Master of Science (SW) - SMS

Master of Science - MS240

Postgraduate Diploma - PD

Master of Science - MS

Students on 2 year versions of the programme will also take one of these modules

Placement Year./MS240

Level 7 Optional Year 

Level 7 Core

Level 7 Optional

Level 7

Programme Structure

<ul>
<li>a minimum 2:2 BEng Honours degree in Electrical, Electronics or Telecommunications Engineering, or a related engineering discipline</li>
</ul>
or
<ul>
<li>a minimum 2:2 Honours degree in Mathematics or a physical science, combined with relevant experience in an engineering field or working with Sensors and Data Analytics</li>
</ul>

<ul>
<li>a minimum 2:2 BEng Honours degree in Electrical, Electronics or Telecommunications Engineering, or a related engineering discipline</li>
</ul>
or
<ul>
<li>a minimum 2:2 Honours degree in Mathematics or a physical science, combined with relevant experience in an engineering field or working with Sensors and Data Analytics</li>
</ul> Offerings: All

<ul>
<li>MEng graduates may qualify for up to 20 RPL credits if they have previously studied one of the option modules (or an equivalent) offered at M-level</li>
</ul>

<ul>
<li>MEng graduates may qualify for up to 20 RPL credits if they have previously studied one of the option modules (or an equivalent) offered at M-level</li>
</ul> Offerings: All

<ul>
<li>IELTS 6.0</li>
</ul> Offerings: All

Work within time constraints and an ability to prioritise workloads in order to deliver to deadlines.

Critically evaluate the limitations of current knowledge and the changing nature of technologies and society, and the need to gain new knowledge through further study and team-based project work in the field of sensors, big data and their applications.

Critically evaluate and select the most appropriate research methodologies for the solution of professional and commercial problems in a timely and robust manner.

Display and evidence enhanced self-learning skills appropriate to the attainment of an FHEQ level 7 qualification.

Evaluate developing technologies related to sensors, data and their applications.

Prepare and present technical/business reports and presentations to a professional level and to speak with authority on their engineering discipline.

Apply appropriate analytical and modelling techniques to a range of engineering problems and demonstrate the ability to apply the appropriate strategies to the application of analysis tools to solve practical engineering problems.

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

Apply mathematical and computer-based models for solving problems in engineering, and the ability to critically evaluate the limitations of particular cases related to handling big data and employing sensors in practical application scenarios.

Critically evaluate designs, processes and products, and identify and make improvements by using problem-solving skills and appropriate software /and hardware.

Instigate, plan and manage engineering/technical projects, taking into account the commercial, industrial, and customer requirements.

Generate and synthesise evidence required in the solution of complex engineering problems.

Demonstrate comprehensive knowledge and critical awareness of essential facts, concepts, theories and principles of electronics surrounding sensors and mathematical concepts surrounding big data analysis, and their underpinning science and mathematics.

Propose methodologies to extend existing projects to achieve improvement and extended learning.

Use fundamental knowledge to investigate new and emerging technologies and synthesise solutions comprising sensor and data analysis to engineering problems.

Demonstrate a comprehensive understanding of the principles of management and engineering business practice techniques for evaluation of technical and business risks and their limitations and potential pitfalls.

Appreciate the social, environmental, ethical, economic and commercial considerations affecting the exercise of their engineering judgement.

Critically analyse results from experimentation in a related field and discuss the implications of those results.

Demonstrate a comprehensive and systematic understanding of the scientific principles of Electronics and Communication engineering and related engineering disciplines.

Conduct a research study to critically evaluate state-of-the-art from literature in a field related to the study and make suggestions for improving some of the issues encountered in the methods for specific applications.

Design experimentation/simulation to model new concepts/hypothesis in a related field of study.

Work on an independent project that will add knowledge to the existing state-of-the-art in a research area related to the field of study.

Demonstrate comprehensive knowledge and understanding of mathematical and computer models relevant to electronics, data science and related engineering disciplines, and an appreciation of their limitations.

Communicate effectively in a professional manner by the means of written and spoken technical English.

Produce a design/system that satisfies a given specification.

Course Catalogue

Sensors, Data and Management - 36092 - MSc