GU TECH
MS Artificial Intelligence
Programs

MS Artificial Intelligence

This page presents a polished AI program concept using GU TECH's institutional direction around AI leadership and technical growth.

Planned graduate intake
StatusPlanned program track
Best forGraduates focused on ML, AI systems, and applied automation
Use caseA clear extension of the university postgraduate portfolio
Graduate track

Overview

The MS Artificial Intelligence page is intentionally positioned as a planned graduate pathway. It leverages institutional momentum around AI and digital transformation, then presents a coherent academic story around machine learning, intelligent systems, and applied AI problem solving.

Semester-wise curriculum

Open each semester to review course codes, titles, core area tags, and credit hours.

CourseTitleCoreCredit Hours
AI-601Mathematics for AICore3
AI-602Machine Learning FoundationsCore3
AI-603Python for AI SystemsCore3
AI-604Data and Model EngineeringCore3
Total12
CourseTitleCoreCredit Hours
AI-605Deep LearningCore3
AI-606Natural Language ProcessingCore3
AI-607Computer VisionCore3
AI-6E1Elective IElective3
Total12
CourseTitleCoreCredit Hours
AI-608MLOps and Production AICore3
AI-609AI Ethics and GovernanceCore3
AI-610Reinforcement LearningCore3
AI-6E2Elective IIElective3
Total12
CourseTitleCoreCredit Hours
AI-699Thesis / Applied AI CapstoneCore6
AI-6E3Elective IIIElective3
Total9

Program Highlights

Explore career paths, themes, and learning outcomes.

  • Intelligent Systems Design
  • MLOps and Production AI Pipelines
  • Reinforcement Learning and Adaptive Systems
  • AI for Cybersecurity and Risk Intelligence
  • Applied AI in Healthcare and Industry Use Cases
  • Thesis / Applied AI Capstone
MS Artificial Intelligence
Artificial intelligence specialization pathway

Explore next

MS Data ScienceOpenInnovation & Incubation CentreOpenRequest more informationOpen