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Training Course:

Computer Forensics

School/Trainer:

University of Westminster
London, United Kingdom

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' Computer Forensics is the chain of detection, identification, collection, preservation, analysis and presentation of digital evidence acceptable to a court of law. This course will provide a complex set of activities requiring not only an understanding of the theory of sophisticated information and communications technologies and an experience of their practical uses, but also a grounding in other disciplines, notably the law and legal process. Graduates will be able to analyse a data processing device to determine whether it has been used for illegal, unauthorised or unusual activities and set up appropriate automatic monitoring.

Course Content
The course considers and addresses:
- the critical evaluation of a variety of tools available on the open market, using forensic tools to retrieve data from electronic sources;
- the analysis of professional and ethical issues relating to computer forensics; and
- the development of professional competencies, such as report writing and presenting evidence in court.

Core modules:
Advanced Computer Forensics
Computer Forensics Project
Computer Forensic Technology
Computer Forensic Tools
Crime Scene Investigation
Data Recovery and Analysis
Expert Witness Requirements
Fundamentals of Computer Systems Forensics
Introduction to Computer Forensics
Research Methods
The Computer Forensics Profession

Teaching and Assessment
Teaching will take the form of lab-based sessions, student-led tutorials and lectures involving both internal staff and guest speakers from industry. Assessments will be carried out mostly through coursework, of either a practical or research-based nature, and through in-class tests. Assessments will be timed to enable formative and summative feedback throughout the course. Access to module teaching materials, links to resources and tools, and other course related information are web-based wherever possible.

Associated Careers
The course is intended for those involved with or wishing to be involved with corporate forensics or police computer forensics. It will prepare you for a range of roles within these disciplines, such as data recovery experts and crime scene investigators. The course is suitable for both IT practitioners and those with experience in the computer forensic or data recovery field.

Entry Requirements
You are normally expected to have a good Honours degree (at least 2.1) in a computing related discipline from a UK university or an overseas equivalent. Due to the technical nature of the course, if your first degree does not have a strong computing content you will only be considered if you can demonstrate that you have sufficient knowledge of computing and/or industry experience. If you do not meet these entry requirements you will also be considered according to your work experience and any other qualifications.

You must submit a statement of purpose with your application in which you should present your key interests and career aspirations, how you believe the course can help achieve these, and what relevant personal qualities and experience you will bring to the course. You may be invited by the admissions tutor to an informal interview. If your formal language of instruction is/was not English you are expected to demonstrate a reasonable command of the language by achieving a score of at least 250 in the computer-based TOEFL (or at least 600 in the paper test) or a score of 6.5 in each component of the IELTS test.
...''

Please go to the school's official website for training price and schedule:
http://www.wmin.ac.uk

Phone:+44 (0)20 7911 5000

School Address:

Headquarters Building, 309 Regent Street London W1B 2UW, UK


Jobs & Resumes: London
Houses & Roommates: London




Other training courses offered by University of Westminster:

Public Services Management
Teaching English to Speakers of Other Languages
Technical and Specialised Translation
Tourism Management
Oracle
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Business Psychology
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Cluster and Grid Computing
Computer Animation
Computer Networks and Communications
Computer Games Programming
Data Mining
Database
DSP for Multimedia Communications
e-Commerce
E-Business
European Logistics, Transport and Distribution
Facilities Management


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