Higher Diploma in Science in Data Analytics (Part-Time)

Course Schedule:

Stage 1 / Semester 1

• Statistics using R - 1 
• Spreadsheet Data Analytics
• Research Methods for Data Analytics

Stage 1 / Semester 2

• Ethics and Social Responsibility in Data Analytics
• Applied Database Systems
• Statistics using R - 2 

Stage 2 / Semester 1

• Advanced Statistics using R - 1
• Real Time Data Analytics
• Data Analytics Project 1

Stage 2 / Semester 2

• Data Visualisation
• Advanced Statistics using R - 2
• Data Analytics Project 2 

This course is delivered using a blended learning approach with weekly interactive and hands-on practical lab-based sessions supported by independent and online learning.

This course will run over 2 years, with online synchronous classes delivered on two evenings per week, typically Monday and Wednesday 6pm to 9pm, with an additional 1-2 asynchronous contact hours (videos/practical tasks) to be completed within the same week, but at a time of the students choosing.

Weekly classes will be interactive, with hands-on practical lab-based sessions supported by independent and online learning. Participants are required to attend online synchronous classes as this will be necessary in order for them to master the materials.

Any End-of-semester final exams will take place onsite in DkIT, and participants will be required to attend. 

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

On the successful completion of this Higher Diploma, students who obtain Second Class Honours, or higher, will be eligible to be considered for entry to an MSc in Computing programme (taught or research). Future progression options available within DkIT will include the MSc in Data Analytics.  

On 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 PGDip in Science in Data Analytics or the MSc in Data Analytics programme (taught, structured or research) offered by DkIT.

€570 (Springboard Supported) payable by 31st October 2023

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.

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.

Dr Kevin McDaid (Dr Abhishek Kaushik)
Email: abhishek.kaushik@dkit.ie

Dr Fiona Lawless (Head of Computing Science and Mathematics)
Phone: +353 42 9370200
Email: fiona.lawless@dkit.ie