Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 2.8-3.0 is required, along with GRE scores (minimum combined 291 Verbal/Quantitative) demonstrating aptitude in quantitative areas.

About This Program

This master's degree emphasizes the synergy between data science and artificial intelligence, training students to harness data for effective, evidence-based decision-making.

Career Outcomes

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

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

What You'll Learn

Develop and deploy machine learning models for predictive analytics.
Apply deep learning techniques to image recognition and natural language processing.
Analyze and visualize large-scale datasets using big data tools.
Design AI systems integrating algorithms, data processing, and ethical considerations.

Curriculum Highlights

The coursework includes advanced statistics, predictive modeling, and deep learning, featuring hands-on experience with industry-standard machine learning tools and massive datasets.

Top Employers

Graduates work at Fortune 500 companies like Boeing, Garmin, IBM, J.P. Morgan, Mastercard, and T-Mobile.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 2.8-3.0 is required, along with GRE scores (minimum combined 291 Verbal/Quantitative) demonstrating aptitude in quantitative areas.

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: Required
TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.0+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs