Masters Degrees in Computer Science, Ireland

Overview

Typically, a MSc takes two years to complete (three years if taken part-time); at the end of the first year the student may have the option to transfer to the PhD register if they so wish subject to satisfactory progress.

The aim of the Structured MSc in Computer Science is to provide the student with an opportunity to carry out a significant body of research work with support from the teaching component of the programme. The programme will offer academic subjects to enhance their knowledge as well as transferable and generic skills that will add significantly to the MSc experience by broadening the skill base of the candidate.

The first step is to identify a potential supervisor. This involves deciding on a general research area that you are interested in and to contact a member of the department’s staff that is working in that area. The best approach is to look through the staff web pages and the list of Research Groups/Projects in the department.

Research postgraduates are typically (though not exclusively) funded during their research. Support varies depending on the source, but at best, funding can include payment of fees, a salary and travel expenses. Note that all funding programmes are highly competitive, and most are contingent on the applicant securing high marks in their primary degree.

Course Structure

Potential MSc students should decide on a general research area that they’re interested in, and then contact a member of the department’s staff that’s working in that area. The best approach is to look through the staff web pages and the list of Research Groups/Projects in the department – these can be found at https://www.maynoothuniversity.ie/computer-science/our-research

Research students can also register to work jointly with the Department of Computer Science and one of the following MU research institutes: National Centre for Geocomputation, An Foras Feasa, the Hamilton Institute and the Innovation Value Institute. Please see the entries for these institutes for more details of the research topics available.

Career Options

On completing an MSc in Computer Science the graduate has a number of options open to them. They can continue to build their career as a researcher in academia or pursue a career in the technology industry.

Other possibilities include working in scientific research administration or a hightech start-up environment. The experience and discipline gained from completing an MSc in Computer Science also can open other avenues outside of Computer Science where these skills are prized.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MHG04 Full-time
MHG05 Part-time

The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Personal Statement.

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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Overview

The MSc in Computer Science (Applied) offers students with degrees that include three years of Computer Science a personalised programme of advanced CS modules to enhance their knowledge and fit their strengths. Furthermore, students deepen their research and practical skills through a project and dissertation plus an industrial work placement meaning they will get the opportunity to apply the skills from the lecture hall and the research laboratory in a real industrial environment. This will be a key part of their training and enhance their employment prospects following their graduation.

Course Structure

The course lasts two years. In year one, students will do 12 taught modules selected to complement their previous experience and knowledge. In year 2, semester 1 consists of an advanced module in programming plus a choice of optional modules. In addition, student undertake a major individual software project and preparation for work placement. In semester 2, students are placed within software companies to gain at least six months of relevant work experience.

Graduates of the MSc in Computer Science (Applied) will be well placed to obtain positions in the software industry as programmers, designers and developers. In addition they will have an all-round qualification in computer science that makes them eligible for a wide range of computer-related positions.

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About the Course

1. Big Challenges being addressed by this programme – motivation

• Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep technical and analytical skills.
• Accenture, Gartner and McKinsey have all identified Data Analytics as one of the fastest growing employment areas in computing and one most likely to make an impact in the future.
• The Irish Government’s policy is for Ireland to become a leading country in Europe for big data and analytics, which would result in 21,000 potential new employment opportunities in Ireland alone.
• CNN has listed jobs in this area in their Top 10 best new jobs in America.

2. Programme objectives & purpose

This is an advanced programme that provides Computing graduates with advanced knowledge and skills in the emerging growth area of Data Analytics. It includes advanced topics such as Large-Scale Data Analytics, Information Retrieval, Advanced Topics in Machine Learning and Data Mining, Natural Language Processing, Data Visualisation and Web-Mining. It also includes foundational modules in topics such as Statistics, Regression Analysis and Programming for Data Analytics. Students on the programme further deepen their knowledge of Data Analytics by working on a project either in conjunction with a research group or with an industry partner.

