Overview

REGULATIONS FOR THE MASTER OF COMMERCE DEGREE IN CLOUD COMPUTING AND INTERNET OF THINGS (MCI)

Duration 1½ years
Credit Load 306
Minimum Credit Load 270
Maximum Credit Load 342
Maximum MBKs Credit Load 216
ZNQF Level 9

 

  1. PURPOSE OF THE PROGRAMME

Cloud Computing and Internet of Things places emphasis more on the application of computing in distributed environments as the world is globalised and continue to intersect. The program aims to:

  • Develop cloud IoT managers and engineers
  • Design and develop IoT applications and services adapted to industrial needs
  • Manage and analyse data produced by Cloud IoT systems
  1. ENTRY REQUIREMENTS

An Honours degree with a degree class of at least 2.1 in Computing (Computer Engineering, Informatics, Information Systems, Computer Science, Software Engineering) or Electronic Engineering or related supported with a strong programming background.

  1. PROGRAMME CHARACTERISTICS

Areas of study:

Programming; Cloud Computing; IoT; Emerging Technologies in Cloud IOT; Security and Networking in Cloud IoT

Specialist Focus: The goal of the programme is to help meet the increasing demand for knowledgeable personnel who possess a balanced combination of technical and managerial skills in the field Cloud IOT.

Orientation: Research and innovation oriented. Teaching and learning are professionally oriented and focused on practical aspects

Distinctive Features: The programme is driven so much by the requirements of Professional bodies who demand and expect compliance with the Cloud Computing Association (CCA), Institute of Electrical and Electronics Engineers Computer Society (IEEE CS), Association for Computing Machinery (ACM), International Association of Computer Science and Information Technology (IACSIT). Consultations are made time and again to maintain programme relevance to the ever-changing technological world. The programme builds the research-technology-innovation continuum and focuses on knowledge development and application using a student-centred approach

  1. CAREER OPPORTUNITIES AND FURTHER EDUCATION

Careers in Cloud IOT include Managers in Data Science Engineering, Data Analytics, Big Data Consultancy, Data Warehousing, Database Management and Business Intelligence, Scholars and Academia. Doctoral studies in Cloud IOT or in interdisciplinary programmes related to Cloud Computing and Internet of Things and Professional Certifications in related field.

  1. PROGRAMME DELIVERY
  • Teaching and Learning Methods: Lectures, tutorials, seminars, group work, industrial visits, Work-Related learning, research project, practicals and innovations/ dissertation, and individual independent study.
  • Assessment Methods:Written, practical and oral examinations, in-class tests, assignments, presentations, Work-Related learning report, projects and final year research project report.
  1. LEARNING OUTCOMES

By the end of the programme a graduate will be able to:

  • Describe the IoT and Cloud architectures
  • Deploy Cloud Services using different cloud technologies.
  • Implement security features to protect data stored in the cloud
  • Research, publish, and develop several Cloud IOT based projects
  • Gain Knowledge and skill in data analytics which is essential for getting value from IoT
  1. GENERAL PROVISIONS

Refer to faculty and general regulations

  1. PROGRAMME ASSESSMENT

8.1 Evaluation of students shall normally be based on continuous assessment as well as formal university examinations that are held at the end of each semester.

8.2 Continuous Assessment will account for 40% of the overall assessment. No continuous assessment shall be carried over to the next semester.

8.3 Final examination accounts for60% of the overall assessment.

8.4 The department shall determine which items will be included in the continuous assessment and shall define the relevant weighting to each item.

8.5 To be admitted to the examinations, a candidate must;

8.5.1 be a registered student of the University in accordance with the General Regulations

8.5.2 have satisfactorily attended and completed the approved modules of study.  completion of modules shall require submission of all written assignments and tests that constitute the continuous assessment

8.5.3 have attended and participated in seminars, tutorials and practical classes, presentations and other activities as required by the Department.

8.5.4 Candidates shall be informed in advance of the deadline of submission of dissertation or project. Unless the Academic Board has granted prior permission for an extension of this deadline any candidate who fails to meet this submission deadline shall normally fail the dissertation or project. In such cases, on the recommendation of the Examiners, candidates may be permitted to resubmit the dissertation or project at a later date, normally within three months of the original submission deadline. Unless otherwise determined by Senate, the maximum mark allowed for such work should be 50%

  1. PROVISION FOR PROGRESSION

Refer to general and faculty regulations for provision for progression

  1. FAILURE TO SATISFY EXAMINERS

Refer to general regulations

  1. GRADING AND DEGREE CLASSIFICATION

Refer to general regulations

  1. DEGREE WEIGHTING

Refer to faculty regulations

  1. AWARD OF DEGREE

Refer to general regulations

 

Programme Structure