Doctorate in Visual Communication

One Choice, Infinite Horizons

Program Overview

  • Duration

    3-5 Years (Self-Paced) Program

    Can be done in 6 months

  • Total Courses

    09

  • Total Credit Hours

    54

Ohio City University's Visual Communication program offers students a comprehensive education that combines academic rigor with hands-on experience. Our expert faculty members create a supportive learning environment, equipping students with the knowledge, skills, and critical thinking abilities necessary for success in the dynamic field of visual communication. From graphic design to multimedia storytelling, our program empowers students to convey powerful messages and create engaging visual experiences.

CREATIVE FOUNDATION AND SKILL DEVELOPMENT:

The College of Applied Arts begins with a strong emphasis on building a creative foundation and honing essential skills. Students explore various artistic mediums and techniques, allowing them to develop a well-rounded understanding of applied arts. This foundation prepares students to express their creativity and expertise in their chosen field.


INDUSTRY CONNECTIONS AND COLLABORATIONS:

Beyond the studio, our College of Applied Arts places a significant emphasis on fostering industry connections and collaborations. Students have opportunities to engage with professionals, participate in art exhibitions, and collaborate on real-world projects. These experiences not only enhance their artistic portfolios but also provide valuable insights into the professional art world.


CULTURAL DIVERSITY AND ARTISTIC GLOBALIZATION:

The College of Applied Arts at Ohio City University is committed to nurturing cultural diversity and promoting artistic globalization. Our curriculum integrates art from various cultures and encourages students to explore different artistic traditions. Additionally, we offer study abroad programs, international art exhibitions, and collaborations with artists from around the world, enabling students to gain a global perspective on applied arts.

In this course, students explore the fundamentals of e-commerce, covering online business models, website design, and digital marketing. They gain insights into the principles of electronic commerce.


This course introduces students to data communication, including the transmission of data over networks. They study data protocols, transmission media, and network architectures.


This course provides an introduction to computing, covering computer systems, software, and algorithms. Students gain foundational knowledge in computer science.


In this course, students learn networking basics, including network protocols, configurations, and troubleshooting. They explore the essentials of computer networking.


This course provides an introduction to programming, teaching students how to write, debug, and test code. They learn programming languages and problem-solving techniques.


In this course, students study the essentials of computer science, including data structures, algorithms, and software engineering. They gain a comprehensive understanding of the discipline.


In this course, students explore the foundations of information technology, including computer hardware, software, and data management. They gain a comprehensive understanding of IT principles.


This course covers computer and internet search techniques, teaching students how to retrieve information from online sources effectively.

Gain an introduction to data communications, covering data transmission, communication protocols, and network technology. Analyze data communication systems, networking concepts, and the transmission of digital data.


Learn about the internet and the World Wide Web, emphasizing web technologies, web development, and internet services. Analyze web design, web hosting, and the principles of web-based communication.


Explore fundamentals of client-side programming, covering client-side scripting languages, web development tools, and interactive web content. Analyze client-side scripting, web interactivity, and user interface design.


In this course, students explore e-commerce, covering online business models, electronic payment systems, and e-commerce security. They gain insights into the world of online commerce.


Gain an introduction to server-side programming, covering server-side scripting languages, web server technologies, and server-side development. Analyze server-side scripting, web application architecture, and server-side applications.


Learn about the introduction to web development, covering web design, web development tools, and web technologies. Analyze web development processes, web design principles, and the creation of web content.

Tuition Fee Breakdown

Item Cost
Estimated Fee $42,120
Medical Insurance $0.00
Personal Expenses $0.00
Study Materials $0.00
Food Cost $0.00
Total Tuition Fee $42,120
WHERE AFFORDABILITY

Meets Opportunity

At University Of North Carolina, we stand firmly behind the intersection of affordability and opportunity. Our unwavering dedication to accessible education means that exceptional learning experiences need not be accompanied by exorbitant costs. We swing wide open the doors to knowledge, presenting students with the opportunity to flourish, unburdened by the weight of excessive tuition fees, and empowering them for a brighter, more promising future.

