Computer Science AI Degree Highlights
Harness the power of an AI degree.
Computer science is a foundational discipline that drives innovation across nearly every aspect of modern life—from smartphones and smart homes to self-driving cars and intelligent virtual assistants. Computer scientists are critical in shaping how we communicate, work, travel, and interact with technology.
Computer scientists, often working alongside software developers, data scientists, and engineers, use their algorithms, data structures, programming languages, and systems design expertise to solve complex problems and build reliable, scalable software. They are not just coders but analytical thinkers and creative problem-solvers who design the logic that powers everything from operating systems and mobile applications to cutting-edge artificial intelligence systems.
With the rapid evolution of technology, professionals in this field must stay current with emerging trends such as artificial intelligence, machine learning, big data analytics, extended reality (XR), and quantum computing. These technologies are transforming the healthcare, finance, transportation, and entertainment industries, creating a growing demand for skilled professionals.
The computer science degree in AI equips students with specialized skills in machine learning, neural networks, natural language processing, and intelligent systems. Graduates are prepared for computer science careers like software developer, application engineer, systems programmer, and AI engineer, or graduates may choose to pursue advanced studies such as a Master of Science in Information Systems, which combines technical expertise with business acumen, preparing them for leadership roles.
Learn Your Way
Artificial intelligence courses are taught at the Cadillac, Owosso, and Royal Oak campuses, as well as through Baker Online.
Learn MoreWhy Earn a Computer Science Artificial Intelligence Degree?
Earning a computer science artificial intelligence degree will prepare you for a variety of careers, including:
- Business Intelligence Analyst
- Computer Programmer
- Data Analyst
- Database Administrator
- Machine Learning Engineer
- Software Developer
AI Curriculum
The computer science with artificial intelligence degree is a 120-hour program that prepares programmers to incorporate AI tools, including machine learning, deep learning, machine perception, and other AI-related technologies into their products or solutions.
Sample Courses
Introduction to Artificial Intelligence
Machine Learning
Perceptive Artificial Intelligence
Outcomes
- Demonstrate competency with various programming languages and operating systems with emphasis on object-oriented design and end-user functionality.
- Analyze a complex computing problem and apply principles of computing and software development fundamentals to produce computing-based solutions.
- Create a computing-based solution to meet a given set of computing requirements.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to computer science and software development.
Frequently Asked Questions
At Baker College, the program is housed within the College of Information Technology and Engineering, emphasizing both a rigorous computer science curriculum and a deep dive into emerging AI technologies. Students can benefit from small class sizes, hands-on labs, and close interactions with experienced faculty who are actively engaged in both teaching and industry projects. The AI curriculum is regularly updated to reflect current trends in AI and computer science, ensuring graduates are equipped with relevant and up-to-date skills. Learn more about the computer science AI program.
Baker’s AI concentration includes courses that cover key areas such as:
- Introduction to Artificial Intelligence: An overview of AI fundamentals, including problem-solving techniques and basic algorithms.
- Machine Learning and Data Analytics: Focuses on algorithm development and statistical methods that enable machines to learn from data.
- Advanced Topics in AI: In some semesters, students may have the opportunity to explore emerging AI topics such as deep learning, robotics, or computer vision.
These AI courses are designed to provide both theoretical knowledge and practical applications in real-world scenarios. View the Complete Computer Science AI Curriculum
A standout feature in Baker’s computer science programs is the strong emphasis on experiential learning. Students complete hands-on lab work and are required to participate in a senior capstone or project-based course that simulates industry challenges. Additionally, a work experience component (which may include internships or cooperative education placements) is integrated into the AI degree curriculum, allowing students to gain practical exposure and network with industry professionals before graduation.
Yes, while the computer science artificial intelligence program has a set of required courses to ensure a comprehensive understanding of both AI and computer science, there is also flexibility through elective options. You can choose 15 credit hours of electives that match your interests—whether they lean towards theoretical aspects of AI, data science, or practical software development—allowing you to tailor their computer science education to specific career goals.
The computer science AI curriculum is continually reviewed and updated by faculty and industry advisory boards. This process ensures that both the computer science and AI courses reflect emerging trends such as deep learning, big data analytics, and the integration of AI in diverse industries. In addition, industry partnerships and guest lectures from leading professionals help keep students informed about the latest developments.
Graduates from the computer science online degree with an AI concentration are prepared for a variety of roles, including:
- AI Engineer / Machine Learning Specialist: Designing and implementing AI-driven systems
- Data Scientist / Analyst: Utilizing AI to interpret complex datasets
- Software Developer: Creating applications that incorporate intelligent features
- Systems Architect: Designing the technical frameworks that support AI solutions
Baker’s strong industry connections and career services further support job placement in sectors such as healthcare, finance, government, technology startups, and more. Explore more AI-driven career opportunities after graduation.
At Baker, we are committed to student success and provide:
- Academic Advising: Regular advising sessions to help you plan your course schedule and meet graduation requirements.
- Tutoring and Lab Assistance: For challenging subjects, particularly in mathematics and computer science, tutoring services are available.
- Career Services: Workshops, resume clinics, and job placement assistance are provided to help you transition to the workforce. These services are designed to support students both in and out of the classroom.
Yes. Baker College accepts transfer credits from accredited institutions. The transfer process is evaluated on a case-by-case basis to ensure that courses align with the program’s academic standards. Prospective transfer students should speak with an admissions advisor for transfer options. Find out if your credits transfer with our interactive tool.
On Campus Available
View campus locationsAvailable on Baker Online
Courses for this degree program are available through Baker Online.
100% online, this format offers flexible scheduling with 8-week semesters
Baker OnlineUnavailable on Online Live
Core courses for this degree program are not offered through Online Live.
For those interested, a selection of general education and prerequisite courses are available through Online Live each semester.
Online Live