Higher Diploma in Data Analytics (1 year full-time) 2017/18
Come and meet us at the Springboard+ talk - 1.35pm, Iontas Seminar Room, Iontas Building,
Saturday 24th June 2017
This course is a one-year programme for graduates who already have a level 8 degree qualification in any subject with some mathematical content.
The Higher Diploma in Data Analytics is a new, purpose-designed course which has been carefully designed to address industry needs. Students will gain skills in programming, statistics and databases, learning how to deal with the increasing quantities of data available in today’s world. Practical modules cover case studies, project work and workplace preparation.
Career options for graduates are varied, ranging from IT, to Healthcare, Finance, Food science and Travel.
Springboard Open Day Presentation given on 25.6.2016.
The course is a collaboration between Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation.
Further details and application are available via the Springboard website. Register now to apply for the course.
Higher Diploma in Data Analytics: 2017-18 modules are:
| Code | Name | Semester | Credits | Comp/Opt |
| ST661 | R for data analyics | 1 | 5 | C |
| ST663 | Statistical methods for data science | 1 | 10 | C |
| ST662 | Topics in data analytics | 2 | 5 | C |
| ST674=ST464 | Statistical machine learning | 2 | 5 | C |
| CS632 | Structured programming for data analytics | 1 | 7.5 | C |
| CS621C | Spatial Databases | 1 | 10 | C |
| CS633 | Work Placement preparation | 2 | 2.5 | C |
| NCG612 | Case studies in data science & analytics | 2 | 5 | C |
| NCG613 | Data Analytics Project | 2 | 5 | C |
| NIR605 | Critical Data Studies | 2 | 5 | C |
| NCG608 | Introduction to Geographical Information Systems | 1 | 10 | O |
| ST673=ST463 | Linear Models 1 | 1 | 5 | O |
| ST675=ST465 | Linear Models 2 | 1 | 5 | O |
| ST676=ST466 | Advanced Statistical Modeling | 2 | 5 | O |
| CS615C | Internet Solutions Engineering | 2 | 10 | O |
| CST620C | Structured Programming | 1 | 10 | O |
Optional modules are with the permission of the Course Director.
Module Descriptors - Data Science & Analytics