Internet of Things

Please note

This document only provides information for the academic year selected and does not form part of the student contract

Awarding Institution

University of Huddersfield

Final Award

MSc Master of Science

Teaching Institution

University of Huddersfield

School

School of Computing and Engineering

Department

Department of Engineering and Technology

Subject Benchmark Statement

Engineering (including Master's) (2019), PG Computing (2019)

Date of Programme Specification Approval

2023-11-24

Version Number

2023.02

Educational Aims of the Course

This course has been designed as part of a general development of taught postgraduate provision within the School of Computing and Engineering in line with the Corporate Plan of the University. This course operates within the Postgraduate CAT Scheme of the School, offering MSc programmes on full-time basis with September… For more content click the Read More button below.

The MSc in the IoT is designed to meet the demand for a new kind of IT specialist with skills - those who can:

Engineer new interactive products – things
Interconnect and embed these things into larger diverse systems and architectures;
Intelligently sense multi-modal data in physical and human environments;
Intelligently fuse and analyse the data collected.

Programme graduates will be able to pursue careers in the IoT positions in Industry, as well as initiate research in multiple scientific domains that rely on performing advanced IoT.

The course aims to enhance the technical effectiveness of recent graduates, thus increasing their immediate worth to industry in first-stage design/development roles. It seeks to do this by developing knowledge and understanding beyond undergraduate level across a range computing and engineering systems disciplines and by developing skills in the use of computer-aided design/development methods, cloud computing, communication systems, cyber physical system and security, but above all, it seeks to develop their ability to critically evaluate existing and emerging IoT technology, apply knowledge, understanding and analytical and design skills in support of technical design/development projects.

The main aims of the course are:

To develop the technical knowledge and design skills of graduates.
To prepare students for roles as design/development engineers in the area of the IoT systems.
To prepare graduates to apply the IoT technology in the areas such as smart cities, smart manufacturing, building automation and health care,
To enable graduates to develop management knowledge and skills appropriate to technical management.
To provide an opportunity for graduates to pursue a complementary discipline, knowledge of which may assist them in their chosen career path.
To develop and enhance students’ ability in undertaking a major design project encompassing the knowledge and skills acquired from the taught modules.

Course Accredited by

Institution of Engineering and Technology

Course Offering(s)

Full Time

Full Time - September

Full Time - January

Learning Outcomes

On successful completion you will be able to:

Comprehensive understanding of scientific principles and methodology necessary to underpin their education in the field of internet of things and allied engineering specialism.

Understanding of the systems approach to internet of things and allied engineering problems.

Knowledge and understanding of the commercial and economic context of engineering processes.

Knowledge of management techniques which may be used to achieve engineering objectives within their commercial and economic context.

Understanding of the requirement for internet of things and allied engineering activities to promote sustainable development.

Awareness of the framework of relevant legal requirements internet of things and allied engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

Understanding of the need for a high level of professional and ethical conduct in engineering.

Comprehensive knowledge and understanding of mathematical and computer models relevant to areas of internet of things and an appreciation of their limitations.

Wide knowledge and comprehensive understanding of design processes and methodologies relevant to the areas of internet of things.

10.

Thorough understanding of current engineering practice in the areas of control and measurement and its limitations, and some appreciation of likely new developments.

11.

Extensive knowledge and understanding of a wide range of engineering materials and components relevant to the areas of internet of things.

12.

Apply mathematical methods, tools and notations proficiently in the analysis and solution of internet of things and allied engineering problems.

13.

Investigate and define internet of things and allied engineering problems, identifying constraints including environmental and sustainability limitations, health and safety and risk assessment issues.

14.

Use fundamental knowledge to investigate new and emerging technologies within the areas of internet of things.

15.

Extract data pertinent to an unfamiliar problem and, in solving the problem, use computer based engineering tools when appropriate.

16.

Apply and adapt a wide knowledge and comprehensive understanding of design processes and methodologies in unfamiliar situations related to the areas of internet of things.

17.

Generate an innovative design for products, systems, components or processes related to the areas of internet of things to fulfill new needs.

18.

Apply engineering techniques within the context of the areas of internet of things taking account of a range of commercial and industrial constraints.

19.

Workshop and laboratory skills.

20.

Communicate effectively in both written and oral form.

21.

Work effectively in a team environment.

Course Structure

Masters Level

Masters Core

Masters Compulsory

Masters Optional

Interim Award

Postgraduate Certificate

Postgraduate Diploma

Teaching, Learning and Assessment

The core material in certain modules is taught through structured lectures, tutorials and practical laboratory-based experiments. In some modules, where dissemination is more effective by emphasising the practical aspects of the modules, the subjects are taught in laboratory-based sessions and small group seminars. In these sessions the learning is primarily students centered, guided by the tutor. Whichever methodology is used in a particular module, the teaching and learning strategy is designed to enable students acquire the knowledge and skills set out in the learning outcomes of the programme.

The IT resources of the School and the University are extensively used in all modules. This may consist of on-line learning material and exercises, Internet for gathering information and interactive demonstrations and examples. This type of learning environment allows students to take greater control of their own learning according to their time schedule and ability. This type of learning is in addition to the timetabled sessions where attendance is compulsory.

