Bachelor of Arts (BA) in Language Technology | NWU

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Arts in Language Technology at NWU Potchefstroom is a unique three-year degree at the intersection of linguistics, computer science, and artificial intelligence. Students develop expertise in natural language processing, computational linguistics, machine translation, and speech technology, applying these skills to solve real-world problems in South Africa's multilingual digital environment. With growing demand for language technology solutions that work across South Africa's eleven official languages — for chatbots, voice assistants, translation tools, and accessibility applications — this programme addresses a critical gap in the country's technology sector. Graduates are equipped to contribute to the development of inclusive, multilingual digital tools and platforms for both the public and private sectors in South Africa.

Mathematics: Level 5 (60-69%)
A language subject (HL: Level 4 OR FAL: Level 5)
One of: IT, Accounting, or Physical Sciences at Level 4
APS: 24

Admission requirements
SubjectMinimumRequirement
English Home Language or English First Additional Language50%Required

Career Prospects

Natural Language Processing (NLP) Engineer – Develop language processing algorithms and tools for South African tech companies, fintech firms, or AI startups working with multilingual South African data.
Computational Linguist – Research and build language models for South African languages at universities, the CSIR, or international technology companies operating in Africa.
Localisation Specialist – Adapt software, apps, and digital content into South African official languages for global technology companies entering the South African market.
Speech Technology Developer – Build voice recognition and text-to-speech systems for South African languages to improve accessibility and digital inclusion across the country.
Language Data Analyst – Curate, annotate, and quality-assure South African language datasets used to train AI systems for government, academic, or commercial AI development projects.

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