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Institution / Institute of Technology Blanchardstown
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Computing - Applied Data Science & Data Analytics

Overview
Data analytics, the analysis of both large and small data sets, has become a fundamental source of valuable information derived from ever increasing volumes of structured and unstructured data. Data analytics applications cover a variety of organizations and industries, and remains mission critical for businesses as it turns information into an asset for deriving insight and making decisions. This reflects the need for companies to do business more smartly, enabled by business intelligence.

Increased user activity has 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. Consequently, data analytics 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.

Course Delivery

The online delivery of the MSc in Applied Data Science and Analytics has attracted students primarily from around Ireland, but also from across Europe and further afield. Lectures are delivered live, using Adobe Connect online classroom environment which facilitates VoIP for lectures and students, screen sharing, web cam, file sharing, breakout rooms for group discussions, whiteboard, question and answer session and other facilities.

This, coupled with lecture recordings and other learning resources being made available through Moodle (our virtual learning environment) provides a truly flexible learning environment for all participants. Modules are assessed through continuous assessment work only. The course will focus on the knowledge and skills to select, apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including implementing novel and emerging techniques. Participants will be kept abreast of current research and state of the art in data science related topics. The two year programme is delivered over four semesters.

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.

Who Should Apply for the MSc in Computing at ITB?
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

Minimum 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 succeeding on the MSc in Computing Programme

Entry Route into programme:
Second Class Honours grade 2 (GPA 2.5 or equivalent) in a NFQ level 8 degree in Computing , Science, Engineering, Business with IT or equivalent.

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.

Number of credits

Credits for Full Award: 90 @ NFQ Level 9.

Careers or further progression

Careers Opportunities
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
•Business Intelligence
•Data Mining Algorithms

Year 1
Semester 2
•Data Pre-processing and Exploration
•Data Science Applications

Year 2
Semester 3

Electives :
•Text Mining and Web Content Mining
•Geospatial Data Mining and Knowledge Discovery
•Programming for Big Data
•Statistics
•Multimedia Mining

* Two electives must be selected

Year 2 Semester 4
•MSc Research Project

Comment

Award title: Master of Science.

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.

Enrolment and start dates

Contact the college for the next start date.

Remember to mention gradireland when contacting institutions!