Graduates will be excellently qualified to pursue careers in national and multinational industries in a wide range of areas. Our graduates currently work for companies as diverse as IBM, SAP, Cisco, Avaya, Google, Fujitsu and Merck Pharmaceuticals as well as many specialised companies and startups. Opportunities will be found in:
• Multinational companies, in Ireland and elsewhere, that provide services and solutions for analytics and big data or whose business depend on analytics and big data technologies;
• Innovative small to medium-sized companies and leading-edge start-ups who provide analytics solutions, services and products or use data analytics to develop competitive advantage
• Companies looking to extend their research and development units with highly trained data analytic specialists
• PhD-level research in NUI Galway, elsewhere in Ireland, or abroad

3. What’s special about CoEI/NUIG in this area:

• The MSc in Computer Science (Data Analytics) is being delivered by the Discipline of Information Technology in collaboration with the Insight Centre for Data Analytics (http://insight-centre.org) and with input from the School of Mathematics, Statistics and Applied Mathematics in NUI Galway
• The Discipline of Information Technology at NUI Galway has 25-year track record of education, academic research, and industry collaboration in the field of Computer Science
• The Insight centre at NUI Galway is Europe’s largest research centre for Data Analytics

4. Programme Structure – ECTS weights and split over semester; core/elective, etc.:

• 90ECTS programme
• one full year in duration, beginning September and finishing August
• comprises:
- Foundational taught modules (20 ECTS)
- Advanced taught modules (40 ECTS)
- Research/Industry Project (30 ECTS).

5. Programme Content – module names

Sample Foundational Modules:

• Tools and Techniques for Large Scale Data Analytics
• Programming for Data Analytics
• Machine Learning and Data Mining
• Modern Information Management
• Probability and Statistics
• Discrete Mathematics
• Applied Regression Models
• Digital Signal Processing

Sample Advanced Modules:

• Advanced Topics in Machine Learning and Information Retrieval
• Web Mining and Analytics
• Systems Modelling and Simulation
• Natural Language Processing
• Data Visualisation
• Linked Data Analytics
• Case Studies in Data Analytics
• Embedded Signal Analysis and Processing

6. Testimonials

Ms. Gofran Shukair, MSc, Research Engineer at ZenDesk, Ireland

After graduating with an MSc at NUI Galway, Gofran worked with Fujitsu’s Irish Research Lab as a research engineer before moving to a software engineering position at Zendesk, Ireland.

“The mix of technical and soft skills I gained through my Masters studies at NUI Galway is invaluable. I had the chance to work with great people and to apply my work on real world problems. With the data management and analysis skills I gained, I am currently pursuing my research in an international research project with one of the leading IT companies. I will be always thankful for studying at NUI Galway, a great historic place based in a culturally-rich vibrant city with an international mix of young and ambitious students that made me eager to learn and contribute back the moment I graduated.”

For further details

visit http://www.nuigalway.ie/courses/taught-postgraduate-courses/msc-in-computer-science-data-analytics.html

How to Apply:

Applications are made online via the Postgraduate Applications Centre (PAC) https://www.pac.ie
Please use the following PAC application code for your programme:

M.Sc. Computer Science – Data Analytics - PAC code GYE06

Scholarships :

Please visit our website for more information on scholarships: http://www.nuigalway.ie/engineering-informatics/internationalpostgraduatestudents/feesandscholarships/

Visit the M.Sc. Computer Science – Data Analytics page on the National University of Ireland, Galway web site for more details!

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Overview

The Higher Diploma in Science (Computer Science) is a postgraduate course intended for graduates whose primary degree included 3-year’s study of Computing. On completion of the course participants would be expected to reach a level of competence equivalent to that of a four year BSc graduate in Computer Science.

Course Structure

Students choose, subject to module prerequisites, 9 modules; modules chosen must not have been covered at this level in a previous qualification. In addition a project is required.

Career Options

The course brings graduates to a level equivalent to a 4-year degree in computer science and to apply for jobs intended for such graduates. Graduates will be eligible to apply for further postgraduate study including taught MSc in Computer Science and MSc/PhD by research.

Find out how to apply here https://www.maynoothuniversity.ie/computer-science/our-courses/higher-diploma-science-computer-science#tabs-apply

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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Overview

The Master of Science in Software Engineering degree at Maynooth University exposes graduates in Computer Science and related disciplines to the many facets of this complex area – the technical, the methodological, the organizational – so that successful participants will subsequently be able to lead major projects in software engineering in many industrial and commercial sectors.

Course Structure

Each module is delivered as a series of intensive lectures. Each module also has associated practical work. Topics include software testing, software process, object-orientated programming, internet solutions, etc.

Participants submit a dissertation based on a Software Engineering topic. They also complete a work placement in industry (normally with a salary) organised by the University Placement Office.

