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MSc in Computer ScienceIntelligent 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)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Text Analytics Dissertation
Information Retrieval &Web Search Artificial Intelligence
Knowledge & Data Engineering Adaptive Applications
Advanced Software Engineering 1 Advanced Software Engineering 2
Research Methods and Innovation Option 2
Option 1 Option 3

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


Course Content

Along with the core modules in the first semester, in Knowledge & Data Engineering, you will learn about the semantic web including model design, reasoning and querying. The Adaptive Applications module is hands-on, exploring how applications can adapt to suit individual users. 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.  Finally, you can choose one subject (5 credits) from a pool of MSc modules allowing you to complement your core interests in Intelligent Systems.

All students in semesters one and two will cover a 10 credit  course in Advanced Software Engineering which explores the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring. Artificial Intelligence techniques including models of human cognitive architectures, knowledge representation techniques such as Ontologies and models of natural language processing.  This course is complemented by the Text AnalyticsText Analytics module  which demonstrates how finite-state methods, model theory and category theory can be used to analyse content and determine sentiment.  Finally, Option 2 and 3 allow you to once again broaden your core skills in Intelligent Systems with a module chosen from the other strands in this MSc programme.

By the time semester 3 has come along, you will have chosen your Dissertation topic, picked and consulted with your chosen supervisor and be ready to develop substantial time conducting research and prototyping your work.  We expect that the top projects should deliver publishable quality papers over this period.  At the end of the year, all projects will be showcased to an industry audience comprising indigenous, small & medium sized businesses and multinational companies.

Career Prospects

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.

The following is a sample of roles secured by graduates after completing this course

  • Research Engineer at Accenture
  • AI/ML Research Engineer at ADAPT Research Center
  • Head of AI at Agilis AS
  • Software Development Engineer at Amazon Web Services
  • Software Engineer II at Ammeon
  • Co-founder at an AI Technology Startup
  • Software Development Engineer at Apple
  • Cloud Service Engineer at Aspiegel
  • .Net Developer at Aspira
  • R&D Software Engineer at Aspire Technology Liited
  • Assistant Vice President at Bank of America
  • Deep Learning Engineer at Beautifeye
  • Software Engineer at China Mobile
  • Software Engineer at Circle
  • Lead Assessor at Code Institute
  • Solutions Engineer at Datadog
  • Solutions Engineer at Deloitte
  • Software Engineer at Ericsson
  • Software Engineer at Fidelity Investments
  • Data Scientist at First Data Corporation
  • .NET Software Developer at Gaming Innovation Group
  • AI/ML Scientist at General Motors
  • Consultant at Guidewire
  • Software Engineer at IBM
  • Software Engineer at Informatica
  • Sotware Engineer at Intel
  • Data Scientist at Intel Movidius
  • Full-Stack Developer at Learnovate Centre
  • Software Engineer at Liberty IT
  • Software Engineer at Mastercard
  • Technology Development Program Assoscaite at Optum
  • Machine Learning Engineer at Optum
  • Associate Java Developer at Paddy Power Betfair
  • Software development engineer at PILZ
  • Full Stack Engineer at Plentific
  • Software Engineer at SEA
  • Software Engineer at Stealth Mode Startup Company
  • Vision Engineer at Surewash
  • Software Engineer at Susquehanna International Group
  • Data Scientist at Tandem
  • Data Analyst at VHI
  • Software Engineer Intern at Vuzan Infotech


 

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