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Artificial Intelligence


(Pending WSCUC approval)

Artificial Intelligence Emphasis

B.S. in Computer Science

A.I. technologies are exploding across the professional world, and studying them at TMU along with all the fundamental computer science skills a top-shelf technologist needs will equip you not only to find challenging and satisfying employment upon graduation but to glorify God for the rest of your life in the development and deployment of intelligent machines.

Explore the brilliant designs of our Creator in the human mind and brain, and the brilliant ways human beings are now studying, reproducing, and applying those designs in the intelligent machines and software technologies they create.

  • New Engineering & Computer Science center equipped with state-of-the-art technology opening Spring 2021
  • Understand and apply the latest developments in computer vision, natural language, and machine learning,
  • Learn the techniques and tools to build A.I. systems
  • CompTIA Authorized Academy Partner - USA
  • Small class sizes allow for close teacher-student mentorship and a high-level of scholarship.
  • Top faculty share in our commitment to Christ & Scripture.

A.I. are some of the most sophisticated systems humans have ever designed. Yet, they are based on elegant and simple concepts that can be understood by anyone with a basic familiarity with computer science and the determination to learn.

Students complete 53 emphasis-specific units in addition to General Education requirements and Bible requirements. Artificial Intelligence (A.I.) emphasis courses include:

  • Intro to A.I.
  • Natural Language Processing
  • Machine Learning
  • Computer Vision

Alumni are now employed across the nation in high-visibility and high-productivity roles with some of the most well-known and innovative companies in the world, including Google, Amazon, Oracle, Tesla, Comcast, Intuit, Cloudflare, Raytheon, Nike, Windstream, Northrop Grumman, Electronic Arts, NBC Universal, and the Johns Hopkins Applied Physics Lab, among many others. They are also strategically placed at Christian ministries and non-profits such as the Japanese Evangelical Missionary Society, Answers in Genesis, and locally at Grace Community Church.

What is “natural language processing”?

If you’ve ever said “Hey Siri” or “OK, Google” you’ve used one of the most popular speech recognition applications of natural language processing. Speech recognition applications are rapidly transforming the health care industry - especially when it comes to medical documentation, as well as adoption by the military, computer gaming, aiding people with disabilities, and a wide range of applications from aerospace, home automation, robotics, and much more. Speech recognition, however, is just a small segment of natural language processing. By merging artificial intelligence, computer systems, and linguistics, this rapidly evolving subfield is transforming the way we live and interact.

What is “machine learning”?

Your e-mail spam filter is one of the most common examples of machine learning. Your e-mail client is programmed to learn from your behavior - and the behavior of the millions of other users, combined with security software which “learns” what is spam or malware - and what is not. You’ve also experience product recommendations on platforms like Netflix and Amazon, or fraud detection of payment services like Paypal, and traffic predictions using Wayz or Google Maps. In essence, these computer algorithms are designed to improve automatically simply by being put into use. This raises fascinating questions, including ethical questions like “can machines be biased?” Students will explore deep learning, data mining, statistics, and optimization.

What is “computer vision”?

Self-driving cars, or autonomous vehicles; facial recognition on your iPhone, mammography x-ray scans, sports tracking in real-time, and that Google Translate app that scans one language to translate it into another language - these all use computer vision, a fascinating subfield of artificial intelligence. Students learn how computer systems can interpret images and videos, then automate tasks based on that understanding. The applications and career fields are vast and in high demand for medicine, manufacturing, military, and much more.


Average salaries in A.I. careers, as listed on Indeed (2020) range from $88,640 per year (average) for Software Engineer Intern to $147,134 per year for Machine Learning Engineer. According to Udacity (2020), four of the eight the highest paying cities for A.I. careers are in California: San Diego, Sunnyvale, and San Francisco leading the $187,353 for Machine Learning Engineers.

The Top 5 Careers in Artificial Intelligence

Median salaries as listed on Springboard, 2019

  • Machine Learning Engineer: $114,856
  • Data Scientist: $120,931
  • Business Intelligence Developer: $92,278
  • Research Scientist: $99,809
  • Big Data Engineer/Architect: $151,307

Potential Careers

  • Data Analytics & Data Mining
  • Senior Software Engineer, NASA A.I. Group
  • Machine Learning Engineer, Aerospace
  • Research Programmer, IS Institute
  • Machine Learning Scientist, Amazon
  • A.I. Machine Learning Researcher, Dell
  • Bioinformatics and Machine Learning, Sanofi
  • Machine Learning Researcher, Toyota
  • Software Engineer (Machine Learning & Cloud A.I.), Google
  • Machine Learning & A.I. Developer, Deloitte
  • Faculty in Computer Science
  • Senior Director for Data Science and AI in Cybersecurity, VISA

Core Courses

Intro to AI
Natural Language Processing
Machine Learning
Computer Vision

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