Program Overview

The Machine Learning program focuses on designing and implementing algorithms that enable computers to learn from data. Students learn to develop predictive models and intelligent systems, applying machine learning techniques to solve real-world problems and enhance technological capabilities.

Eligibility Criteria

High School Diploma, GED Or Equiv. International Education

Credit Hours

96 Hours

Course Duration

1 Year (Self-Paced) Program

Courses Offered

16

Technical Foundation And Programming Proficiency:

The College of Computer Science is designed to establish a strong technical foundation and proficiency in programming. Students start by building a solid understanding of computer science fundamentals and gain hands-on experience in coding and software development. This technical base prepares students for a successful career in the ever-evolving world of technology.

Industry Connections And Tech Community Involvement:

Beyond the classroom, our Computer Sciences program places a significant emphasis on fostering industry connections and involvement in the tech community. Students have opportunities to participate in hackathons, tech conferences, and internships with leading tech companies. These experiences not only enhance their technical skills but also provide valuable insights into the tech industry.

Global Tech Innovation And Collaborations:

The College of Computer Science at Los Angeles City University is committed to fostering global tech innovation and promoting collaborative ventures. Our curriculum incorporates international perspectives in technology and encourages students to work on projects with global reach. Additionally, we offer study abroad programs and collaborate with tech professionals from around the world, enabling students to gain a global perspective on computer sciences.

The course explores philosophic and artistic heritage of humanity expressed through a historical perspective on visual arts, music, and literature. Topics include myth, literature, art, music, television, cinema, and the theater. Also discussed are provocative issues in the humanities - religion, morality, happiness, death, freedom, and controversies in the arts.


Social and Cultural Geography considers why geography matters to the analysis and understanding social relations, cultural identity and social inequality. Course examines how social life is structured at a variety of scales with respect to ethnicity, industries, services, urban patterns, and resources of world as a whole.


English Composition provides you with rhetorical foundations that prepare them for academic and professional writing. You will learn the strategies and processes that successful writers employ as you work to accomplish specific purposes. You will develop skills in writing unified, coherent, well-developed essays using correct grammar and effective sentence structure.


College Algebra provides an overview of the fundamental concepts of algebra: an understanding of the general concepts of relation and function; and the ability to solve practical problems using algebra.


World Religions course offers the broadest coverage of world religions as they exist today; helping you understand the ideology behind the many religions that strive today. While it is impossible to cover all religions, it does cover those of the vast majority of people.


Evenly balanced between theory and applications, this course shows you how to establish an ethical theory and how to apply it to a range of specific moral issues. This course examines ethical problems in such areas as mercy killing, personal relations, business, sexuality, medicine, and the environment.


This course introduces the origins and historical development of art. Emphasis is placed on the relationship of design principles to various art forms including but not limited to sculpture, painting, and architecture. Upon completion, you should be able to identify and analyze a variety of artistic styles, periods, and media.


This course provides the mathematical foundation for an introductory calculus course. In addition to a brief review of basic algebra, the course covers equations and inequalities; functions, models, and graphs; polynomial and rational functions; exponential and logarithmic functions; trigonometric functions; and trigonometric identities and equations.


This course is an introductory study of the human body, including the basic structure and function of the major organ systems (nervous, endocrine, circulatory, reproductive, etc.) and the effects of diet, exercise, stress and environmental change on human health.


World History course present the big picture, to facilitate comparison and assessment of change, and to highlight major developments in world's history. This course emphasizes the global interactions of major civilizations so that you can compare and assess changes in the patterns of interaction and the impact of global forces.

Introduction to Computing is designed to give you a better understanding of computing in order to give you a stronger foundation for later courses. The course is in two parts: (a) the underlying structure of a computer, and (b) operating systems and databases


This solid foundation in the basics of C++ programming will allow you to create efficient, elegant code ready for any production environment. This course will motivate you by demonstrating why you need to learn the concepts and skills presented.


This course contains topics related to computer systems, architecture, Number Systems, Data Formats, The Little Man Computer, The Cpu And Memory, Computer Peripherals, Modern Computer Systems and Regular Languages And Regular Expressions.

This course provides a comprehensive understanding of the fundamental principles of machine learning. Students will gain knowledge and skills in algorithm development, model training, and performance evaluation.


This introductory course covers the basics of machine learning, including essential concepts and practices for developing machine learning models. Students will learn about supervised and unsupervised learning, neural networks, and practical applications.


This course delves into the key principles of machine learning, emphasizing algorithm development, model optimization, and practical applications. Students will learn how to develop and deploy machine learning models effectively.

Cost of Attendance

Tuition Fee Breakdown Cost
ASSOCIATE DEGREE $21,120
Medical Insurance $0.00
Personal Expenses $0.00
Study Materials $0.00
Food Cost $0.00
Total Tuition Fee $21,120
WHERE AFFORDABILITY

Meets Opportunity

At Los Angeles City University, we believe in where affordability meets opportunity. Our commitment to accessible education ensures that quality learning doesn't come with a hefty price tag. We open the doors to knowledge, offering students the chance to thrive without the burden of overwhelming tuition fees, empowering them for a brighter future.