Northwestern University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a quantitative field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or similar languages.

About This Program

A flexible online program that transitions students from traditional statistics to contemporary data-adaptive models utilizing machine learning and deep learning.

Career Outcomes

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

• 1. AI Data Scientist
• 2. Machine Learning Engineer
• 3. AI Solutions Architect
• 4. Data Analytics Specialist

What You'll Learn

• Build and deploy machine learning models for predictive analytics.
• Apply deep learning techniques to image recognition and natural language processing.
• Develop generative AI solutions using large language models.
• Design data pipelines for scalable AI applications.

Curriculum Highlights

The online curriculum covers database systems, decision analytics, AI-assisted programming, and ethical data governance.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and IBM, along with consulting firms and healthcare organizations applying AI in data science.

Admissions

A bachelor's degree in a quantitative field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and programming experience in Python or similar languages.

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+)