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Machine learning is an exciting field of data science that relies on computational algorithms as a means of discovering new insights, patterns, and connections in the world around us. Instead of explicitly programming a computer’s behavior, we teach computers to forge complex neural pathways that imitate a “thinking” brain. Through its wide-ranging applications, from speech recognition software to teaching driverless cars how to safely navigate our complex traffic systems, ideas that were once considered futuristic are swiftly becoming reality.

The BS in Computer Science in Machine Learning program focuses on predictive modeling and core machine learning algorithms, as well as on various paradigms such as artificial neural networks and deep learning. You’ll explore applications ranging from natural language processing to computer vision as you learn to draw meaningful conclusions from large distributed data sets.


Who Should Pursue This Degree?

The BS in Computer Science in Machine Learning program is our newest degree and is intended to give students a more direct path into emerging career opportunities at the intersection of data science and software engineering. Long taught as a specialized topic at the master’s and doctorate level, DigiPen’s machine learning program is among the few offered as a four-year bachelor’s degree. For those who want to experience the same proven curricula of DigiPen’s other computer science programs — while also pursuing a specific career interest in data analysis and predictive modeling — this program could be a good fit.

As a student in this program, you will:

  • Become a Proficient Software Engineer

    Dive deep into core programming languages as you tackle coursework in data structures, algorithm analysis, operations research, and more.

  • Design Your Own Machine Learning Applications

    Become adept at designing, implementing, and managing machine learning systems for a wide variety of applications and industry needs.

  • Gain Experience in a Collaborative Studio Environment

    Learn how to collaborate with others on a shared codebase as you solve problems and tackle the challenges of software development.


Academic Roadmap

The BS in Computer Science in Machine Learning curriculum includes a heavy emphasis on computer science and mathematics. While the first year of the program follows the same structure as DigiPen’s other Bachelor of Science programs, you will quickly work your way toward learning about the three main categories of machine learning (supervised, reinforcement, and unsupervised) and advanced math coursework involving probability and statistics, data science, and numerical analysis. Throughout the program, you’ll also be working with your peers on team-based computer science projects that challenge you to design and build innovative tools and software applications that incorporate machine learning solutions.

View a sample course sequence

Admissions Requirements

In order to apply for the BS in Computer Science in Machine Learning program, you should have a strong foundation in math, science, and problem-solving. You’ll need to have completed precalculus (or its equivalent) prior to attending DigiPen.

View all requirements

Topics Covered

Students in the BS in Computer Science in Machine Learning program will learn how to:

  • Tackle real-world problems by analyzing them and determining which combination of techniques can be used to provide general purpose solutions.
  • Implement basic and advanced machine learning algorithms from the ground up to understand their respective strengths and target applications.
  • Understand the math concepts behind many machine learning techniques and look for optimizations.
  • Extract meaningful information from raw data.
  • Consider the professional, ethical, legal, and security implications of data science and its impact on society and individuals.

Event Schedule

DigiPen Degree Program Deep Dive Series: Welcome to DigiPen with President Claude Comair

Saturday, July 10, 2021 - 10:00am to 12:00pm

DigiPen Degree Program Deep Dive Series: Welcome to DigiPen with President Claude Comair

Saturday, July 10, 2021 - 10:00am to 12:00pm

This two-hour Deep Dive session offers a broad overview of DigiPen itself and is especially helpful for students and families who haven’t attended one of our online or in-person events before.

This session will include:

  • A welcome talk with Claude Comair, founder and president of DigiPen
  • A brief overview of the degree programs
  • An overview of financial aid, types of accepted aid, available scholarships, and more 
  • An overview of student services, housing, Disability Support Services, and student life
  • A Q&A with staff from Admissions, Financial Aid, and Student Affairs
  • A panel of current DigiPen students discussing student life

RSVP Today

DigiPen Degree Program Deep Dive Series: Computer Science Programs

Thursday, July 15, 2021 - 4:00pm to 5:30pm

DigiPen Degree Program Deep Dive Series: Computer Science Programs

Thursday, July 15, 2021 - 4:00pm to 5:30pm

Join us online for the DigiPen Degree Program Deep Dive Series! Thursday, July 15 from 4:00 p.m. to 5:30 p.m. PST, we’ll have faculty members and students live on stream to share their insights and take your questions about our computer science degree programs.

