, Behavioral, and Educational Data (Excel/Tableau (or equivalencies))
EPS 351
Intro to Statistics for the Social, Behavioral, and Educational Sciences
CIM 203
Intro to Creative Coding
CSC 115
Python Programming for Everyone
JMM 331
Introduction to Infographics and Data Visualization
COS 211
Public Speaking
Diversity (Choose minimum 1 course)
EPS 412
Migration, Well Being, and Human Development
EPS 430
Creating Belonging Through Dialogue
TAL 205
Contemporary Issues in Disability and Society
Practicum (2 courses)
EPS 578
Community and Applied Psychological Studies Practicum
EPS 579
Community and Applied Psychological Studies Practicum Seminar
Advanced Courses (9 courses)
EPS 462
Community Consultation and Leadership
EPS 401
Applied Regression in the Social and Behavioral Sciences
EPS 372
Survey Methodology for the Social and Behavioral Sciences (Survey research)
EPS 402
Statistical Programming: R, Python, and SQL for Social and Behavioral Data
EPS 403
Applied Machine Learning in the Social and Behavioral Sciences
EPS 452
Community Program Development and Evaluation
EPS 405
Text Mining for the Social and Behavioral Sciences (Text/Sentiment Analysis)
GEG 310
Geographic Information Systems I
GEG 305
Spatial Data Analysis I
ELECTIVES (7 courses) Consultation with Academic Advisor
21
SPECIAL ELECTIVES (Choose minimum 3 courses) Consultation with Academic Advisor
GENERAL EDUCATION REQUIREMENTS
Written Communication Skills
WRS 105
First-Year Writing I
WRS 106
First-Year Writing II
or
ENG 106
Writing About Literature and Culture
or
WRS 107
First-Year Writing II: STEM
Quantitative Skills:
MTH 108
Precalculus Mathematics II
Areas of Knowledge:
Arts & Humanities Cognate (3 courses)
People and Society Cognate (3 courses)
STEM Cognate (fulfilled through the major)
Total Credit Hours
120
** Every student majoring in Data Analytics and Intelligence for Social Impact will complete the Advanced Writing and Communication Requirement upon fulfillment of their major courses. These courses have a prerequisite requirement of WRS105 and WRS106/WRS107/ENG106 and will be identified as either writing intensive or as an oral/verbal communication proficiency course or both. Competency in both written and oral communication will also be assessed. Writing intensive courses require a minimum of 2500 written words; assignments will be assessed for analytical ability, synthesis of information, grammar, content, and style. Courses designated as oral/verbal proficiency classes will provide students an opportunity to demonstrate their presentation skills using accurate, standard English structure and syntax, non-verbal cues and gestures, as well as audience-appropriate language. Courses in Data Analytics and Intelligence for Social Impact, which meet the Advanced Writing and Communication Requirements are EPS371, EPS401, and EPS579.
Students in EPS371 are required to demonstrate their competency in both written and oral communication skills by completing a research-intensive paper that summarizes 1) research problems, the population of interests, and the goals/objectives of the project; 2) a literature review of theoretical and empirical backgrounds relevant to the context and research design; and 3) detailed description of the research design, data collection, and data analysis plan.  Students in EPS401 are required to demonstrate their competency in both written and oral communication skills by completing a research-intensive paper that (1) describes data collection and analysis procedures, (2) summarizes findings from the data both numerically and visually, and (3) provides the implication of their findings relevant to all potential stakeholders.
Students' research papers in those oral/verbal proficiency classes should be in a format for
publication
must follow the style and formatting guidance [e.g., APA, MLA]
).  Also, peer-, self-, and faculty evaluations of the oral paper presentations will be used to assess students' verbal and non-verbal communication skills.
Sample special electives 1 – Data Analytics and Intelligence for Social Impacts
EPS 311
Group Processes and Development
: Fall & Spring
EPS 365
Psychological Study of Children, Families, and the Law
, Fall
GSS 315
Gender, Race, and Class
, Fall
SOC 487
Race, Ethnicity, and Criminal Justice
, Fall & Spring
BPH 305
Issues in Health Disparities
Spring
MSC 220
Climate and Global Change
Fall & Spring
CIM 563
Design with AI
GEG 410
Geographic Information Systems II
Sample special electives 2 – Data Intelligence and Analytics for Environmental Justice
ECS 113
Introduction to Environmental Policy
, Fall & Spring
ECS 302
Perspectives on Environmental Decision Making
, Fall & Spring
ECS 371
Readings in Ecosystem Science and Policy
, Fall, Spring & Summer
ECS 204
Environmental Statistics
, Fall & Spring
MSC 342
Decision Making and the Environment
, Spring
MSC 220
Climate and Global Change
, Fall & Spring
CIM 563
Design with AI
GEG 410
Geographic Information Systems II
Sample special electives 3 - Data Intelligence and Analytics for Public Health
GHS 201
Introduction to Global Health
SOC 321
Applied Health Policy
INS 201
Globalization and Change in World Politics
INS 509
International Migration and the Health Care System
GHS 330
Topics in Global Health Studies: Humanities
COS 324
Health Communication
Fall & Spring
BPH 305
Issues in Health Disparities
Spring
HCS 465
Public Health Statistics and Data Management
, Fall
CIM 563
Design with AI
GEG 410
Geographic Information Systems II
Sample special electives 4 - Data Intelligence and Analytics for Criminal Justice
SOC 101
Introduction to Sociology
, Fall, Spring, & Summer
SOC 271
Criminal Justice
, Fall, Spring, & Summer
SOC 371
Criminology
, Fall & Spring
SOC 487
Race, Ethnicity, and Criminal Justice
Fall & Spring
GSS 315
Gender, Race, and Class
, Fall
EPS 365
Psychological Study of Children, Families, and the Law
, Fall
CIM 563
Design with AI
GEG 410
