Part-Time Bachelor of Information Technology
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Duration:
5 years academic
Saturday classes - NQF: Level 7
- Credits: 360
- SAQA ID: 94121
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Location:
Pretoria Campus
The Bachelor of Information Technology part-time course has been designed with the intention of offering a competitive edge for individuals already in the industry to further enhance and develop their knowledge and skills.
Overview
We offer our Bachelor of Information Technology part-time for working professionals who want to obtain an IT qualification. As a working professional, it will give you a competitive edge by allowing you to enhance your IT knowledge and skills to graduate with a qualification that will remain relevant in a rapidly changing technological environment.
With a focus on information systems modules, this course covers the fundamentals of an extensive range of fields, including software development, cloud and IoT-based technology, web development, database development, software engineering, and data science. It provides a solid theoretical foundation and practical knowledge
gained through real-life projects.
The knowledge you gain in object-oriented and event-driven programming will mould you into a world-class programmer.
You will learn to develop functional software programs from designs and programming instructions received from systems architects, software engineers, and systems designers. The applications you develop will be deployed on desktops, networked computers, the internet, and multiplatform devices.
Additional information
• Classes take place from 8am-5pm on Saturdays.
• Applicants with prior IT qualifications and/or relevant work experience can apply for Recognition of Prior Learning to complete the course in a shorter period.
Course Info
| Subject | Code | NQF | Credits | Prerequisites | View |
|---|---|---|---|---|---|
| Core | |||||
| Academic Writing 171 | ACW171 | 5 | 4 | view | |
| Computer Architecture 171 | COA171 | 5 | 7 | View | |
| Database Development 171 | DBD171 | 5 | 12 | View | |
| English Communication 171 | ENG171 | 5 | 7 | View | |
| Information Systems 171 | INF171 | 5 | 12 | View | |
| Mathematics 171 | MAT171 | 5 | 11 | View | |
| Networking Development 171 | NWD171 | 5 | 8 | View | |
| Statistics 171 | STA171 | 5 | 4 | View | |
| Subject | Code | NQF | Credits | Prerequisites | View |
|---|---|---|---|---|---|
| Core | |||||
| Cloud-Native Application Programming 371 | CNA371 | 6 | 11 | CNA271 | View |
| Enterprise Systems 271 | ERP271 | 6 | 7 | STA271 | View |
| Ethics 271 | ETH271 | 6 | 4 | DBD271 | View |
| Information Systems 271 | INF271 | 6 | 12 | INF171 | View |
| Programming 271 | PRG271 | 6 | 13 | PRG172 | View |
| Linear Programming 171 | LPR171 | 5 | 11 | MAT171 | View |
| Project Management 271 | PMM271 | 6 | 7 | View | |
| Project Management 371 | PMM371 | 7 | 7 | PMM271 | View |
| Subject | Code | NQF | Credits | Prerequisites | View |
|---|---|---|---|---|---|
| Core | |||||
| Data Analytics 371 | DAL371 | 7 | 14 | STA271 | View |
| Database Development 371 | DBD371 | 7 | 7 | DBD271 | View |
| Internet Of Things 271 | IOT271 | 6 | 8 | WPR271,PRG171 | View |
| Programming 272 | PRG272 | 6 | 8 | DBD271,PRG271 | View |
| Software Analysis & Design 371 | SAD371 | 7 | 14 | View | |
| Software Testing 271 | SWT271 | 6 | 8 | PRG272 | View |
| Web Programming 271 | WPR271 | 6 | 10 | PRG171,WPR171 | View |
| Subject | Code | NQF | Credits | Prerequisites | View |
|---|---|---|---|---|---|
| Core | |||||
| Cloud-Native Application Programming 371 | CNA371 | 7 | 11 | CNA271 | View |
| Innovation Management 371 | INM371 | 7 | 11 | View | |
| Programming 371 | PRG371 | 7 | 9 | PRG272 | View |
| Project 371 | PRJ371 | 7 | 17 | PMM271 | View |
| Software Engineering 371 | SEN371 | 7 | 16 | SAD371, PRG272, PMM371 | View |
| User Experience Design 371 | UAX371 | 7 | 11 | PRG272, WPR271 | View |
| Web Programming 371 | P-WPR371 | 7 | 9 | PRG272, WPR271 | View |
Disclaimer: Students will be assigned to either morning or afternoon classes based on the availability of venues, seats, and lecturers, as well as the optimal distribution of resources.
