G L A University PhD in Computer Science and Applications Admission 2025, No. of Students Placed, Gallery, Entrance Exams

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G L A UNIVERSITY

Mathura, Uttar Pradesh
Estd 2010
Private
AICTE, UGC, NCTE, BCI, PCI, AIU

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PhD in Computer Science and Applications Admission 2025 in G L A University - Glau Mathura

G L A University - Glau PhD in Computer Science and Applications Admission 2025

G L A University - Glau was established in 2010. G L A University - Glau is a Private institute approved by AICTE, UGC, NCTE, BCI, PCI, AIU. G L A University - Glau is located in Mathura, Uttar Pradesh. G L A University - Glau offers a PhD in Computer Science and Applications. The duration of PhD in Computer Science and Applications is three years. The PhD in Computer Science and Applications typically covers a wide range of topics, including algorithms, artificial intelligence, machine learning, software development, and human-computer interaction. Students complete rigorous courses that emphasize both theoretical foundations and practical applications, developing a deep understanding of complex computing problems. Through a combination of seminars, hands-on projects, and collaborative research, candidates acquire the skills necessary to innovate and contribute to the state of the art. The program culminates in a thesis that addresses a significant research question, demonstrating the candidate's ability to conduct independent academic research while extending knowledge in a specific area of computer science. G L A University - Glau offers students a comprehensive education beyond the classroom. G L A University - Glau also offers soft skills training through debates, group discussions, and other activities to ensure that students acquire the skills required to succeed in any career. Top companies like TORA, IBM, Accenture, Infosys, Capgemini, Bank of Baroda, Wipro, Ericsson, TCS, and many more.

G L A University - Glau Mathura Highlights

Institute Name	G L A University - Glau Mathura
Established	2010
Approved By	AICTE, UGC, NCTE, BCI, PCI, AIU
Affiliated By	Govt. of Uttar Pradesh
Type	Private
Address	Mathura,Uttar Pradesh India 281406
E-Mail	glauniversity@gla.ac.in
Official Website	www.gla.ac.in

Eligibility Criteria for PhD in Computer Science and Applications at G L A University - Glau

Candidates seeking PhD in Computer Science and Applications should have a postgraduate degree in Computer Science and Applications with at least 55% marks in relevant subjects from a recognized university and should have passed the national or university-level entrance examination. National-level entrance examinations such as UGC NET / UGC CSIR NET / GATE / SLET and G L A University - Glau level entrance examinations consist of a written test and a personal interview.

Application Process of PhD in Computer Science and Applications at G L A University - Glau

Fill out the application form with all the required information.
Scan and upload all the required documents.
Submit the application form and pay G L A University - Glau application fees.
Download and take a printout of the application for future reference.

Entrance Exam for PhD in Computer Science and Applications at G L A University - Glau

CSIR UGC NET
UGC NET
IIT JAM
GPAT
VITMEE

Required Documents for PhD in Computer Science and Applications at G L A University - Glau

Passport size Photograph
Application form
Secondary School (Class 10th) Mark Sheet
Pass Certificate of Class 10th
Senior Secondary School (Class 12th ) Mark sheet or equivalent
Pass Certificate of Class 12th
Valid Certificate for proof of Date of Birth
Graduation Marks Sheet or equivalent, If applicable
Graduation Degree certificate, If applicable
Postgraduate Mark Sheet or equivalent
Postgraduate Degree certificate
Migration Certificate (Original+2 Xerox)
School Leaving Certificate/Transfer Certificate/College Leaving Certificate, as applicable
Caste Certificates (ST/SC/OBC-NCL), EWS Certificates

Course Highlights of PhD in Computer Science and Applications at G L A University - Glau

Course Name	PhD in Computer Science and Applications
Eligibility Criteria	Post Graduation
Course Duration	Three Years
Course Level	Doctoral
Fee Structure	Updated Soon
Top Recruiters	IBM, ICICI Bank, Persistent, Larsen and Toubro, etc.
Job Profiles	Academic Researcher/Professor, Data Scientist, Machine Learning Engineer, etc.

