Safety, Risk and Reliability Engineering MSc

HERIOT-WATT UNIVERSITY

Key information
Source: UCAS, March 2016.

DATA SOURCE : UCAS

Qualification type

MSc

Subject areas

Reliability / Quality Engineering Risk Management

Course type

Taught

Course summary
Source: UCAS, March 2016.

Risk has become a key concept in modern society. Growing concern about the environment and a number of disasters have served to focus attention on the hazards and risks involved in a wide range of activities from offshore oil production to rail and air transport; from the design of football stadia to the operation of chemical plants and environmental protection. Today there is a wide range of techniques available to assess risk and reliability, both in relation to safety and in the wider sense. These techniques now underpin new legislation on safety and have relevance over a broad spectrum of activities, including environmental and other systems, where risk and reliability are key concerns. This course is designed to give a thorough understanding of these techniques and experience of their application to a variety of real-world problems. It aims to provide students with an understanding of safety, risk and reliability engineering in both a qualitative and quantitative manner, and to develop the skills to apply this understanding. The programme will also introduce students to recent developments in analytical techniques, e.g. computer modelling of risk, reliability and safety problems. This programme is ideal for those in employment or with other commitments, providing flexible study options that fit around work or family. Students receive comprehensive materials for each course through an online Virtual Learning Environment.

Different course options
Source: UCAS, March 2016.

Study mode

Distance without attendance

Duration

2 - 7 years

Start date

SEP-16

Modules
These are the sub-topics that you will study as part of this course.

Source: HOTCOURSES, March 2016.

Systems Reliability - Core

This module gives an understanding of the qualitative and quantitative techniques that are used in the reliability, availability and maintainability analysis of all types of engineering systems. The syllabus is: Basic concepts of reliability, availability and maintainability; Failure rates, failure modes, and reliability data; Reliability of systems by reliability block diagram analysis of series and parallel systems; Reliability Centred Maintenance. This is semester 1 module.

Data Analysis and Simulation - Core

This module develops knowledge of statistical data analysis and its application in engineering and science and introduces the concepts of using simulation techniques for analysis of complex systems. It also teaches linear optimisation techniques and the ability to apply them to solve simple problems. This is semester 1 module.

Human Factors Methods - Core

This course will equip students from academic and/or industrial backgrounds with knowledge on, and the means to deploy, a wide range of specialist human factors techniques. The emphasis is on method selection, application, combination and integration within existing business practices. Students will develop a critical awareness of what methods exist, how to apply them in practice and their principle benefits and limitations. This is semester 1 module.

Tuition fees
Source: UCAS, March 2016.

UK fees
Course fees for UK / EU students

For this course £1162 per module

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course £1162 per module

Average for all Postgrad courses (per year)

£12,227

Entry requirements
Source: UCAS, March 2016.

For MSc level entry applicants must have a minimum of 2.2 Honours degree or equivalent academic qualification in cognate and semi-cognate subject area. For Postgraduate Diploma level entry applicants must have a 3rd Class Honours Degree in a cognate or semi-cognate subject area plus 2 years of relevant experience at an appropriate level completed post qualification; cognate or semi-cognate ordinary degree plus 3-4 years of relevant experience at an appropriate level following graduation. If English is not the applicant's 1st language a minimum of IELTS 6.5 or equivalent is required with all elements passed at 6.0 or above.