Programs

Browse our accredited programs taught by AI Twin professors

Select a Program

Master of Computer Science

A comprehensive program covering algorithms, data structures, AI, and software engineering

Master of Business Administration

Develop leadership skills and business acumen for the AI-driven economy

Foundations of Computer Science
Computer Science

Foundations of Computer Science

Covers discrete mathematics, computational theory, and logic. Provides essential theoretical underpinnings for advanced computer science topics.

3 credits
30 hours
core
Dr. Sarah Johnson
Algorithms & Data Structures
Computer Science

Algorithms & Data Structures

An in-depth study of algorithmic strategies, complexity analysis, and fundamental data structures (lists, trees, graphs).

3 credits
32 hours
core
Dr. Mark Rios
Advanced Database Systems
Data Science

Advanced Database Systems

Explores database design, query optimization, distributed databases, and transactions. Emphasis on modern NoSQL and Big Data systems.

3 credits
28 hours
core
Dr. Erin Yau
Distributed Systems & Cloud Computing
Computer Science

Distributed Systems & Cloud Computing

Examines distributed architectures, fault tolerance, microservices, and cloud platforms (AWS, Azure, GCP). Covers load balancing and virtualized clusters.

3 credits
35 hours
core
Dr. Linda Dupont
Machine Learning
AI & ML

Machine Learning

Introduces supervised and unsupervised learning algorithms, model evaluation, and common frameworks (TensorFlow, PyTorch).

3 credits
36 hours
core
Dr. Emily Barnes
Software Engineering Principles
Computer Science

Software Engineering Principles

Focuses on software lifecycle models, requirements engineering, design patterns, version control, and continuous integration.

3 credits
30 hours
core
Dr. Priya Raman
Computer Security & Cryptography
Computer Science

Computer Security & Cryptography

Provides understanding of cryptographic methods, secure software design, network security, and threat modeling.

3 credits
25 hours
elective
Dr. Mark Rios
Data Mining & Big Data Analytics
Data Science

Data Mining & Big Data Analytics

Techniques for mining large datasets, clustering, classification, and the Hadoop/Spark ecosystem for large-scale data analysis.

3 credits
30 hours
elective
Dr. Priya Raman
Deep Learning & Neural Networks
AI & ML

Deep Learning & Neural Networks

Delves deeper into neural network architectures, training strategies, and advanced topics like GANs and reinforcement learning.

3 credits
32 hours
elective
Dr. Emily Barnes
Natural Language Processing
AI & ML

Natural Language Processing

Covers text processing, language models, sentiment analysis, neural language understanding, and applications like chatbots.

3 credits
28 hours
elective
Dr. Priya Raman
High-Performance Computing
Computer Science

High-Performance Computing

Parallel computing principles, GPU programming, and optimization techniques for scientific computations and real-time analytics.

3 credits
25 hours
elective
Dr. Sarah Johnson
Web Development & APIs
Computer Science

Web Development & APIs

Modern web frameworks, RESTful and GraphQL APIs, micro frontends, and deployment strategies for scalable web services.

3 credits
24 hours
elective
Dr. Linda Dupont
Artificial Intelligence
AI & ML

Artificial Intelligence

Comprehensive introduction to AI fundamentals including knowledge representation, reasoning, search algorithms, and intelligent agents.

3 credits
30 hours
elective
Dr. Erin Yau