Course Description
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.
| College | Dublin Institute of Technology (DIT) |
| Course Location | Dublin |
| Location Postcode | Dublin 8 |
| Course Category | Data Analytics, IT & Computers |
| Course Qualification | Masters Degree |
| Awarding Body | TU Dublin |
| Course Duration | Programme Code: DT228A (FT) / DT228B (PT). Full-time 3 Semesters or 2 years part-time (minimum). Timetable / Hours 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 (Sept-Jan) for the dissertation. For those who wish to complete in one calendar year the dissertation can be taken over the summer months (June-Sept) with approval. 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 per week or for three evenings per week in each semester. |
| Course Fee | POA |
| Entry Requirements | The minimum admission requirements for entry to the programme are a B.Sc. (Honours) in Computer Science, Mathematics or other suitably numerate discipline with computing as a significant component. The degree should be at the level of Honours 2.1 or better or at Honours 2.2 or better with at least 2 years of relevant work experience. Applicants with other qualifications at Honours 2.1 or better level and relevant experience may also be considered. Applicants must present a minimum IELTS English proficiency score of 6.5 overall with at least level 6.0 for each component. |
| Carear Path | 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. Progression Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS. 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 modules and the achievement of an average grade of at least 50% over all core modules. |
| Phone | 01 402 2840 |
| Course Code | DT228A DT228B |
Course Provider
