Syracuse 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 related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with quantitative background and programming experience.

About This Program

This online program blends technical data science skills with business insights to help professionals transform data into actionable strategic intelligence.

Career Outcomes

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. Data Scientist
• 2. AI/ML Engineer
• 3. Data Analyst
• 4. AI Consultant

What You'll Learn

• Develop and deploy machine learning models for real-world data problems.
• Apply AI techniques including deep learning and NLP to large datasets.
• Analyze and visualize complex data using Python and R.
• Design ethical AI solutions with governance and bias mitigation.

Curriculum Highlights

Core coursework includes data administration, quantitative reasoning, and applied machine learning, with elective options in natural language processing and deep learning.

Top Employers

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

Admissions

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

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+)