George Mason University

Fairfax, Virginia, United States

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Civil, Environmental and Infrastructure

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Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering at George Mason University offers professional and promising education in the sphere of sustainable infrastructure. The quality of academics is evident from its expert faculty which trains the students to question and experiment with the existing systems and come up with a foolproof solution to the challenges in the domain of Civil, Environmental and Infrastructure Engineering.

It offers BS, MS, and Ph.D. programs. The Master of Science in Civil and Infrastructure Engineering program is of total 30 credits wherein the students must specialize in one of the five areas of concentration which are:

  • list items Construction Engineering and Management
  • list items Environmental and Water Resource
  • list items Geotechnical
  • list items Structural
  • list items Transportation Engineering
  • The students are required to present a Plan of Study which needs to be faculty-approved consisting of a minimum of 30 graduate credits. This includes two core courses in Infrastructure Modeling and Risk and Uncertainty in Civil Engineering. The degree requirements for the MS degree vary as per the concentration is chosen by the student, but each student needs to attend a minimum of five graduate seminars.

    Students can also choose to gain research credits through a thesis or a project. The undergraduate program offers a number of provisions such as the opportunity to enroll in summer courses to gain a better understanding of civil engineering, a choice of their own applicable to the Honours program, and three undergraduate scholarships.

    Areas of Expertise:

  • list items Structural Engineering
  • list items Infrastructure Systems
  • list items Artificial Intelligence
  • list items Data Analytics
  • list items Environmental Engineering
  • list items Geotechnical Engineering
  • list items Sustainability
  • list items Computer Vision
  • list items Transportation Engineering
  • list items Computer Visioning
  • list items Water Resources Engineering
  • list items Construction Management
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    Computer Science

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    The Department of Computer Science at GMU offers BS, MS, and Ph.D. programs. All MS programs have a total of thirty credits equivalent to ten graduate courses. The courses in MS in Computer Science are divided into two categories - Basic and Advanced. The former does not require a graduate course as a prerequisite, while the latter does have a requirement for the same.

    It is mandatory for students to attend two courses, namely:

  • list items Mathematical Foundations of Computer Science
  • list items Computer Systems 
  • list items Fundamentals of Systems Programming
  • which they will later be tested upon.

    All the courses in the Computer Science program are reduced to five main areas which are :

  • list items Artificial Intelligence and Databases
  • list items Programming Languages and Software Engineering
  • list items Systems and Networks
  • list items Theoretical Computer Science and Visual Computing
  • The students have the liberty to choose one from the two concentration areas given to them which are Cyber Security (CYSC) and Machine Learning (ML). The students also have the option of swapping six credit hours of advanced classes with a thesis or a project which has to be approved by a minimum of three faculty members.

    It is mandatory for students in the MS in Information Systems program to attend basic core courses, namely :

  • list items Mathematical Foundations of Computer Science
  • list items Database Systems
  • list items Principles and Practices of Communication Networks
  • list items Information Systems Analysis and Design
  • list items Database Programming for the World Wide Web to understand the fundamentals of the program
  • Along with that, they must also select five courses out of six from a set of emphasis areas which are:

  • list items Database Management
  • list items Data Mining
  • list items Electronic Commerce
  • list items Software Engineering
  • list items Knowledge Management
  • list items Information Security and Assurance
  • They have the same option and requirements for thesis as Computer Science.

    Area of Expertise:

  • list items Software Engineering
  • list items Data Mining and Analytics
  • list items Bioinformatics
  • list items Artificial Intelligence and Robotics
  • list items Parallel and Distributed Systems
  • list items Computer Vision
  • list items Computer Graphics
  • list items Systems and Networks
  • list items Algorithms and Theory of Computation
  • list items Cyber-security.
  • List of Labs:

  • list items Assurance Research & Engineering
  • list items Configuration Analytics and Automation
  • list items Secure Information Systems
  • list items Learning Agents Center
  • list items Command, Control, Communications, Computing, Intelligence and Cyber
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    Electrical and Computer Engineering

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    The Department of Electrical and Computer Engineering at GMU provides BS in Electrical Engineering and Computer Engineering, MS in Electrical and Computer Engineering, Computer Forensics, and Telecommunications and Ph.D. in Electrical and Computer Engineering. All the MS programs are a total of 30 credits. MS in Electrical Engineering extensively works towards producing engineers who are well informed in the algorithms of electrical science.

    The program covers some crucial areas as specializations such as :

  • list items Communications and Networking
  • list items Signal Processing
  • list items Controls and Robotics
  • list items Electronics
  • list items Space-Based Systems
  • list items Bioengineering
  • MS in Computer Engineering covers areas such as :

  • list items Computer Architecture and Embedded Systems
  • list items Internet of Things and Network Security
  • list items Hardware Security and Cryptographic Engineering
  • list items Computer Networks
  • list items Digital System Design
  • list items Digital Signal Processing
  • The thesis option for both of these programs is designed for students who are interested in pursuing a Ph.D. They must complete the Master’s thesis which is of six credits along with 24 hours of coursework. They must also attend a minimum of six graduate seminars. MS in Computer Forensics requires students to complete the degree with a GPA of 3.0 or higher and a grade not less than C in six credit hours.

     Its plan of study consists of core courses of 21 credit hours, a mandatory capstone course, and the choice of either a nine credit elective course or an area of concentration. The degree requirements for MS in Telecommunications include acquiring a B grade or higher in all the core courses and a C grade or higher in the remaining core courses of 6 credits.