Admission Process for PhD in Computer Science and Applications at G L A University - Glau

First, students are required to meet the eligibility criteria.
Candidates are required to fulfill PhD in Computer Science and Applications of G L A University - Glau eligibility criteria.
Fill out the application form with all the required details.
Upload and scan all the necessary documents.
Candidates will be selected on the basis of past performance, information on the application form, and several others.
Pay PhD in Computer Science and Applications fees to get admitted to the program.

Benefits of PhD in Computer Science and Applications at G L A University - Glau

Although a PhD in Computer Science and Applications has many benefits, these programs require a lot of hard work and commitment. However, a PhD program in Computer Science can be very rewarding and will prepare you for an exciting career in the field. Moreover, the program will broaden your horizons by giving you a deeper understanding of topics you may not have considered before. Earning a PhD in Computer Science and Applications also gives you better employment opportunities and a wider range of career options. Earning a PhD in Computer Science and Applications can land you a highly advanced job and make your resume very impressive. Earning this degree shows potential employers that you are passionate about studying the field and solving problems. A PhD in Computer Science is a great way to strengthen your resume and expand your career options. A PhD in Computer Science demonstrates that you have formal academic training in computer science. Graduate students can also add projects completed as part of their graduate studies that demonstrate practical programming experience.

Syllabus for PhD in Computer Science and Applications at G L A University - Glau

Semester 1

Advanced Algorithms

Algorithm design techniques, complexity analysis, graph algorithms.

Computer Architecture

Fundamentals of computer organization, CPU design, memory hierarchy.

Seminar:

Current Trends in Computer Science
Overview of emerging technologies and research areas.

Semester 2

Machine Learning

Supervised and unsupervised learning, neural networks, and model evaluation.

Database Systems

Database design, SQL, NoSQL databases, transaction management.

Elective:

Human-Computer Interaction

User-centered design, usability testing, and interaction techniques.

Semester 3

Artificial Intelligence

Knowledge representation, search algorithms, robotics applications.

Electives (Choose one or two):

Data Mining and Big Data Analytics

Data preprocessing, statistical methods, and data visualization.

Software Engineering

Software development methodologies, project management, and testing.

Research Component:

Begin exploring dissertation topics and conducting preliminary literature reviews.

Semester 4

Distributed Systems

Principles of distributed computing, cloud architectures, fault tolerance.

Electives (Choose one):

Computer Networks

Network protocols, wireless networking, security issues.

Computer Vision

Image processing, feature extraction, object detection.

Research Component:

Dissertation Proposal Development
Guidance on writing and refining the dissertation proposal.

Semester 5

Dissertation Research I

Initiate independent research; conduct literature reviews and develop methodology.

Elective (if needed):

Cybersecurity
Security principles, cryptographic algorithms, threat detection.

Semester 6

Dissertation Research II

Continue data collection and analysis for the dissertation.

Teaching Practicum:

Assist in undergraduate courses or labs to gain teaching experience.

Job Types after completing PhD in Computer Science and Applications at G L A University - Glau

Job Types	Description
Academic Researcher/Professor	Teach courses in computer science, supervise graduate students, and conduct research in specialized areas. Responsibilities include publishing scholarly articles, attending conferences, and contributing to curriculum development.
Data Scientist	Analyze complex data sets to extract insights and inform decision-making. Utilize statistical methods, machine learning, and data visualization techniques to solve business problems and drive strategy.
Machine Learning Engineer	Design and implement machine learning models and algorithms. Work on improving model performance and scalability, and collaborate with software engineers to integrate models into applications.
Software Engineer/Developer	Develop and maintain software applications. Responsibilities include writing code, debugging, and collaborating with cross-functional teams to create user-friendly software solutions.
Research Scientist	Conduct cutting-edge research in areas like artificial intelligence, machine learning, or computer vision. This role typically involves designing experiments, analyzing results, and publishing findings.
Cybersecurity Analyst	Protect an organization’s computer systems and networks from cyber threats. Responsibilities include monitoring security incidents, conducting risk assessments, and implementing security measures.
Systems Architect	Design and oversee the architecture of complex IT systems. Collaborate with stakeholders to ensure that systems meet business requirements and integrate effectively with existing technology.
Data Engineer	Develop and maintain the infrastructure for data generation, storage, and processing. This role focuses on building systems that enable data collection and analysis, ensuring data is accessible and reliable.
DevOps Engineer	Bridge the gap between development and operations teams. Responsibilities include automating deployment processes, improving system reliability, and enhancing collaboration across teams.
Product Manager	Oversee the development and delivery of software products. This role involves defining product vision, gathering requirements, and coordinating with engineering, marketing, and sales teams.
Consultant	Provide expert advice to organizations on technology solutions, system implementations, or data strategies. This role may involve analyzing business needs and recommending software or systems to improve efficiency.
User Experience (UX) Researcher	Study and analyze how users interact with applications and systems. Conduct usability tests and research to inform design decisions and enhance user experience.
Blockchain Developer	Design and develop blockchain-based applications. This role requires knowledge of blockchain technology, smart contracts, and cryptography.
Quantitative Analyst	Use mathematical models and statistical techniques to analyze financial data. Often employed in finance, this role involves developing algorithms for trading strategies and risk management.

