This track focuses on Machine Learning, preparing students with the technical knowledge and practical skills the field expects at the Bachelor's level.
Graduates are equipped to pursue relevant technology career paths, with a self-paced format built for students balancing work and other commitments.
1
General Courses
10 Courses
B-057Introduction to the Humanities
A broad survey of the art, literature, and ideas that have shaped human culture.
- Landmark works in art and literature
- Philosophical movements across eras
- Interpreting cultural artifacts in context
AAS-085Social and Cultural Geography
Exploring how geography shapes societies, economies, and cultural identity.
- Population patterns and migration
- Urban and rural land use
- Regional cultural differences
B-158English Composition
Developing clear, well-organized writing for academic and professional contexts.
- Building a strong thesis and outline
- Paragraph structure and transitions
- Revising drafts for clarity and tone
B-200College Algebra
Building fluency with algebraic methods used across academic disciplines.
- Solving linear and quadratic equations
- Working with functions and graphs
- Applying algebra to real-world problems
B-336World Religions
A comparative look at the beliefs and practices of major world faiths.
- Core beliefs of major traditions
- Religious ritual and practice
- Religion's influence on society
AAS-370Ethics
Examining moral theories and how they apply to everyday decisions.
- Major ethical theories and frameworks
- Applying ethics to real-life dilemmas
- Evaluating competing moral claims
B-460Art Appreciation
Building a vocabulary for understanding and evaluating visual art.
- Elements and principles of design
- Major art movements through history
- Analyzing meaning in visual works
AAS-584Pre-Calculus
Strengthening the mathematical foundation needed for advanced coursework.
- Polynomial and rational functions
- Exponential and logarithmic relationships
- Trigonometric identities and graphs
B-825Human Biology
An introduction to how the human body functions at the systems level.
- Major organ systems
- Cell structure and function
- Basic human physiology
AAS-902World History
Tracing major civilizations, conflicts, and turning points across the globe.
- Rise and fall of empires
- Global conflicts and their causes
- Cultural exchange across regions
CS-026Introduction to E-Commerce
Covers the fundamentals of buying, selling, and transacting online.
- Online business models
- Digital payment processing basics
- E-commerce platform fundamentals
CS-159Introduction to Data Communication
Introduces how data is transmitted and structured across communication networks.
- Data transmission basics
- Communication protocols overview
- Signal types and encoding
CS-172Introduction to Computing
A foundational look at computer systems, hardware, and basic computing concepts.
- Computer hardware basics
- Operating system fundamentals
- File systems and storage
CS-366Networking Basics
Covers the fundamental building blocks of computer networks.
- Network topology basics
- IP addressing fundamentals
- Common networking hardware
CS-535Introduction to Programming
Introduces core programming logic and syntax used across languages.
- Variables and control structures
- Writing basic functions
- Debugging simple programs
CS-580Essentials of Computer Science
Covers the foundational concepts every computer science student needs.
- Core CS terminology
- Problem-solving approaches in computing
- Overview of CS career paths
CS-633Foundations of Information Technology
Introduces the fundamentals of managing and supporting IT systems.
- IT support fundamentals
- System maintenance basics
- Common IT troubleshooting steps
CS-675Computer & Internet Search
Builds effective research and information-retrieval skills using digital tools.
- Advanced search techniques
- Evaluating online sources
- Organizing digital research
3
Specialist Courses
6 Courses
FOM-2440Fundamentals of Machine Learning
Covers the foundational concepts behind training predictive models.
- Supervised vs unsupervised learning
- Basic model training concepts
- Common machine learning use cases
ITM-2441Introduction to Machine Learning
A broad orientation to the machine learning field and career paths.
- History of machine learning
- Machine learning career pathways
- Overview of ML tools and platforms
MLP-2442Machine Learning Principles
Introduces the mathematical and statistical principles behind ML models.
- Statistical foundations of ML
- Model evaluation principles
- Bias and variance basics
MLA-2466Machine Learning Analysis
Covers techniques for analyzing and interpreting machine learning model results.
- Interpreting model performance metrics
- Analyzing prediction errors
- Feature importance analysis
MLA-2467Machine Learning Applications
Explores applying machine learning models to real-world business problems.
- ML in business decision-making
- Applying ML to real datasets
- Deploying models to production
MLS-2468Machine Learning Strategies
Covers strategic approaches to adopting machine learning within an organization.
- ML adoption roadmap planning
- Choosing the right ML approach
- Long-term model maintenance planning
$72,000
Total Program Cost
Fees are billed per term and are subject to change. Financial aid, scholarships, and flexible payment plans are available to students who qualify.
Explore Financial Aid
Admission requires High School Diploma or GED.
01
Submit Your Application
Complete the online application with your basic and academic details.
An admissions advisor reviews your application and any transfer credit.
Receive your decision, complete enrollment, and start your first term.
Apply Now