    Areas of Expertise:

  • list items Adaptive Signal Processing
  • list items Digital Forensics
  • list items Detection
  • list items Estimation and Tracking
  • list items Nano-Electronics and Device Fabrication
  • list items Sonar and Array Signal Processing
  • list items Information Theory and Error Control Coding
  • list items Bioengineering Signal Analysis
  • list items Statistical Signal Processing
  • list items Electronics
  • list items Robotics
  • list items Communications
  • list items Electromagnetics
  • list items Cryptography
  • list items Digital Signal Processing
  • list items Pattern Recognition and Machine Learning
  • list items Image and Video Processing
  • list items VLSI and Embedded Systems
  • list items Wireless and Optical Communications
  • list items Green Computing and Computer Networks
  • list items Architectures.
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    Systems Engineering and Operations Research 

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    The Department of Systems Engineering and Operations Research is a domain for Systems Engineers, Operations Researchers, and Data Analysts. The department offers BS, MS, accelerated MS, Ph.D., and Graduate Certificates. MS in Operations Research guides students to be proficient in the features such as mathematical programming, queueing and network theories, applied and computational probability, and computer simulation and modeling.

    The program requires a total of 30 credits. 15 credits are allocated to courses which are :

  • list items Operations Research:
    • Deterministic Models
    • Operations Research
    • Stochastic Models
    • Applied Predictive Analytics, and Discrete System Simulation
  • list items Deterministic Models
  • list items Operations Research
  • list items Stochastic Models
  • list items Applied Predictive Analytics, and Discrete System Simulation
  • or a project, and the rest fifteen are distributed among electives chosen from any one of the five concentration areas which are :

  • list items Data Analytics (DNIC)
  • list items Decision Analysis (DA)
  • list items Financial Engineering (FNNE)
  • list items Military Operations Research (MOR)
  • list items Optimization (OPT)
  • list items Stochastic Models (STM) or an individual plan authorized by the graduate advisor.
  • MS in Systems Engineering is a thirty to thirty-three credit hours course consisting of five core courses, namely, Systems Engineering Principles, Systems Definition and Cost Modeling; System Engineering Design; Systems Engineering Management I; and System Methodology and Modeling, three concentration courses, an elective, and a project on systems engineering.

    MS in Data Analytics Engineering is a course of 30 credits wherein the core courses are :

  • list items Analytics:
    • Big Data to Information
    • Principles of Data Management and Mining or Theory and Applications of Data Mining
    • Data Analytics Project
    • Analytics and Decision Analysis or Operations Research
    • Deterministic Models
    • Applied Statistics and Visualization for Analytics  or Applied Statistics
  • list items Big Data to Information
  • list items Principles of Data Management and Mining or Theory and Applications of Data Mining
  • list items Data Analytics Project
  • list items Analytics and Decision Analysis or Operations Research
  • list items Deterministic Models
  • list items Applied Statistics and Visualization for Analytics  or Applied Statistics
  • . The department entails a list of career possibilities such as data scientist, analytics expert, government analyst, policy analyst, supply-chain manager, systems analyst to name a few. 

    List of Labs: Air Transportation Systems Research

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    Information Technology

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    The Department of Information Sciences and Technology at GMU provides BS, MS, Ph.D. degrees and a number of certificate and concentration choices. MS in Applied Information Technology recognizes the growing need for experts in the areas of Cyber Security, Big Data Analytics, Knowledge Mining, Data Analytics in Social Media, and Cyber-Human Interaction.

    The faculty of the department does not limit learning within a theoretical frame but encourages the students to tackle the pragmatic challenges faced in the IT field. It’s a 30 to 36 credit hour course. All students are required to complete a minimum of four core courses in addition to which the students must choose one out of four areas of concentration which includes six courses.

    MS in Data Analytics Engineering is not only restricted to data analysis but expands and covers a myriad of sectors such as data visualization, statistical models, optimization, risk analysis among many others. It’s a course of a total of 30 credit hours inclusive of core subjects and areas of concentration.

    Areas of Expertise:

  • list items Web Science
  • list items Big Data
  • list items Entrepreneurship and Innovation
  • list items Artificial Intelligence
  • list items Human-Centered Design
  • list items Data for Social Good
  • list items Data Analytics
  • list items Information Science
  • list items Information Science and Technology Education
  • list items Information Security and Assurance
  • list items Mobile Communications
  • list items Intelligent Agents
  • list items Personalized Learning
  • list items Educational Data Mining
  • list items Machine Learning
  • list items Learning Analytics
  • list items Social Informatics
  • list items Wearable Technologies
  • list items Semantic Web
  • list items Social Networks Systems and Security
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    Mechanical 

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    The Department of Mechanical Engineering forms a part of the larger ambit of engineering disciplines in the college. The department narrows it down to two focal points within this wide field of study, namely, thermal fluid systems and mechanical systems.

    It offers a BS and a Minor in Mechanical Engineering. The BS program is of 121 credit hours touching on courses such as

  • list items Engineering
  • list items Mathematics
  • list items Science
  • list items Communications and Economics
  • list items Additional Mason Core
  • list items Writing Intensive Requirement
  • list items Capstone Experience Requirement
  • While Minor in Mechanical Engineering is a 20-21 credit hours course with core subjects in Introduction to Engineering or Practicum in Engineering, Statics, Solid Mechanics, Thermodynamics and Dynamics and two elective courses.

    Areas of Expertise:

  • list items Composite Structure Mechanics
  • list items Variational Methods in Mechanics
  • list items Sustainable Energy Systems
  • list items Fluid Mechanics
  • list items Heat Transfer
  • list items Dynamical Systems