Request More Info

Loading...

MScA Course Schedule

Classes are held on weekday evenings and Saturday mornings. Additionally, select classes will be available to full-time students during the day on weekdays.

All classes are taught at the University of Chicago Gleacher Center in downtown Chicago.

Admitted students can use the following tentative schedule of courses that will be offered from Spring Quarter 2017 through Winter Quarter 2018 for planning purposes.

 

Spring 2017

Monday Tuesday Wednesday Thursday Friday Saturday

Statistical Analysis

6–9 PM


Digital Marketing Analytics

6–9 PM


Linear & Nonlinear Models

6–9 PM


3/27–6/5

Statistical Analysis

1:30–4:30 PM


Data Mining Principles

6–9 PM


Programming for Analytics

6–9 PM


Deep Learning & Image Recognition

6–9 PM


3/28–6/6

Machine Learning and Predictive Analytics

1:30–4:30 PM


Machine Learning and Predictive Analytics

6–9 PM


Linear Algebra & Matrix Analysis

6–9 PM


Bayesian Methods

6–9 PM


Deep Learning & Image Recognition

6–9 PM


3/29–6/7

Time Series Analysis & Forecasting

1:30–4:30 PM


Database Design &Implementation

6–9 PM


Time Series Analysis and Forecasting

6–9 PM


3/30–6/8

Marketing Analytics

6–9 PM


Leadership Skills

6–9 PM


Big Data & Text Analytics

6–9 PM


Research Design for Business Applications

9 AM–12 PM


 

Database Design & Implementation

9 AM–12 PM


Big Data & Text Analytics

9 AM–12 PM


Statistical Analysis Review


4/1–6/10

Workshops and short courses (restricted to MScA students)

  • Introduction to Statistical Concepts (Bootcamp)
  • Hadoop Workshop
  • Linux Workshop
  • Python Workshop
  • R Workshop
  • SAS Workshop

 

Summer 2017


Monday Tuesday Wednesday Thursday Friday Saturday

Advanced Optimization

(short course)

6–9 PM


6/19–8/21

Statistical Analysis

6–9 PM


6/20–8/22

Health Analytics

6–9 PM


Linear and Non-Linear Models

6–9 PM


6/21–8/23

Time Series Analysis & Forecasting

6–9 PM


Financial Analytics

6–9 PM


Research Design for Business Applications

6–9 PM


6/21–8/23

Data Mining Principles

6–9 PM


Risk Analytics

6–9 PM


6/23–8/25

Machine Learning & Predictive Analytics

6–9 PM


Leadership Skills

9 AM–12 PM


Statistical Analysis Review


6/24–8/26

 

 

Autumn 2017

Monday Tuesday Wednesday Thursday Friday Saturday

Statistical Analysis

6–9 PM


Optimization & Simulation Methods

6–9 PM


9/25–12/4

Data Mining Principles

6–9 PM


Programming for Analytics

6–9 PM


9/26–12/5

Machine Learning and Predictive Analytics

6–9 PM


Linear Algebra & Matrix Analysis

6–9 PM


Bayesian Methods

6–9 PM


9/27–12/6

Database Design and Implementation

6–9 PM


Time Series Analysis and Forecasting

6–9 PM


Real Time Analytics

6–9 PM


Research Design for Business Applications

6–9 PM


Programming for Analytics

6–9 PM


9/28–12/7

Marketing Analytics

6-9 PM


Advanced Python for Streaming Analytics

6–9 PM


9/29–12/8

Leadership Skills

9 AM–12 PM


Linear and Nonlinear Models

9 AM–12 PM


Big Data and Text Analyitcs

9 AM–12 PM


Statistical Analysis Review

1:30–3:30 PM


Advanced Machine Learning

9 AM–12 PM


9/30–12/9

Workshops and short courses (restricted to MScA students)

  • Introduction to Statistical Concepts (Bootcamp)
  • Hadoop Workshop
  • Linux Workshop
  • Python Workshop
  • R Workshop
  • SAS Workshop

 

Winter 2018

Monday Tuesday Wednesday Thursday Friday Saturday

Advanced Python for Streaming Analytics

6–9 PM


Statistical Analysis

6–9 PM


1/3–3/12

Linear and Non-Linear Models

1:30–4:30 PM


1/4–3/13

Machine Learning & Predictive Analytics

6–9 PM


Optimization & Simulation Methods

6–9 PM


1/5–3/14

Time Series Analysis & Forecasting

6–9 PM


Financial Analytics

6–9 PM


Research Design for Business Applications

6–9 PM


1/6–3/15

 

Data Mining Principles

6–9 PM


Leadership Skills

6–9 PM


Linear and Non-Linear Models

6–9 PM


Risk Analytics

6–9 PM


1/7–3/16

Data Visualization

9 AM–12 PM


Research Design for Business Applications

9 AM–12 PM


Statistical Analysis Review


1/8–3/17