Tuition Fee
GBP 20,700
Per year
Start Date
2025-09-01
Medium of studying
Duration
36 months
Program Facts
Program Details
Degree
Bachelors
Major
Computer Science | Cybersecurity
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 20,700
Intakes
Program start date | Application deadline |
2024-09-01 | - |
2025-09-01 | - |
About Program
Program Overview
The Computer Science (Digital Forensics) BSc (Hons) program at Keele University equips students with a solid foundation in computer science and digital forensics, enabling them to tackle cybercrime and enhance national security. Through practical labs, advanced modules, and a final-year research project, students develop skills in data recovery, evidence analysis, and forensic techniques, preparing them for careers in digital forensics and related fields. The program is accredited by the British Computer Society and offers opportunities for work experience and international study.
Program Outline
Degree Overview:
Program Title:
Computer Science (Digital Forensics) - BSc (Hons)
Program Objectives:
- Equip students with a solid foundation in computer science and digital forensics.
- Develop practical skills and knowledge in data recovery, digital forensics techniques, and evidence analysis.
- Enable students to locate, analyze, and compile evidence admissible in a court of law.
- Prepare students for careers in tackling cybercrime and enhancing national and international security.
Program Description:
- Focuses on practical computer programming and software development.
- Provides a strong grounding in the theoretical underpinnings of digital forensics, including evidence handling, forensics principles, programming fundamentals, and computing science.
- Emphasizes practical application through digital forensic laboratories equipped with industry-standard tools and software.
- Offers opportunities for specialization in digital forensics through advanced modules and a final-year research project.
- Encourages work experience through industry placements, internships, and research projects.
- Integrates cutting-edge research from the Computer Science division into the program's curriculum.
Outline:
Course Content:
- Covers fundamental concepts of computer science, programming, digital forensics, evidence handling, and cybercrime investigation.
- Offers advanced modules in digital forensics, research, and specialist areas.
- Includes a final-year research project focusing on specialized areas of digital forensics.
- Provides opportunities for optional modules in related fields like interaction design and criminalistic methods.
Course Structure:
- 3-year full-time program with an optional 4th year for international or placement year.
- Delivered through a combination of lectures, lab sessions, tutorials, and independent study.
- Access to digital forensic laboratories equipped with industry-standard tools and software.
- Opportunities for work experience and international study.
Individual Modules:
- Introduction to Programming: Covers fundamental programming concepts and skills.
- Cybercrime: Explores the nature and impact of cybercrime on businesses and national security.
- Fundamentals of Computing: Introduces the principles and applications of computing systems.
- Introduction to Algorithms: Examines the design and analysis of algorithms for problem-solving.
- Systems and Architecture: Covers computer hardware, operating systems, and network architecture.
- Communication, Confidence and Competence: Develops communication, teamwork, and presentation skills.
- Identification and Investigation (Digital Forensics): Introduces digital forensics techniques for evidence identification and investigation.
- Object-Oriented Programming: Explores object-oriented programming principles and methodologies.
- Fundamentals of Data Science: Introduces the fundamental principles of data science and its applications.
- Computational and Artificial Intelligence I: Covers the principles and techniques of artificial intelligence and machine learning.
- Web Technologies: Examines web technologies and their applications in web development.
- Database Systems: Explores database management systems and their use in data storage and retrieval.
- Human-Computer Interaction: Investigates the interaction between humans and computer systems.
- Digital Forensics: Provides in-depth knowledge and skills in digital forensics techniques and tools.
- Software Engineering: Covers the principles and practices of software development.
- Computer Graphics and Animation: Introduces the principles of computer graphics and animation.
- Criminalistic Methods: Examines methods and techniques used in criminalistic investigations.
- Computer Game Development: Explores the development of computer games and interactive systems.
- Third Year Double Project - ISP: Conducts an independent research project on a chosen topic in digital forensics or related fields.
- Cyber Security: Examines cyber security threats, vulnerabilities, and mitigation strategies.
- Data Ethics and Security: Explores the ethical and legal implications of data collection and use in digital forensics.
- Digital Forensics Techniques and Applications: Deepens understanding of advanced digital forensics techniques and their applications in real-world scenarios.
- Advanced Programming and Software Design: Develops advanced programming skills and software design principles.
- Computing in Education: Explores the use of computers and technology in教育.
- Advanced Databases and Applications: Examines advanced database technologies and their applications.
- Communications and Networks: Covers advanced communication technologies and network architectures.
- Advanced Web Technologies: Explores advanced web technologies and their applications.
- Computational and Artificial Intelligence II: Deepens understanding of advanced artificial intelligence and machine learning techniques.
- Games Computing: Examines the development of complex game systems and artificial intelligence for games.
- Software Development Management: Covers the management principles and practices in software development projects.
- Machine Learning Applications: Examines the applications of machine learning in various domains.
Assessment:
- Utilizes a variety of assessment methods including:
- Class tests
- Coursework assignments
- Dissertation
- Oral presentations
- Posters
- Short reports
- Tutorials
- Unseen examinations
Teaching:
- Employs a modern and immersive approach to learning:
- Balanced lectures with lab-based sessions
- Online learning opportunities
- Virtual learning environment support
- Provides access to cutting-edge facilities:
- State-of-the-art Central Science Laboratories
- Colin Reeves Building housing the School of Computer Science and Mathematics
Careers:
- Opens doors to a wide range of career opportunities in:
- Computer forensics
- Cyber forensic investigation
- Digital forensics analysis
- Forensics engineering
- Security analysis
- Senior consulting in digital forensics
- Senior digital forensics and incident response
Other:
- The program is accredited by the British Computer Society - The Chartered Institute for IT.
- The degree title includes a specialization in Digital Forensics, providing graduates with a competitive edge.
- The program culminates with a final-year research project, preparing students for further research and postgraduate studies.
- The program encourages work experience through industry placements, internships, and research projects.
- Studying abroad opportunities are available to broaden students' perspectives and experiences.
- Keele University is awarded Gold in the Teaching Excellence Framework (TEF), highlighting its commitment to high-quality teaching and student success.
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