Placement of PhD in Computer Science and Applications at G L A University - Glau

G L A University - Glau, Mathura has a Career and Placement Centre which provides training to students, and a Placement Centre which provides training and placement. The Career Centre of G L A University - Glau, Mathura supports and organizes the university's programs through eminent personalities. The placement agency organizes campus placement drives to ensure the successful placement of students in G L A University - Glau, Mathura. The Career Centre of G L A University - Glau, Mathura helps students understand their interests and visualize their goals properly. To ensure that students acquire the skills required to build a career in a particular field, the Career Centre of G L A University - Glau, Mathura organizes various training programs and activities.

Top Recruiters for PhD in Computer Science and Applications at G L A University - Glau

IBM
ICICI Bank
Persistent
Larsen and Toubro
Capgemini
Reliance Industries Limited

Facilities of PhD in Computer Science and Applications at G L A University - Glau

Sports	G L A University - Glau, Mathura has a large sports ground for cricket, football and volleyball that makes students to be physically active and refreshes their minds.
Transport Facility	The G L A University - Glau has a transport facility for students and staff.
I.T Infrastructure	The G L A University - Glau has well-established computer labs with all the advanced IT Infrastructure facilities available for the students and faculty members of the G L A University - Glau.
Library	The G L A University - Glau has a library with a wide range of books, e-journals, newspapers, and magazines that are helpful for the students and faculty members to gain knowledge.
Classrooms	The G L A University - Glau has a classroom facility for students.
Hostel	G L A University - Glau, Mathura provides hostel facilities to all students with all the basic furniture provided. The hostel is well equipped with fans, a bed, a study table, and a wardrobe.

Future Scope of PhD in Computer Science and Applications at G L A University - Glau

The PhD in Computer Science and Applications is an academic research degree focusing on urban design and organization. This topic includes the development of the built environment. The doctoral curriculum consists of coursework and a thesis. The thesis requires extensive research and interdisciplinary skills. Students should have a strong interest in social issues and modern technologies. Upon completing a doctoral program, students can expect to find employment in architecture, landscape design, urban planning, and other related fields. The future scope of a PhD program in computer science and applications varies, but will likely include research in the areas of architectural construction and planning strategies. This field is based on the design and planning of buildings and has a strong emphasis on engineering principles. Graduates learn how to build buildings that can withstand and function against the forces of nature. In addition to incorporating engineering principles, these programs also teach students advanced planning and organization skills that are invaluable in the construction industry. The PhD program in Computer Science and Applications focuses on contemporary developments in architectural ideas and forms. It also covers its relationship with society and private institutions. The degree also teaches students to be more innovative in their work and think outside the box. The PhD program in Computer Science and Applications teaches students to think critically and apply the latest scientific methods to the design of buildings and urban spaces.

G L A University - GLAU Course Detail

Stream Name	Doctor of Philosophy
Course Name	PhD in Computer Science and Applications
Course Full Name	Doctor of Philosophy in Computer Science and Applications
Eligibility	Postgraduate Degree in a Relevant Discipline With Minimum 55% Marks ( 50% for SC/ST Candidates )
Mode of Learning	Year
Duration	3 Years
Course Level	Master
Course Type	Doctorate Degree Courses
Silent Feature	Good Job Opportunities In Government as well as in Private sector