Got Data?

Data Science

Learn to combine data with algorithm building and technology to answer a wide range of questions. Coding is used widely. Data scientists are required to have a blend of math, statistics, and computer science, as well as an interest in—and knowledge of—the business world.

Coursework examples include:

• Exploratory Data Analysis and Visualization
• Data Mining
• Computer Algorithms and Analysis
• Python for Data Science
• Big Data Analytics Advanced Algorithms for Data Science

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Social Research and Analysis

This interdisciplinary program trains you to use qualitative and quantitative data to develop evidence-based solutions to problems. You’ll learn primary and secondary data analysis, such as engaging in survey research, interviews and focus groups, data and text mining, and analyzing data.

Coursework examples include:

• Research Project Management
• Data and Text Mining for Social Research
• Leadership and Collaborative Innovation
• Data Analytics and Visualization
• Poverty and Social Welfare Policy in the United States

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Business Analytics

Utilize statistical concepts in and across databases to uncover insights from business data. Learn how to solve business-related problems in businesses of all types. Coding and data visualization are key components.

Coursework examples include:

• Enterprise Architecture and Data Management Decision Analysis and Optimization
• Advanced Business Analytics
• Pricing Analytics and Revenue Management
• Big Data Analytics
• Applied Statistics for Business Analytics

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Statistics

Applied statistics focuses on managing, preparing, and analyzing data for use in business, research and other organizations to not only infer information but be able to make actionable predictions. The master’s program is ideal for those interested in ensuring the accuracy, statistical relevance and appropriate application of data to  a wide variety of problems in this rapidly growing field.

Coursework examples include:

• Fundamentals of Statistics
• Statistical Computing
• Statistical Theory
• Design and Analysis of Experiments
• Regression Methods

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Applied Math

Develop skills that allow you to leverage mathematics,  modeling, and computation to solve real-world challenges. Graduates with an applied mathematics degree enjoy employment across all  scientific, engineering, business, or government environments, in venues ranging from academic institutions and research institutes, aerospace and transportation equipment manufacturers or service providers, analytics and forecasting organizations, chemical or pharmaceutical manufacturers, communications services providers, computer information and software firms, and more.

Coursework examples include:

• Scientific and Numerical Computing
• Applied Linear Algebra
• Data-Driven Modeling and Computation
• Applied Probability and Stochastic Processes
• Scientific and Numerical Computing
• Methods of Applied Mathematics
• Applied Differential Equations

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Computational Linguistics

In this interdisciplinary program, you’ll learn to help machines process human language and linguists understand language through computer models. Computational Linguistics is the most commercially viable branch of linguistics with hundreds of companies in the US working on computational linguistics or Natural Language Processing (NLP), a related field building language processing applications. Jobs include: computational linguists, social analysts, knowledge engineers, search product analysts, language engineers, technical linguists, voice user interface designers, and ontology engineers, among others.

Coursework examples include:

• Syntax
• Semantics and Pragmatics
• Phonetics and Phonology
• Computational Linguistics
• Current Issues in Natural Language Processing
• Text Analysis Tools
• Python Programming
• Machine Learning

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Cybersecurity

Work on cutting-edge research projects and get trained on a broad range of security-related topics with hands-on experiences that will prepare you to be part of the next generation cybersecurity workforce, using a flexible curriculum taught by PhD-level cybersecurity experts. You’ll be set on a path for employment in careers such as computer security, network security, risk management, compliance, IT auditing, forensic computer analyst, information security analyst, and security architect, engineer or systems administrator.

Coursework examples include:

• Computer Networks Operating Systems
• Computer Security
• Information Security Management
• Cryptography
• Principles of Secure Programming
• Network Security
• Web Security
• Computer Forensics

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Computer Science

Focus your studies on efficiently programming computers using mathematical algorithms as you prepare for a career as a software developer, web developer or software engineer.

Coursework examples include:

• Software Engineering
• Computer Architecture
• Computer Algorithms and Analysis
• Research Methods in Computing

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Information Technology

Learn how to install, organize and maintain computer systems as well as design and operate networks and databases, as you work to become a computer user support specialist, IT project manager, or network and/or computer systems administrator.

Coursework examples include:

• Human-Computer Interaction
• Web Development Computer Networks
• Database Systems
• Computer Security
• Applied IT Concentration: 
  • Presentation Skills for Business Cyberlaw, or:
  • Intellectual Property: Copyright, Licensing, and Advertising
  • Information Technology Project Management

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