PhD in Computer Applications Admission 2026-27 - Top University in Ranchi, Jharkhand

A PhD in Computer Application at Usha Martin University aims to develop advanced expertise in computer science concepts, research methodologies, and innovative applications to address complex technological challenges.

• Provide deep understanding of core theories, techniques, and systems in computer applications, including software engineering, databases, AI, machine learning, and data analytics.
• Equip students with skills for original research, such as formulating hypotheses, designing experiments, developing new algorithms, and contributing novel solutions to real-world problems.
• Fostering proficiency in advanced computational methods to solve specialized issues, promote collaborations with industry and academia, and enable societal impact through automated technologies.
• Prepare students for leadership roles in academia, research institutions, or industry, including positions like professors, research scientists, or AI specialists.​
• Encourage critical analysis, independent investigation, and application of knowledge to interdisciplinary fields like computer vision, NLP, and data-driven models.

The following is the PhD Computer Application eligibility –

• A candidate should have a master’s degree from a recognized university or institution.
• A minimum of 55% is required in the master’s degree.
• A relaxation in percentage will be given to the candidates belonging to SC/ST/OBC (Non-Creamy Layer)/Differently-Abled and such other categories as per the decision of the UGC & Government of India.
• Candidates who have cleared the UGC (JRF) Examinations, NET, SET, or SLET, or who hold an M. Phil degree, are eligible to appear directly at the interview.

The Usha Martin University PhD in Computer Application program has a duration of three years. It is a semester-wise program. The program can be carried out –

• Full Time
• Part Time

The PhD programmes is semester-wise and extended from 3-5years. There are two categories of research:

• Full-time Ph.D. in Computer Science
• Part-time Ph.D. in Computer Science

The PhD in Computer Application coursework aligns with UGC guidelines, emphasizing research competence, advanced computing skills, and domain expertise in areas like AI, software systems, and data analytics.

Research Methodology – Covers research concepts, quantitative and qualitative methods, data analysis, experimental design in computing, algorithm validation, and academic writing to foster critical thinking and robust research practices.

One Core Paper Related to Computer Applications – A specialized elective based on the scholar’s research focus, such as Artificial Intelligence, Software Engineering, Data Structures and Algorithms, Machine Learning, or Computer Networks, finalized with supervisor approval.

Research and Publication Ethics – Focuses on ethical research practices, plagiarism prevention, and intellectual property rights in software and algorithms, open-source licensing, and standards for publication integrity in computing journals.

Research Training (Review Paper) – Enhances skills in conducting literature reviews, critical evaluation of computational models, synthesis of research in areas like neural networks or cybersecurity, and gap identification relevant to the scholar’s topic.

Candidates must pass the university’s PhD Computer Application entrance exam (MCQ-based entrance test), which is divided into two sections: 50 questions on research technique and general awareness and 50 questions on subject domain knowledge, to be admitted to the PhD program in computer science. To be eligible for the interview, candidates must receive at least 50% in the general category or 45% in the reserved categories on the PhD Computer Science entrance exam. Although they are not required to take the admission exam, candidates having credentials such as an M.Phil, JEST, UGC-NET, or GATE-IIT are required to register and show up for an interview for Usha Martin University PhD admission.

The final selection is determined by adding the results of the admission exam and the interview, which is administered by a university committee and carries 50 marks. Research can be pursued either full-time or part-time by successful candidates. Full-time is generally required for those with a fellowship. Part-time candidates must be employed in educational or research institutions and be available on campus as needed.

• Obtain and fill out the PhD Computer Science admission application form available on the UMU official website or the university campus.
• Submit the required documents, upload online for online application or attached along with the application form for offline application.
• Pay the application fee, online mode for online application, or attach DD along with the application form for offline application.

Online Mode:

• Visit umu.ac.in
• Click on Apply Online
• Register with required details
• Click on Submit
• Login & fill the application form

Offline Mode:

• Visit umu.ac.in
• Download the Application Form
• Take Print out
• Send the soft copy through email or hard copy via Courier

Yes. Applicants need to take an MCQ-based entrance test that includes research methodology and subject-specific questions. Candidates with qualifying research credentials like NET or JRF do not need to sit for the test but must attend the interview.

Selection is based on entrance test score and interview performance. The interview carries 50 marks and is conducted by the university committee.

Yes. The university offers both full-time and part-time options. Part-time scholars must be employed in a research or academic institution and should be available on campus when required.

The coursework covers research methodology, publication ethics, and one core paper related to the scholar’s chosen research area. A review paper is also required before moving to the thesis stage.

An application form can be filled out online on the official website or submitted offline at the campus. Required documents must be uploaded or attached, followed by payment of the application fee.