BSc (Hons) Cyber Security and Digital Forensics



Kingston University’s Cyber Security and Computer Forensics degree program is driven by student employability. The course curriculum is aligned with numerous industry recognised certifications; examples of which include Certified Information Systems Security Professional (CISSP) and Systems Security Certified Practitioner (SSCP) for cyber security and Access Data Certified Examiner (ACE) for digital forensics. Students are offered the unique opportunity to pursue industry recognised certification examinations at an appropriate time during their degree studies and to ultimately distinguish themselves professionally at an early stage in their future careers. With the additional support of local career services, students are supported to identify and pursue tangible career opportunities. The ultimate goal of this course is to nurture highly qualified cyber security and computer forensics graduates, who are optimised for placement in industry as skilled professionals.

Entry Requirements?

Three passes in one sitting at one of the following examinations or equivalent foreign qualifications

  • G.C.E. (A / L) – conducted by the Department of Examinations, Sri Lanka
  • A / Level – conducted by Pearson Edexcel, UK (London A/L)
  • A / Level – conducted by Cambridge International Examinations, UK (London A/L)
  • ESOFT International Foundation Diploma

Compulsory english language requirement :


  • C Pass in English for O/Levels or A/Levels
  • A minimum overall IELTS score of 6.0 (Minimum score of 5.5 for each element)

Programme Structure

Year 1

  • Computing Fundamentals
  • Programming I – Thinking like a programmer
  • Cyber Crime & Digital Forensics
  • Professional Environments 1

Year 2

  • Computing Systems
  • Professional Environments 2
  • Networking Concepts
  • Database-Driven Application Development
  • Industrial Placement*

Year 3

  • Individual project
  • Cyber Security
  • Internet Protocols and Services
  • Digital Entrepreneurship*
  • Software Development Practice*
  • Advanced Data Modelling*

*Optional Modules


36 months (academic delivery)
Assured internship opportunities available