Northwestern University

How this program compares

At an estimated $63.6K in total tuition, the Accelerated MS in Data Science (AI) sits about 50% above the $42.4K average for AI master's programs in our database — placing it in the 79th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree from an accredited institution with a minimum GPA of 3.0 and demonstrate foundational knowledge in mathematics, statistics, or computer science. GMAT/GRE scores may be required or recommended depending on academic background.

About This Program

A full-time, one-year master’s program designed to build essential analysis and leadership skills through a blend of on-campus and online instruction. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $63.6K, above the $42.4K average for AI master's programs in our database and in the 79th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Data Scientist in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $115,000.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with deep learning expertise

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

What You'll Learn

• Design, train, and evaluate machine learning models and deep learning architectures for complex data problems
• Develop AI strategies, governance frameworks, and compliance solutions aligned with organizational goals
• Apply natural language processing, computer vision, and generative AI techniques to real-world industry applications
• Translate business problems into analytical solutions and communicate findings to technical and non-technical stakeholders

Curriculum Highlights

The accelerated format includes eight core courses, two specialization courses in AI, and a final capstone project.

Top Employers

Top employers for AI and data science graduates include tech leaders like Google, Amazon, Meta, and IBM, as well as financial institutions, healthcare organizations, and government agencies investing heavily in AI capabilities.[1][2

Admissions

Applicants must hold a bachelor's degree from an accredited institution with a minimum GPA of 3.0 and demonstrate foundational knowledge in mathematics, statistics, or computer science. GMAT/GRE scores may be required or recommended depending on academic background.

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: Recommended or Required (varies by program track)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)