Master of Science in Embedded and Intelligent Systems

Course details

Programme Structure

This Masters degree programme consists of 8 modules and one individual project and the complete programme consists of 180 credit points.


MODULE TITLE CREDIT POINTS % EXAMINATION % COURSEWORK
Computer Architechture Design 15 60 40
Software Radio and DSP in Communications 15 60 40
Biometric Systems & Speech Processes 15 60 40
Operations Management 15 60 40
Artificial Intelligence 15 60 40
Advance Reconfigurable Systems and Applications 15 60 40
Sustainability and Smart Sysytems Engineering 15 60 40
Operations Research 15 60 40
Msc Individual Project 60 0 100
Entry Requirements

A first or second-class degree in Electronic Engineering, Computer Engineering, or a closely related discipline. In addition to the requirements stated above, students entering the programme and whose first language is not English or students whose medium of instruction on their qualifying programme was not English will be required to demonstrate a proficiency in English to IELTS score of 6.0 or an equivalent recognized qualification.

Module

Computer Architecture Design

Over the last decade, workstation performance has increased by over 50% each year. Only a part of this improvement can be attributed to improvements in semiconductor technology. Most of the improvement is the result of a series of dramatic changes in computer organisation and design. This module focuses on the on-going revolution in processor design. The overall aim is to provide the student with a detailed understanding of the trade-offs involved in high-performance processor design. Students will also study the memory hierarchy with a view to solving the so called memory wall problem. The Architecture of this module focuses on ways by which ILP and MII can be exploited, and on ways to improve both data processing and data access time of the memory subsystem. A more detailed description of the module content is provided in the module delivery information for students.

Software Radio and DSP in Communications

This module introduces the concept of Software-based approach to wireless radio systems, which offers advantages in terms of flexibility, re-configurability, operational efficiency and cost-effectiveness over the hardware methods. The scope of the module includes software radio concept and appropriate coverage of various digital signal processing techniques involved in digital communications and software radio in particular.

Biometric Systems & Speech Processes

This module is designed to introduce students to the fundamentals of biometrics and principles of speech processing. Treatment of material is both descriptive and analytical, with selected topics being treated at more depth. The study is supported by guided experimental work.

Operations Management

This module will cover the fundamentals and strategic aspects of operations management and will enable the students to develop their understanding of operational processes, techniques, planning and control systems. Students will examine case studies relating to both manufacturing and service operations to support lectures and guided learning.

Artificial Intelligence

This module is designed to introduce students to the fundamentals of artificial intelligence, such as fuzzy inference, neural networks, neuro-fuzzy and evolutionary computation. Students will also be given opportunities to further develop their knowledge of the principles of artificial intelligence, and to gain practical experience of the design, simulation and evaluation of intelligent systems.

Advanced Reconfigurable Systems and Applications

This course presents the architecture of the field programmable gate array (FPGA). It will introduce applications that are efficient for implementation on FPGA platforms. The student will appreciate the significant performance by implementing digital signal processing algorithms on an FPGA and will be able to benefit the parallel processing mechanism of FPGA implementation. Software tools will be introduced and used to simulate the applications on FPGAs.

Sustainability and Smart Systems Engineering

You will be introduced to sustainability and smart systems through a combination of lectures and practical, hands-on, sessions. The course also covers distributed smart systems design and addresses practical issues encountered in the real-world. The course provides a framework for understanding the details of different systems such that, whether as a potential purchaser or developer of these systems, you will be able to rapidly assimilate the details relevant to a particular requirement. From smart systems to smart cities, you will be exposed to the current and upcoming policies concerning the sustainability and low-carbon agenda. You will then be able to apply the knowledge, experience and understanding gained on this course to a range of environments a future employer may have chosen.

Operations Research

What makes the difference between a good decision and a bad decision? A good decision is one that uses analytical decision making, and is based on logic and considers all available data and possible.Programme Delivery

Day/ Evening/ Week end classes taught by University of Hertfordshire Fly-in faculty members and BMC Lecturers with Academic and industry experience.

Assessment and Grading System

Each module is assessed by course work and final exam. The weighting of course work and final exam varies. Please refer to the program structure for more details. The overall pass mark for each module is 50%.

The degree classification is calculated based on the average score of best 150 credits.

