Keiser University’s Bachelor of Science degree in Artificial Intelligence (AI), with concentrations in Machine Learning and Data Science, is designed to address the increasing demand for AI specialists. Students develop the appropriate skills by using hands-on activities and analytical exercises while working with natural language processing, voice recognition, simulated thinking patterns, decision behaviors, machine learning, and deep learning utilizing big data sets. The Bachelor of Science in Artificial Intelligence program targets students interested in the study, development, and deployment of AI applications in a variety of industries. Students learn the necessary skills and practical abilities to understand, identify, select, and apply the appropriate tools, algorithms, methodologies, and ethical standards to projects related to this emerging field.
The curriculum enables students to solve and navigate complex scenarios that require drawing inferences appropriate to a given situation, performing decision-making using complex and changing data sets, discovering meaning, and generalizing conclusions based upon learned events and experience. The degree program covers general and applied AI fundamentals, including core programming languages such as Python, and platforms used in computer science specific to the sub-field of Artificial Intelligence.
The following objectives are designed to meet Keiser University’s mission and its goals:
To receive a Bachelor of Science degree in Artificial Intelligence, students must earn 120 semester credit hours. Program requirements are as follows:
Artificial Intelligence Major (33.0 credit hours) 11 courses | |
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Python Programming | 4.0 credit hours |
Essentials of Networking | 3.0 credit hours |
Data Structures & Algorithms | 3.0 credit hours |
Java Programming I | 4.0 credit hours |
Discrete Mathematics and Probability | 4.0 credit hours |
Multi-User Operating Systems | 3.0 credit hours |
Principles of Information Security | 3.0 credit hours |
Concepts of AI Programming | 4.0 credit hours |
Introduction to Machine Learning | 3.0 credit hours |
Artificial Intelligence I | 3.0 credit hours |
Web Development I | 4.0 credit hours |
Behavioral/Social Science (3.0 credit hours) 1 course | |
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Introduction to Psychology | 3.0 credit hours |
Political Science | 3.0 credit hours |
Sociology | 3.0 credit hours |
Communications (3.0 credit hours) 1 course | |
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Speech | 3.0 credit hours |
Computers (3.0 credit hours) 1 course | |
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Introduction to Computers | 3.0 credit hours |
English (6.0 credit hours) 2 courses | |
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English Composition I | 3.0 credit hours |
English Composition II | 3.0 credit hours |
Humanities/Fine Arts (3.0 credit hours) 1 course | |
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American Literature | 3.0 credit hours |
Contemporary World Literature | 3.0 credit hours |
Mathematics (6.0 credit hours) 2 courses | |
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College Algebra | 3.0 credit hours |
Statistics | 3.0 credit hours |
Natural Science (6.0 credit hours) 2 courses | |
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General Biology | 3.0 credit hours |
Advanced Biology | 3.0 credit hours |
General Chemistry | 3.0 credit hours |
Advanced Chemistry | 3.0 credit hours |
Upper Division General Education (6.0 credit hours) 2 courses | |
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Intermediate Statistics | 3.0 credit hours |
Critical Thinking | 3.0 credit hours |
Artificial Intelligence Major (33.0 credit hours) 11 courses | |
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Theory of Computation | 3.0 credit hours |
Deep Learning | 3.0 credit hours |
Artificial Intelligence II | 3.0 credit hours |
Legal and Social Issues in Computing | 3.0 credit hours |
Non-Relational Data Stores | 3.0 credit hours |
Cloud and Internet Computing | 3.0 credit hours |
Data Mining and Warehousing | 3.0 credit hours |
Neural Networks | 3.0 credit hours |
Compiler Construction | 3.0 credit hours |
Natural Language Processing | 3.0 credit hours |
Artificial Intelligence Capstone | 3.0 credit hours |
Upper Division Concentration (12.0 credit hours) 4 courses | |
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Machine Learning | |
Machine Learning Frameworks | 3.0 credit hours |
Machine Learning | 3.0 credit hours |
Advanced Machine Learning | 3.0 credit hours |
Data Mining and Machine Learning | 3.0 credit hours |
Data Science | |
Data Visualization | 3.0 credit hours |
Methods and Tools for Data Science | 3.0 credit hours |
Data Science and Analytics | 3.0 credit hours |
Big Data Analytics | 3.0 credit hours |
Credit hours in parentheses indicate the required number of credit hours in each discipline.
My instructors believed in me. They were more than instructors, they tried to get to know you as a person and tried to understand your goals so they could push you towards them. Student services helped me find a job before I even graduated. Everyone was dedicated to my overall success.
Going to Keiser University was one of the greatest experiences in my life. All of my deans, professors, and staff made me feel that I was a part of something very special, and I am. I would recommend for anyone to get their education at Keiser University.
The instructors at Keiser University impacted my life. They believed in my ability to become a great graphic designer, regardless of how I felt about my skills. KU helped to prepare me for the real world and got me to where I am today.
If not for my education at Keiser I probably would not be where I am today, in both life and career. It is because of going to Keiser and the instructors I had that I joined a club started by Mr. Williams, The Lakeland Shooters Photography Group, which allowed me to venture into an amazing and very creative field that I use to enhance all aspects of my life.
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Without the education I received at Keiser University, I would not be where I am today!
I not only received an excellent education but also encouragement and training that built my self-confidence every day.
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It has been great attending and graduating from Keiser University. Because of the small class sizes, I was able to build good relationships with classmates and professors. The PA professors care very much about the progress and success of the students and have been great advisors every step of the way through the program.
Attending Keiser University and getting my degree was the best decision I have ever made. The small class sizes and personalized attention helped me get my degree quickly. The hands-on experience and the education landed me a job at a neighboring law firm.
I chose Keiser because it had everything—small classes, caring professors, hands-on learning, and counselors that are really there for you. I feel like I’m part of a family here, not just a number.
After being denied for several promotions at my current employer, I decided that I needed to further my education. Since graduating from Keiser with my bachelor’s degree in Business Administration, I have been promoted and I am able to obtain positions that weren’t available to me before.
Beyond the curriculum of the courses, the lessons the instructors have taught me have paid dividends in my real work experiences. How to respond to criticisms, project and time management, interview skills, the list goes on and on. At the end of the day, they not only showed me how to design, but they taught me how to be a professional.
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My decision to attend Keiser University has been one of the best decisions I’ve made. I chose to enroll in the Information Technology program… The one-class-a-month pace helped incredibly with my self-discipline.
The BA for Business Administration at Keiser has to be one of the best in the nation. Keiser takes the basics that are taught at the Associates level and uses them to strengthen your skills and knowledge.
I found that Keiser University’s Nuclear Medicine program of advanced studies and small class size was a perfect fit. I never came across a faculty member who wasn’t truly interested.