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Turn data into decisions that matter
Online or on campus
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. Brigant 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.
On-campus study
Prefer to learn at our Edinburgh campus? On-campus delivery includes tuition fees, in-person seminars, and access to university facilities.
| Code | Course | Credits |
|---|---|---|
| DS501 | Statistics & Probability for Data Science | 3 |
| DS502 | Programming for Analytics (Python/R) | 3 |
| DS503 | Data Wrangling & SQL | 3 |
| DS504 | Data Visualisation & Storytelling | 3 |
| Code | Course | Credits |
|---|---|---|
| DS505 | Machine Learning Fundamentals | 3 |
| DS506 | Deep Learning & Neural Networks | 3 |
| DS507 | Natural Language Processing | 3 |
| DS508 | Time Series & Forecasting | 3 |
| Code | Course | Credits |
|---|---|---|
| DS601 | MLOps & Production Systems | 3 |
| DS602 | Big Data Technologies (Spark) | 3 |
| DS603 | MSc Data Science Capstone | 6 |
Recognised & Accredited
