Online PhD in Computer Science,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities
A PhD in Computer Science is a doctoral-level program that aims to equip students with the skills and knowledge necessary to pursue careers in academia or research. This program typically takes several years to complete and involves coursework, research, and a dissertation.
Online PhD in Computer Science Highlights:
A PhD in Computer Science provides students with advanced knowledge and skills in computer science and related fields.
The program focuses on research, with students expected to complete a dissertation that contributes to the body of knowledge in the field.
Graduates of a PhD program in Computer Science are prepared for careers in academia, research, and industry.
Online PhD in Computer Science Entrance Exam:
The entrance exam for a PhD in Computer Science varies depending on the institution. Some universities require the Graduate Record Examination (GRE) and others may require other standardized tests such as TOEFL, IELTS for international students.
Online PhD in Computer Science Admission:
Admission to a PhD in Computer Science program typically requires a Master's degree in Computer Science or a related field, with a minimum GPA of 3.0. Additionally, candidates must submit transcripts, letters of recommendation, a statement of purpose, and GRE scores.
Online PhD in Computer Science Eligibility:
A Master's degree in Computer Science or a related field.
Minimum GPA of 3.0.
Standardized test scores (GRE, TOEFL, IELTS).
Letters of recommendation.
Statement of purpose.
Online PhD in Computer Science Duration:
The duration of a PhD program in Computer Science typically ranges from 3 to 5 years, depending on the research area, individual progress, and university guidelines.
Online PhD in Computer Science Selection Criteria:
Selection criteria for a PhD program in Computer Science may vary depending on the institution, but typically include academic credentials, research experience, letters of recommendation, statement of purpose, and GRE scores.
Online PhD in Computer Science How to Apply:
Candidates can apply for a PhD program in Computer Science by completing the online application form available on the university's website. The application process involves submitting transcripts, standardized test scores, letters of recommendation, a statement of purpose, and application fee.
Online PhD in Computer Science Application Form:
The application form for a PhD program in Computer Science is available on the university's website and typically requires personal and academic information, as well as supporting documents such as transcripts, letters of recommendation, and standardized test scores.
Online PhD in Computer Science Application Process:
The application process for a PhD program in Computer Science typically involves the following steps:
Research potential programs and universities.
Check admission requirements and deadlines.
Complete the online application form.
Submit transcripts, standardized test scores, letters of recommendation, and a statement of purpose.
Pay the application fee.
Online PhD in Computer Science Fee:
The fee for a PhD program in Computer Science varies depending on the institution, country, and program. However, PhD programs are usually fully funded, with tuition fees and living expenses covered by scholarships, assistantships, or fellowships.
Online PhD in Computer Science Syllabus:
The syllabus for a PhD program in Computer Science varies depending on the research area, individual progress, and university guidelines. However, typical courses may include advanced topics in algorithms, artificial intelligence, databases, computer graphics, machine learning, programming languages, and theory of computation.
Online PhD in Computer Science Salary and Jobs:
The salary and job prospects for graduates of a PhD program in Computer Science are highly dependent on the individual's research area, industry demand, and geographic location. Graduates of a PhD program in Computer Science can pursue careers in academia, research, and industry. Some common job titles and salaries are:
Research Scientist: $123,000 per year
Professor: $100,000 per year
Senior Software Engineer: $112,000 per year
Data Scientist: $113,000 per year
Machine Learning Engineer: $134,000 per year
Online PhD in Computer Science Career Opportunities:
Graduates of a PhD program in Computer Science have a wide range of career opportunities, including:
Academic positions such as professors or researchers at universities and research
ONLINE PH.D. IN COMPUTER SCIENCE
Gain vital expertise to lead and innovate with the help of the invaluable “practice experience” in a fast-paced, real-world environment.
Through critical and logical thinking, you’ll gain the essential knowledge and experience needed to become highly proficient in the use of today’s leading computing platforms and techniques.
Program type:
Format:
Est. time to complete:
Credit hours:
Scientists and engineers in every industry rely on high-performance technology and large data sets, requiring experts that can help harness the latest sophisticated computing power to solve real-world problems.
With this graduate program, you’ll:
Get essential “practice experience” to help
solve real-world problems and challenges through the computational technology
Develop the knowledge and skills that will
prepare you to lead or support research in any technical career that relies
on computer science.
Develop your logic and critical-thinking
skills to help solve today’s most pressing scientific and engineering
challenges.
Choose from computation clusters focused on
the specialized computing system or methods, and application clusters for the
exposure to specific scientific disciplines.
Work with practitioners in the variety of disciplines served by computer science.
On-Campus or Online PhD in Computer
Science
Benefit from strong departmental proficiencies in artificial intelligence, compiler design, database, networks, and operating systems, graphics, simulation, software engineering, and theoretical computer science.
Gain the expertise need to follow the career path in many dynamic branches of computer science such as bioinformatics, atmospheric science, software design, and more.
Advance your technology skills with a curriculum that encourages a formal, abstract, theoretical and practical approach to the study of computer science.
Gain access to on-campus computer power: two computer labs, a set of diverse servers and a high-performance computing (HPC) system. The supercomputer at the UND runs on the HPE Apollo 6500 Gen10 system, purpose-built for HPC and a leading platform for deep learning.
UND is a leader in big data expertise. We are the lead institution in a multi-university project for digital agriculture, funded by the National Science Foundation. And we co-led another NSF project to determine industry and academics computational needs in the Midwest.
A study at the Carnegie Doctoral Research Institution ranked #151 by the NSF. Candidates are an integral part of UND research.
Graduates of this program often go on to successful careers as software engineers and developers, computational scientists, data science engineers, and research scientists at technology companies and universities.
Because technology systems are so essential today in many areas of sciences, technology and research, UND graduates can expect career opportunities across a range of industries. A small sampling of top industries needing scientific computing skills include:
·
High tech (hardware)
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Software engineering
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Scientific and medical research
(privates and university-level)
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Engineering and science
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Renewable energy
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Communication
· Aerospace
PH.D. IN COMPUTER SCIENCE COURSES
There may be a few foundational classes that all computer science doctoral candidates are required to take. In addition, you may need to ensure that your course schedule includes at least one class from each required category; for example, you may need a theory class, a programming class, and an applications class.
Artificial Intelligence – your time in this
class can help bring you up to speed on some of the latest advancements in artificial
intelligence and give you an idea of the direction that this technology may be
heading. You’ll likely discuss search algorithms and the probabilistic models.
Databases – this course explores advanced
topics in creating and using databases. Data analytics will likely be an
important component of your studies, and you’ll probably discuss query optimizations
and warehouse modeling.
Graduate Algorithms – this course can help
equip you with skills and tools for advanced data collection and analysis.
The topics may include hash tables, linear programming, max-flow algorithms,
and dynamic programming.
Programming Languages – your earlier
academic programs probably introduced you to the basics of using
programming languages, and this doctoral course is designed to build on
your object-oriented and functional programming skills. You’ll likely talk
about applying algorithms and running optimizations.
Project Management for Software Design –
creating a new program or operating system can involve coordinating numerous
people over a long span of time. This class covers how to provide organized
leadership for the process and ensure that all the involved parties stay on the
same page.