Masters of Urban Design
The Master of Urban Design program at Kent State University is designed to provide stud...
Ph.D. in Computer Science
Kent, Ohio
INTAKE: Jan & Aug
Program Overview
The Ph.D. in Computer Science program at Kent State University is a cutting-edge and research-intensive program designed to prepare scholars, researchers, and industry leaders in the field of computer science. This program offers a comprehensive exploration of advanced topics in computer science, providing students with the knowledge and skills needed to contribute to the evolving landscape of technology. The program emphasizes both theoretical understanding and practical application, ensuring graduates are well-equipped for leadership roles in academia, research institutions, and the technology industry.
Curriculum: The curriculum is thoughtfully designed to cover a broad spectrum of computer science topics while allowing for specialization based on individual research interests. Core courses delve into advanced algorithms, artificial intelligence, data science, software engineering, and theoretical computer science. Elective courses enable students to focus on specialized areas such as cybersecurity, machine learning, computer vision, or distributed systems. The program balances theoretical foundations with hands-on projects, ensuring a well-rounded educational experience.
Research Focus: The Ph.D. program places a strong emphasis on research, encouraging students to contribute to the advancement of computer science knowledge. Research focus areas may include but are not limited to machine learning, computer vision, natural language processing, cybersecurity, and distributed systems. Students collaborate with esteemed faculty mentors, engage in cutting-edge research projects, and are encouraged to publish their findings in top-tier conferences and journals.
Industry Engagement: Kent State University recognizes the importance of connecting academic research with industry needs. The program facilitates industry engagement through partnerships with technology companies, research collaborations, and internship opportunities. Students may have the chance to work on industry-sponsored projects, gaining real-world experience and insights that enhance the practical relevance of their research.
Global Perspective: The Ph.D. in Computer Science program embraces a global perspective, acknowledging the interconnected nature of computer science in the modern world. Students are encouraged to engage in international collaborations, contribute to global research initiatives, and consider the global implications of technology. This global outlook prepares graduates to address complex challenges in diverse cultural contexts and contribute to advancements on a global scale.
Location
Kent, Ohio
Score
IELTS 6.5
Tuition Fee
USD 18448
PhD Entry Requirements
Application Fees : US$ 70
Academic Qualifications: Prospective PhD applicants are expected to hold a taught Masters degree in a relevant subject area. The university typically requires a minimum of 83% or above as the standard for academic performance in the completed Masters program.
English Language Proficiency:
- IELTS Requirement: An overall IELTS score of 6.5 is required.
- TOEFL Requirement: A minimum overall score of 71 is often required.
- PTE Requirement: A minimum overall score of 50is often required.
Standardized Test Requirements:
- GRE (Graduate Record Examination): A GRE score of 300 is required.
Students must provide:
- Academic marksheets & transcripts
- Letters of recommendation
- A personal statement - SOP
- Passport
- Other supporting documents as required by the university.
Work experience: Some PhD courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Kent State University actively promotes diversity and international collaboration in academia by offering scholarships specifically tailored for Ph.D. students from around the world. These scholarships aim to alleviate the financial burden of pursuing advanced degrees and encourage global scholars to contribute to cutting-edge research.
Global Diversity Scholarship: This scholarship is designed to attract and support high-achieving international Ph.D. students. It encompasses full or partial tuition coverage and may include additional benefits such as research grants and stipends.
Research Excellence Scholarship: Geared towards Ph.D. candidates with exceptional research potential, this scholarship provides financial support to facilitate groundbreaking research projects. Recipients may receive funding for equipment, travel, and other research-related expenses.
Teaching Assistantship Awards: Kent State University offers teaching assistantship awards for qualified Ph.D. students. These awards not only contribute to tuition costs but also provide valuable teaching experience, enhancing the academic journey of international scholars.
Graduates with a Ph.D. in Computer Science from Kent State University possess a high level of expertise, research skills, and a deep understanding of advanced concepts in the field. The program's emphasis on research, coupled with a robust curriculum, prepares individuals for diverse and rewarding career paths.
University Professor in Computer Science: Ph.D. holders can pursue academic careers as university professors, teaching and conducting research in computer science. They contribute to the academic community through innovative research projects, publications, and mentorship of the next generation of computer scientists.
Research Scientist in Artificial Intelligence (AI): Graduates may work as research scientists in AI, contributing to advancements in machine learning, natural language processing, computer vision, and other AI-related fields. They may collaborate with research institutions, industry labs, or AI-focused companies.
Data Scientist or Analyst: Individuals can take on roles as data scientists or analysts, applying their skills in data mining, analysis, and interpretation. They may work for tech companies, financial institutions, healthcare organizations, or research institutions to extract valuable insights from large datasets.
Cybersecurity Expert: Ph.D. holders with a focus on cybersecurity can work as experts in this critical field. They may be involved in developing secure systems, conducting vulnerability assessments, and devising strategies to protect organizations from cyber threats.
Software Engineering Manager: Graduates may pursue leadership roles as software engineering managers, overseeing the development of complex software projects. They collaborate with cross-functional teams to ensure the delivery of high-quality software solutions.
Machine Learning Engineer: Individuals can specialize in machine learning engineering, developing algorithms and models for applications such as recommendation systems, image recognition, and autonomous systems. They may work for tech companies or research institutions.
Technology Consultant: Ph.D. holders may work as technology consultants, providing expertise to businesses on implementing cutting-edge technologies, optimizing IT infrastructure, and solving complex technical challenges.
Chief Technology Officer (CTO): Graduates with leadership aspirations can aim for the role of Chief Technology Officer in technology companies. They are responsible for guiding the technological vision of the organization and ensuring the alignment of technology strategies with business goals.
Research and Development Scientist: Individuals can contribute to research and development efforts in various industries, exploring emerging technologies, and devising solutions to industry-specific challenges.
Quantum Computing Researcher: With advancements in quantum computing, graduates can contribute to research in this groundbreaking field, working on quantum algorithms, quantum cryptography, and applications of quantum computing.
Technology Policy Analyst: Ph.D. holders may work in the intersection of technology and policy, analyzing the impact of technology on society, contributing to policy development, and advising government or non-governmental organizations.
Entrepreneur in Technology Startups: Individuals with an entrepreneurial spirit may choose to start their own technology companies, bringing innovative products or services to market.
