| Program start date | Application deadline |
| 2024-01-01 | - |
| 2024-04-01 | - |
| 2024-09-01 | - |
Program Overview
ARU's PhD in Computing and Information Science fosters cutting-edge research in AI, data science, cybersecurity, and more. Students benefit from a supportive environment, industry collaborations, and access to state-of-the-art facilities, preparing them for careers in academia, research, and industry.
Program Outline
Degree Overview:
Overview:
ARU's Computing and Information Science research groups are actively involved in shaping the world through innovative technologies and applications, often in collaboration with industry partners. PhD candidates are encouraged to actively participate in the School's research community, which currently focuses on areas such as Artificial Intelligence, Machine Learning, Data Science and Applications, Imaging Technologies, Vision and Acoustics, IoT, Digital Systems and Cloud Computing, Semantic Web, Educational Technologies, and Cyber Security.
Objectives:
- Provide a supportive and stimulating environment for PhD candidates to conduct cutting-edge research in Computing and Information Science.
- Foster collaboration between researchers, industry partners, and the wider community.
- Develop innovative technologies and applications that address real-world challenges.
- Train future leaders in the field of Computing and Information Science.
Program Description:
The program offers a large multidisciplinary academic team with expertise in Computing, Informatics and Applications (CIA) and Cyber Security and Networking (CSN). The CIA research group focuses on applied and collaborative research, with a particular interest in how computational and artificial intelligence (AI) methods can improve people's lives and increase productivity. The CSN research group has close working relationships with industry, professional bodies, law enforcement, government agencies, and academia in the delivery of operationally focused applied information and application security research.
Outline:
Content:
- Artificial Intelligence
- Machine Learning
- Data Science and Applications
- Imaging Technologies
- Vision and Acoustics
- IoT
- Digital Systems and Cloud Computing
- Semantic Web
- Educational Technologies
- Cyber Security
Structure:
- Full-time or part-time study options
- Research-intensive program with a strong emphasis on original research
- Formal research training as part of the research program
- Opportunities to present research at internal, national, and international scientific conferences
- Access to wide-ranging expertise and first-rate computing facilities
Course Schedule:
- The program is typically completed in 2-4 years for full-time students and 3-6 years for part-time students.
- Formal two-weekly reviews with supervisors, with informal help available anytime.
Individual Modules:
- The program does not have a traditional module structure. Instead, students focus on their individual research projects under the guidance of their supervisors.
Assessment:
Assessment Methods:
- Thesis
- Oral examination
- Research proposal
- Progress reports
- Presentations
Assessment Criteria:
- Originality and significance of research
- Quality of research methodology
- Analysis and interpretation of data
- Communication and presentation skills
Teaching:
Teaching Methods:
- Supervision by a primary supervisor and relevant specialists
- Formal two-weekly reviews
- Informal help available anytime
- Research training workshops and seminars
- Conferences and research events
Faculty:
- Prof Marcian Cirstea (Digital Systems, Artificial Intelligence, Computer Aided Design)
- Dr Silvia Cirstea (Mathematical Modelling, Acoustic and Psycho-acoustic Modelling, Smart Technologies for Assisted Living)
- Dr Razvan Dinita (Cloud Computing Software Development, Optimization, Security)
- Dr Arooj Fatima (Semantic Search, Knowledge Acquisition, User Interfaces, Usability Evaluation)
- Dr Cristina Luca (Artificial Intelligence, Semantic Technologies, Machine Learning, Neural Networks)
- Dr Ian van der Linde (Vision Science, Image Processing, Behavioural Psychology, Eye-Tracking, Electrophysiology)
- Dr George Wilson (Spatial Data Manipulation, Image Analysis, 3D-Gaming)
- Adrian Winkles (Malware Detection, Digital Forensics, Computer Networking, Network and System Security)
- Dr Jin Zhang (Electronic Systems Modelling, Smart Antennas, Artificial Metamaterials, Millimetre-Wave Astronomy)
Unique Approaches:
- Emphasis on applied and collaborative research
- Close working relationships with industry partners
- Opportunities for students to present their research at internal, national, and international scientific conferences
- Access to wide-ranging expertise and first-rate computing facilities
Careers:
Potential Career Paths:
- Academia
- Research and development
- Industry
- Government
- Non-profit organizations
Opportunities:
- Opportunities to develop research skills and expertise in a supportive and stimulating environment
- Access to a network of industry partners and potential employers
- Training in transferable skills such as communication, presentation, and project management
Outcomes:
- Graduates of the program are well-prepared for careers in research, academia, industry, and beyond.
- They have the skills and knowledge to make significant contributions to the field of Computing and Information Science.
Tuition Fees and Payment Information:
UK students, 2023/24 (per year) £4,712 UK students, 2023/24 (part-time, per year) £2,356 International students, 2023/24 (per year) £15,000 International students, 2023/24 (part-time, per year) £7,500 UK students, 2024/25 (per year) £4,786 UK students, 2024/25 (part-time, per year) £2,392 International students, 2024/25 (per year) £15,900 International students, 2024/25 (part-time, per year) £7,950
