Typical admitted student: A bachelor's degree from an accredited institution with a strong quantitative background in statistics, programming, or related fields is required; relevant work experience is preferred for this professional master's program.

About This Program

This online professional degree prepares data science leaders to retrieve, clean, and analyze complex datasets to drive strategic organizational decision-making.

Career Outcomes

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

1. Data Scientist
2. Machine Learning Engineer
3. Data Engineer
4. Analytics Manager

What You'll Learn

Design research studies and clean large-scale datasets for analysis.
Engineer data pipelines and apply machine learning models to extract insights.
Visualize complex data and communicate findings effectively.
Address ethical, privacy, and policy issues in data science applications.

Curriculum Highlights

The multidisciplinary curriculum covers data engineering, research design, and AI, including an on-campus immersion and a hands-on synthetic capstone course.

Top Employers

Top employers include tech giants like Google, Amazon, Meta, and Microsoft, along with data-driven firms in finance, healthcare, and consulting.

Admissions

A bachelor's degree from an accredited institution with a strong quantitative background in statistics, programming, or related fields is required; relevant work experience is preferred for this professional master's program.

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

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