Course Duration: 2 years overall (1 year full-time taught modules. 6 months dissertation. 6 months work placement)

Career Options

Students are qualified for many jobs in the software industry. Many students gain full-time employment with the company who sponsor their work placement. Past graduates in the Masters programme have been accepted for membership of the IEI. Associate membership (AIEI) has been granted to those graduates with less than 2 years work experience, with Ordinary membership (MIEI) granted after a minimum of 2 full years work experience.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MHG50 Full-time

The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

· Certified copies of official transcripts of results for all qualifications listed in your application

· Transcripts of results in languages other than English should be accompanied by a translation into English PLUS a copy of the original certificate indicating the award

· Two letters of recommendation (at least one from the institution you have graduated/will graduate from)

· Your CV (we recommend that you use the European Format: see http://europass.cedefop.europa.eu for details)

· A copy of your Birth Certificate or valid Passport

· For non-native speakers of the English language, certificates of competency in the English Language (IELTS, TOEFL, or PTE)

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Many national and multinational companies employ computer science graduates in areas such as software development and engineering, artificial intelligence, systems and networks, database and systems security as well as mobile multimedia, modelling, research and development. You will also get the chance to demonstrate the skills you have learned by completing a substantial research and development project.

Visit the website: http://www.ucc.ie/en/ckr40/

Course Details

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits) (15 credits from Group 1 and 15 credits from Group 2 below)
- Research & Development Project (30 credits)

Core Modules

CS6403 Case Studies in Computing Entrepreneurship (5 credits) - Dr. John Herbert
CS6406 Large-Scale Application Development and Integration 1 (5 credits) - Prof. Gregory Provan
CS6407 Large-Scale Application Development and Integration 2 (5 credits) - Prof. Gregory Provan
CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen
CS6410 Project Development Skills (5 credits) - Mr. Marc Van Dongen

Elective Modules Group I

CS6312 Mobile Devices and Systems (5 credits) - Dr. Dan Grigoras
CS6314 Mobile Applications Design (5 credits) - Dr. Sabin Tabirca
CS6320 Formal Methods for Distributed Systems (5 credits) - Dr. John Herbert
CS6321 Model-Based Software Development (5 credits) - Dr. John Herbert
CS6322 Optimisation (5 credits) - Dr. Steve Prestwich

Elective Modules Group 2

CS6313 Services and Mobile Middleware (5 credits) - Dr. Dan Grigoras
CS6315 Mobile Systems Security (5 credits)
CS6316 Cellular Network Services (5 credits)
CS6317 Multimedia Technology in Mobile Networks (5 credits) - Dr. Sabin Tabirca
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6325 Network Security (5 credits) - Dr. Simon Foley
CS6405 Datamining (5 credits) - Dr. Marc Van Dongen

Research Phase (after period 2)

CS6400 Dissertation in Computing Science (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

- Postgraduate Diploma in Computing Science -

Students failing to achieve an aggregate of at least 60% across all modules but who achieve a pass in each of the taught modules at their first attempt graduate with a Postgraduate Diploma in Computing Science. Students may also opt to exit the programme and graduate with a Postgraduate Diploma in Computing Science provided they have achieved a pass in each module.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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The Higher Diploma in Applied Computing Technology is a CONVERSION COURSE open to graduates from non-computing disciplines. The course provides you with an understanding of the principles of internet-based computer systems and will equip you with a range of core IT skills, including web design, web server configuration, managing and manipulating multimedia content, interfacing with databases and working with common office software.

Visit the website: http://www.ucc.ie/en/cko08/

Course Details

The Higher Diploma is offered as a one year full-time or a two years part-time.

This is a CONVERSION COURSE and is intended for graduates who do not have Computer Science Degree and would like to attain skills in demand by the IT sector.

Format

A typical five credit module includes:
• two lecture hours
• one to two hours of practicals per week
• outside these regular hours, you are required to study independently

Full-Time Mode

Full-Time students take 60 credits as follows: 30 credits in teaching period 1 and 30 credits in period 2.

