Typical admitted student: A bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics.

About This Program

This intensive one-year, on-campus program integrates data science and artificial intelligence to prepare students for high-level technical careers.

Career Outcomes

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

1. Data Scientist
2. Machine Learning Engineer
3. AI Researcher
4. Data Analyst

What You'll Learn

Develop and deploy machine learning models for predictive analytics.
Design deep learning architectures for complex pattern recognition.
Process and analyze large-scale datasets using big data technologies.
Build AI systems for real-world applications in diverse industries.

Curriculum Highlights

The curriculum includes linear regression, machine learning, deep learning, distributed computing, and a nine-month hands-on practicum with external industry partners.

Top Employers

Top employers include Meta, Google, Amazon, and industry leaders like Block Inc., BlackRock, and AWS.

Admissions

A bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics.

Application Materials

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

Academic Requirements

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

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