Overview
REGULATIONS FOR THE MASTER OF COMMERCE DEGREE IN INFORMATION AND KNOWLEDGE MANAGEMENT (BS23)
| Duration | 1½ years |
| Credit Load | 306 |
| Minimum Credit Load | 270 |
| Maximum Credit Load | 340 |
| Maximum MBKs Credit Load | 216 |
| ZNQF Level | 9 |
- PURPOSE OF THE PROGRAMME
The goal of the programme is to educate students to manage organisation’s knowledge assets. The programme aims to develop the sound conceptual, technical, analytical and communication skills that are required to succeed in the specification, design, construction and Information and Knowledge systems. In addition, students will learn techniques to foster learning and knowledge communities within the organisation. To this end, the programme employs a rigorous case analysis approach, which requires students to exercise their analytical abilities and conduct independent research. Furthermore, they must be able to integrate technologies, theories, concepts, and models from diverse range of modules.
- ENTRY REQUIREMENTS
Normal Entry: A candidate must normally possess a minimum of honours degree with a 2.2
better in Information System or relevant degree programme.
Special Entry: For special entry a student must satisfy one of the criteria prescribed in the
General Regulations and is approved by the Faculty Board.
- PROGRAMME CHARACTERISTICS
| Areas of Study: | Knowledge Management Strategies; Information Management, Knowledge Discovery, Business Intelligence; Systems Development; Management; Emerging Technologies |
| Specialist Focus: | The goal of the programme is to help meet the increasing demand for knowledge personnel who possess a balanced combination of technical and managerial skills. |
| Orientation: | Research and innovation oriented. Teaching and learning are professionally oriented and focused on practical aspects |
| Distinctive Features: | The programme builds the research-technology-innovation continuum and focuses on knowledge development and application using a student-centred approach |
- CAREER OPPORTUNITIES AND FURTHER EDUCATION
| Employability: | Knowledge Manager, Data Analyst, Web Content Manager,
Records Manager, Competitive Intelligence Analyst, Electronic Resource Librarian, Information Architect, Information Officer Programmer; Project Manager; Chief Information Officer; Consultant; Database Designer; Systems Designer; Chief Technology Officer |
| Further Studies: | Doctoral studies in Information and Knowledge Management or in interdisciplinary programmes related to Information Systems |
- PROGRAMME DELIVERY
| Teaching and Learning Methods: | Lectures, tutorials, group work, dissertation, individual independent study |
| Assessment Methods: | Written and oral examinations, tests, final year dissertation, presentations, term papers, continuous assessments |
- LEARNING OUTCOMES
| • Understand the theoretical frameworks that integrate the creation, sharing, and utilization of information and knowledge |
| • Identify and apply principles of knowledge management in all types of organizations. |
| • Develop, implement and evaluate operational and strategic knowledge plans. |
| • Build a strategy for effective knowledge management for individual organizations. |
| • Design and deploy data analytics in corporate, marketing and related functional strategies. |
| • Identify and analyse scholarly literature relating to Information and Knowledge Management |
| · Publish research in scholarly journals of international repute |
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7. GENERAL PROVISIONS The Master of Commerce degree programme is studied over 1½ years.
1.1 The Special Departmental Regulations shall prescribe the total number of modules per programme per semester, and the degree structures.
1.2 Exemption is a process of crediting a student with the module(s) already passed in programmes similar or equivalent to the one on offer. A student may be exempted from studying such modules. However, the student has to apply for the credit transfer. In his/her application the following should be attached: a) A transcript of the module(s) to be credit transferred. b) A synopsis of the module(s) from the University/College where the module was attained. c) A support letter from the Registrar’s Office of the institution where the module(s) were attained. 1.3 The respective Departmental Boards will sit and assess applications for credits transfers and would recommend accordingly to Senate. 7.4 No student shall be exempted more than 50% of the modules offered in the programme.
8. PROGRAMME ASSESSMENT
9. PROVISION FOR PROGRESSION 9.1 Students shall progress from Semester One to Semester Two at each Level after they have passed more than 50% of modules taken in a semester. 9.2 TheFaculty Board of Examiners shall meet at the end of the first semester of the level to ratify the marks obtained by candidates and considered by Departmental Boards. 9.3 The FacultyBoard of Examiners shall meet at the end of the second semester of a level to ratify the marks obtained by candidates and make recommendations to Senate on issues of progression by students to the next level. In the case of repeat level students, the Faculty Board of Examiners may however, make a recommendation to withdraw or discontinue the student at this stage. 9.4 For a student to proceed from one level to the other, he/she musthavepassed at least75% of the number of modules normally scheduled in a particular level of a programme.
