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Artificial Intelligence, BS

Keiser University

This program is available in the following Florida campuses:

Pembroke Pines Campus

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.

Program Objectives

The following objectives are designed to meet Keiser University’s mission and its goals:

  • To provide students with the technical and critical thinking skills needed to develop Artificial Intelligence systems using tools such as anomaly detection, computer vision, and natural language processing.
  • To help students promote the advancement and use of Artificial Intelligence systems that can contribute to the sustainable development of businesses, organizations, and local community projects.
  • To prepare students to meet industry, academia, and government sector employment needs in the emerging field of Artificial Intelligence.
  • To provide students with the skills and required knowledge needed to develop Artificial Intelligence systems that use machine learning to solve complex problems. (Machine Learning Concentration)
  • To provide students with the skills and required knowledge needed to develop Artificial Intelligence systems that utilize data mining and analytics to create searchable knowledge stores from large volumes of unstructured data. (Data Science Concentration)

Prerequisites for Major Courses

  • Entering students must achieve a Wonderlic score (or comparable) of 18 or above for entrance to the program.

Program Outline

To receive a Bachelor of Science degree in Artificial Intelligence, students must earn 120 semester credit hours. Program requirements are as follows:

Lower Division Courses

Artificial Intelligence Major (33.0 credit hours) 11 courses
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
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
Speech 3.0 credit hours
Computers (3.0 credit hours) 1 course
Introduction to Computers 3.0 credit hours
English (6.0 credit hours) 2 courses
English Composition I 3.0 credit hours
English Composition II 3.0 credit hours
Humanities/Fine Arts (3.0 credit hours) 1 course
American Literature 3.0 credit hours
Contemporary World Literature 3.0 credit hours
Mathematics (6.0 credit hours) 2 courses
College Algebra 3.0 credit hours
Statistics 3.0 credit hours
Natural Science (6.0 credit hours) 2 courses
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 Courses

Upper Division General Education (6.0 credit hours) 2 courses
Intermediate Statistics 3.0 credit hours
Critical Thinking 3.0 credit hours
Artificial Intelligence Major (33.0 credit hours) 11 courses
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
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.

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