Çerez Bildirimi

Kişiselleştirilmiş içerik, ilgili reklamlar ve gelişmiş işlevlerle size daha iyi bir tarama deneyimi sunmak için çerezleri kullanıyoruz. Tümüne izin vererek, Çerez Bildirimi'ne göre çerez kullanımını kabul etmiş olursunuz. Tercihlerinizi dilediğiniz zaman Çerezleri Yönet ekranı üzerinden değiştirebilirsiniz.

Ne öğreneceğim?

Course Description

This is a one year full time or two year part-time postgraduate course designed to provide graduate engineers with specialist understanding of modern computational products and systems. There is no aspect of modern life that is not now altered by information processing engines. Examples include digital assistants (speech recognition and synthesis), automotive (remote sensing and electronic control systems), the economy (quantitative automated trading), entertainment (audio video streaming and cinema visual effects), health (medical imaging), science (computational biology/geography/chemistry/photography) and the digital humanities. The principles enabling the design of this new wave of products are embodied in the discipline of Information Engineering. This course allows graduates to specialise in fundamental theory and applications relating to the generation, distribution, analysis and use of information in engineering and science.

Course Organisation

This M.Sc. course can be taken as either a full-time one year or part-time two year postgraduate course and consists of taught modules and a project amounting to 90 credits. The taught component comprises modules totaling 50 credits. In the first semester, students pursuing the course must take modules worth at least 25 credits, and in the second semester they take the balance of the credits. M.Sc. candidates will, in addition, complete a substantial research project and submit a dissertation which accounts for a further 40 credits to be eligible for consideration for the award of the degree. Part time students are required to take 50 credits of taught modules in the first year and the research project in the second year.

Course Content

All candidates are required to take the following module(s):

  • Research Project/Dissertation (40 credits)
  • Research Methods (15 credits)
  • Statistical Signal Processing (5 credits)
  • Introduction to Deep Learning (10 credits)

In addition, candidates select a further 20 credits from the following list to bring their total credits to 90:

  • Speech and Audio Engineering (5 credits)
  • Spatial Audio (5 credits)
  • Audio Production Engineering (5 credits)
  • Digital Media Systems (10 credits)
  • Wireless Networks and Communications (5 credits)
  • Complex Systems Science (5 credits)
  • Reconfigurable Hardware for Computational Engineering (10 credits)

Some of the module options in either semester may be withdrawn from time to time and some new modules may be added, subject to demand.

Hangi bölümdeyim?

Faculty of Engineering, Mathematics and Science

Öğrenim seçenekleri

Full Time (1 yıl)

Okul ücreti
€24,860.00 (TRY 437,907) Yıllık
Please refer Trinity College Dublin website for more up-to-date fee details.
Başvuru Tarihi

31 July 2022

Daha fazla bilgi

Başlangıç tarihi

Eylül 2022

Yer

Trinity College Dublin, the University of Dublin

College Green,

Dublin 2,

Dublin,

Republic of Ireland

Giriş koşulları

Amerika gelen öğrenciler için

Applicants will need to hold: at least a 2.1 honours degree from an Irish university or equivalent result from a university in another country; a fluent command of the English language. English Language Requirements: IELTS: Grade 6.5 overall; TOEFL: 88 internet-based, 570 paper-based, 230 computer-based; University of Cambridge: Proficiency Certificate, Grade C or better (CEFR Level C1 or C2); Advanced Certificate, Grade C or better (CEFR Level C1 or C2); Pearson Test of English (Academic) - PTE Academic: a minimum score of 63 to be eligible (with no section score below 59).

Uluslararası öğrenciler için

Admission is normally restricted to graduates who have achieved an upper second class honours degree (2.1), or better, in engineering, science, computing, statistics, mathematics or a related discipline. Well-qualified candidates or industry professionals from other numerate disciplines who have sufficient knowledge of computational aspects of engineering and science, may also be considered for admissions purposes subject to the decision of the Dean of Graduate Studies. We will also accept official MOOC certification from reputed online sources e.g. Coursera, eDX, the IET, the IEEE in relevant numerate topics as appropriate demonstration of pre-requisite knowledge.

All applicants whose first language is not English and who have not been educated through the medium of English must present one of the following qualifications in the English language:

  • IELTS: Grade 6.5 overall
  • TOEFL: 88 internet-based, 570 paper-based, 230 computer-based
  • University of Cambridge: Proficiency Certificate, Grade C or better (CEFR Level C1 or C2), Advanced Certificate, Grade C or better (CEFR Level C1 or C2)
  • Pearson Test of English (Academic) - PTE Academic: a minimum score of 63 to be eligible (with no section score below 59)

Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.

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