Data Science, MS Data Engineering Specialization

After analysts and modelers have built and tested models, data engineers implement models to scale within an information infrastructure, creating systems and workflows to organize and manage large quantities of data. This means understanding computer systems (including software, hardware, data collection, and data processes) and solving problems related to data collection, security, and organization. This specialization trains data scientists to utilize system-wide problem-solving skills, choose hardware systems, and build software systems for implementing models made by data analysts to scale in productions systems.

Curriculum

Core Courses (8 units)

Course Title
MSDS 400-DLMath For Data Scientists
MSDS 401-DLApplied Statistics with R
MSDS 402-DLIntroduction to Data Science 1
or MSDS 403-DL Data Science in Practice
MSDS 420-DLDatabase Systems and Data Preparation
MSDS 422-DLPractical Machine Learning
MSDS 460-DLDecision Analytics
MSDS 475-DLProject Management
or MSDS 480-DL Business Leadership and Communications
or MSDS 485-DL Data Governance, Ethics, and Law
MSDS 498-DLCapstone Class
or MSDS 590-DL Thesis Research

Specialization Courses (4 units)

Course Title
MSDS 432-DLFoundations for Data Engineering
MSDS 434-DLAnalytics Application Engineering
Any two electives
Supervised Learning Methods
Unsupervised Learning Methods
Times Series Analysis and Forecasting
Python for Data Analysis
Analytics Systems Engineering
Real-Time Interactive Processing and Analytics
Real-Time Stream Processing and Analytics
Marketing Analytics
Financial and Risk Analytics
Web and Network Data Science
Natural Language Processing
Advanced Modeling Techniques
Data Visualization
Sports Performance Analytics
Sports Management Analytics
Artificial Intelligence and Deep Learning
Knowledge Engineering
Computer Vision
Intelligent Systems and Robotics
Analytics Entrepreneurship
Analytics Consulting
Accounting and Finance for Analytics Managers
Project Management
Data Governance, Ethics, and Law
Special Topics in Data Science
Independent Study

About the Final Project

As their final course in the program, students take either a master's thesis project in an independent study format or a classroom final project class in which students integrate the knowledge they have gained in the core curriculum in a team project approved by the instructor. In both cases, students are guided by faculty in exploring the body of knowledge of data science. The master’s thesis or capstone class project count as one unit of credit.

Course Title
Choose one
Capstone Class
Thesis Research