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Institution / Institute of Technology Blanchardstown /

Computing - Applied Data Science & Data Analytics

Information Technology is one of Ireland’s most important economic sectors, employing approximately 5% of the Irish workforce and accounting for a third of Irish exports (€32 billion per annum). The Dublin region has a significant concentration of IT multinationals similar to Silicon Valley and through its successes in the IT sector, Ireland has built an enviable international reputation as a technology center that is leveraged to attract investment to other sectors.

Against the background of growth in demand for IT courses and the needs of the business community, the Institute of Technology Blanchardstown (ITB) have designed a new level 9 Master of Science in Computing degree where we expect to be a significant contributor to the needs of the economy and the regional business and social community.

The 90 credits NFQ level 9 masters programme will be made up of a taught component and a research project component. The emphasis of the programme is on applied skills with modules designed with the collaboration of industry and academia and where possible, modules will include content from industry certifications. The research component will be focused on real-world business problems and where possible, the research project will be completed during an internship with a company.

The courses are suitable for both entrants to a new discipline that require a broader range of taught modules to familiarize themselves with the skills and knowledge of the discipline and for specialist employees who want to up-skill in their specialist areas and require a narrow range of taught modules and more emphasis on the research skills project of the degree.

With our new degree structure, we seek to be flexible and responsive to industry needs while still maintaining a high standard of academic excellence.

Students will be required to take a minimum of 3 taught modules worth 10 credits each, giving a total of 30 credits. Students then have the option of two different paths to complete the 90 credits required for this master’s degree. One option is to take three more taught modules and a 30-credit research project. This path would suit students who are new to the discipline and require more taught modules and a smaller research project.

The other path is to take a 60 credit research project module route. This path would suit students who have a background in the discipline and who wish to dedicate more time to the research element of the masters and develop their research capabilities.

The MSc Research Project is a significant amount of work as it comprises from one-third to two-thirds of the credits for the masters. The research project will have at it core an applied component and incorporate the collecting and analyzing data for improving decision making purposes.

Increased user activity has also resulted in significant growth in data, both structured and unstructured. The value of this data is dependent on appropriate analysis of the data,and the subsequent application of analysis results to the business.

Consequently, data analytics, the analysis of both large and small data sets, has become a fundamental element for both private sector and public sector organisations that wish to compete through ever-evolving technology, productivity advancement, and innovation in research and development.

Globally, there is a reported shortage of data analytics talent particularly individuals with the required ‘deep analytical’ skills. In Ireland, government policy in recent years has consistently identified data analytics as a key growth area with a medium-term goal to become a leading country in Europe for big data and analytics.

The MSc in Computing programme is of particular value to holders of a primary degree in computing, IT, or equivalent, working as IT professionals. It is also of value to individuals with a computing degree background who wish to develop their career towards working within a research-oriented environment at a postgraduate level.

Entry requirements

The minimum entry requirement is a 2nd Class Honours Grade 2 (GPA 2.5 or equivalent), in a NFQ level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent.

Applicants not meeting this entry requirement may be admitted to the programme on the basis of extensive practical and/or professional experience which can be assessed by the Institute’s APL/APEL process.

Students progressing through the Higher Diploma in Science in Computing (BN509) who wish to enter the M.Sc. in Computing must attain a 2nd Class Honours Grade 2 (GPA 2.5) on the course.

In the event of a student not attaining this standard level , students must achieve an acceptable standard for progression by other means approved by QQI.

The acceptance of candidates with third class honours degrees and appropriate work experience and industrial certification on this course will be allowed provided there is evidence that the candidate can cope with the learning objectives of the course.

Candidates may be interviewed to assess their suitability to undertake the level of work required and to assess their commitment to succeding on the MSc in Computing Programme.

Duration

2 years (4 Semesters)

Schedule: Online Year 1: Tuesday and Wednesday 6pm-10pm. Online Year 2: Wednesday and Thursday 6pm-10pm. All classes are recorded

Careers or further progression

Graduates from this programme are equipped for employment in sectors where data analysis is a critical component, such as the insurance, retail, pharmaceutical, biotechnology, business, travel, telecommunication, government, and intelligence sectors.

Following successful completion of the MSc, graduates have taken up data analytics jobs with Accenture, SAP, FBD Insurance, Deutsche Bank, IBM, Eircom, Emirate airlines and PayPal, while one graduate has started his own analytics consultancy firm. Many students registered on this stream were already working in data analytics, or aim to start a data analytics function with their current employer.

Former students come from a variety of industry sectors and companies including: Ericsson, IBM, Microsoft, PayPal, Intel, O2, Vodafone, Aer Lingus, Ryanair, Dublin Airport Authority, GlaxoSmithKline, Mallon Technologies, Bank of Scotland, Arvato Finance Solutions, Samba Financial Group (India), Sky Ireland, VHI Healthcare, United Healthcare Group, Nathean Technologies, Compass Informatics and MTT.

Further enquiries

For further details please contact the marketing team on 01 885 1530 or e-mail: info@itb.ie.

Subjects taught

Year 1 Semester 1
•Data Pre-Processing and Exploration
•Business Intelligence
•Data Mining Algorithms

Year 1 Semester 2
•Text Mining and Web Content Mining
•Data Science Applications
•Multimedia Mining

Year 2 Semester 3
•Geospatial Data Mining and Knowledge Discovery
•Programming for Big Data
•Statistics

Year 2 Semester 4
•MSc Research Project

Students must complete 6 modules and a thesis. All Modules are 10 ECTS Credits. The MSc Research Project is 30 ECTS Credits.

The order of Module Delivery may differ from the listing above.

An award of ‘Postgraduate Diploma in Science in Computing’ may be granted if learners leave this programme having completed 6 taught modules and attained 60 credits with a minimum GPA of 2.00.

Comment

Award title: Master of Science
Credits for Full Award: 90 @ NFQ Level 9
Awarding Body: ITB

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