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Computer Science - Data Science (M.Sc./P.Grad.Dip)


Hochschule

Trinity College Dublin


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    Computer Science - Data Science (M.Sc./P.Grad.Dip)
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Studying Computer Science - Data Science (M.Sc./P.Grad.Dip) at Trinity College Dublin

The M.Sc. 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, Augmented & Virtual Reality and Future Networked Systems. The course is designed and taught by staff who are leading experts in their fields, and the course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe. We expect our graduates to be in high demand for high-end research and development positions within leading multi-national companies and start-up companies alike. In some cases our graduates have gone on to take up funded PhD studies at TCD.

 

Data Science or Big Data has become a hugely important topic in recent years, finding applications in Healthcare, Finance, Transportation, Smart Cities and elsewhere. In this strand, Trinity's leading experts in this field will guide you through how to gather and store data (using IoT and cloud computing technologies), process it (using advanced statistics and techniques such as machine learning) and deliver new insights and knowledge from the data.

 

The course is taught over a full calendar year, with two 12-week semesters of taught modules, involving attendance at labs and lectures, followed by dedicated research work over the remaining summer months for the MSc Dissertation.

 

In the first term (September - December), all students gain the necessary skills in a number of Core Modules common to the M.Sc. Programme. These include 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 specialist modules in their chosen strand, learning the key techniques of Data Mining & Analysis including classification techniques, neural networks and ensemble methods with practical work in the R language. Additionally, students discover how large data sets might be gathered and manipulated in large cloud computing facilities in the Scalable Computing module.

 

During the second term (January – March), students begin foundational work on their dissertation, and immerse themselves in further specialist modules of their chosen strand. The module on Optimisation Algorithms for Data Analysis will explore topics such as Convex optimisation, large dimension simulation. Applied Statistical Modelling will deal with many popular techniques such as Markov Chains and Monte Carlo Simulation with an opportunity to apply these techniques to a real data set. Students will learn how to reveal the insights derived from large data sets in the Data Visualisation module and cover essential crypto and security concerns of data in the Security & Privacy module. In addition, you can choose three additional electives (one in Term 1 and two in Term 2) from a pool of modules offered in the other strands of the M.Sc. programme.

 

The summer term (April – August) will be exclusively focused on the Dissertations, doing experimental work, building prototypes and writing up the work. By April, students will have chosen a Dissertation topic, picked and consulted with their chosen supervisor and be ready to devote substantial time to researching and prototyping your work. We expect that the top projects should deliver publishable quality papers over this period. During the year, all projects will be showcased to an industry audience comprising indigenous, small & medium employers and multinational companies.

 

Please note that the course content is updated on an annual basis and some changes occur from year to year. Students accepted on the course will be given formal module descriptors before the start of term.


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Computer Science - Data Science: Admission:

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++]
  •     A strong work ethic and the resolve to strongly engage with the demanding programme. This means, for example, that it will be extremely difficult to do the course while holding part-time employment.

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Übersicht der Masterstudiengänge - Trinity College Dublin

  Applied Building Repair and Conservation
 Biodiversity and Conservation
 Biomedical Engineering (M.Sc. / P.Grad.Dip.)
 Computer Science - Augmented and Virtual Reality (M.Sc./P.Grad.Dip)
 Computer Science - Data Science (M.Sc./P.Grad.Dip)
 Computer Science - Future Networked Systems (M.Sc./P.Grad.Dip)
 Computer Science - Intelligent Systems (M.Sc./P.Grad.Dip)
 Construction Law and Contract Administration (P.Grad.Dip.)
 Development Practice
 Electronic Information Engineering (M.Sc. / P.Grad.Dip.)
 Energy Science (M.Sc. / P.Grad.Dip)
 Engineering (Environmental / Structural and Geotechnical / Transport/ Sustainable Energy) (M.Sc/P.Grad.Dip)
 Environmental Monitoring, Assessment and Engineering (P.Grad.Dip.)
 Environmental Sciences
 Fire Safety Practice (P.Grad.Dip.)
 Health and Safety in Construction (P.Grad.Dip.)
 High Performance Computing
 Immunology (M.Sc.)
 Immunotherapeutics (M.Sc./ P.Grad.Dip (exit only))
 Mechanical Engineering (M.Sc./P.Grad.Dip)
 Music and Media Technologies (M.Phil.)
 Project Management (P.Grad.Dip.)
 Quantum Fields, Strings and Gravity (M.Sc. / P.Grad.Dip.)
 Smart and Sustainable Cities (M.Sc. / P.Grad.Dip.)
 Statistics (P. Grad. Cert.)
 Sustainable Energy (P.Grad. Dip)
    Advanced Radiotherapy Practice
    Applied Behaviour Analysis
    Applied Linguistics
    Applied Psychology
    Applied Social Research
    Bioengineering
    Biological Psychiatry
    Business and Management
    Cardiology
    Cardiovascular Rehabilitation and Prevention
    Child Protection and Welfare
    Childrens Literature
    Classics
    Clinical Chemistry
    Clinical Speech and Language Studies
    Clinical Supervision
    Cognitive Psychotherapy
    Comparative Literature
    Computer Science
    Conflict Resolution and Reconciliation
    Creative and Cultural Entrepreneurship
    Creative Writing
    Digital Humanities and Culture
    Disability Studies
    Drug and Alcohol Policy
    Early Irish
    Early Modern History
    Economic Policy Studies
    Economics
    Education (Aggression Studies)
    Education (Co-operative Learning)
    Education (Drama in Education)
    Education (Educational Guidance and Counselling)
    Education (Foundation Studies)
    Education (Higher Education)
    Education (Leadership and Management in Education)
    Education (Positive Behaviour Management)
    Education (Science Education)
    Education (Special Educational Needs)
    Electronic Information Engineering
    English Language Teaching
    Environment and Development
    European Studies
    Exercise Physiology
    Film Studies - Theory History Practice
    Finance
    Gender and Women´s Studies
    Gerontological Nursing
    Global Health
    Health Informatics
    Interactive Digital Media
    Interactive Digital Media (M.Sc.)
    Intercultural Theology and Interreligious Studies
    International and Comparative Law
    International and European Business Law
    International and European Intellectual Property Law
    International Management
    International Peace Studies
    International Politics
    Irish Art History
    Irish Writing
    Laws
    Linguistics
    Literary Translation
    Literatures of the Americas
    Management of Information Systems
    Master in Business Administration
    Medieval History
    Medieval Language Literature and Culture
    Modern Irish History
    Music Composition
    Playwriting
    Politics and Public Policy
    Popular Literature
    Psychoanalytic Studies
    Psychology (Applied Behaviour Analysis)
    Public History and Cultural Heritage
    Race, Ethnicity, Conflict
    Social Work
    Social Work Research
    Speech and Language Processing
    Stage Design
    Technology and Learning
    Textual and Visual Studies
    Theatre and Performance
    Theatre Directing
    Theological Studies
    Translational Oncology



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Hochschule

Trinity College Dublin


Studienort:Trinity College Dublin College Green
2 Dublin
Irland
Dublin Region
T  +35318961999
E  

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Dublin

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Abschluss

Master of Science

Unterrichtssprache

Englisch

Studienbeginn

Wintersemester - September 2021

Bewerbungsschluss

anfragen

Studienform

Vollzeit

1 Jahr Studienzeit

Kosten EU: keine Angaben

Kosten Nicht-EU: keine Angaben

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