Data Science, MS Analytics Management Specialization

As the strategic and tactical decisions of organizations become increasingly data-driven, analytics managers bridge the work of analysts and modelers with business operations and strategy to lead data science teams, address future business needs, identify business opportunities, and translate the work of data scientists into language that business management understands. This specialization equips data scientists with the communication and management strategies needed to be data-driven leaders who utilize models, analyses, and statistical data to improve business performance.

Note: Students in this specialization are required to take both MSDS 475-DL Project Management and MSDS 480-DL Business Leadership and Communications to complete the program.  Whichever one was not taken to fulfill the core requirement should be taken to fulfill the specialization requirement.

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
MSDS 498-DLCapstone Class
or MSDS 590-DL Thesis Research

Specialization Courses (4 units)

Course Title
MSDS 474-DLAccounting and Finance for Analytics Managers
MSDS 475-DLProject Management 2
or MSDS 480-DL Business Leadership and Communications
Any two electives
Supervised Learning Methods
Unsupervised Learning Methods
Times Series Analysis and Forecasting
Python for Data Analysis
Foundations for Data Engineering
Analytics Application Engineering
Analytics Systems Engineering
Real-Time Interactive 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
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