Course Content Section
The programme’s eight-week modules provide an introduction to and experience of computational thinking and problem solving across software, hardware, artificial intelligence, and with a specialism in Cyber Security. The research methods and research proposal modules develop your critical evaluation, academic research and writing skills providing a sound basis for your individual research project.
- Algorithms and Data Structures
- Software Engineering
- Advanced Programming
- Computer Architecture and Operating Systems
- Computer and Mobile Networks
- Artificial Intelligence and Machine Learning
- Cyber Security Threats
- Security Engineering
Research project development
The modules research proposal and independent research project should focus on ideas and
areas of interest within the scope of Cyber Security
- Research Methods
- Research Proposal
- Independent Research Project
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you’ll need upon graduation and then design the course to get you there.
Apply computational thinking to high security problems, using skills in analysis, design and implementation of computing systems, drawing on the foundations of cyber security and computer science and the current research literature.
Evaluation and Synthesis
Analyse a high security problem from a written description, derive security requirements and specifications from an understanding of problems, and create and/or justify designs to satisfy given requirements, applying knowledge of risk identification and security system analysis and design.
Software and hardware
Build computer-based systems of varying levels of complexity to serve the needs of users, making effective use of the variety of physical implementations on which that software may be running, and applying the theory and practice of programming and software engineering.
Critically evaluate and effectively apply computer systems and tools such as security risk assessment tools, source code analysis tools, software security testing tools and assurance case development tools for use to address high security problems, underpinned by a knowledge of how those systems work
Scope, plan, manage and execute an individual cyber security research project of significant size in cyber security, demonstrating critical engagement with the discipline.
Communicate complex computational problems and their solutions in written format to technical and non-technical professional colleagues, in a clear and organised manner and using compelling and convincing arguments drawn from relevant evidence.
Operate as responsible Computer Science professionals, by maintaining awareness of key legal and ethical issues and risk management.
Teaching and Assessment
You will be taught by a dedicated team of academic tutors with expertise in online delivery as well as a range of topics including cyber security, machine learning, networks, and software engineering. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.
The programme consists of 150 credits of taught modules and a 30 credit research project. Each 15-credit module is taught and assessed over eight weeks and represents 150 hours of work. All taught modules are asynchronous and structured for independent learning to fit around the other demands on your time. The research project consists of a real-world application of your choice and takes place over 16 weeks (300 hours’ work). You’ll study one module at a time and the modules run consecutively. Over the year there are two short breaks, in August and December.
You’ll begin with a solid grounding in computational thinking and the theoretical underpinnings of computer science, and apply them through basic programming techniques in the introductory module Algorithms and Data Structures. You’ll then move through the other taught modules, which are delivered in rotation. You’ll be assigned a Student Success Coordinator who will provide you with your schedule of modules and will also contact you prior to the start of each module to explain what happens next.
All modules are delivered through the Canvas learning management system. Within each module, you will participate in weekly activities which could include reading chapters from academic textbooks and journal articles, watching short educational videos, including micro- lectures, and taking part in discussion boards. You’ll study alongside a diverse cohort, students resident in different countries and bringing different backgrounds and experiences.
Assessment and feedback
To pass each module you will be required to submit at least one piece of summative assessment. You may also be expected to undertake formative assessments, which won’t contribute to your final mark but will help you develop the skills and understanding needed to do well in your summative work. Summative assessments will include individual written reports, academic essays, programming assignments and open book timed exams. All assessments take place online and to strict deadlines. You will receive written feedback for each piece of assessed work to support your development and learning.
Evidenced based technical report
Design and develop a solution to a problem, and provide a written report (structure often provided) discussing your decision process, highlighting benefits and limitations of the techniques or approach used. Drawing on the academic literature and examples from the development (sample code, design work, research) to support discussion.
Open book examinations
Timed examinations with a 48 hour window for completion with access to course notes and completed exercise. These are comprised of, multiple choice questions, short and long answer questions, producing diagrams that are uploaded to the examination point. These examinations require preparation, organising notes, and references sources and require application of understanding to unfamiliar scenarios and problems.
Given specific case studies or references present a discussion and concluding argument to a set of questions, or statements. Requiring the research, synthesis, and evaluation of the concepts presented in the reference material, presented as a discussion supporting distinct or required points and conclusions.
- Member of the elite Russell Group of major research-intensive universities
- Over 20,000 students and 4,000 staff from 150 countries
- Ranked joint 10th in the UK for the quality of research in the Times Higher Education
- 17th overall in the Complete University Guide 2023
- University of the Year shortlisted (Times Higher Education Awards 2023)
- University of the Year shortlisted (The Times and Sunday Times Good University Guide 2022)