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Data Science

High student demand
$103k Data Scientist median salary
36% job growth
Add an outcomes focused Data Science program to increase enrollment and improve graduate ROI

Add this hands-on Data Science program to innovate your course offerings, attract a new set of students, and produce valuable job outcomes for your students in the fields of Data Science, Machine Learning, and AI Engineering.

Produce students with strong technical skills who are able to solve challenging problems through a data-driven lens.  Rize courses are structured around portfolio-building projects which teach hard skills, but also demonstrate those skills and higher level knowledge in the way hiring managers like to see.

The result - your students have a better shot at landing the job they want when they graduate.

Data Analytics student works at a laptop

97% of companies are investing in their data.
High-paying jobs are growing.
Students want in.

Job growth is nearly 3x the national average
Median annual salary for
data scientists
Project job growth over the next decade

What makes the Rize Data Science program attractive to prospective students

CFP Real World Projects
Flexible Schedules CFP Rize Education
Build Financial CFP Rize Education

Real-World Courses Taught by Qualified Professional & Academic Experts in the Data Science Field

Each Rize program has a dedicated curriculum committee comprised of faculty & industry experts in the program's subject area.

These experts understand the needs of hiring managers in related industries to ensure courses are current and professionally relevant.


Rize programs leverage the courses you already have:

Our Academic Partners will work directly with you to build a unique program leveraging and integrating courses you already have in your catalog.
A potential Data Science degree could look like this:
Example courses from your institution
Calculus I
Business Analytics
CS Programming Core (for colleges without a CS core, these courses are also available thru Rize)
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
Courses and curriculum

Data Science course descriptions

You can launch this Data Science program by adding 6 Rize courses to your existing catalog, enabling you to market a Data Science degree to prospective students in as little as one semester. Expand below to read the course descriptions.

DAM I - 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 II - Foundations of Data Analytics II

This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll learn how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning and the applications of Big Data. By the end of the term, you will be able to design and execute a range of data-driven experiments.

DSM I - Data Science I

This course is an introduction to data science in Python. Students will use advanced visualization and predictive modeling tools to turn raw data into actionable insights. Students will also learn how to use SQL to navigate databases.

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

This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications.

DSM IV - Practicum

This course is a capstone project in which students are asked to work through a full data science workflow using real-world data. This course exists to prepare students for the kind of work they will do on Data Science teams, and as such also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders.

Students give these courses rave reviews

“The projects we had to do were very motivating… It sparked interest in me, got the light going in my brain - I loved doing the projects!”
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
“Class experience is amazing!”
Mary D.
Mary Baldwin University
“It’s helped me know what I want to do in my career because of how immersive the assignments are.”
Jacob J.
Lasell University
“Even though everything was online… it still felt like the same kind of small classroom that I really enjoy, and that’s why I chose my college - so I kinda got that same experience even thru the computer.”
Summer R.
Lasell University
"One of the things I liked about [it] was getting to meet new people from different colleges and getting to hear new experiences and opinions."
Kara B.
Lasell University

Ready to learn more?

Fill out the form below and someone from our Academic Partnerships team will be in touch with you shortly.