CS1117 Introduction to Programming (15 credits) - Dr. Jospeh Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5007 Computer Applications with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Riordan
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley
CS5022 Database Design and Administration (5 credits) - Mr. Humprey Sorensen

Part-Time mode

Part-Time students take 30 credits in each of the two academic years as follows:

- Year 1 -

CS1117 Introduction to Programming (15 credits) - Dr. Joseph Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley

- Year 2 -

CS5007 Computer Application with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Doherty
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5022 Database Design and Administration (5 credits) - Mr. Humphrey Sorensen

Further details on the content and modules are available on the Postgraduate College Calendar - http://www.ucc.ie/calendar/postgraduate/Diploma/Science/page14.html

Assessment

The Higher Diploma in Applied Computing Technology will be examined through a combination of end-of-year exams and module assignments.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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The M.Sc. programme in Computer Science (Interactive Entertainment Technology) equips students with the theoretical and practical knowledge to enable them to participate in the design and development of the technology that underpins the fast moving video game market as well as providing transferable skills relevant for careers in the wider industries of interactive entertainment, communication and simulation. The course, which has been developed in co-operation with leading indigenous and international game industry companies, immerses students in a state of the art learning environment using the very latest tools and technologies, as used by professional game development companies.

The course is assessed based on a combination of assigned coursework, written examination, a group project and a research dissertation. The taught component will be composed of 30 ECTS of compulsory modules and 30 ECTS of elective modules. The compulsory components of the course are:

Numerical Methods and Advanced Mathematical Modelling
Software Engineering for Concurrent and Distributed Systems
Software Engineering Individual Project
Seminar Series
Interactive Entertainment Technology Group Project
Individual Research Dissertation

All students will select an additional 30 ECTS of elective modules from the following pool of topics:

Data Communications and Networks
Graphics and Console Hardware
Real-time Rendering
Artificial Intelligence
Autonomous Agents
Real-time Animation
Real-time Physics
Vision Systems
Augmented Reality

In addition, students will be expected to complete an individual research dissertation worth 30 ECTS.

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The M.Sc. programme in Computer Science equips students with the theoretical and practical background necessary to enable them to participate in the design of complex networked and distributed computing systems, as well as to undertake research in this area.

The programme is assessed based on a combination of assigned coursework, written examination, and a dissertation.

The programme is composed of a number of modules that are taken by all students.

These modules include:

- Networked applications: covers applications of the Internet and Intranets ranging from email and the Web to electronic commerce; collaboration and community services; distributed artificial intelligence; and information retrieval.
- Data communications and networks: introduces the fundamentals of computer networks and networking technology.
- Distributed systems: covers the most important paradigms for building distributed applications including client-server computing, distributed object technology, and component models.
- Software engineering for concurrent and distributed systems: covers objectoriented analysis and design techniques and their application to concurrent and distributed systems.
- Security and management of networks and distributed systems: introduces the fundamentals of computer and network security and investigates different approaches to network management and the management of advanced information services.

This course is open to graduates who have achieved the equivalent of at least an upper second-class honors degree, or better, in computing, information technology, or a related discipline. Well qualified candidates from disciplines such as engineering, mathematics, statistics, or physics who have sufficient knowledge of computing (including the ability to program) may also be accepted.
This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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The MSc in Interactive Media is a CONVERSION COURSE; it is an intensive taught course focusing on the practical and technical aspects of interactive media.

The broad aim of the course is to equip students from a wide range of backgrounds with a thorough understanding of the technology and industry-standard tools used in the digital media sector. Interactive digital media seeks to entertain, inform and inspire an audience. The creation of interactive digital media is a challenging and complex activity requiring a blend of creative and technical skills using a range of existing and emerging technologies.

On successful completion of the course, you will have a comprehensive knowledge of the underlying concepts, technologies and practices of interactive digital media and be able to apply these to create interactive digital media products.

Visit the website: http://www.ucc.ie/en/ckr05/

Course Detail

The MSc (Interactive Media) is a taught programme that may be taken full-time over 12 months or part-time over 24 months from the date of first registration for the programme.

Format

- Lectures: 12 hours per week
- Laboratory sessions: Six hours per week

You are expected to undertake independent reading and study.

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits)
- Research & Development Project (30 credits)

Core Modules (Period 1)

Full-time students are required to take the following 30 credits of core modules. Part-time students are required to take three of the following core modules in each year (15 credits), for a total of six separate modules over the two years (30 credits).

