Integrated Computer Science

Year 5 (Master in Computer Science)

Students select to take the integrated Master in Computer Science (MCS) programme during their Senior Sophister year (typically the deadline is early in October), and as part of this programme spend the second half of Year 4 on an Internship programme. Details of how to apply for this programme are on the Senior Sophister page.

All Year 5 students take a Research Methods module and undertake a significant dissertation project (30 credits). They also select five elective modules from the list below counting for 25 credits some of which are run in Michaelmas term and some in Hilary term.

Core Modules

CS7092 – Dissertation

Module CodeCS7092Module NameDissertationECTS Weighting[1]30 ECTSSemester taughtSemester 2Module Coordinator/s  Assigned Supervisor Module Learning Outcomes On successful completion of the project, the students will be able to: derive, apply and adapt solutions…

Elective Modules

CS7DS2 – Optimisation Algorithms for Analysis

(Semester 2, 5 ECTS) The aims of this module are to give the student skills to model, analyse and solve optimisation problems that arise in data analytics and modern computing and communication systems.

CS7DS4 – Data Visualisation

(Semester 1, ECTS 5) This module aims to equip the student with the knowledge and tools to visualise data in ways that give insight and understanding.

CS7GV1 – Computer Vision

(Semester 1, 5 ECTS) Image processing, feature detection and matching, image registration, recognition
and segmentation – Motion flow and object tracking in video – Mathematics for
computer vision.

CS7GV2 – Mathematics of Light and Sound

(Semester 1, 5 ECTS) Wave equation and its solution; Maxwell´s equations; Fourier transform and analysis; vibration; mass-spring-damper systems; numerical methods; simulation software.

CS7GV3 – Real-Time Rendering

(Semester 2, 5 ECTS) This module deals with programming for GPU pipeline architectures e.g. geometry,
rasterisation, texturing, fragment / pixel and vertex shaders.

CS7GV4 – Augmented Reality

(Semester 2, 5 ECTS)
This course covers fundamentals and state-of-the-art in augmented reality, as well
as related areas of 3D computer vision and graphics.

CS7GV5 – Real-Time Animation

(Semester 2, 5 ECTS) The aim of this module is to provide students with a deep understanding of the theory and techniques behind real time animation.

CS7IS1 – Knowledge and Data Engineering

(Semester 1, 5 ECTS) The module is designed to explore the management, delivery and inter-operability of knowledge, information and data through knowledge and data engineering.

CS7IS3 – Information Retrieval and Web Search

(Semester 1, 5 ECTS) Explain the process of content indexing in information retrieval including stop word removal, conflation (stemming, string-comparison), and the language dependency of these methods.

CS7NS1 – Scalable Computing

(Semester 1, 5 ECTS) This module aims to provide a theoretical and practical understanding of modern scalable systems and architectures, from billions of highly distributed Internet of Things devices, through to present day concepts, such as Cloud architectures and systems.

CS7NS2 – Internet of Things

(Semester 2, 5 ECTS) In this module, students will explore the prevailing vision for an Internet of Things in
a practical, pragmatic manner.

CS7NS3 – Next Generation Networks

(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of
modern and next generation networking and systems concepts, principles, practices
and technologies. Contemporary and emerging wired and wireless network systems
are targeted.

CS7NS4 – Urban Computing

(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of urban
computing and associated cyber-physical concepts, principles, challenges and
solutions.

CS7NS5 – Security and Privacy

(Semester 2, 5 ECTS) The objectives of this module are: to develop an in-depth understanding of risk, data
privacy, threats and risks of security breaches, an awareness of computer security
(cryptographic) and protocol techniques, and an ability to make appropriate
decisions about securing data.

CS7NS6 – Distributed Systems

(Semester 2, 5 ECTS) This course takes a critical look at some of the architectural issues involved in, and paradigms available for, the construction of large-scale distributed systems such as the infrastructures supporting Google’s search engine or Amazon’s online sales platform. In particular, the course considers how to develop systems that must make trade-offs between performance, consistency, reliability, and availability.