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Université du Witwatersrand (Afrique du Sud)
Online only
Undergraduate degree in big data engineering, machine learning pipelines, telecommunications data analytics, and predictive disease modeling with the University of the Witwatersrand.
Study online
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code |
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| Course |
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| Credits · hours |
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| BSC-501 | Theoretical Foundations & Continental Realities Theoretical Foundations & Continental Realities (BSC-501) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC-502 | Applied Research & Quantitative Policy Analytics Applied Research & Quantitative Policy Analytics (BSC-502) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC181 | Data, questions, and a first analysis Data, questions, and a first analysis (BSC181) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC182 | Programming for data work Programming for data work (BSC182) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC183 | Statistics for decisions Statistics for decisions (BSC183) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC184 | Databases and data quality Databases and data quality (BSC184) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| Code | Course | Credits · hours |
|---|---|---|
| BSC-601 | Advanced Specialist Seminar & Case Studies Advanced Specialist Seminar & Case Studies (BSC-601) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
| BSC-602 | Master's Capstone Thesis & Defense Master's Capstone Thesis & Defense (BSC-602) is a course on BSc Data Science & Computational Intelligence (Wits Dual Award). It carries 45 credits and 450 notional learning hours, at 10 hours per credit. The course is taught at bachelor's level. Students learn the method on a guided case, then use it on a longer task with the sources named in the chapters. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The degree is taught fully online.
| 45 · 450 h |
Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.
The published duration is 36 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
This is a fully online award. You study from your country. No student visa and no campus relocation are required.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. African Future University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@afutureuni.com.
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