Our Eligibility Criteria

Explore UONC Eligibility Criteria for Students Worldwide

Eligibility Criteria

Min. Master's Degree

Credit Hours

54

Course Duration

3-5 Years (Self-Paced) Program

Courses Offered

09

Qualitative And Quantitative Research (PHD-910)

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:
     Developing Hypothesis And Research Questions
     Collecting Quantitative Data
     Analyzing And Interpreting Quantitative Data
     Collecting Qualitative Data
  In Section 3 of this course you will cover these topics:
     Analyzing And Interpreting Qualitative Data
     Reporting And Evaluating Research
     Experimental Designs
     Correlational Designs
  In Section 4 of this course you will cover these topics:
     Survey Designs
     Grounded Theory
     Ethnographic Research
  In Section 5 of this course you will cover these topics:
     Narrative Research Designs
     Mixed Methods Designs
     Action Research Designs

Preparing A Thesis (PHD-911)

TOPICS COVERED IN THIS COURSE
  In Section 1 of this course you will cover these topics:
     Thesis Writing: Getting Started
     Discovering Possibilities
  In Section 2 of this course you will cover these topics:
     The Proposal As An Argument: A Genre Approach To The Proposal
     Mapping Text: The Reading/ Writing Connection
  In Section 3 of this course you will cover these topics:
     Writing And Revising
     Writing The Literature Review
  In Section 4 of this course you will cover these topics:
     Using Visual Materials
     The Advisor And Thesis/ Dissertation Committee
  In Section 5 of this course you will cover these topics:
     Working With Grammar And Style
     Practical Considerations

Econometrics (PHD-912)

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
     Linear Regression With One Regressor
  In Section 2 of this course you will cover these topics:
     Regression With A Single Regressor: Hypothesis Tests And Confidence Intervals
     Linear Regression With Multiple Regressors
     Hypothesis Tests And Confidence Intervals In Multiple Regression
     Nonlinear Regression Functions
  In Section 3 of this course you will cover these topics:
     Assessing Studies Based On Multiple Regression
     Regression With Panel Data
     Regression With A Binary Dependent Variable
     Instrumental Variables Regression
  In Section 4 of this course you will cover these topics:
     Experiments And Quasi-Experiments
     Introduction To Time Series Regression And Forecasting
     Estimation Of Dynamic Causal Effects
  In Section 5 of this course you will cover these topics:
     Additional Topics In Time Series Regression
     The Theory Of Linear Regression With One Regressor
     The Theory Of Multiple Regression

Qualitative And Quantitative Research (PHD-910)

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:
     Developing Hypothesis And Research Questions
     Collecting Quantitative Data
     Analyzing And Interpreting Quantitative Data
     Collecting Qualitative Data
  In Section 3 of this course you will cover these topics:
     Analyzing And Interpreting Qualitative Data
     Reporting And Evaluating Research
     Experimental Designs
     Correlational Designs
  In Section 4 of this course you will cover these topics:
     Survey Designs
     Grounded Theory
     Ethnographic Research
  In Section 5 of this course you will cover these topics:
     Narrative Research Designs
     Mixed Methods Designs
     Action Research Designs

Preparing A Thesis (PHD-911)

TOPICS COVERED IN THIS COURSE
  In Section 1 of this course you will cover these topics:
     Thesis Writing: Getting Started
     Discovering Possibilities
  In Section 2 of this course you will cover these topics:
     The Proposal As An Argument: A Genre Approach To The Proposal
     Mapping Text: The Reading/ Writing Connection
  In Section 3 of this course you will cover these topics:
     Writing And Revising
     Writing The Literature Review
  In Section 4 of this course you will cover these topics:
     Using Visual Materials
     The Advisor And Thesis/ Dissertation Committee
  In Section 5 of this course you will cover these topics:
     Working With Grammar And Style
     Practical Considerations

Econometrics (PHD-912)

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
     Linear Regression With One Regressor
  In Section 2 of this course you will cover these topics:
     Regression With A Single Regressor: Hypothesis Tests And Confidence Intervals
     Linear Regression With Multiple Regressors
     Hypothesis Tests And Confidence Intervals In Multiple Regression
     Nonlinear Regression Functions
  In Section 3 of this course you will cover these topics:
     Assessing Studies Based On Multiple Regression
     Regression With Panel Data
     Regression With A Binary Dependent Variable
     Instrumental Variables Regression
  In Section 4 of this course you will cover these topics:
     Experiments And Quasi-Experiments
     Introduction To Time Series Regression And Forecasting
     Estimation Of Dynamic Causal Effects
  In Section 5 of this course you will cover these topics:
     Additional Topics In Time Series Regression
     The Theory Of Linear Regression With One Regressor
     The Theory Of Multiple Regression

Short Thesis

TOPICS COVERED IN THIS COURSE

Detailed Thesis

TOPICS COVERED IN THIS COURSE

Short Thesis

TOPICS COVERED IN THIS COURSE

Detailed Thesis

TOPICS COVERED IN THIS COURSE

Our Commitment to Your Success

At University Of North Carolina, we are wholeheartedly committed to providing our valued students with an all-encompassing educational experience that extends far beyond the classroom. Our institution takes immense pride in the comprehensive services we offer to empower our students to thrive in their academic journeys and beyond. With a focus on not just supreme learning but also career enhancement and job placement opportunities, we ensure that our students are well-prepared to excel in the competitive global job market.