Senior Content Specialist | Updated On - Apr 5, 2024
The Ph. D. (Doctor of Philosophy) in Computer Applications is a three years duration full-time degree program offered at the doctoral level and designed to provide the students advanced research capability in computer science and technology. The curriculum covers disciplines related to advanced math, high-speed computing, analytics, machine learning, and new technologies in a group of core courses. Another elective that students take is computer applications elective that is domain-specific and is selected based on the research interest of the student.
The program is learner-focused and it has prioritized research skills development by offering training in advanced research methodology and tools. The part of PhD students is to do original research with adviser’s help, followed by doctoral thesis publication which is a new discovery in computer science field. The research work is defended in front of a panel of experts, which includes the academic staff at the level of an examiner, as a PhD degree is awarded.
1. Computer Science, Computer Application, Information Technology, or any other related field degrees with a minimum mark of 55% or equivalent CGPA will be applicable.
2. Bachelor degree in Computer Application, Computer Science, Information Technology and any related discipline with minimum marks of 60% or equivalent CGPA WITH two years of related experience.
3. While normal universities apply for specific courses in which UGC NET, GATE, etc. is a pre-requisite, some Uni may demand the score qualifying in this test.
4. You will most probably be told in the admission letter that the school or the department of concern will have to conduct such an exam for you.
5. Apart from getting involved in top academic publications that is in matching fields, also research could be an advantageous factor to attain a place in post-graduate school.
6. Such students may still be enrolled if an approved evaluation of thesis for master level degree course has been performed but oral exam is still pending.Therefore, you could be asked to pass the oral part of the evaluation before you can proceed with your programme.
7. It is evident that, logical thinking, programming knowledge and research abilities are involved, while academic records and professional references are regarded as well.
8. The required level of English language competency demonstrated through TOEFL/IELTS or any other English language test recognized by the University.
Ph.D. (Computer Applications) Entrance Exams
GRE (Graduate Record Examination): Evaluates applicants on the basis of their analytical writing, verbal reasoning, and quantitative reasoning skills.
TOEFL (Test of English as a Foreign Language): Identifies English proficiency levels for the non-native speakers.Mandatory for the majority of universities, especially for the ones where English is the official language, for foreigners applying to the universities.
Subject-Specific Exams: Some universities may require area-specific/subject-specific exams evaluating applicants about their knowledge in programming languages, high-level mathematics or any other related subject.
Introduce students to the principles and practices of research methodology in computer applications. Students will learn how to design and conduct research studies, collect and analyze data, and write research reports.
Advanced Computer Architecture
Principles and design of modern computer architectures. Students will learn about the different components of a computer system, how they interact with each other, and how to design efficient computer architectures.
Distributed Systems
Students to the design and implementation of distributed systems. Students will learn about the different types of distributed systems, the challenges of designing and implementing them, and the various techniques used to address these challenges.
Machine Learning
Fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Students will learn how to train and evaluate machine learning models, and how to apply machine learning to real-world problems.
Advanced Software Engineering
Principles and practices of advanced software engineering. Students will learn about the different phases of software development, how to design and implement complex software systems, and how to ensure the quality of software systems.
Elective Courses
Students will also be required to take elective courses in their area of specialization. Elective courses may cover topics such as artificial intelligence, computer graphics, data mining, and information security.
Top 10 Government Ph.D. (Computer Applications) Colleges
Ph.D. (Computer Applications) graduates in India are in high demand from a variety of companies, including IT companies, research institutions, and universities. The average CTC for Ph.D. (Computer Applications) graduates in India is around INR 10 lakhs per annum. However, the actual CTC can vary depending on the company, the industry, and the candidate's experience.
The Computer Application PhD degree is a research-oriented program, which attempts to address, and come up with new ideas in the various fields of computer science, such as software development, data analytics, artificial intelligence, and human computer interaction.
As for the research areas they may include software engineering, data science, artificial intelligence, computer vision, cybersecurity, mobile and web applications, and so on, by considering the student and faculty interests.
Commonly, a PhD in Computer Applications takes around 3 to 5 years, alongside coursework, research, and dissertation writing. On another side, we cannot guarantee how long the program will last as it depends on the institution and the student's progress.
Yes, there are types of opportunities like teaching or research assistantships, scholarships, grants, fellowships, and industry sponsored work designed to provide support for PhD students throughout their schedule.
Alumni can choose jobs in public sector as professors or research scientists, in government as policy advisors or consultants, in industry as technical leads or can become entrepreneurs founding startups or providing technology consulting services.