Master of Science in Data Science and Analytics

Program Overview

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Take the next step in your career in the rapidly growing field of data science and analytics. Our Master of Science in Data Science and Analytics is a flexible, online program structured around your unique needs as a busy, working adult learner.

As organizations increasingly rely on large amounts of data to drive strategic business decisions, there is a growing demand for professionals in nearly every industry with the skills to make an impact in a data-driven world. Equip yourself with graduate-level theoretical knowledge, applied skills and the ability to derive value from data in real-world decision-making.

Once completed, you may also earn a Graduate Certificate in Data Analytics.

NOTE: This degree program, including all required course work, is not eligible for federal financial aid.

Credit Distribution

I. Core Courses (24 Credits)

Select one of the following

DSI-5050	Programming 1: Python	3
DSI-5060	Programming 1: R	3

Select one of the following

DSI-5070	Programming 2: Python	3
DSI-5080	Programming 2: R	3

Required

DSI-5300

SQL - Introduction to Database Queries

3

Select one of the following

DSI-6010	Predictive Analytics 1 - Machine Learning Tools - with Python	3
DSI-6040	Predictive Analytics 1 - Machine Learning Tools - with R	3

Select one of the following

DSI-6020	Predictive Analytics 2 - Neural Nets and Regression - with Python	3
DSI-6050	Predictive Analytics 2 - Neural Nets and Regression - with R	3

Select one of the following

DSI-6030	Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules - with Python	3
DSI-6060	Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules - with R	3

Required

DSI-6220	Interactive Data Visualization	3
DSI-7000	Applied Predictive Analytics	3

II. Electives (12 Credits) Select four from the following:

DSI-5090	Natural Language Processing I	3
DSI-5100	Forecasting Analytics	3
DSI-5110	Introduction to Network Analysis	3
DSI-6080	R Programming Intermediate	3
DSI-6100	Optimization - Linear Programming	3
DSI-6110	Natural Language Processing II	3
DSI-6130	Anomaly Detection	3
DSI-6140	Customer Analytics in R	3
DSI-6210	Integer and Nonlinear Programming and Network Flow	3
DSI-6250	Risk Simulation and Queuing	3
DSI-6400	Spatial Statistics with Geographic Information Systems	3

Total Credit Hours: 36

Learning Outcomes

Graduates of the Master of Science degree in Data Science and Analytics program will be able to:

• identify appropriate statistical and machine learning methods to gain value from data, especially Big Data, in different business and organizational contexts;
• use software or programming languages to develop statistical and machine learning models to gain insight from data and make predictions;
• interpret the results of statistical and machine learning models;
• apply software or programming languages to explore relationships in data, and prepare data for analysis; and
• specify the decisions (including automated decisions) that should result from the analytic methods.