Master of Science in Information Systems

Master of Science in Information Systems

Offered as a Block Release Programme
  • 00:00:00Course Duration
  • PostgraduateSkill level
  • $8553.00
    Price
  • 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

  1. Demonstrate a broad understanding of specific themes in Information Systems
  1. Use up to date technical concepts and practices in core Information Systems
  1. Demonstrate knowledge of networking, data management, information security and

systems management.

  1. Analyse literature regarding Information Systems and communicate results effectively
  1. Undertake research in at least one area of Information Systems and be able to publish results at international of repute

 

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.

 

 

 

Need Any help!

Mr Walter Magagula

Mr Walter Magagula

Senior Assistant Registrar