Data Science

High Demand

Major, Minor or Concentration

Rize's Data Science program builds a strong foundation in data analytics before advancing to predictive modeling, machine learning, and AI applications. With a focus on technical skills and practical tools like Python and Large Language Models, the curriculum prepares students for careers in data-driven fields. The program’s streamlined design also allows room for liberal arts study, encouraging well-rounded graduates who can apply data insights across disciplines.

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Data Science

Courses

Courses & Curriculum

DAM 1 | Foundations of Data Analytics I

In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results.

DAM 2 | Foundations of Data Analytics II

DSM I - Data Science I

DSM II - Data Science II

This course takes a deep dive into machine learning models, natural language processing, and time series in Python. Students will build machine learning models that solve a range of different business problems, using both structured and unstructured data. Students will learn to create actionable and ethical predictions by balancing accuracy, usability, and interpretability, and bias in model selection, design, training, and inference

DSM III - AI and Machine Learning

DSM IV - Practicum

DSM V - Career Navigation and Exploration in Data Science

This course will help you find a job in Data Science upon graduation. Not just any job; one that excites you and meets your financial needs. In this course, you will explore career paths in Data Science, potential salary outcomes, and the skills you need to understand whether these salary outcomes will support you. This exploration will lead you to identify target jobs and opportunities. You will then plan the steps you need to take to achieve your goals and begin executing that plan.

Rize programs leverage the courses you already have

Our Partnerships Team works closely with you to create a customized program that integrates your existing courses. A potential Project Management major could look like:

Example courses from your institution

Calculus I
Statistics
Probability
Ethics
Business Analytics
CS Programming Core (Rize Course Available)

Courses
from Rize

Foundations of Data Analytics I
Foundations of Data Analytics II
Data Science I
Data Science II
AI and Machine Learning
Data Science Practicum

Student Outcomes

Learning Outcomes

Apply action-oriented analysis for a given data problem in order to make their analytics as valuable as possible.
Use probabilistic thinking to inform decision making.
Build machine learning models that solve a range of different business problems, using both structured and unstructured data.
Create actionable predictions by balancing accuracy, usability, and interpretability in model selection and design.
Build responsive AI systems that can respond to a range of inputs, with specialized domain expertise, while assessing the potential risks in implementation and deployment.
Stay up-to-date on emerging technologies, techniques, and AI trends by practically implementing new tools and solutions.
Construct robust predictive models using advanced machine learning algorithms and critically evaluate their performance to ensure reliability and validity in addressing real-world data challenges.
Synthesize and communicate complex data insights clearly and persuasively to a diverse range of stakeholders, demonstrating the ability to transform technical data analysis into strategic business recommendations.
Identify career opportunities through frameworks that evaluate fulfillment and financial health.

Certifications

Skills

Data Manipulation and Visualization
Probabilistic Thinking and Decision Making
Python Programming for Data Science
Machine Learning Model Development
Predictive Modeling with Structured and Unstructured Data
Building and Evaluating AI Systems; including Large Language Models
Balancing Model Accuracy; Usability; and Interpretability
Communicating Complex Data Insights to Stakeholders
Staying Current with Emerging Data Science and AI Technologies
Capstone and Practicum Project Experience

Testimonials

Students give these courses rave reviews

"Rize courses have really helped me fall in love even more with my future profession that I want to go down."

Sean G.

Adrian College

“The class experience is amazing!”

Mary D.

University of Mary Hardin-Baylor

“Throughout the class time in Rize, the teacher is going over exactly what we need to do… he gave us the freedom to think creatively, to do our own project and it helped us do what he was teaching us to do on our own.”

Cole B.

Walsh University

“Rize has given me an opportunity to add something to my degree. Something that I wanted to find at my school but wasn’t there.”

Chisunta C.

Albertus Magnus College

“My experience with Rize classes has been extremely positive. I think they’re really well structured, and the professors really care as well - they’re really out there to help you”

Daniel W.

Lasell University

Data Science

Data Science