About
The School of Computing and Informatics (SCI) aims to produce graduates who are equipped with competitive knowledge, principles, and skills in technical and fundamental computer science theories towards serving the society through social business. SCI aspires to develop adaptable, balanced, well-rounded individuals who are willing and able to serve humanity, acting as change agents in respective communities through its 5A Core Values which are Adab, Akhlak, Amanah, Aqidah, Amalan. Above all, the Bachelor of Computer Science programme, plus its embedded core values in the curriculum, would produce an individual who is professional, compassionate, empathetic and holistic in all dimensions of life. The graduates of Bachelor of Computer Science from Albukhary International University would stand out as outstanding and exceptional leaders with philanthropic attitudes and traits.
Vision
To be the point of reference for computing and informatics in industry and community towards sustainable world
Mission
- Produces global computing and informatics experts and professionals to serve humanity
- Produces adaptable, balanced and all-rounded graduates with philanthropic attitudes and traits
- Inculcates integrated minds towards social inclusion globally
Programmes Offered
Bachelor in Computer Science (Honours)
Bachelor in Data Science (Honours)
Bachelor in Computer Science (Honours)
| Programme | Bachelor in Computer Science (Honours) |
| Total Credits to Graduate | 120 Credit Hours |
| Duration of Study | 3 Years (9 Semesters) |
| Programme Educational Objectives (PEO) | 1. Acquire fundamental knowledge, scientific principles and technical competency skills in the field of computer science in line with industry requirements locally and globally. 2. Communicate effectively, perform well as a team player and demonstrate good leadership qualities with AIU 5A core values. 3. Solve computing problems creatively, innovatively and ethically, using numerical and technical skills through sustainable approaches. 4. Demonstrate social entrepreneur skills, recognise the need for lifelong learning, as well as use digital solutions for the community at large. |
| Programme Learning Objectives (PLO) | 1. Describe advanced and comprehensive theoretical concepts and technical knowledge in Computer Science. 2. Apply critical, analytical and evaluation skills to resolve complex real-world problems and unpredictable issues with innovative sustainable approaches. 3. Perform a range of essential techniques, methods and procedures in order to solve computing problems. 4. Work together with different people in diverse learning and working Communities. 5. Communicate ideas, information and solutions effectively with stakeholders and society at large. 6. Develop solutions for real computing problems using relevant digital technologies. 7. Demonstrate the ability to analyse numerical data for work or study. 8. Demonstrate leadership, teamwork, social skills within groups and Communities. 9. Effectivly integrate skills and principles of lifelong learning and professional pathways in career development. 10. Demonstrate entrepreneurial competency in social business project(s) including appreciation of broader socio-economic and cultural issues in local and global communities. 11. Exhibit professionalism and ethical behaviour with AIU core values. |
Bachelor in Data Science (Honours)
| Programme | Bachelor in Data Science (Honours) |
| Total Credits to Graduate | 120 Credit Hours |
| Duration of Study | 3 Years (9 Semesters) |
| Programme Educational Objectives (PEO) | 1. Computing practitioners who are able to provide computing solutions for non-routine problems based on appropriate knowledge and technical skills in the discipline according to the industry requirements. 2. Computing practitioners who have leadership skills and good interpersonal skills to interact with stakeholders. 3. Computing practitioners who are able to engage in lifelong learning and have an entrepreneurial mindset for self and career development. 4. Computing practitioners who are able to uphold ethical conduct and professional practices in maintaining integrity. |
Programme Learning Objectives (PLO) | 1. Analyse data, concepts, principles, and theories relating to Data Science. 2. Apply appropriate concepts and methods for optimised Data Science solutions. 3. Produce Data Science solutions using appropriate concepts and methods. 4. Demonstrate effective interaction with diverse stakeholders. 5. Exhibit effective communication with diverse stakeholders. 6. Utilise digital skills for problem-solving in the field of study. 7. Apply numeracy skills for problem-solving in the field of study. 8. Demonstrate teamwork, accountability, autonomy, and responsibility in delivering solutions related to the field of study. 9. Exhibit capabilities to extend relevant knowledge through life-long learning. 10. Apply an entrepreneurial mindset in delivering solutions. 11. Uphold professional and ethical practices in the work environment in line with 5A values. |
Members Of Staff
Join Us
Associate Professor Dr. Basheer Riskhan
Dean, School of Computing and Informatics (SCI)
Nadiah Binti Arsat
Deputy Dean, School of Computing and Informatics (SCI)
Professor Dr. Khalid Hussain
Professor
Professor Dr. Zurinahni Binti Zainol
Professor
Associate Professor Ts. Dr. Leelavathi Rajamanickam
Associate Professor
Associate Professor Dr. Umi Kalsom Binti Yusof
Associate Professor
Halawati Binti Abd Jalil Safuan
Lecturer /
Head of Programme, Bachelor of Computer Sciences (Honours)
Head of Programme, Bachelor of Computer Sciences (Honours)
Ts. Abu Bakar Bin Ngah
Lecturer
Ts. Mohd Zulkifli Bin Mohd Zaki
Lecturer
Dr. Nor Haniza Binti Mohd Khir
Lecturer
Liliana Mas Aliza Binti Rofiki
Executive
Fatin Nurin Rahwani Binti Razak
Executive
Muhammad Adam Bin A. Rahman
IT Lab Assistant