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Baylor BU School of Engineering and Computer Science Prospective Graduate Graduate Degree Programs Master of Science in Artificial Intelligence+ MSAI+ Degree Plan
  • Graduate Degree Programs
    • Master of Science in Artificial Intelligence+
      • Admissions
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      • Tuition and Financial Support
    • Master of Science in Biomedical Engineering
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    • AI Certificate Program
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MSAI+ Degree Plan

The MSAI+ degree requires 30 credit hours with 21 hours on AI core curriculum, 6 hours on focus areas, and 3 hours on a focus area related capstone project or internship as shown in Table 1. Students meet graduation criteria with a cumulative GPA of 3.0 or better across all academic courses.

  Core Courses (21 Hours)

The core courses reflect the foundation of the AI field. Both the topics of the courses and the content of each course are closely monitored to reflect the latest technology change and development. 

Course NameAvailability
Ethics in AI and Responsible AICSI 5320
Foundations of Artificial IntelligenceCSI 5328
Introduction to Machine LearningCSI 5325
Data Mining and AnalysisCSI 5355
Generative AI and Agentic AICSI 5375
Cloud ComputingCSI 5357
Advanced Deep LearningCSI 6326
AI Systems DesignCSI 5377

AI+ Focus Areas (6 Hours)

The program is intentionally designed to foster interdisciplinary collaboration across Baylor’s colleges and departments, reflecting AI’s pervasive influence in different domains. Four focus areas will enable students to specialize their AI training within real-world contexts. Students are able to add other focus areas besides the ones listed. The collaboration will provide essential faculty expertise, specialized lab resources, and relevant domain data. The areas are closely linked to the strengths of Computer Science department and Baylor’s other academic units as well as reflecting industrial needs. Interdisciplinary faculty from other Baylor colleges and schools will contribute domain-specific learning through advising on focus area courses and capstone project design. Students will be exposed to domain-specific data, customized AI methodologies, tools used in the focus area, and the latest development and challenges for the field.

CYBERSECURITY

With CS department’s Cybersecurity undergraduate major, investment in several new faculty, and the state-of-the-art Texas Cyber Range infrastructure at the Baylor Innovation Research Center (BRIC), AI for cybersecurity or cybersecurity in AI is a natural focus area for the program. ECS have in-house graduate cybersecurity courses available to students and our faculty have experience in this disciplinary field. Faculty from the departments of Computer Science and Electrical and Computer Engineering collaborate on capstone projects like cybersecurity in networks or cyber physical systems.

Course NameAvailability
Cybersecurity ConceptsCSI 5361
Cybersecurity AnalyticsCSI 5367
Cybersecurity for Artificial IntelligenceCSI 5369
BIOMEDICAL AND HEALTHCARE INDUSTRY

Numerous faculty at Baylor’s Robbins College of Health and Human Sciences and faculty in the Chemistry and Biochemistry Department are collaborators for this focus area course development and capstone projects. As an example, some potential courses can focus on cancer treatment. Departments involved include Computer Science, Biochemistry and Public Health.

Course NameAvailability
Bioinformatics and System BiologyBINF 5309
Advanced Computational BiologyCSI 5330
FINANCIAL ENGINEERING

AI has been transforming financial engineering by enabling the creation of more sophisticated models for risk management, algorithmic trading, and portfolio optimization. Collaborators include Computer Science and the Finance Department of Baylor Business School.

Course NameAvailability
AI in FinTechCSI 5389
Behavioral FinanceFIN 5338
QUANTUM COMPUTING

Faculty in the departments of Computer Science, Physics and Electrical Computer Engineering conduct research in quantum physics. Quantum computing has the potential to exponentially accelerate AI and will revolutionize several critical application areas, such as cryptograph, drug development, optimization, etc.

Course NameAvailability
Quantum ComputingCSI 5370
Quantum AICSI 5371

Capstone Project (3 Hours)

The three-hour credit semester long capstone project represents the final stage of further refinement of learning with domain-specific application and problem solving. Teams of students (4-5 members) work with faculty and members of industry for hands-on experience with large data sets and the latest AI technology and techniques. Topics will either be carefully chosen by students with input and approval from instructors, or faculty will suggest topics in focus areas.

School of Engineering & Computer Science

School of Engineering & Computer Science
One Bear Place #97356
Waco, TX 76798-7356

Department of Computer Science
One Bear Place #97141
Waco, TX 76798-7141

ECS_Student_Services@baylor.edu
(254) 710-3890
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Baylor BU School of Engineering and Computer Science Prospective Graduate Graduate Degree Programs Master of Science in Artificial Intelligence+ MSAI+ Degree Plan
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