Geographic Information Systems II
Suggested Plan of Study
B.S. Data Analytics and Intelligence for Social Impacts
Plan of Study Grid
Freshman Year
Fall
Credit Hours
WRS 105
First-Year Writing I
MTH 108
Precalculus Mathematics II
EPS 251
Developing Data Wrangling Skills for Social, Behavioral, and Educational Data (
Excel
EPS 291
Community and Character Development
COS 211
Public Speaking
Credit Hours
15
Spring
WRS 106
107
or
ENG 106
First-Year Writing II
or First-Year Writing II: STEM
or Writing About Literature and Culture
EPS 351
Intro to Statistics for the Social, Behavioral, and Educational Sciences
EPS 371
Applied Social Research Methods
EPS 430
Creating Belonging Through Dialogue
CSC 115
Python Programming for Everyone
Credit Hours
15
Sophomore Year
Fall
CIM 106
Introduction to Virtual Reality
CIM 203
Intro to Creative Coding
EPS 372
Survey Methodology for the Social and Behavioral Sciences
EPS 401
Applied Regression in the Social and Behavioral Sciences
Arts & Humanities Cognate/Elective
Credit Hours
15
Spring
EPS 361
Community Psychology and Development
EPS 402
Statistical Programming: R, Python, and SQL for Social and Behavioral Data
CIM 423
Building Virtual Worlds
JMM 331
Introduction to Infographics and Data Visualization
People & Society Cognate
Credit Hours
15
Junior Year
Fall
GEG 305
Spatial Data Analysis I
CIM 433
Augmented Reality
EPS 462
Community Consultation and Leadership
DAISI Elective
People & Society Cognate
Credit Hours
15
Spring
EPS 405
Text Mining for the Social and Behavioral Sciences
EPS 452
Community Program Development and Evaluation
Arts & Humanities Cognate
DAISI Elective
People & Society Cognate
Credit Hours
15
Senior Year
Fall
GEG 310
Geographic Information Systems I
EPS 403
Applied Machine Learning in the Social and Behavioral Sciences
DAISI Elective
DAISI Elective
Arts & Humanities Cognate
Credit Hours
15
Spring
EPS 578
Community and Applied Psychological Studies Practicum
EPS 579
Community and Applied Psychological Studies Practicum Seminar
DAISI Elective
DAISI Elective
DAISI Elective
Credit Hours
15
Total Credit Hours
120
Program Mission
It is the mission of the Data Analytics and Intelligence for Social Impact (DAISI) program to generate socially responsible change agents, who are empowered with the knowledge, skills, and attitudes to draw unbiassed and equitable data-driven information for policies and practices that promote social, cultural, economic, structural, political, and environmental justice.  We strive to produce undergraduates who generate, collect, assess, and analyze trustworthy and reliable data, and can persuasively communicate data-driven insights that increase social impact. With a strong theoretical and methodological foundation for understanding and catalyzing social change; mastering analytic skills and tools required for data intelligence and data analytics in each stage of the data lifecycle, the training in visualization and communication, UM undergraduates will be able to critically assess and understand the deep-rooted complexities of real-world social challenges, systematically tackle the social, cultural, economic, and structural disparities, and contribute to increasing social impact.
Program Goals
The BS in Data Intelligence and Analytics for Social Impact (DAISI) will create an interdisciplinary and collaborative learning environment that teaches students how to critically apply theories, knowledge, skills, and attitudes that will draw data-driven decisions for unbiased, representative, inclusive, and equitable practices and policies based on trustworthy and reliable data and its use. The program promotes an understanding of the social, cultural, economic, political, and structural issues, the value of data-driven decision-making processes and community engagements, and the importance of social responsibility and active participation in civic life.
Student Learning Outcomes
Students will be able to recognize and analyze issues around social, cultural, economic, political, and structural biases and inequities.
Students will be able to understand the application of theories, methodologies, and knowledge relevant to social change and their use in practice.
Students will be able to combine multiple perspectives including social, computational, statistical, and
Students will be able to  understand the application of data analytic skills and apply tools required in each stage of the data lifecycle to handle real-life social challenges.
Students will be able to critically evaluate tools and apply appropriate techniques to the solution of real-world complex problems, communicate findings, and effectively present results using data visualization techniques.
Students will be able to recognize and analyze ethical dilemmas related to data collection, data security, integrity, and privacy and apply ethical practices and make well-reasoned ethical decisions.
Students will be able to  demonstrate the use of teamwork, collaboration, leadership skills, decision-making, and communication.
Students will be able to engage in socially responsible and ethical decision-making processes based on trustworthy and reliable data for policies and practices.
Students will be able to collaborate with community partners and stakeholders to identify and address social, cultural, economic, political, and structural biases and inequities in the field of student's interests and professional goals.
Office of the University Registrar
1306 Stanford Drive
The University Center Room 1230
Coral Gables, FL 33146
univregistrar@miami.edu
Visit
Campus Map
Parking & Transportation
Connect
RSS
Copyright 2025-2026 University of Miami. All Right Reserved.
Emergency Information
Privacy Statement & Legal Notices
Print Options
Send Page to Printer
Print this page.
Download Page (PDF)
The PDF will include all information unique to this page.
Full Academic Catalog
PDF of the entire 2025-2026 Academic Catalog.
Cancel