CS6100 Authoring (5 credits) - Dr. John O'Mullane
CS6101 Digital Publishing and Hypermedia Systems (5 credits) - Dr. Ian Pitt
CS6102 Graphics and Graphic Design (5 credits) - Dr. Sabin Tabirca
CS6103 Audio and Sound Engineering (5 credits) - Mr. David Murphy
CS6104 Digital Video Capture and Packaging (5 credits) - Dr. Ian Pitt
CS6111 3D Graphics and Modelling (5 credits) - Mr. David Murphy

Elective Modules (Period 2)

Full-time students are required to take 30 credits from the following elective modules. Part-time students are required to take three of the following elective modules in each year (15 credits), for a total of six separate modules over the two years (30 credits).

CS6105 Future and Emerging Interaction Technologies (5 credits) - Mr. David Murphy
CS6113 Internet-based Applications (5 credits) - Dr. Frank Boehme
CS6114 Digital Video Compression and Delivery (5 credits) - Dr. Frank Boehme
CS6115 Human Computer Interaction (5 credits) - Dr. Ian Pitt
CS6116 Mobile Multimedia (5 credits) - Dr. Sabin Tabirca
CS6117 Audio Processing (5 credits) - Mr. David Murphy

Note: Not all modules may be offered in a particular year and are subject to change.

Project Phase (After Period 2)

Full-time and part-time students are required to take a project as follows:

CS6200 Dissertation (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

Postgraduate Diploma in Interactive Media

Students who successfully achieve the pass standard in the examination may opt not to proceed to the digital media project and may opt instead to be awarded the Postgraduate Diploma in Interactive Media.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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Mobile and ubiquitous computing technologies allow interconnected computing devices to be embedded unobtrusively in everyday appliances and environments, and to co-operate to provide information and services on behalf of their human users. This rapidly emerging field is driving the deployment of the next generation of Information Technology solutions and has been an active research area at Trinity College Dublin for many years. The Mobile and Ubiquitous Computing programme provides a comprehensive grounding in modern communications and wireless concepts and advanced distributed systems engineering, tightly aligned with an in-depth understanding of the technologies and development strategies used in building and deploying complete mobile and ubiquitous computing solutions. Specific topics to be covered usually include:

* Wireless Concepts and Technologies
* Real-time and Embedded Systems
* Vision Systems
* Information Architecture
* Middleware for Ubiquitous Computing
* Human-Computer Interaction
* Context Awareness
* Mobile and Transient Security
* Mobile and Autonomous Systems Innovation

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The MSc in Data Science & Analytics, jointly offered by the Department of Computer Science and the Department of Statistics, provides an education in the key principles of this rapidly expanding area. The combination of sophisticated computing and statistics modules will develop skills in database management, programming, summarisation, modelling and interpretation of data. The programme provides graduates with an opportunity, through development of a research project, to investigate the more applied elements of the disciplines.

Visit the website: http://www.ucc.ie/en/ckr49/

Course Details

The MSc in Data Science and Analytics is a significant collaboration between the Departments of Computer Science and Statistics; designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever increasing and complex data. The programme emphasises the application of Computer Science and Statistics methodologies helping transform data into useful information that can support decision making.

Format

A typical 5 credit module:
• 2 lecture hours per week
• 1–2 hours of practicals per week
• Outside these regular hours students are required to study independently by reading and by working in the laboratories and on exercises.

Structure

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits)
- Dissertation (30 credits)

Part 1 (60 credits)

- Core Modules (30 credits) -

CS6405 Data Mining (5 credits) - Dr. Marc Van Dongen
ST6030 Foundations of Statistical Data Analytics (10 credits)
ST6033 Generalised Linear Modelling Techniques (5 credits)

- Database Modules -

Students who have adequate database experience take:

CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen

- Students who have not studied databases take:

CS6503 Introduction to Relational Databases (5 credits)
CS6505 Database Design and Administration (5 credits)

Elective Modules (30 credits)

Students must take at least 10 credits of CS (Computer Science) modules and at least 10 credits of ST (Statistics) modules from those listed below:

CS6322 Optimisation (5 credits) - Dr. Steve Prestwich
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6509 Internet Computing for Data Science (5 credits)
ST6032 Stochastic Modelling Techniques (5 credits)
ST6034 Multivariate Methods for Data Analysis (10 credits)
ST6035 Operations Research (5 credits)
ST6036 Stochastic Decision Science (5 credits)

- Programming Modules -

Students who have adequate programming experience take:

