Computing - Data Analytics
- Degree - Masters (Level 9 NFQ)
- Postgraduate Certificate
- Postgraduate Diploma (Level 9 NFQ)
- Full time
- Part time
- Course provider
Enrolment and Start Dates Comment
Course Start Date: September 2014.
Closing Date: 30 April 2014
1 year full-time or 2 years part-time (minimum).
For the full-time route, teaching hours will take place Monday to Friday. Attendance on occasional Saturdays is required for the Case Studies module and evening attendance is required for some modules. In general students complete 30 ECTS in Semester 1 (Sept-Jan), 30 in Semester 2 (Feb-May) and 30 in Semester 3 (June-Sept) for the dissertation.
For the part-time route, teaching will be in the evening with classes starting at 18.30. Attendance on Saturdays is required for some critical skills modules. Part-time students can progress through the programme at their own pace. The recommended pathway to complete the part-time programme in 2 years requires either attendance for two evenings with Saturdays or for three evenings per semester.
Link to Course Fee
Funding for Courses:
(i) Higher Education Grants
Students entering new postgraduate courses from September 2012 onwards will make their online application to SUSI.
SUSI (Student Universal Support Ireland) is the newly appointed body for student grants in Ireland who operate an online grant applications system accessible at studentfinance.ie.
(ii) VEC Scholarships
For up-to-date information go to Dept of Education Website or Studentfinance.ie
(iii) Sponsorship by Employers
Employers may sponsor an employee to pursue postgraduate studies by research within the Institute, or to attend a postgraduate course. Arrangements are made between the employer, the employee and the Contact person in the relevant School or Research Centre of the Institute. The work may be related to a problem identified by an employer as being of particular interest to her/his firm and expertise and facilities of the Institute may be of particular assistance in its investigation and solution.
(iv) Other Sources of Funding
Many International students studying in Ireland are sponsored by their own government or through other international scholarship programmes. In most cases applications should be made through the Ministry of Education in the student's home country. In the case of UK nationals only they should also contact the Irish Embassy in London for information.
The Irish Council for International Students administers Study Fellowships under the Irish Aid Programmes for students for Priority Aid Countries. Please refer to http://www.icosirl.ie/ for further information. International students are also advised to refer to the Website of the International Education Board Ireland, http://www.educationireland.ie/ which gives information on scholarship sources.
Studentfinance.ie is a website that has information on financial support for further and higher education. It lists the several financial assistance schemes available in Ireland to help you progress through further and higher education.
The minimum admission requirements for entry to the programme are a B.Sc. (Honours 2.2 or better) in Computer Science, Mathematics or other suitably numerate discipline with computing as a significant component. Applicants with other qualifications at Honours 2.2. or better level and relevant experience may also be considered.
Note: Due to the considerable competition for our postgraduate programmes satisfying the minimum entry requirement is not a guarantee of a place. Depending on the programme of study applications will be assessed based on academic grades and any work/life experience. Applicants may also be required to attend for interview.
College of Sciences and Health, DIT Kevin Street, Dublin 8.
Postgraduate Certificate in Computing (Data Analytics) or Postgraduate Diploma in Computing (Information Data Analytics) or MSc Computing (Data Analytics).
The MSc in Computing (Data Analytics) is a specialist post-graduate programme run by the Dublin Institute of Technology Schools of Computing and Mathematical Sciences designed to create hybrid technologists to work in the growing and important area of data analytics. Data analytics is the science of extracting actionable insight from large amounts of raw data. Hybrid technologists are graduates equipped with deep technical skills (in data management, data mining, probability and statistics, and machine learning), but also with the softer skills (in communications, research and problem solving) required to work effectively within organisations.
Who Should Apply?
Individuals with experience developing or using data intensive systems who wish to extend their skills to include advanced analytics techniques and join an industry niche of massive growing importance.
Specialist Core Modules:
Probability & Statistical Inference
Data & Database Design for Data Analytics
Critical Skills Core Modules common to all MSc in Computing specialisms:
Problem Solving, Communication and Innovation
Case Studies in Computing
Research Writing & Scientific Literature
Research Methods and Proposal Writing
Option Modules (Two required):
Geographic Information Systems
Man and Machine
App Development & Commercialisation
Programming for Big Data
Students can also take specialist core modules from the other MSc streams as optional modules, subject to availability and schedules.
Each module requires students to complete practical work during the semester and may require that they sit examinations at the end of the semester in which the module is delivered. Examinations for Semester 1 are held in January and those for Semester 2 are held in May.
Careers or Further Progression
Data analytics has been highlighted in a range of recent reports as an area of strategic importance both nationally and internationally. Areas in which opportunities for data analytics practitioners exist include retail, financial services, telecommunications, health, and government organisations. Specific roles include but are not limited to: Data Analytics Consultant, Data Scientist, Data Analyst, Data Architect, Database Administrator, Data Warehouse Analyst, Business Intelligence Developer, Business Intelligence Implementation Consultant, Business Analyst, Reporting Analyst.
Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS as defined in the programme pathway.
Students who wish to complete an MSc dissertation to achieve the MSc award will be eligible to do so on successful completion of all core and option modules.
School of Computing
College of Sciences and Health
DIT Kevin Street, Dublin 8
School Contact: Andrea Curley
T: 01 402 2840