Computational Strand Course Structure

This M.Sc. course can be taken as either a full-time one-year or part-time two to three-year postgraduate course and consists of taught modules worth 60 credits and a project worth 30 credits.

A specialism in Computational Engineering is available for students selecting at least 15 ECTS from the Computational Engineering strand. MSc candidates complete a substantial project and submit a report which accounts for 30 credits. In addition to direct entry to the MSc, parallel Postgraduate Certificate, (30 ECTS), and Postgraduate Diploma (60 ECTS) entry routes are available for direct separate application. For students who successfully complete the postgraduate certificate and postgraduate diploma, there is an option to rescind these awards and apply to complete an MSc. Part-time students may follow the staged award path over 3 years of study with a possible gap of up to one year in between. Term dates and timetables can be found here EIE-Comp Semester 1 Timetable.

Course modules

EE7E02 MSc Research Project (30 credits) Prof. Anil Kokaram

EE5E2 Research Methods (5 credits) Dr. Enda Bates and Dr. Tim Savage

EEP55C36 Computational Methods and Algorithms (5 credits) Dr. Hossein Javidnia

EE5C16 Deep Learning and its Applications (10 credits - Semester 1) Dr. François Pitié

EEP55C34 Advanced AI (5 credits - Semester 2) Dr. Hossein Javidnia

EEP55C21 Cyber-physical systems and Control (10 credits - Semester 1) Dr. Harun Siljak 

EEP55C30 Algorithms for Quantum Computing (10 credits - Semester 1 and Semester 2) Prof Biswajit Basu 

EEP55C24 Simulation for Geophysical Modelling (5 credits - Semester 2) Prof Biswajit Basu 

EEP55C31 Data Science and AI for Transportation Engineering (5 credits - Semester 2) Prof Biswajit Basu and Dr Andrea Staino

EEP55C05 Digital Signal Processing (5 credits - Semester 1) Prof Naomi Harte 

EEP55C28 - Digital Wireless Communications (5 credits - Semester 1) Dr Arman Farhang

EEMT17 Spatial Audio (5 credits - Semester 2) D. Enda Bates

MEP55B21 Neural Signal Analysis (10 credits - Semester 1) Dr Alejandro Lopez Valdes

EEP55C27 - Next Generation Networks (5 credits - Semester 1) Dr Nicola Marchetti & Dr Marco Ruffini

EEP55C37 Introduction to Motion Picture Engineering (5 credits - Semester 2) Professor Anil Kokaram 

EE5M08 Digital Image & Video Processing (5 credits - Semester 2) Dr François Pitié 

EE5M02 Micro-Electronic Circuits (5 credits - Semester 1) Professor Phillip Christie 

EE5M01 Integrated Systems Design (5 credits - Semester 1) Dr Shreejith Shanker 

EEP55C33 Power System Analysis (5 credits - Semester 2) Dr Jin Zhao

EE5C04 Speech Technology (5 credits - Semester 2) Professor Naomi Harte

EEMT21 Introduction to XR: Applications and Technologies (5 credits - Semester 2) Dr Fionnuala Conway

EEP55C35 Advanced Audio Technologies (5 Credits - Semester 2) Dr Nils Peters

EEP55C32 VLSI Design (5 Credits - Semester 2) Dr George Floros

EEPMMT07 Audio Engineering (5 credits - Semester 1) Dr Jimmy Eadie