埃默里大学商业分析课程设置：
THE 10-MONTH PROGRAM PROVIDES RIGOROUS TRAINING IN TOPICS SUCH AS:
• Data Mining
• Machine Learning
• Econometrics
• Relational an Nosql Databases
• Text Mining
• Data Visualization
• Decision Theory
• Consumer an Human Behavior
PREREQUISITES
ADVANCED CALCULUS^ PROGRAMMING LANGUAGE
STATISTICS
SUMMER II (0 CREDITS)
LINEAR/MATRIX ALGEBRA^ DATABASES & SQL
ISOM 660: MATH BOOTCAMP
ISOM 662: BUSINESS BOOTCAMP
PRE-FALL TERM (2 CREDITS)
ISOM 661: TECHNOLOGY BOOTCAMP
FALL SEMESTER (14 CREDITS)
ISOM 670: BUSINESS STATISTICS#
ISOM 672: INTRO TO BUSINESS ANALYTICS*
ISOM 673:
SOCIAL NETWORK ANALYTICS*
ISOM 674: MACHINE LEARNING I
ISOM 675: DATA VISUALIZATION
SPRING SEMESTER (15 CREDITS)
ISOM 677: DECISION ANALYTICS & OPTIMIZATION#
ISOM 671: MANAGING BIG DATA*
ISOM 676: MACHINE LEARNING II
ISOM 689: CAPSTONE/EXPERIENTIAL LEARNING
[ELECTIVE 1]
2-creit course Bootcamp is 0-creit course
- 3-creit course taught in intense format All other courses are 3 creits each ^ Grae of B or higher
