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Data Analytics at AFU combines statistical theory with hands-on coding in Python and SQL. You will clean real-world datasets, build dashboards, and interpret findings for business and policy audiences. Modules cover probability, regression, experimental design, and introductory machine learning. Campus seminars use anonymised datasets from public health, finance, and education partners. Communication skills are emphasised — analysts must explain uncertainty, not just produce charts.
Access to African Future University's analytics sandbox includes JupyterHub, Tableau licences, and faculty office hours in the Data Studio.
Faculty spotlight
Dr. Priya Sharma teaches Statistical Modelling; Professor Daniel Mensah leads the Causal Inference reading group.
Study online
Tuition is free. Examinations are free. There is no exam fee. Study from anywhere in the world.
| Code | Course | Credits · hours |
|---|---|---|
| DA101 | Statistics I — Probability & Inference Statistics I — Probability & Inference — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA102 | Programming for Analytics (Python/R) Programming for Analytics (Python/R) — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA103 | Data Visualisation & Storytelling Data Visualisation & Storytelling — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA104 | Business Context for Data Business Context for Data — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA105 | Linear Algebra & Discrete Mathematics Linear Algebra & Discrete Mathematics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA106 | Data Acquisition & Wrangling Data Acquisition & Wrangling — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| Code | Course | Credits · hours |
|---|---|---|
| DA201 | Regression & Statistical Inference Regression & Statistical Inference — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA202 | Database Systems & Advanced SQL Database Systems & Advanced SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
|
| Code | Course | Credits · hours |
|---|---|---|
| DA301 | Advanced Predictive Analytics Advanced Predictive Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA302 | Natural Language Processing & Text Mining Natural Language Processing & Text Mining — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
|
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 3 years full-time. 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. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
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.
Recognised & Accredited
| 20 |
| DA203 | Machine Learning Foundations Machine Learning Foundations — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA204 | Analytics Ethics & Data Governance Analytics Ethics & Data Governance — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA205 | Time Series Analysis & Forecasting Time Series Analysis & Forecasting — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA206 | Big Data Technologies & Cloud Pipelines Big Data Technologies & Cloud Pipelines — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| 20 |
| DA303 | Deep Learning & Neural Networks Deep Learning & Neural Networks — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA304 | Decision Analytics & Optimisation Decision Analytics & Optimisation — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 20 |
| DA305 | Capstone Analytics Project & Dissertation Capstone Analytics Project & Dissertation — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 40 |