SACSCOC-accredited institution Undergraduate San Marcos

Bachelor of Science in Artificial Intelligence

Nicaragua's first Artificial Intelligence degree — theory and hands-on practice.

4
years
EN
Language
1
Campus
14:1
Student-faculty ratio

Program information

Get the curriculum, requirements and costs.

A U.S. degree.

Accredited by SACSCOC — the same commission that accredits universities across the United States.

Earned in Nicaragua.

San Marcos and Managua campuses. No visa, no relocation, no leaving your family behind.

About the program

What you'll
study

This program equips students with the knowledge and hands-on experience needed to meet the growing demand for AI professionals.

It emphasizes practical application of AI concepts such as natural language processing, voice recognition, simulated thinking, decision behaviors and deep learning using big data. Students gain the ability to analyze complex scenarios, make data-driven decisions and apply ethical and methodological standards across diverse industries.

The curriculum integrates theoretical and applied AI fundamentals, including programming in Python and the use of advanced computing platforms, preparing graduates to study, develop and deploy AI solutions in real-world contexts.

Who it's for

Students drawn to mathematics, programming and problem-solving who want to work at the front edge of the field — no prior AI experience assumed.

Program facts

Duration

4 years

Language

English

Format

On campus

Campus

San Marcos

Intakes

Varies by program and campus — confirm with an advisor

Awarded by

Keiser University, accredited by SACSCOC

Apply now Ask a counselor Program brochure (PDF)
Learning outcomes

What you'll
be able to do

Machine learning

Supervised, unsupervised and deep learning models.

Natural language processing

Systems that read, interpret and generate language.

Computer vision

Image and video recognition and interpretation.

Python and platforms

Practical programming on advanced computing platforms.

Big data

Working with data at a scale where intuition stops helping.

AI ethics

Bias, privacy and regulation as engineering concerns, not afterthoughts.

Curriculum

How the program
is structured

Year 1 · Foundations

Programming in Python · Discrete Mathematics · Linear Algebra · Introduction to AI

Year 2 · Core

Data Structures · Statistics and Probability · Databases · Machine Learning I

Year 3 · Applied

Deep Learning · Natural Language Processing · Computer Vision · Big Data Systems

Year 4 · Professional

AI Ethics and Regulation · MLOps and Deployment · Research Methods · Capstone Project

Course sequence is indicative. Your admissions counselor will confirm the current plan of study.

Career fields

Where this
takes you

Machine learning engineer

Building and deploying models in production.

Data scientist

Turning organizational data into decisions.

AI solutions developer

Applied AI inside products and services.

Automation specialist

Process automation in industry and services.

Research

Graduate study and applied research.

Technology consulting

Advising organizations on AI adoption.

Requirements

What you need
to apply

High school diploma

Official transcript or secondary school diploma.

Government ID

Cédula or valid passport.

Passport photos

Recent, in official format.

Completed application

Submitted at ku.edu.ni/newappform.

Process

Four steps

1

Let's talk

A counselor confirms this is the right program for your goals.

2

Complete your file

We guide you document by document. You never do it alone.

3

Get admitted

We review scholarship and financing options together.

4

Start classes

Registration, orientation and your first day as a Keiser student.

Who teaches you

Program faculty

Raul Coronado
Full-Time Professor

Raul Coronado

Master · AI

M.S. Applied Artificial Intelligence, TEC Monterrey

B.S. Computer Management Engineering, UAM, Nicaragua

Keiser University Nicaragua graduation
Faculty

109 instructors

Our faculty combines international graduate training with active professional experience in Nicaragua.

Meet the faculty
Professor teaching a class
Small classes

14:1

A 14:1 student-faculty ratio across the university. Class sizes vary by program, but you are taught in a group small enough to be known by name.

Our model
Your next step

Ready to start?

Talk to an admissions counselor about Bachelor of Science in Artificial Intelligence. No commitment, no cost.