Duke University

How this program compares

At an estimated $87K in total tuition, the Online MEM – Data Analytics & ML (AI Option) sits about 105% above the $42.4K average for AI master's programs in our database — placing it in the 93rd percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in engineering, computer science, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, statistics, and calculus; work experience in data or tech roles is preferred but not mandatory.

About This Program

This program offers an engineering management degree with a specialized focus on data analytics and artificial intelligence for technical leaders. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $87K, above the $42.4K average for AI master's programs in our database and in the 93rd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Launch Product Analyst career in Business AI with machine learning focus Graduates frequently move into roles such as Product Analyst, with reported salaries around $130,000.

Career Outcomes

Launch Product Analyst career in Business AI with machine learning focus

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. AI Product Manager
• 4. Analytics Consultant

What You'll Learn

• Build and deploy machine learning models for data-driven decision-making.
• Apply deep learning techniques to complex datasets including images and text.
• Analyze large-scale data using advanced analytics and visualization tools.
• Develop AI solutions addressing real-world problems with ethical considerations.

Top Employers

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

Admissions

A bachelor's degree in engineering, computer science, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, statistics, and calculus; work experience in data or tech roles is preferred but not mandatory.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)