Got Data?

Data Programs

A comparison of Montclair State master’s programs that focus on the use of data across a wide range of forms.

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE

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

LEARN MORE