Teaching and assessment for Data Science & Engineering MSc

School of Science and Engineering

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Teaching

A range of teaching methods will be used to support your learning including:

lectures
tutorials
seminars by academic and industry experts
external industry talks

Assessment

You will be assessed by:

written and practical coursework
examinations
presentations
interviews
a research project

Modules

Core Modules

These modules are an essential part of your course.

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Module code: AC51041 Credits: 20 Semester: Semester 1

This module introduces the principles and practices of DevOps and microservices.

You will explore how modern software systems are designed for continual deployment and how cloud services can be structured and delivered at scale.

Combining theory with hands-on development, you will build a cloud-based microservices system using industry tools.

Devops and MicroServices full module details

Module code: AC51048 Credits: 20 Semester: Semester 2

This module explores the principles and technologies behind big data and large-scale data processing. You will learn how to manage, analyse, and extract insights from massive datasets using distributed computing frameworks and programming tools.

Big Data Analysis and Distributed Programming full module details

Module code: CS51004 Credits: 10 Semester: Semester 1

Look into the ethical, societal, and regulatory dimensions of artificial intelligence. You will examine how AI systems impact privacy, fairness, and accountability, and how governance frameworks shape their development and use.

Societal Impact and Ethics of Artificial Intelligence full module details

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