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MicroBachelors® Program in
Elements of Data Science

What you will learn

  • The basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems
  • Data models and systems for processing signals, images, and big data sets
  • Practical implementation of signal processing and machine learning algorithms on data from the real world
  • Ability to navigate the data science process as an expert instead of relying on trial and error with black box methods

Across industries, data science is becoming an ever-increasing necessity for organizations to be successful. Collecting, analyzing and strategically acting on big data sets based on key signals is critical, and data scientists are the ones leading the way and informing decision makers.

This online Intermediate-level program is designed for working adults looking to pursue a career as a data scientist and roles focused on machine learning. Whether you already work with data in your current role or are interested in the larger field of computer science, this program is designed to build a solid foundation in underlying algorithms and principles of the tools used. This Foundational Data Science MicroBachelors program consists of two courses that develop key mathematical skills and explores terminology, models, and algorithms found in signal processing and machine learning.

Prerequisite - In addition to the math skills developed in the Linear Algebra course, calculus (which is not a part of this program) is required.

Expert instruction
2 high-quality courses
Progress at your own speed
4 months
6 - 8 hours per week
For the full program experience

Courses in this program

  1. RICEx's Elements of Data Science MicroBachelors® Program

  2. 6–8 hours per week, for 8 weeks

    This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.

  3. 6–8 hours per week, for 8 weeks

    Enter the world of signal processing: analyze and extract meaning from the signals around us!

    • Data Science is one of the fastest growing job areas in the US with jobs projected to grow 19% over the next 10 years. (Source: Burning Glass)
    • The average salary for an Entry Level Data Scientist is about $100,000. (Source: Burning Glass)
    • Skills in Data Science are needed to pursue careers as a Data Analyst, Quality Assurance Engineer and other data-driven entry-level roles.

Meet your instructors
from Rice University (RICEx)

Richard G. Baraniuk
Victor E. Cameron Professor of Electrical and Computer Engineering
Rice University
Stephen Wang
Associate Teaching Professor
Rice University

Experts from RICEx committed to teaching online learning

Also in Math at edX


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