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Course Description

The new MSc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Graphics and Vision Technologies and Future Networked Systems.

The course is designed and taught by staff who are renowned research leaders in their fields. The course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.

In the first semester, students gain the necessary skills in Research Methods (to enable students to produce their own dissertation), Innovation (to equip students with skills in company formation or innovating within a large company) and Machine Learning (a foundational technique for each of the specializations). In addition, students will make a start on their specialist modules in their chosen strand.

During the 2nd semester, students will begin foundational work on their dissertation, and immerse themselves in modules of their chosen strand.

The 3rd semester will be exclusively focussed on the Dissertations, doing experimental work, building prototypes and writing up the work.

We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from startup-companies alike. There will also be opportunities to progress to PhD study with many funded positions available locally.

Intelligent Systems Strand

The Intelligent Systems strand focuses on smart, interactive web applications and systems, which are becoming an integral part of our daily lives - at home, in the workplace, and in social interaction. Designing and building these systems requires expertise in artificial intelligence, human language understanding and generation, web systems and applications, data analytics and knowledge engineering. This strand is closely linked to the school's research groups involved in the ADAPT centre for Digital Content Technology.

Modules:

Michaelmas Term (Sept-Dec)
Machine Learning
Information Retrieval & Web Search
Knowledge & Data Engineering
Research Methods
Innovation
Option 1

Hilary Term (Jan-March)
Text Analytics
Artificial Intelligence
Adaptive Applications
Advanced Software Engineering
Option 2

Summer Term (April-August)
Dissertation

Option 1 and Option 2 are elective modules selected from the other strands.

Career Benefit

The marketplace of the future will see intelligent behaviour becoming the standard for computer systems. The courses within the Intelligent Systems strand will provide graduates with the ability to specialise in intelligent adaptive systems and artificial intelligence, providing them with the necessary skills to become leaders in these fields. Employment opportunities exist in a wide range of areas such as internet based services, financial services, mobile communication companies. Students will also benefit from the comprehensive research scope, networks, and wealth of research achievements in both the School and the ADAPT Centre.

Course Content

Along with the core modules in the first semester, you will gain a grounding in Information Retrieval & Web Search, you will examine in-depth the theoretical and practical issues involved in searching the web or any or large corpus of documents, including text processing, ranking scores, classification etc. In Knowledge & Data Engineering, you will learn about the semantic web including model design, reasoning and querying. Finally, you can choose one subject (5 credits) from a pool of MSc modules allowing you to complement your core interests in Intelligent Systems.

Saya termasuk departemen apa?

Faculty of Engineering, Mathematics and Science

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
€24.669,00 (Rp 424.813.297) per tahun
Please refer Trinity College Dublin website for more up-to-date fee details.

* Biaya yang tercantum di halaman ini untuk tujuan indikatif, silahkan baca informasi resmi dari universitas bersangkutan

Tanggal mulai

September 2021, Januari 2022

Tempat

Trinity College Dublin, the University of Dublin

College Green,

Dublin 2,

Dublin,

Republic of Ireland

Persyaratan masuk

Untuk mahasiswa dari Amerika Serikat

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).

Untuk mahasiswa internasional

For entry to the course, we require the following:

  • A II.1 (60-69%) grade or higher from a reputable university in Computing or strongly related discipline
  • A standard of English language competence that will allow full participation in coursework, classwork and other activities - this means an IELTS level of 6.5. For further details on this please visit the International Students Entry Requirements website
  • You need to be able to be fully competent in programming in C, C++ or Java [for Graphics and Vision Technologies, you will need to have or acquire competence in C++]

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)

Mungkin ada beberapa persyaratan IELTS yang berbeda, tergantung jurusan yang kamu ambil

Info tentang Trinity College Dublin

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