|Degree Code:||Degree Name:||Master of Science in Computational Intelligence|
|Degree Description:||Click to View|
The School of Computing and Informatics has offered postgraduate programmes since 1980 when the Postgraduate Diploma in Computer Science was started. This has since been phased out after graduating 378 students. The MSc in Information Systems was started in 1998 and has graduated 263 students; the MSc in Applied Computer Science was started in 2003 and has graduated 9 students; while the MSc in Computer Science was launched in 2005 and has since graduated 82 students. These programmes were aimed at meeting perceived development needs in Kenya for high calibre computing and IT professionals and they have achieved their objectives and contributed a good percentage of IT professionals in Kenya today.
The need for developing new MSc Programmes at the School was necessitated by many factors that include experiences learned; time elapsed since the last review, development of the School’s research strategy, fast changing computing and information technology developments, national and industry needs and trends, requirements of performance contracting, and quality management system.
The process of developing this MSc programme has benefitted from the following inputs:
b. experiences learned,
c. alignment to the School’s research strategy,
d. analysis of current programmes and completion rates,
e. analysis of stakeholders’ feedback, and
f. benchmarking with other international masters programmes.
All these have guided the development of the various knowledge areas, provision of courses with more practical orientation, alignment with changing industry needs, emphasis on product development and entrepreneurial opportunities, and project management.
Remarkable progress has been made in applying computing technologies to real-world problems. However there exists a class of problems, specifically knowledge discovery problems, for which traditional computational methods are not applicable or sufficient. Given the explosion of digital information and knowledge that permeates all sectors of the society today, there is a great need for expertise in processing existing information and knowledge banks for the betterment of society. This category of problems requires solutions that mimic human intelligence. This programme seeks to expose the learner to the tools, techniques, algorithms and problem-solving methods that are applicable to real-world problems whose solution requires approaches that mimic human intelligence. This programme will endeavor to work closely with industry to address real-world needs by linking computational intelligence techniques to real-world applications and projects in areas such as business, finance, natural language engineering and control systems.
2. ADMISSION REQUIREMENTS
2.1 The common regulations for the Masters degrees in the University of Nairobi shall apply.
2.2. The following shall be eligible for admission into the Master of Science in Computational Intelligence:
2.3 Applicants shall be required to pass a School-based entrance examination.
3. CREDIT TRANSFER AND EXEMPTIONS
A candidate may be exempted from some units from approved institutions subject to the following conditions:
4. COURSE STRUCTURE AND DURATION
5. COURSE OUTLINE
Core Course Units
Electives (Choose one from the following specialization courses equivalent to three units)
6. FEE STRUCTURE
|Award of Degree||View Details|
The degree awarded shall be Master of Science in Computational Intelligence (MSc CI)
|Examinations Regulations||View Details|
1 All taught course units shall be examined at the end of the respective semesters.
6 The grading system of individual courses will be as follows:
1 The project shall be conducted in accordance with the Schools MSc Project guidelines.
|Course Structure||View Details|
1 The programme shall take a minimum of four semesters and a maximum of twelve semesters,
|CCC502 Course Outline||Download|
|CCC503 Course Outline||Download|
P. O. Box 30197 - 00100 GPO Nairobi
School of Computing & Informatics Building
Chiromo Campus, off Riverside Drive
University of Nairobi