- Demonstrate in-depth knowledge of the key skills required by a practicing data analyst, including data collection methods, statistical method development, knowledge and application of machine learning techniques
- Ability to present technical material at a level appropriate for any audience
- Proficiency in data science programming in R
- The ability to create scientific visualisations to explore, summarise, and interpret complex datasets
- Approach problems in an analytical, precise and rigorous way
- Model a broad variety of real-world problems in a statistical framework
This course is available through the following application route(s)
This online course will help you analyse and understand the large data sets that are regularly being created via the huge growth in freely available online information. There is an increasing demand for graduates with these valuable skills in a wide range of industries, and currently a shortage of qualified graduates. There are no lectures to attend as the courses are delivered completely online.
Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction with course tutors. This provides flexibility to students who can learn wherever they like at a pace that suits them. Examinations will take place in an online format (please note this is subject to review in future years)
For detailed information about the programme see: programme website or email dataanalyticsonline@ucd.ie with any queries.
- There is a huge ongoing growth in demand for graduates with these valuable skills in a wide range of industries, and currently a shortage of qualified graduates.
- Students will be given videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction via course tutors through the UCD website
About This Course
Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.
Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| Trimester | Credits | |||
|---|---|---|---|---|
Stage 1 Core Modules |
STAT40720 | Introduction to Data Analytics (Online) | Autumn | 5 |
Stage 1 Core Modules |
STAT40730 | Data Programming with R (Online) | Autumn | 5 |
Stage 1 Core Modules |
STAT30280 | Inference for Data Analytics (online) | Spring | 5 |
Stage 1 Core Modules |
STAT40750 | Statistical Machine Learning (online) | Spring | 5 |
Graduate Testimonial
Fergal Kelly, Data Analyst in the Central Bank of Ireland
I wanted to re-skill so that I could move to a different role and the content and online aspect of the masters was perfect for me. I wouldn’t have been able to commit to going into a university on set nights for 3 years. I also would like to commend all the lecturers and tutors who always responded on time to questions. I’ve been able to make a contribution to my new team pretty much straight away.
ProfDip Data Analytics (F057) Part Time
EU/NONEU fee per credit - € 209.6
***Fees are subject to change
EU/NONEU fee per credit - € 209.6
***Fees are subject to change
These programmes are paid per credit. Further information is available on the UCD Fees website.
For entry to the Professional Diploma in Data Analytics (LEVEL 9), students must have obtained an undergraduate (NFQ Level 8 ) or masters degree to standard 2:1 in a subject with some quantitative elements.Those with a lesser qualification award and/or no numerate subject degree, but with substantial industry experience related to the area, or relevant professional qualifications, will also be considered on a case by case basis. A rough guide to the mathematics we expect you to know on entry is available here: Self Assessment Quiz
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
How to Apply
General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Data Analytics:
| ROWCLASS | Apply to | Application Type | ||
|---|---|---|---|---|
| showAudience-audienceEU showAudience-audienceInt | F057 Data Analytics Professional Diploma |
Part-Time Commencing 2024/2025 September |
Graduate Taught | Apply |
* you can change options at the top of the page