CS6406 Large-Scale Application Development and Integration l (5 credits) - Professor Gregory Provan
CS4607 Large-Scale Application Development and Integration ll (5 credits) - Professor Gregory Provan

- Students who have not studied programming take:

CS6506 Programming in Python (5 credits)
CS6507 Programme in Python with Data Science and Applications (5 credits) - Dr. Kieran Herley

Part 2 (30 credits)

Students select one of the following modules:

CS6500 Dissertation in Data Analytics (30 credits)
ST6090 Dissertation in Data Analytics (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

Postgraduate Diploma in Data Science and Analytics

Students who pass each of the taught modules may opt to exit the programme and be conferred with a Postgraduate Diploma in Data Science and Analytics.

Careers

This programme aims to prepare students to manage, analyse and interpret large heterogeneous data sources. Graduates will design, compare and select appropriate data analytic techniques, using software tools for data storage/management and analysis, machine learning, as well as probabilistic and statistical methods. Such abilities are at the core of companies that constantly face the need to deal with large data sets.

Companies currently seeking graduates with data analytics skills include: firms specialising in analytics, financial services and consulting, or governmental agencies.

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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The School of Computer Science and Statistics and the School of Medicine offer a joint MSc programme in Health Informatics. Health Informatics is broadly concerned with the application of Information Technology in the health sector. It is a truly interdisciplinary field in which medicine, computer science, management science, statistics and engineering are all represented.

The main aim of the MSc programme is to give students a broad understanding of both the principles underlying the field of health informatics and of its practical applications. The course is intended for suitably qualified applicants currently working or aspiring to work in a position in the health sector which requires the efficient and cost effective application of information technology. The MSc course runs over two academic years (September - June) on a part-time basis, on Friday afternoons and Saturday mornings to facilitate those in full-time employment. The first year incorporates both taught and practical components with a strong emphasis on practical team-based continuous assessment.

Students take a total of seven modules from the following: introduction to health informatics; introduction to computing (for those from a health science background); introduction to health sciences (for those from a computing background); health information systems; clinical decision support systems; biomedical imaging; human computer interaction in healthcare; health informatics research paper and bioinformatics. Not all modules will be offered each year. Year 2 students receive instruction in research methodology and undertake an independent research project.

This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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Overview

The Higher Diploma in Information Technology is a postgraduate conversion course intended for graduates whose primary degrees are not in Computing and Information Technology. On completion of the course participants would be expected to reach a level of competence equivalent to that of 3-year computer science graduates.

Career Options

Information Technology and Software Development is one of Ireland’s foremost export sectors driving the smart economy. Most of the leading multinationals have made significant investment in Ireland along with hundreds of other indigenous Irish companies. The industry has a wide range of strengths in insurance and banking applications, telecommunications, e-learning, healthcare and systems software. One of the major needs identified by software companies is for more people with expertise in computing combined with other domain specific knowledge such as a business qualification. This is where a blend of the Higher Diploma in Information Technology with an existing degree qualification can open many job opportunities.

Information Technology is an interesting area of study with a broad educational value that opens many doors. The flexibility of career paths, and the wide range of business, social, medical and artistic areas with which computing interacts can make it particularly attractive to women.

Find out how to apply here https://www.maynoothuniversity.ie/computer-science/our-courses/higher-diploma-information-technology#tabs-apply

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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This M.Sc. course provides a foundation in the technologies and media relevant to the digital media sector. The course runs full-time over a twelve-month period. Formal teaching is divided into two twelve-week semesters.

Each student selects and commences a research project, which must be submitted in the form of a dissertation of 12,000 words by mid March. Students will also complete a final project, which can be a collaborative development with a number of students from the class . There is significant emphasis on theory rather than on media or software applications. A special laboratory is provided for the class where students can become familiar with software applications.

The courses offered include: Introduction to Programming; XML/HTML; Audio Technologies; Sensors; Interactive Authoring; Graphic Design; Image Processing; Cultural and Critical Studies; Research Methodologies; Client/Server Technologies and Networking; Interactive Narrative; Mobile Computing; Image Processing and 3-D Modelling; Game Development and Production; Legal Issues in Digital Publishing.; Digital Media Enterprises.

This course is especially suited to graduates with a primary degree in either Humanities or in Computer Science as both disciplines are important to the digital media sector. Applications will be accepted from good honors graduates in any discipline or from mature students with relevant industry experience.

This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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