La Salle University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be preferred.

About This Program

This program offers a comprehensive study of AI concepts and tools for professionals across various industries. It focuses on developing intelligent solutions to improve productivity and address societal challenges.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with generative ai expertise

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Research Scientist

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to computer vision and sequence data
• Analyze large datasets using AI-driven predictive methods
• Develop ethical AI systems with considerations for bias and privacy

Curriculum Highlights

The curriculum covers AI frameworks, compliance, and generative models. Course themes include data mining, neural networks, and case studies on autonomous systems, personal assistants, and information security software.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)