PhD in Network Management

One Choice, Infinite Horizons

Program Overview

The Network Management program at Brookwood University is tailored for those who aspire to become network architects, administrators, or cybersecurity specialists. Our curriculum covers the intricacies of network design, configuration, and security. Students gain a deep understanding of routing, switching, and firewall management, ensuring they are well-prepared to safeguard and optimize network infrastructures in an ever-connected world.

Courses offered in PhD Degree in NETWORK MANAGEMENT

Module 1

  • Course Name

  • Credit Hours

  • Qualitative and Quantitative Research

    The course presents a comprehensive and balanced introduction to both qualitative and quantitative approaches to social research with an emphasis on the benefits of combining various approaches.

  • 6 Credits

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  • Preparing a Thesis

    This course combines the practical guidance and theoretical understanding students need to complete their theses or dissertations with maximum insight and minimum stress. The course offers useful strategies for each phase of the writing process, from choosing advisors and identifying topics through writing, revision, and review.

  • 6 Credits

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  • Econometrics

    Econometrics course reflects modern theory and practice, with interesting applications that motivates and matches up with the theory to ensure students grasp the relevance of econometrics. The course comprises real-world questions and data into the development of theory, with serious treatment of the substantive findings of the resulting empirical analysis.

  • 6 Credits

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Module 2
Module 3

Program Overview

  • Eligibility Criteria
    Min. Master's Degree

  • Credit Hours
    54 Hours

  • Courses Offered
    9

  • Course Duration
    3-5 Years (Self-Paced) Program

  • Estimated Fee
    $42,120

Technical Foundation And Programming Proficiency:

The College of Computer Science is designed to establish a strong technical foundation and proficiency in programming. Students start by building a solid understanding of computer science fundamentals and gain hands-on experience in coding and software development. This technical base prepares students for a successful career in the ever-evolving world of technology.

Industry Connections And Tech Community Involvement:

Beyond the classroom, our Computer Sciences program places a significant emphasis on fostering industry connections and involvement in the tech community. Students have opportunities to participate in hackathons, tech conferences, and internships with leading tech companies. These experiences not only enhance their technical skills but also provide valuable insights into the tech industry.

Global Tech Innovation And Collaborations:

The College of Computer Science at Brookwood University is committed to fostering global tech innovation and promoting collaborative ventures. Our curriculum incorporates international perspectives in technology and encourages students to work on projects with global reach. Additionally, we offer study abroad programs and collaborate with tech professionals from around the world, enabling students to gain a global perspective on computer sciences.

Qualitative and Quantitative Research

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    The process of conducting research
    Quantitative and qualitative approaches
    Identifying a research problem
    Reviewing the literature
  In Section 2 of this course you will cover these topics:
    Specifying a purpose and research questions or hypotheses
    Collecting quantitative data
  In Section 3 of this exam you will be evaluated on below listed topics:
    Analyzing and interpreting quantitative data
    Collecting qualitative data
  In Section 4 of this course you will cover these topics:
    Analyzing and interpreting qualitative data
    Reporting and evaluating research
    Experimental designs
  In Section 5 of this course you will cover these topics:
    Correlational designs
    Survey designs
    Grounded theory designs
    Ethnographic designs
    Narrative research designs
    Mixed methods designs
    Action research designs

Preparing a Thesis

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    The research process.
  In Section 2 of this course you will cover these topics:
    Citing sources and academic honesty.
  In Section 3 of this exam you will be evaluated on below listed topics:
    Direct quotations.
  In Section 4 of this course you will cover these topics:
    Works cited and references.
  In Section 5 of this course you will cover these topics:
    Writing with precision.

Econometrics

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Economic questions and data
    Review of probability
    Review of statistics
  In Section 2 of this course you will cover these topics:
    Linear regression with one regressor
    Regression with a single regressor: hypothesis tests and confidence intervals
    Linear regression with multiple regressors
  In Section 3 of this exam you will be evaluated on below listed topics:
    Hypothesis tests and confidence intervals in multiple regression
    Nonlinear regression functions
    Assessing studies based on multiple regression
  In Section 4 of this course you will cover these topics:
    Regression with panel data
    Regression with a binary dependent variable
    Instrumental variables regression
  In Section 5 of this course you will cover these topics:
    Experiments and quasi-experiments
    Introduction to time series regression and forecasting
    Estimation of dynamic causal effects
    Additional topics in time series regression
    The theory of linear regression with one regressor
    The theory of multiple regression
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Course Details