Data Analytics
This two year part-time course will equip participants with the theoretical and practical skills to enter the world of data analytics. It will provide learners with the required skills in the areas of statistics, programming and databases that will enable them to transfer much of the domain specific knowledge/skill already gained in their primary degree(s) to the IT and Data Analytics sector.
| Award Name | Higher Diploma (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | Dundalk Institute of Technology |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Higher Diploma (Level 8 NFQ) | Major | Dundalk Institute of Technology | Level 8 NFQ |
Duration
2 Years
This course is delivered fully online. but participants will be required to attend campus once persemester for exams.
Entry Requirements
ANY Honours (Level 8) Degree with 15 credits of Mathematics
and/or
Statistics OR Level 7 Degree with 15 credits of Mathematics and/or Statistics AND at least 2 years of work experience together with strong numeracy skills.
No prior programming exposure is required.
To apply for this programme via the Springboard+ scheme, you must meet the eligibility criteria (click to read) in addition to the minimum entry criteria listed above.
If you are unemployed and in receipt of a jobseekers payment (including Farm Assist and Qualified Adults of Working Age) you are NOT eligible for two-year ICT Conversion courses.
Careers / Further progression
The course provides the necessary preparation for a career in areas such as
Data Analyst;
Data Scientist;
Data Engineer;
Business Analytics Specialist;
Data Visualization Developer;
Analytics Manager
Upon the successful completion of this Higher Diploma, students who obtain Second Class Honours or higher, will be eligible to be considered for entry to the MSc in Data Analytics.
Further information
Springboard supported
This course is aimed at candidates with strong numeracy skills and a basic knowledge of statistics who wish to become more data savvy, no prior programming exposure is required. This one-year full-time course is funded via Springboard+ and is created for those who wish to develop the skills, expertise and knowledge to work as Data Analysts and is aligned with the needs of local data focused companies.
Who Should Apply
Graduates with strong numerate skills who wish to pursue a career in the expanding area of Data Analytics.
Professionals who wish to develop their Data Analytics and Mining skills to apply them to real problems in their current work domains.
Graduates who enjoy Mathematics and problem-solving with a focus on real-world problems.
Graduates who are interested in developing their advanced statistical and computing skillsets to master areas such as statistical inference and machine learning.
Modules on this programme include:
Course Content
Semester 1
Statistics using R - 1
Spreadsheet Data Analytics
Research Methods for Data Analytics
Semester 2
Ethics and Social Responsibility in Data Analytics
Applied Database Systems
Statistics using R - 2
Semester 3
Advanced Statistics using R - 1
Real Time Data Analytics
Data Analytics Project 1
Semester 4
Data Visualisation
Advanced Statistics using R - 2
Data Analytics Project 2.
www.springboardcourses.ie
Dr Kevin McDaid (Programme Director)
Phone: 042 9370200 Ext 2739
Email: kevin.mcdaid@dkit.ie
Dr Fiona Lawless (Head of Computing Science and Mathematics)
Phone: +353 42 9370200
Email: fiona.lawless@dkit.ie