IL

Master's in DS/DA
Hybrid

Northwestern University | Accelerated MS in Data Science (AI)

  • Evanston


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.

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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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The Accelerated Master of Science in Data Science (MSDS) β€” Artificial Intelligence is a 12-month, graduate-level program combining machine learning, AI strategy, and practical data science with a capstone project applying AI solutions to real-world industry and government challenges.[1
Typical Course Topics
1. Machine Learning and Deep Learning 2. Natural Language Processing (NLP) 3. AI Strategy and Governance 4. Data Mining and Advanced Analytics 5. Ethical AI and Responsible AI Development 6. Generative AI and Agentic Technologies
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Recommended or Required (varies by program track)
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

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

Estimated Industry Salary
Machine Learning Engineer: $125,000 Data Scientist: $120,000 AI Strategy Consultant: $130,000 Data Analytics Manager: $115,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Strategy Consultant 3. Data Scientist 4. AI Product Manager
Top AI Employers (Industry-Wide):
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
Program Details
Duration
  • 1 Year
Tuition
$ 63,600
Format
Hybrid
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources