Curriculum

For students admitted to the program in Fall 2018

The program consists of 30-semester units with 10 required courses.   
Each course is 3-semester units.

Required Lecture Courses (8 courses, 24 units)
BUS 235C     Data Mining
BUS 243       Database Management
CMPE 256     Large Scale Analytics
CMPE 257     Machine Learning
DATA 294     Data Analytics Seminar
DATA 296     Special Topics in Data Analytics: Mathematical Methods 
INFO 208     Big Data Technologies
INFO 215     Information Visualization

Required Project Courses (2 courses, 6 units)
DATA298A   Data Analytics Master's Project I
DATA298B   Data Analytics Master's Project II

Elective Courses
There are no elective courses for the first offering but additional courses could be added later.

Optional Course (1 course, 1 unit)
DATA 297      Data Analytics Internship
Not required toward the degree; repeatable for Curricular Practical Training

 

For students admitted to the program in Fall 2019

The program consists of 30-semester units with 6 core, 2 elective and 2 culmulating experience courses. Each course is 3-semester units.

Core Courses (6 courses, 18 units)
BUS 235C     Data Mining
or CMPE 255 Data Mining
BUS 243       Database Management
CMPE 257     Machine Learning
DATA 294     Data Analytics Seminar
DATA 220     Mathematical Methods for Data Analytics
INFO 215     Information Visualization

Elective Courses (2 courses, 6 units)                                                                          Six units 200-level elective courses selected in consultation with the graduate advisor

Culminating Experience Courses (2 courses, 6 units)
Complete one plan from

Plan A (Thesis)
DATA 299A    Data Analytics Masters Thesis I
DATA 299B    Data Analytics Masters Thesis II 

Plan B (Project)
DATA 298A    Data Analytics Masters Project I
DATA 298B    Data Analytics Masters Project II