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Turn data into decisions that matter
Online only
Data science sits at the intersection of statistics, computing, and domain expertise. This programme teaches you to frame business questions as analytical problems, wrangle messy real-world datasets, and communicate findings to non-technical audiences. Modules cover Bayesian inference, deep learning, NLP, and MLOps. You will work with public datasets from healthcare, finance, and climate science, building a portfolio that demonstrates end-to-end analytical capability.
Every module uses real datasets — never toy CSVs alone. You will document reproducible notebooks and present to a mock executive panel in the capstone. ALU partners with public-health NGOs for anonymised analytics projects.
Faculty spotlight
Dr. Priya Sharma, ex-lead data scientist at a global bank, teaches MLOps; Professor Daniel Mensah specialises in causal inference for policy evaluation.
Study online
Every programme can be completed fully online with zero tuition fees — study from anywhere in the world.
| Code | Course | Credits |
|---|---|---|
| DS501 | Statistics & Probability for Data Science Statistics & Probability for Data Science — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS502 | Programming for Analytics (Python/R) Programming for Analytics (Python/R) — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS503 | Data Wrangling & SQL Data Wrangling & SQL — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS504 | Data Visualisation & Storytelling Data Visualisation & Storytelling — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| Code | Course | Credits |
|---|---|---|
| DS505 | Machine Learning Fundamentals Machine Learning Fundamentals — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS506 | Deep Learning & Neural Networks Deep Learning & Neural Networks — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS507 | Natural Language Processing Natural Language Processing — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS508 | Time Series & Forecasting Time Series & Forecasting — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| Code | Course | Credits |
|---|---|---|
| DS601 | MLOps & Production Systems MLOps & Production Systems — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS602 | Big Data Technologies (Spark) Big Data Technologies (Spark) — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 3 |
| DS603 | MSc Data Science Capstone MSc Data Science Capstone — core module covering foundational concepts, applied practice, and formal assessment on this degree pathway.
| 6 |
Recognised & Accredited