10. FAILURE TO SATISFY EXAMINERS Refer to general regulations 11.GRADING AND DEGREE CLASSIFICATION Refer to general regulations 12. DEGREE WEIGHTING Refer to faculty regulations 13. AWARD OF DEGREE Refer to general regulations 14. PROGRAMME STRUCTURE
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Programme Structure
- MODULE SYNOPSES
MIKM701: The Information and Knowledge Economy
This module focuses on information and the new information and digital economy, consumer behaviour, production theory and the demand for information; information as a factor of production; information costs and pricing. Case studies in information industry are explored
MIKM 702: Organisational Learning
This module will address organizational learning in fast-paced, complex and changing organisational environments. Knowledge organisation must learn through its people, groups and organisation as a whole to survive and grow. Covers the fundamental theory of organisation learning and organisation learning types
MIKM703: Information and Knowledge Assets
The module will develop thorough understanding of the internal and external knowledge sources important for organizational effectiveness. This module outlines knowledge assets in organizations; using the I-Space model to map organizational knowledge assets. Social learning cycle. Understanding the knowledge worker: Schumpeterian and Newtonian learning, Career Anchors, Gardner’s Theory of Multiple Intelligences, Sternberg’s Balance Theory of Wisdom.
MIKM704: Knowledge Management
This module introduces historical roots of knowledge and knowledge management: theories/ definition of knowledge; theories, application tools and practices of knowledge management; knowledge management life-cycle framework and models; knowledge management-best practices, culture, economics strategy, intellectual capital, sustainable innovation.
MIKM705: Business Intelligence
This module introduces students to strategic intelligence consisting of competitive and business intelligence. Business and governments require effective programs, process and tools to track business, competitors, markets and trends by acquiring, creating, managing, packaging and dissemination intelligence knowledge
MIKM706: Knowledge Management Strategies & Policies
This module defines and develops knowledge fusion strategies. Issues and challenges for knowledge economies and enterprises. It also looks into knowledge creation strategies, management of knowledge flows in alliance, subsidiaries, Management and Strategies as well as outsourcing contexts. Creating a knowledge index or expertise locator, knowledge audit and good practices repository
MIKM707: Research Methods, Mapping and Modelling
This module reviews techniques and tools that support strategic development and decision-making through phases of knowledge discovery, knowledge capture and knowledge analysis. Relational databases and machine learning to organizational entities. Identification knowledge gaps, ethical issues surrounding the manipulation of data.
MIKM708: Intellectual Capital Management
The module encompasses the new knowledge–intensive economic units: human capital and social capital intellectual asserts, property, brands and trademarks. It looks into “A Life cycle” approach for intellectual asserts, capital measurement framework. Major knowledge assets valuation approaches. Parameters for managing intellectual capital, knowledge workers and intellectual capital. Intellectual property protection and exploitation. Disclosure and corporate governance
MIKM709: Semantic Analysis Methods and Technologies
This module introduces students to the practical contexts, methods and tools associated with semantic analysis. Focuses on early life cycle semantics, including identification and modelling of semantic problems, design of semantic solution, and the identification and implementation of appropriate sematic technology. Covers natural language processing, rule based and grammar based concept extraction, rule based and dynamic classification and automated summarization.
MIKM710: Knowledge Assessment and Evaluation
The module explores all aspects of effective knowledge management within all types of organisations. Lays out the context for knowledge management at each multiple levels and across all competences. Covers theory and practice and methods of assessments and evaluation for all levels and competencies. Provides an introduction to knowledge strategy formulations.
MIKM801: Statistics and Data Analytics
This module provides a comparative analysis of statistical methods and tools, demonstrating how different analytic methods can be used to address the critical data issues faced by organisations in digital age. Students analyse a range of issues in data ethics to ensure responsible capture and use of data; ensuring cultural appropriateness and subject privacy; and to root analytics initiatives in a responsible and trustworthy regimen
MIKM802: Strategic Information Management
The module develops understating of information technology, information and knowledge management governance frameworks and strategy perspectives with particular emphasis on the regulatory environment, legislative and organisational controls. The module builds on intellectual capital theory -: social and emotional capital.
MIKM803: Dissertation/Research Project
The dissertation captures the details of the practical work carried out, in which the student demonstrates the ability to transfer the theoretical knowledge gained during the course of study. The student should demonstrate an ability to present Information and Knowledge in a manner that can be easily understood as well as capturing and analysing the experimental outcomes of one’s project activity.