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Test Program
Ph.D. in Computer Science & Engineering
Duration: 02 Years
Ph.D. in Computer Science & Engineering
The PhD in Computer Science & Engineering at Assam Don Bosco University is designed to cultivate exceptional research leaders in the dynamic field of technology. Students in this program delve into cutting-edge areas like artificial intelligence, machine learning, data science, and cybersecurity, guided by expert faculty. The curriculum encourages independent research, critical thinking, and the development of innovative solutions to real-world problems. This program offers students access to state-of-the-art facilities and research opportunities that foster hands-on experience and collaboration. Graduates are equipped with the skills to drive technological advancements and make impactful contributions to academia and industry. Whether in research labs or tech companies, PhD candidates emerge as leaders in the fast-evolving tech landscape.
Program Highlights and Advantages
Empowering Future Tech Leaders
Innovative Research
Explore emerging technologies and innovative solutions.
Expert Faculty
Learn from world-class faculty with expertise in key areas.
Cutting-Edge Facilities
Access advanced labs and tools for groundbreaking research.
Global Collaborations
Engage in international research partnerships and projects.
Eligibility
Grade /Marks requirement from qualifying examinations
At least 55% marks or a CGPA of 6.0 on a scale of 10 for the Master’s degree, M. Tech or M. Phil in the concerned subject or an allied subject.
Entrance Examinations / Personal Interview
Appearance at an entrance test and/or interview to be conducted by the University.
THRUST AREAS
Computer Science and Engineering
• Real Time Database Systems • Digital Image/Signal Processing • Speech Processing • Human-Computer Interaction, Bio-Medical Image Processing • Computer Network and Network Security • Human-Computer Interaction, Artificial Intelligence • Machine Learning, Decision Theory • Applied Cryptography, Soft Computing • Network on Chip, Network Security • Incremental Learning, Open set recognition problem, Deep Learning • Data Mining, Machine Learning, Bio-Informatics • Net Security • Cyber Security • AI/ML/DL, NLP • Wireless Sensor Network (WSN), IoT or any relevant areas The thrust areas for research in the University for the current session are as given below: THRUST AREAS ADBU| PHD 2025|4 • Computer Vision, Algorithm
Career Impact
Shaping Careers in Technology and Research
Academic Leadership
Lead research and teaching in top academic institutions.
Tech Industry Roles
Innovate and solve complex problems in leading tech companies.
Research and Development
Drive advancements in emerging technologies.
Consulting and Advisory:
Advise firms on tech strategy and innovations.
F.A.Q.
The university offers a range of undergraduate, graduate, and doctoral programs across disciplines including engineering, science, arts, business, and health sciences. Each program has its own specific requirements and areas of focus.
You can apply online through our university’s admissions portal. Complete the application form, submit the required documents (such as transcripts, test scores, and recommendation letters), and pay the application fee. Detailed instructions are available on our admissions webpage.
Admission requirements vary by program. Typically, undergraduate programs require a high school diploma and specific academic credentials, while graduate programs may require a bachelor’s degree in a related field, relevant test scores, and work experience. Be sure to review the specific requirements for the program to which you are applying.
Yes, the university offers a variety of scholarships and financial aid programs based on academic merit, financial need, and other criteria. Information about available scholarships and how to apply is available on the university’s financial aid webpage.
Application deadlines vary depending on the program and the intake period (e.g., fall, spring). Be sure to check the program’s admissions page for specific deadlines.