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Master of Applied Data Science

Program info

3 start dates:

  • Fall
  • Winter
  • Spring/Summer

Flexible program timeline:

1–3 years

Program location:

Online

Requirements:

  • Bachelor's degree or international equivalent
  • Basic proficiency in Python
  • English proficiency
  • No GRE

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Curriculum

Master the full data science life cycle while applying your skills to real-world challenges across industries.

Highlights of the curriculum

  • Python for data science and AI workflows
  • Data science ethics and data science for social good
  • Generative AI in business and society
  • Machine learning and natural language processing
  • Data visualization and communicating results
  • Sports analytics, health analytics and learning analytics

Optional concentrations

Time to degree

  • Full time (3 courses/month): 12 months with advanced placement; 16 months with standard placement
  • Part time (1-2 courses/month): 24-36 months

Build your portfolio

Apply your skills to projects that mirror a real-world workflow. You'll graduate with an end-to-end data science portfolio that shows employers what you can do.

MADS student Karl Haviland presents during the project fair.

Learn from leaders

Your courses are taught by U-M faculty — leaders in information science, computer science, AI and statistics — and by accomplished industry experts, ensuring the MADS degree is respected by employers and peers worldwide.

Students look over posters in a conference room

Alumni and peer network

You'll join a strong community of peers from around the globe, with a lively always-available Slack workspace and engaging group discussions. And you will graduate into U-M's network of nearly 700,000 alumni.

Students mingle in space 2435, a large event space

Advance your career

You'll have access to a team of career coaches who provide personalized guidance on navigating the job search or pursuing career advancement.

Next steps

Ready to see where MADS can take you? Learn more, apply and join us from anywhere.