University of East London | MSc Computer Science Offered through UNICAF

• The Induction module is designed to help new students feel comfortable in the new environment, introduce them to the ethos and culture of our institution, help them build relationships with other students and faculty members, and become familiar with methods of learning that will enable them to become effective online learners.

• The module introduces them to the practice of writing for academic purposes, setting the foundations for continued development and adaptation of those skills in all their academic and professional endeavours.

• It is a self-paced module with a maximum duration of two weeks so students can decide on the pace and timing of their learning experience and proceed from one section to the next at their own speed.

• This module provides students with conceptual knowledge in the analysis, design and validation of software systems and covers all stages of the software development process from requirements through to modelling, design and testing and project management techniques for managing this process.

• Main topics of study:

• Software Development Processes

- Requirements engineering: analysis, specification and validation

• Software Architecture and system modelling

- Software Testing: black box/ white box, unit/integration testing

• Project management and software quality

• Advanced topics in software engineering

• Learning outcomes and skills include knowledge of software engineering methodologies, thinking skills to evaluate and apply methods, subject-based practical skills to design and implement software projects, and group-working and assessment techniques.

• This module provides theoretical and practical background for big data analytics and developing big data systems.

• Main topics of study:

• Introduction to Big Data

• Setting up Big Data Stack

• Big Data Applications

• Data Acquisition

• Big Data Storage

• Batch Analysis

• Real-time Analysis

• Advanced Analytics

• Big Data Visualisation

• Legal, Social, Ethical Issues with Big Data Applications

• Outcomes include ability to design, implement and test Big Data systems, perform batch and real-time analytics and present analytics to technical and non-technical audiences.

• This module equips students with conceptual knowledge in AI and Machine Vision and competencies in digital image analysis and machine learning approaches.

• Main topics of study:

• History of AI

• Machine Learning & Big Data

• Neural Networks

• Deep Learning

• Digital image processing in spatial and frequency domain

• Image restoration, compression, segmentation and classification

• Mid-level and High-level vision related systems

• Ethical, Legal, Privacy and Social Issues within AI applications

• Outcomes include ability to design and build AI information systems using digital vision models and tools and analysis of ethical/legal/social implications.

• This module provides an overview of Cloud Computing, enabling technologies, data centres, virtualization, cloud storage and service models.

• Main topics of study:

• Fundamental ideas behind Cloud Computing, evolution and challenges

• Data centre design and management

• CPU, memory and I/O virtualisation techniques

• Deploying and managing resources in the Cloud

• Data centre standards and energy efficiency best practices

• Outcomes include understanding core cloud concepts, applying virtualisation techniques and assessing data centre trade-offs in power, efficiency and cost.

• Conduct a practical Master-level project related to the MSc scope including research, design, implementation, quality assurance, evaluation and project management.

• Main topics of study:

• Developing skills appropriate for a senior Computing Professional including mentoring skills, and strategies to improve health and well-being

• Engaging with real-world projects and computing professionals

• Research methods

• Literature surveys, searches and reviews

• Plagiarism and referencing

• Project planning, monitoring, risk assessment and control

• Academic writing and presentation skills

• The development, to a professional standard, of a recent development in the field of computer science

• Outcomes include producing a dissertation report, conducting Masters-level research and demonstrating professional computing skills within a business context.