Distinction: 70% to 100%
Commendation: 60% to 69%
Pass: 50% to 59%
Expected date of release of Assessment result

Assessment results will be available to the students within 3 months upon completion of the last assessment for that assessment cycle. Appeal (if any) on assessment results must be lodged within 7 days after the release of assessment results.

Specimen Certificate

EmbeddedProgramme Delivery

Day/ Evening/ Week end classes taught by University of Hertfordshire Fly-in faculty members and BMC Lecturers with Academic and industry experience.

Assessment and Grading System

Each module is assessed by course work and final exam. The weighting of course work and final exam varies. Please refer to the program structure for more details. The overall pass mark for each module is 50%.

The degree classification is calculated based on the average score of best 150 credits.

Distinction: 70% to 100%
Commendation: 60% to 69%
Pass: 50% to 59%
Expected date of release of Assessment result

Assessment results will be available to the students within 3 months upon completion of the last assessment for that assessment cycle. Appeal (if any) on assessment results must be lodged within 7 days after the release of assessment results.

Specimen Certificate

EmbeddedProgramme Delivery

Day/ Evening/ Week end classes taught by University of Hertfordshire Fly-in faculty members and BMC Lecturers with Academic and industry experience.

Assessment and Grading System

Each module is assessed by course work and final exam. The weighting of course work and final exam varies. Please refer to the program structure for more details. The overall pass mark for each module is 50%.

The degree classification is calculated based on the average score of best 150 credits.

Distinction: 70% to 100%
Commendation: 60% to 69%
Pass: 50% to 59%
Expected date of release of Assessment result

Assessment results will be available to the students within 3 months upon completion of the last assessment for that assessment cycle. Appeal (if any) on assessment results must be lodged within 7 days after the release of assessment results.

Specimen Certificate

EmbeddedProgramme Delivery

Day/ Evening/ Week end classes taught by University of Hertfordshire Fly-in faculty members and BMC Lecturers with Academic and industry experience.

Assessment and Grading System

Each module is assessed by course work and final exam. The weighting of course work and final exam varies. Please refer to the program structure for more details. The overall pass mark for each module is 50%.

The degree classification is calculated based on the average score of best 150 credits.

Distinction: 70% to 100%
Commendation: 60% to 69%
Pass: 50% to 59%
Expected date of release of Assessment result

Assessment results will be available to the students within 3 months upon completion of the last assessment for that assessment cycle. Appeal (if any) on assessment results must be lodged within 7 days after the release of assessment results.

Specimen Certificate

EmbeddedProgramme Delivery

Day/ Evening/ Week end classes taught by University of Hertfordshire Fly-in faculty members and BMC Lecturers with Academic and industry experience.

Assessment and Grading System

Each module is assessed by course work and final exam. The weighting of course work and final exam varies. Please refer to the program structure for more details. The overall pass mark for each module is 50%.

The degree classification is calculated based on the average score of best 150 credits.

Distinction: 70% to 100%
Commendation: 60% to 69%
Pass: 50% to 59%
Expected date of release of Assessment result

Assessment results will be available to the students within 3 months upon completion of the last assessment for that assessment cycle. Appeal (if any) on assessment results must be lodged within 7 days after the release of assessment results.

Specimen Certificate

Embedded alternatives. Engineers and managers are decision makers, thus to achieve their goals, they must understand how decisions are made and know of which decision-making tools to use. To a great extent the success or failure of human resources and management depends on the quality of their decisions. Therefore, this module determines that with the use and implementation of good operations research decision-making tools, then the process of decision making should be made easier.

MSc Individual Project

The Masters Project is a key integrating feature of the programme. It is designed to challenge and develop critical thinking skills at a post-graduate level. It provides the student with the opportunity to bring together and apply much of what they have learnt both in their undergraduate and postgraduate studies. Potential projects are identified with the support of staff across the school covering a wide range of appropriate areas. Some will be based in industry, others based within our own laboratories. Students are supported through the delivery of an initial short course training programme designed to equip them with the necessary project management, research methodology, investigation tools and analysis skills necessary to undertake a Masters level project. They will also be allocated and supported by individual project supervisor. It is expected that the project will require 600 hours of student effort and will result in a worthwhile and practical contribution to the chosen subject area..