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

About This Program

This master's degree offers a state-of-the-art curriculum in AI and data science, focusing on the strategic application of knowledge across industries.

Career Outcomes

Thrive 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

Apply machine learning and statistical techniques to large datasets.
Build and deploy AI models for predictive analytics.
Clean, process, and visualize complex data structures.
Develop software systems integrating data science and AI solutions.

Curriculum Highlights

The program features courses in AI engineering, ethics and security, deep learning, and offers an optional concentration in scalable data engineering infrastructures.

Top Employers

Top employers include tech companies like Google, Amazon, Meta, and consulting firms such as Deloitte and Accenture.

Admissions

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

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
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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