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Master of Science in Analytics

Course Schedule for Master of Science in Analytics

Upcoming Events and Deadlines

Spring 2020 Application Deadline:

  • International
  • Domestic Full-time for Early Decision
  • Part-time for Early Decision

Spring 2020 Application Deadline

  • Domestic Full-Time
  • Part-time for Early Decision

Example MSc in Analytics Course Schedule.

Please do not use this for planning purposes.

View the University of Chicago Academic Calendar for current course offerings.

View the Analytics Curriculum

Please note, Introduction to Statistical Concepts: Statistics Bootcamp starts one month prior to the first day of your start quarter.

Autumn

Monday


6:00–9:00pm | Statistical Analysis 31007

6:00–9:00pm | Leadership Skills: Teams, Strategies, and Communication 31003

6:00–9:00pm | Big Data Platforms 31013

Tuesday


6:00–9:00pm | Data Mining Principles 31008

6:00–9:00pm | Programming for Analytics 37010

6:00–9:00pm | Data Engineering Platforms for Analytics 31012

Wednesday


1:30–4:30pm | Linear Algebra & Matrix Analysis 32010

6:00–9:00pm | Machine Learning & Predictive Analytics 31009

6:00–9:00pm | Linear Algebra & Matrix Analysis 32010

6:00–9:00pm | Bayesian Methods 32014

Thursday


6:00–9:00pm | Research Design for Business Applications 31001

6:00–9:00pm | Time Series Analysis & Forecasting 31006

6:00–9:00pm | Real Time Analytics 32005

6:00–9:00pm | Programming for Analytics 37010

Friday


1:30–3:30pm | Statistical Analysis 31007

6:00–9:00pm | Marketing Analytics 32003

6:00–9:00pm | Leadership Skills: Teams, Strategies, and Communication 31003

Saturday


9:00am–noon | Linear and Non-Linear Models for Business Applications 31010

9:00am–noon | Advanced Python for Streaming Analytics 32016

9:00am–noon | Leadership Skills: Teams, Strategies, and Communication 31003

9:00am–noon | Advanced Machine Learning and Artificial Intelligence 32017

Winter

Monday


6:00–9:00pm | Statistical Analysis 31007

6:00–9:00pm | Health Analytics 32009

Tuesday


1:30–4:30pm | Linear and Non-Linear Models for Business Applications 31010

6:00–9:00pm | Digital Marketing Analysis in Theory and Practice 32015

Wednesday


6:00–9:00pm | Optimization & Simulation Methods 32013

6:00–9:00pm | Machine Learning & Predictive Analytics 31009

Thursday


6:00–9:00pm | Research Design for Business Applications 31001

6:00–9:00pm | Time Series Analysis & Forecasting 31006

6:00–9:00pm | Financial Analytics 32001

6:00–9:00pm | Data Mining Principles 31008

Friday


6:00–9:00pm | Data Mining Principles 31008

6:00–9:00pm | Leadership Skills: Teams, Strategies, and Communication 31003

Saturday


9:00am–noon | Data Visualization Techniques 32007

9:00am–noon | Natural Language Processing and Cognitive Computing 32018

9:00am–noon | Big Data Platforms 31013

Spring

Monday


6:00–9:00pm | Statistical Analysis 31007

6:00–9:00pm | Linear and Non-Linear Models for Business Applications 31010

Tuesday


1:30–4:30pm | Statistical Analysis 31007

6:00–9:00pm | Data Mining Principles 31008

6:00–9:00pm | Programming for Analytics 37010

Wednesday


1:30–4:30pm | Machine Learning & Predictive Analytics 31009

6:00–9:00pm | Linear Algebra & Matrix Analysis 32010

6:00–9:00pm | Bayesian Methods 32014

Thursday


1:30–4:30pm | Time Series Analysis & Forecasting 31006

6:00–9:00pm | Data Engineering Platforms for Analytics 31012

6:00–9:00pm | Time Series Analysis & Forecasting 31006

Friday


6:00–9:00pm | Marketing Analytics 32003

6:00–9:00pm | Leadership Skills: Teams, Strategies, and Communication 31003

6:00–9:00pm | Real Time Analytics 32005

6:00–9:00pm | Advanced Machine Learning and Artificial Intelligence 32017

Saturday


9:00am–noon | Advanced Python for Streaming Analytics 32016

9:00am–noon | Big Data Platforms 31013

Summer

Monday


6:00–9:00pm | Optimization & Simulation Methods 32013

Tuesday


6:00–9:00pm | Statistical Analysis 31007

Wednesday


6:00–9:00pm | Linear and Non-Linear Models for Business Applications 31010

6:00–9:00pm | Health Analytics 32009

Thursday


6:00–9:00pm | Research Design for Business Applications 31001

6:00–9:00pm | Time Series Analysis & Forecasting 31006

6:00–9:00pm | Financial Analytics 32001

Friday


6:00–9:00pm | Data Mining Principles 31008

6:00–9:00pm | Machine Learning & Predictive Analytics 31009

6:00–9:00pm | Credit and Insurance Risk Analytics 32004

Saturday


9:00am–noon | Leadership Skills: Teams, Strategies, and Communication 31003

Current Students: Refer to the schedule in the MSCA Resource Center