Typical admitted student: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, and calculus is generally required or strongly recommended.

About This Program

This master’s program offers advanced training in computer science and software engineering with a specialized focus on artificial intelligence.

Career Outcomes

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

1. Machine Learning Engineer
2. Data Scientist
3. AI Solutions Architect
4. MLOps Engineer

What You'll Learn

Design, train, and evaluate machine learning models for classification, regression, and clustering tasks
Develop and deploy deep learning systems including neural networks, computer vision, and generative AI applications
Apply advanced data analytics techniques to extract insights from large, complex datasets
Lead AI projects from conception through production deployment, including ethical considerations and model governance

Top Employers

Top employers in AI and data science include Microsoft, Google, Amazon, IBM, Meta, and major financial institutions like JPMorgan Chase and Goldman Sachs.

Admissions

Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, and calculus is generally required or strongly recommended.

Application Materials

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

Academic Requirements

Degree Required: Master of Science (MS)
GRE/GMAT: Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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