| Code | Faculty |
|---|---|
| 07240173 | Faculty of Economic and Management Sciences |
| Credits | Duration |
|---|---|
| Minimum duration of study: 1 year | Total credits: 120 |
Relevant BCom degree with 60% for Informatics on 3rd year level or equivalent IT courses.
Preparatory work for the honours degree, as determined by each Head of Department, with an assessment thereof, is compulsory for all candidates. Candidates can be exempted from this requirement if they pass an exemption assessment as determined by the head of the department concerned.
A candidate may be refused admission to an honours degree by the Head of Department if he or she does not comply with the level of competence required in the subject as determined by the department – with the proviso that a candidate, who fails to comply with the level of competence required, may be admitted if additional study assignments, as agreed upon, are completed and/or examinations are written.
A candidate, who is refused admission to an honours degree, may request that the Dean reconsiders his or her application for admission in terms of the set procedures.
NB: The department reserves the right not to present a module if the particular expertise is not available in the department in that year.
In calculating marks, General Regulation G12.2 applies.
Subject to the provisions of General Regulation G.26, a head of a department determines, in consultation with the Dean
There are no supplementary examinations in this programme.
A pass mark is required for the following modules before applying for BComHons: FRK 111 (Financial Accounting), EKN 110 (Economics), STK 110 (Statistics) and OBS 114 (Business Management).
NB: Full details are published in each department's postgraduate information brochure, which is available from the head of department concerned. The minimum pass mark for a research report is 50%. The provisions regarding pass requirements for dissertations contained in General Regulation G.12.2 apply mutatis mutandis to research reports.
Subject to the provisions of General Regulation G.12.2.1.3, the subminimum required in subdivisions of modules is published in the study guides, which is available from the head of department concerned.
Minimum credits: 120
Module content:
This compulsory module explains different approaches that can be used for research in Informatics and gives practical advice with respect to carrying out limited research projects. It also assists students in selecting suitable research topics and writing research proposals in preparation for the research paper, which they will write in INF 780.
Module content:
Enterprise Architecture (EA) involves comprehensive business frameworks that capture the complexity of modern organisations, providing a blue-print for co-ordinating and integrating all components of an organisation. The module will illustrate all the aspects of EA, discuss the need for EA as well as various frameworks, methods and techniques of EA.
Module content:
This module will be used to present special, relevant topics within the expertise of the department.
Module content:
The analysis of the management, innovation and information systems aspects of the use of e-business technology and strategies
Module content:
• Advanced database design
• Advanced database management
• Database architectures and languages
• Data warehousing and data marts
• Current trends
Module content:
Main emphasis will be on IS project management using a case study to get practical experience in project management.
Module content:
This module will be used to present special, relevant topics within the expertise of the department.
Module content:
In this information age a lot of data is captured every day and recorded in databases, but the wealth of this data is kept locked in the databases because relatively little mining is performed on this data. This module introduces you to data mining in terms of:
• The data mining process - how do you mine data?
• The data mining techniques - an overview of the data mining techniques that can be used;
• Practical data mining experience - a practical project mining real industry data to find unknown patterns; and
• Product overviews - product demonstrations by data mining vendors.
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