Data Science & Big Data
Applied across fintech, retail and logistics. Pipelines, feature engineering, model selection with justification, and evaluation using metrics that suit the problem.
By course — jump to anotherComputer science & IT
By course
Computer Science and IT Course Help
Computing applications are at record highs, and the coursework has moved with them. Most modules now assess a working artefact plus a written report — and the report is where most of the marks quietly sit.
Computing and IT programmes we cover
Artificial Intelligence & Machine Learning
Deep learning, robotics and automation. Architecture choices explained, training documented, and results compared against a sensible baseline.
Cybersecurity & Software Engineering
Systems protection and cloud infrastructure. Threat modelling, secure design, the OWASP Top 10 addressed properly, and test evidence that a marker can follow.
Working code is only half the mark
On most UK computing modules the artefact is worth roughly half, and the report carries the rest. The report is where you justify the data structure, analyse complexity, evidence your testing and evaluate honestly what did not work. That is the half students rush the night before.
Design rationale is the single biggest differentiator. Choosing a hash map "because it is fast" earns nothing. O(1) average lookup against O(n) for the linear alternative, given the data volume you expect, earns the mark.
| Programme | Typical assessment | What loses marks |
|---|---|---|
| MSc Data Science | Analysis pipeline, model report, dissertation | Accuracy quoted on an imbalanced dataset instead of precision, recall and F1 |
| AI & Machine Learning | Model build, experiment write-up, literature review | No baseline to compare against, so no way to judge the result |
| Cybersecurity | Threat assessment, penetration report, secure design | Findings listed without severity, impact or remediation |
| Software Engineering | Working system, design rationale, test evidence | Code that runs but a report that never justifies the design |
Looking for how the discipline itself is marked rather than the programme? See our computer science and coding page, or browse every course.
Computer science and IT — your questions
Do you write the code as well as the report?
We produce commented, working reference code alongside the written documentation, so you can see how it fits together and explain it. It is study material: read it, understand the design decisions, then write and submit your own.
Which languages and tools do you cover?
Python, R, Java, C++, SQL, JavaScript and the usual frameworks, plus TensorFlow, PyTorch, scikit-learn, Docker and the main cloud platforms. Tell us what your module specifies and we will confirm before you pay.
Can you help with the dissertation as well as coursework?
Yes. Computing dissertations usually need a literature review, a build, an evaluation chapter and a critical reflection. We work chapter by chapter at your supervisor's pace rather than delivering the whole thing at the end.
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