Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative background. GRE is typically optional or not required for MS Data Science programs.

About This Program

This program equips students with advanced skills in machine learning and statistics to solve real-world problems and extract actionable knowledge from data.

Career Outcomes

Excel as Data Scientist in Cross-Industry AI with foundations of programming expertise

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

What You'll Learn

Design and implement machine learning models for predictive analytics.
Analyze large datasets using statistical methods and big data tools.
Apply deep learning techniques to complex data problems.
Develop data visualization and communication strategies for insights.

Curriculum Highlights

The 36-hour curriculum includes core requirements like foundations of programming and data mining, alongside advanced topics such as cloud computing and computer vision.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and financial firms with data analytics needs.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative background. GRE is typically optional or not required for MS Data Science programs.

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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