Typical admitted student: Applicants need a bachelor's degree with a minimum GPA of 3.0, preferably in a quantitative field like statistics, math, or computer science, along with prerequisites in calculus, linear algebra, and programming.

About This Program

This one-year professional program provides students with a solid foundation in theoretical statistics and practical data analysis through a real-world, large-scale data science project.

Career Outcomes

Position as Data Scientist in Cross-Industry AI with database management expertise

1. Data Scientist
2. Applied Statistician
3. Data Analyst
4. Machine Learning Engineer

What You'll Learn

Advanced statistical modeling and regression analysis for data interpretation
Machine learning techniques for predictive analytics and pattern recognition
Data management using databases, SQL, and big data tools
Real-world data processing, cleaning, and visualization for decision-making

Curriculum Highlights

The curriculum features a core in linear models and probability, specialized tracks in Statistical Analysis or Data Science, and a mandatory two-semester data analysis project.

Top Employers

Top employers include tech firms like Google, Amazon, and Microsoft, as well as finance companies, consulting firms, and research organizations.

Admissions

Applicants need a bachelor's degree with a minimum GPA of 3.0, preferably in a quantitative field like statistics, math, or computer science, along with prerequisites in calculus, linear algebra, and programming.

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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