Bachelor of Science Honours in Computer Science
Physical, Mathematical, Computer and Life Sciences - Information Technology and Computer Sciences
Purpose and Rationale
Preparation for Specialisation in Computer Science
In order to prepare for a first specialisation in Computer Science and to excel in advanced studies in computing systems, software engineering, or knowledge-based systems, it is essential for candidates to have a strong foundation in the following key areas:
Programming Languages
- Mastering programming languages such as Java, Python, C++, or other widely used languages is crucial for software development and system design.
- Understanding algorithms and data structures is essential for efficient problem solving and developing optimized solutions.
Operating Systems
- Having a good understanding of operating systems principles and architecture will be beneficial for working with computing systems and understanding how software interacts with hardware.
Computer Networking
- Knowledge of computer networking concepts is important for developing systems that communicate over networks and understanding how data is transferred across different devices.
Databases
- Understanding database management systems and SQL is essential for storing, managing, and retrieving data efficiently in software applications.
Software Engineering Principles
- Familiarity with software engineering practices, including Agile methodologies, version control systems, and testing strategies, will help in developing reliable and scalable software solutions.
Artificial Intelligence and Machine Learning
- Knowledge of artificial intelligence and machine learning concepts will be beneficial for candidates interested in knowledge-based systems and advanced computational tasks.
Mathematics
- Having a strong foundation in mathematics, including discrete mathematics, linear algebra, and calculus, will be invaluable for understanding complex algorithms and modeling systems.
By focusing on these key areas and gaining proficiency in them, candidates will be better prepared to pursue a specialization in Computer Science and to practice as software engineers with a solid understanding of computing systems and advanced technologies.
Outcomes
Assessment Criteria
Practical Sessions:
- These sessions provide students with the opportunity to apply theoretical knowledge to real-world problems, enhancing their problem-solving skills.
Test:
- This evaluates students' ability to assimilate and comprehend the material covered in the course, testing their understanding and retention of key concepts.
Group Assignment:
- This fosters the development of team skills as students collaborate to solve a problem or complete a project together, learning to communicate effectively and work towards a common goal.
Individual Project:
- This assesses students' report writing skills, requiring them to effectively communicate their research findings and analysis in a clear and concise manner.
Examination:
- This tests students' overall articulation of concepts covered in the course, evaluating their ability to synthesize information and demonstrate a comprehensive understanding of the material.
By incorporating these different assessment methods, students are able to demonstrate a range of skills and competencies that are essential for success both academically and in their future careers.
Qualification Details
- Type
- Honours Degree
- NQF Level
- 08
- Min. Credits
- 120
- SAQA Source
- More Information
Education Cost Calculator
This page includes information from the South African Qualifications Authority (SAQA) . Builtneat Pty Ltd trading as Study Start, has modified all or some of this information. SAQA has not approved, endorsed, or tested these modifications.