Master of Science in Information Systems
- 00:00:00Course Duration
- PostgraduateSkill level
-
$1085.00
- 30 November -0001Admission Deadline
Applications to study for this programme are Open.
The Master of Science in Information Systems is designed specifically for those graduates that need to learn more about the utilisation of information technology in business environments. The target groups in this respect are those IT practitioners in senior and management positions.
PROGRAMME AIM AND OBJECTIVES
The programme is aimed at equipping the graduates with the appropriate knowledge, skills and values to be effective in modern information technology based business environments. Graduates should be able to recommend the use and uptake of modern information technologies in business organizations to solve identified information systems business needs, analyze the threats and opportunities of the use of technology in businesses to bring about a competitive advantage for those businesses utilizing information systems, as well as debate on the issues of ethics and social implications of the use of computing technology in the business environments.
ENTRY REQUIREMENTS
An Honors degree with a degree class of at least 2.2 in Computing (Computer Engineering, Information Technology, Information Systems, Computer Science, Software Engineering) or its recognized equivalent in Electronic Engineering. Relevant work experience (at least two (2) years) in an Information and Communications Technology related field will be an added advantage. Students that do not have any qualification in object oriented programming will be required to take Object Oriented Programming as an option during the First Block.
Duration |
18 Months |
Minimum Credit Load |
293 |
Maximum Credit Load |
360 |
Maximum MBK/S Credit Load |
234 |
ZNQF Level |
9 |
Entry requirements |
Tick |
An Honours degree with a degree class of at least 2.2 in Computing (Computer Engineering, Informatics, Information Systems, Computer Science, Software Engineering) or Electronic Engineering. |
√ |
LEARNING OUTCOMES Graduates should be able to |
|
|
systems management. |
|
|
Programme Assessment (Describe and indicate percentage [%]) |
|
Coursework |
40 (Test 10%, Assignments 5%, Practicals 15%, Term Paper 10%) |
Written Examinations |
60 |
Module Name |
Credits |
Level One |
|
Enterprise Database Systems |
18 |
e-Commerce |
18 |
Information System Strategy |
18 |
Financial and Management Accounting |
18 |
ICT Project Management |
18 |
Business Intelligence Systems |
18 |
Information System Security & Auditing |
18 |
Research Methods |
18 |
Data Analytics and Visualisation |
18 |
Emerging Technologies and Innovation |
18 |
Level Two |
|
Dissertation |
90 |
Total Credits |
270 |
MODULE SYNOPSES |
Enterprise Database Systems The ER model, Motivation for Complex data types, User defined abstract data types and structured types, Subclasses, Super classes, Inheritance, Specialization and Generalization, Constraints and characteristics of specialization and Generalization, Relationship types of degree higher than two; Concurrency control and recovery management; Database security management; Distributed database functions and client-server architecture. Object oriented concepts and OODDBMS architecture Web interfaces to the Web; Overview of XML; Structure of XML data, Document schema, Querying XML data; Storage of XML data.
|
e-Commerce (IS) management in E-Commerce, IS planning for enterprise-wide e-Commerce, Competitive IS strategies for e-Commerce, Marketing and economic issues in Electronic Commerce for IS managers, Security Issues in e-Commerce, Organizational websites and Intranets. Web Application options in Electronic Commerce, Business Process Integration for the IS professional, Content Management issues for e-Commerce sites, Organizational Control Strategies, Risk Management, Best Practice in Internal Control, Corporate Fraud, Crisis Management. |
Information System Strategy Information and techniques for providing information, Networks & Electronic Data interchange, Types of Information Systems, IT security requirements, Organizational Policy, IS and general audit responsibilities, Internal Controls.
|
Financial and Management Accounting Preparation of Financial Statements of Companies, Statements of Company Income, Statements of Changes in Equity, Statements of Financial Position Statements of Cash Flows, Notes to the Financial Statements, Use of Accounting Packages, Interpretation of Financial Statements, Legal and Regulatory Framework, Introduction to Management Accounts, Analysis and classification of costs, Absorption and Activity Based Costing, Cost volume profit analysis, Budgeting and Variance Analysis, Budgetary Control, Investment Appraisal.
|
ICT Project Management Project rationale, Project scope, Budgeting and scheduling issues, managing project risk, Project quality management, Managing organizational change, Leadership & Conflict management, Leadership theories.
|
Business Intelligence Systems Introduction – DSS, Modeling, Application Development, Data analysis and display, DSS development, Decision Analysis, Optimization, Queuing and Inventory Modeling, Advanced DSS development topics, Simulation.
|
Information System Security and Auditing Developing an Information Security Policy, Physical Computer Security, Biometrics and Digital Signatures, Network Intrusion Detection and Prevention System, Wireless and Mobile Network Security, E-commerce Security, Risk Management & Analysis, Biba Integrity Model, Nature of IS Audit, Audit responsibilities against fraud, IS audit guidelines and standards.
|
Research Methods Research Planning and Design, Proposal writing, Data Collection, Literature Review, Research Techniques, Sampling and Sampling Techniques, Validity and Reliability, Research Report Writing, Ethical Issues in Information Systems Research, Measures of Central Tendency, Measures of Variability, Plotting and Displaying Data.
|
Data Analytics and Visualisation Data and analysis in the business world. Qualitative and quantitative analysis of data. Data governance, data privacy and data quality. Data extraction, visualisation and interpretation. Analytical tools. Tools for data visualisation. Machine learning for business.
|
Emerging Technologies and Innovation Technology is rapidly changing and evolving. An IT professional should be able to identify the potential benefits of new technology and determine the feasibility of implementation into a given system. This course will explore current emerging technologies and how businesses may leverage these technologies to be competitive. The technologies discussed may include but are not limited to the following: Internet of Things, Blockchain, Storage infrastructure, Serverless computing, Robotics, Artificial Intelligence, Web technologies and Communications technologies.
|