Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with strong programming skills and coursework in linear algebra, probability, and algorithms is required, along with a minimum GPA of 3.0.

About This Program

This online master's track offers comprehensive training in machine learning techniques and their diverse applications across various industries like finance and bioinformatics.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with neural networks expertise

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

What You'll Learn

Implement supervised and unsupervised machine learning models for real-world data problems.
Design and train deep neural networks for tasks like image recognition and sequence modeling.
Apply natural language processing techniques to text analysis and generation.
Develop scalable AI algorithms and evaluate their performance using advanced metrics.

Curriculum Highlights

The 30-credit curriculum features core computer science requirements and a suite of specialized machine learning courses, including advanced topics in deep learning.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at major tech firms.

Admissions

A bachelor's degree in computer science, engineering, or a related field with strong programming skills and coursework in linear algebra, probability, and algorithms is required, along with a minimum GPA of 3.0.

Application Materials

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

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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