Formal assessments are designed to measure the students’ achievements in meeting the learning outcomes of individual modules. A variety of assessment strategies are used depending on the type and nature of the module. These include formal unseen examinations, reports on laboratory experiments, laboratory-based assignments and projects. In all cases, assessment takes place under the regulations set out in the Regulations for Awards.

The assessment strategy used in individual modules together with the weighting of their components is provided in supporting documentation.

Study Plans

Support for Students and their Learning

All students undertake Personal Development Planning.
The Course Leader is available to provide guidance on academic progress.
Module tutors are available to help with academic problems both inside and outside timetabled hours.
Supporting documentation is provided, either online or printed in the form of student handbooks, module handbooks, programme specifications and module specifications.
All modules and year groups are supported on the virtual-learning environment.

Criteria for Admission

The recruitment and admissions process endeavour to ensure a good match between the abilities and aptitudes of the applicants and the demands of the programme. The aim is to facilitate widening participation whilst ensuring that students can reasonably expect to succeed on their chosen course.

An entrant will normally be a graduate in computing or engineering or a related discipline. If entry is with a qualification at a lower level, but with compensating experience, the qualification and experience should both be in the area of computing and engineering.

Course entry requirements are as given on the University website: https://courses.hud.ac.uk/.

Entry requirements for this course are normally:

An Honours degree (2:2 or above) in one of the following subjects or a closely related science subject area or an equivalent professional qualification requiring a high level of numeracy.
- Electrical Engineering
- Electronics Engineering
- Manufacturing Engineering
- Physics
- Mathematics
- Computer Science

You are also encouraged to apply if you have other qualifications and/or experience and can demonstrate that you are equipped with knowledge and skills equivalent to Honours degree level.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our “Where are you from?” information pages.

Methods for evaluating and improving the quality and standards of teaching and learning

Quality and Standards

The University’s Teaching and Learning Committee has ultimate responsibility for quality and standards of teaching and learning in the University.
The School Board, via the School Teaching and Learning Committee has responsibility for implementing University policy through school-defined procedures.
Periodic school and subject reviews take place on a rolling quinquennial programme and focus inter alia on the arrangements for quality management and enhancement, teaching, learning and assessment, C&IT strategies, the articulation and assurances of standards, external examiner reports and evaluation and links with professional bodies, employers and other external organisations.

Monitoring, Development and Evaluation

The Course Committee is responsible for the monitoring and development of the course or programme, taking account of feedback from staff, students and external examiners. Feedback is sought as follows:
- From students through annual course and module evaluation questionnaires.
- From external examiners through annual reports, course assessment board minutes, assessment moderation reports and informal verbal communication during the year.
The annual evaluation of the course/programme is the responsibility of the School Board. The Course Committee prepares an annual evaluation report comprising reporting and evaluation, informed by feedback from staff, students and external examiners and by statistical data, under the following headings:
- Outstanding Issues from the previous Year
- Student Achievement
- Standards
- Student Learning Opportunities/Experience
- Teaching, Learning, Assessment and Curriculum Development
- Evaluation of Modules
- Student Applications/Enrolment
- Management and resources
- Summary of Actions required.

Validation of Courses, Modules and Changes

Course validation takes place under the University’s Quality Assurance Procedures for Taught Programmes.
Amendments to course/programme and module documents are validated by the School Accreditation and Validation Panel.

Teaching and Learning

The School Teaching and Learning Committee, a sub-committee of the School Teaching and Learning Committee, is tasked with implementing the University’s teaching and learning strategy and with fostering innovation in teaching and learning and the dissemination of good practice.
A process for peer observation of teaching is in place with the object of enhancing teaching practice and sharing ideas between staff.

Please note

University awards are regulated by the Regulations for Awards (Taught Courses) on the University website.

Quick links to the Regulations for Taught Students, procedures and forms can be accessed on the University website.

Regulation of Assessment

In order to qualify for the exit awards listed below, the following credits are required:

PgDip Internet of Things

120 credits, consisting of all taught modules on the programme, but excluding CMI3420 Individual Project / NME3509 Advanced Technical Project.

PgDip Computing and Engineering Studies

120 credits, consisting of 60 credits from the CMI3420 Individual Project or NME3509 Advanced Technical Project module and 60 credits from any other taught modules on the programme.

PgCert Internet of Things

60 credits, consisting of 15 credits from the CMI3501 Emerging Technologies for Cyber Physical Systems module and 45 credits from any other taught modules on the programme.

PgCert Computing and Engineering Studies

60 credits, consisting of any taught modules on the programme, excluding the CMI3501 Emerging Technologies for Cyber Physical Systems module and CMI3420 Individual Project / NME3509 Advanced Technical Project.

Exception to Regulations

All courses are accredited by the professional body, The Institute of Engineering and Technology (IET), as meeting relevant academic requirements for Chartered Engineer status. As a condition of accreditation, the following regulation, in addition to that currently found in the University of Huddersfield Regulations for Awards, must also be satisfied:

Where a module comprises two or more modes of assessment, all assessment components of weighting greater than 30%, are required to gain a minimum grade of no more than 10% below the pass mark.
- For M-Level modules the threshold will be 40%.

The following course regulation, which is a requirement of Professional body accreditation, will be applicable for student entry from academic year 2022-2023.

A maximum of 15 credits in a Master’s degree can be condoned (termed Compensation by the Engineering Council).

Indicators of Quality and Standards

The MSc Internet of Things course is ‘Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.’

Course and Module Catalogue