BSc

BSc (Hons) Data Analytics

Turn data into decisions with statistics and code

Online only

3 years full-time360 creditsEnglish

Begin your application Explore programme

Overview

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.

Who This Programme Is For

Students strong in mathematics seeking applied careers
Future analysts in finance, healthcare, or technology
Learners who enjoy storytelling with evidence

Faculty spotlight

Dr. Priya Sharma teaches Statistical Modelling; Professor Daniel Mensah leads the Causal Inference reading group.

How you can study

Digital only

Study online

100% tuition-free online

Every programme can be completed fully online with zero tuition fees — study from anywhere in the world.

✦ Tuition: £0 / $0
✦ Course exams from $45 — 95% sponsorship rate
✦ Learn from anywhere · Live online seminars

Apply online →

What You Will Learn

Clean, analyse, and visualise structured datasets with reproducible notebooks
Apply regression and hypothesis testing to business questions
Build interactive dashboards for non-technical stakeholders
Document limitations and ethical considerations in data projects

Curriculum

Year 1

Code	Course	Credits
DA101	Statistics I Statistics I — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Statistics I Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA102	Programming for Analytics Programming for Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Programming for Analytics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA103	Data Visualisation Data Visualisation — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Data Visualisation Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA104	Business Context for Data Business Context for Data — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Business Context for Data Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 2

Code	Course	Credits
DA201	Regression & Inference Regression & Inference — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Regression & Inference Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA202	Database & SQL Database & SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Database & SQL Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA203	Machine Learning Foundations Machine Learning Foundations — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Machine Learning Foundations Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA204	Analytics Ethics Analytics Ethics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Analytics Ethics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 3

Code

Course

Credits

DA301

Advanced Analytics

Advanced Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Advanced Analytics
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

DA302

Capstone Analytics Project

Capstone Analytics Project — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Capstone Analytics Project
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

Career Paths

Data Analyst
Business Intelligence Analyst
Market Researcher
Policy Analyst
Analytics Consultant

Programme Highlights

Industry datasets from partner NGOs and fintech firms
Tableau and Python certification preparation
Data Studio with peer tutoring programme
Direct pathway to MSc Data Science

Admission Requirements

A-levels BBB (or equivalent) in relevant subjects, or an Access to HE Diploma with Merit profile
International Baccalaureate 28 points, or high school diploma with GPA 3.0/4.0 minimum
Personal statement (400–600 words) explaining your academic interests and career goals
One academic reference from a teacher, tutor, or school counsellor
English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study)
Optional: portfolio or interview for creative and professional programmes

Recognised & Accredited

Ready to begin?BSc (Hons) Data Analytics

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Overview

Access to African Future University's analytics sandbox includes JupyterHub, Tableau licences, and faculty office hours in the Data Studio.

Curriculum

Year 1

Code	Course	Credits
DA101	Statistics I Statistics I — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Statistics I Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA102	Programming for Analytics Programming for Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Programming for Analytics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA103	Data Visualisation Data Visualisation — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Data Visualisation Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA104	Business Context for Data Business Context for Data — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Business Context for Data Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 2

Code	Course	Credits
DA201	Regression & Inference Regression & Inference — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Regression & Inference Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA202	Database & SQL Database & SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Database & SQL Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA203	Machine Learning Foundations Machine Learning Foundations — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Machine Learning Foundations Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20
DA204	Analytics Ethics Analytics Ethics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway. Core concepts and frameworks in Analytics Ethics Theory applied to contemporary organisational cases Methods, tools, and professional standards Ethics, risk, and responsible practice Assessment: coursework, exam, or applied project	20

Year 3

Code

Course

Credits

DA301

Advanced Analytics

Advanced Analytics — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Advanced Analytics
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

DA302

Capstone Analytics Project

Capstone Analytics Project — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.

Core concepts and frameworks in Capstone Analytics Project
Theory applied to contemporary organisational cases
Methods, tools, and professional standards
Ethics, risk, and responsible practice
Assessment: coursework, exam, or applied project

Admission Requirements

A-levels BBB (or equivalent) in relevant subjects, or an Access to HE Diploma with Merit profile

International Baccalaureate 28 points, or high school diploma with GPA 3.0/4.0 minimum

Personal statement (400–600 words) explaining your academic interests and career goals

One academic reference from a teacher, tutor, or school counsellor

English proficiency: IELTS 5.5, TOEFL 46, or equivalent (waived for prior English-medium study)

Optional: portfolio or interview for creative and professional programmes

Recognised & Accredited