Data Analytics/Data Science
High student demand
$101k Data Scientist median salary
36% job growth
Add a portfolio-building Data Analytics program to increase enrollment, and improve graduate ROI
Add this hands-on Data Analytics program to innovate your course offerings, attract a new set of students, and produce valuable job outcomes for your students.
A well-built portfolio is essential to landing a great career in Data Science/Data Analytics. 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.
97% of companies are investing in their data.
High-paying jobs are growing.
Students want in.
7x
Job growth is nearly 7x the national average
$65-115k
Starting salary range in data analytics careers
+36%
Job growth over the next decade
What makes the Rize Data Analytics program attractive to prospective students
Professional & Academic Experts
Gregory Edwards
Rize Education
Harvard University, University of London
Harvard University, University of London
Mala Sarat Chandra
Sun Microsystems, Microsoft,
University of Washington
University of Washington
Abhinaya Ananthakrishnan
Global Data Analytics Manager,
Meta
Meta
ACADEMIC ADVISORS
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 Analytics degree could look like this:
Example courses from your institution
Calculus I
Statistics
Probability
Ethics
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
Principles and Techniques of Data Analytics I
Principles and Techniques of Data Analytics II
Data Analytics Practicum
Courses and curriculum
Data Analytics course descriptions
You can launch this Data Analytics program by adding 5 Rize courses to your existing catalog, enabling you to market a Data Analytics 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.
DAM III - Principles and Techniques of Data Analytics I
This course is based heavily on UC Berkeley’s Data 100 class. Data Analytics combines data, computation, and inferential thinking to solve challenging problems and understand their intricacies. This class explores key principles and techniques of data science and teaches students how to create informative data visualizations. It also explores particular concepts of Linear Algebra which are central to Data Science.
DAM IV - Principles and Techniques of Data Analytics II
This course builds on Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist. Data Analytics combines data, computation, and inferential thinking to solve challenging problems to thereby better understand the world. This class explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. It will also introduce students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields.
DAM V - Data Analytics Practicum
This course is a capstone project in which students are asked to work through a full data science workflow on a set of real data drawn from sports, politics, business or public health. This course exists to prepare students for the kind of work they will do on Data Science or Analytics 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?
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