RSVP Today

DigiPen Degree Program Deep Dive Series: Project-Based Learning

Friday, July 16, 2021 - 4:00pm to 5:30pm

DigiPen Degree Program Deep Dive Series: Project-Based Learning

Friday, July 16, 2021 - 4:00pm to 5:30pm

Join us online for the DigiPen Degree Program Deep Dive Series! Friday, July 16 from 4:00 p.m. to 5:30 p.m. PST, we’ll discuss our project-based learning approach to have students learn to collaborate in cross-disciplinary teams involving several different majors, which accurately simulates the professional production process found in the real world. We’ll have faculty expand on this educational philosophy and explain why it’s been so successful in preparing our graduates for their future careers.

To wrap up our Deep Dive Series, DigiPen Founder and President Claude Comair will offer a closing talk and take your questions live.

RSVP Today

Meet the Faculty

Faculty in the BS in Computer Science in Machine Learning program have decades of theoretical and applied expertise in professional software development and artificial intelligence. These are just a few of the faculty who teach core courses in the program.

DigiPen Faculty Barnabas Bede, Ph.D.

Barnabas Bede, Ph.D.

Department Chair

Dr. Barnabas Bede earned his Ph.D. in Mathematics from Babes-Bolyai University of Cluj-Napoca, Romania. His research interests include Fuzzy Sets, Fuzzy Logic and Image Processing. He serves as editorial board member of the journals Fuzzy Sets and Systems and Information Sciences. He joined DigiPen in 2011. Before that, he held positions in Romania, Hungary, University of Texas at El Paso and University of Texas-Pan American. At DigiPen he develops class material for Fuzzy Sets and various topics in Mathematical Analysis.

DigiPen Faculty Samir Abou Samra

Samir Abou Samra

Chief Technology Officer

Samir Abou Samra is a 12-year veteran of the video game industry with 15 years of experience teaching computer science and video game production classes. Samra has held high-ranking positions at a number of technology companies, including Founder and CEO of Multitek, Lead Engineer at Nintendo Software Technology, Vice President of Operations at Nintendo Software Incorporated, Canada, and CEO of Al Kalam Al Electronic.

DigiPen Faculty Yilin Wu, Ph.D.

Yilin Wu, Ph.D.

Assistant Professor

Dr. Yilin Wu received her Ph.D. in Mathematics from Temple University in Philadelphia. Her research interests and skills include mathematical modeling, data analysis, machine learning, and deep learning. Prior to joining DigiPen in 2019, Dr. Wu taught at Temple University’s campuses in Philadelphia and Tokyo. In addition to her higher education experience, she has also taught online courses and K-12 courses.


Career Outlook

Graduates of this degree program will be prepared to enter technical industries as entry-level data scientists or software engineers.

Potential Careers

Data Scientist

The role of a data scientist is to collect, analyze, and make sense of large amounts of data — finding trends, discovering patterns, and identifying potential new strategies and solutions as a result. Data scientists often rely on a combination of computer science and machine learning knowledge to devise new methods of data analysis.

Application Analyst

An application analyst is responsible for supporting and maintaining the functionality of a company’s bespoke software infrastructure. In particular, they use their knowledge of these software systems and applications to diagnose problems and determine appropriate solutions.

Software Development Engineer

Software development engineer (SDE) positions can be found in any number of industries. The role of an SDE is typically to design and build computer systems and software — either from scratch or by modifying existing systems and codebase.

Other Job Titles

  • Software Engineer

  • Software Developer

  • Software Development Engineer in Test

  • Computer Programmer

  • Game Developer

  • Program Manager

  • Software Analyst

  • Predictive Analyst

  • Business Intelligence

Collage of images from game screenshots, including a dragon, porcelein doll, blocks, and aliens.

Be sure to check out the dozens of student game trailers, and see what DigiPen students were up to throughout the 2020-21 academic year.

DigiPen BS in Computer Science in Machine Learning sophomores Eric Zander and Andrew Ardeleanu pose in a campus computer lab wearing face masks.

For their sophomore project, three Dragons use the power of neural networks to optimize treatment of glioblastoma multiforme.

DigiPen faculty member Ellen Guon Beeman

For junior programmers looking to land that coveted job interview, DigiPen professor Ellen Guon Beeman’s new book on code sample writing aims to help.

Take the Next Step

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Start Your Application

Ready to take your education further? Head to our secure application portal and submit an application for admission.

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