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Masters
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Computer Science & IT
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Master in Artificial Intelligence (MSc) - Saint Louis
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MASTERS

Master in Artificial Intelligence (MSc) - Saint Louis

Saint Louis University
St. Louis, MissouriUSA
On campus
Full-time
€40,548.92total
 3086 Points
Duration
1 Year, 6 Months
Language
English
Apply date
Aug 2024

Program Description

Saint Louis University’s master’s program in Artificial Intelligence (MSc) prepares students to apply artificial intelligence methods both efficiently and ethically in order to solve difficult problems and impact the well-being of society.

This graduate program provides students with a depth of knowledge regarding the models and technologies used to make advances in underlying artificial intelligence and machine learning.

Students in SLU's artificial intelligence degree program engage in the theory of artificial intelligence (AI) and machine learning (ML) and in applying AI/ML in practice, including a culminating research thesis or team-based capstone project. Students also consider important questions regarding the impact of AI on society, an implicit bias that may result from AI systems, and the ethical development and deployment of technologies.

Entry Requirements

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Curriculum

Year 1

Semester 1

Principles of Software Development

Introduction to Artificial Intelligence

Introduction to Machine Learning

Semester 2

Artificial Intelligence Foundations:
Evolutionary Computation
Advanced Techniques in Artificial Intelligence
Deep Learning
Applied Regression
Bayesian Statistics and Statistical Computing

Artificial Intelligence Applications:
Machine Learning for Bioinformatics
Brain-Computer Interface
Algorithmic Fairness
Learning and Inference in Networking
Machine Learning for Networks
Computer Vision
Natural Language Processing
Machine Learning for GIS and Remote Sensing
Predictive Modeling and Machine Learning

Artificial Intelligence Supporting Courses:
Machine Learning for Bioinformatics
Brain Computer Interface
Algorithmic Fairness
Learning and Inference in Networking
Machine Learning for Networks
Computer Vision
Natural Language Processing
Machine Learning for GIS and Remote Sensing
Predictive Modeling and Machine Learning

Year 2

Semester 3

Computing and Society

Artificial Intelligence Capstone Project

Careers

  • Machine learning engineer
  • Προγραμματιστής Full-stack
  • Computer vision engineering
  • Data scientist
  • Java developer
  • DevOps engineer
  • Data engineer
  • Μηχανικός λογισμικού
  • UX designer
  • QA engineer
More

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