Course Summary
This one year full-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 gain in their primary degree(s) to the IT and Data Analytics sector.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
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.
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
Application Details
How To Apply
Apply Directly to DkIT
Apply directly to DkIT using our online applications system (see "Application Weblink" above). Please remember to upload the required documentation (copies of your existing qualification(s), your CV, any other support documents etc) with your online application to expedite your application. To avoid disappointment early registration is recommended.
Start Date: Online Delivery.
Fees
EU Fees:
Full-time (EU): €3,819
Part-time (EU): n/a
Non-EU Fees:
Full-time (EU): €9,950
Part-time (EU): n/a
You may be eligible for financial support for this course through the Student Universal Support Ireland (SUSI) system.
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career 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
Education Progression
Postgraduate Diploma in Science in Data Analytics
MSc in Data Analytics
Duration
Course Delivery
This course will run over 1 year, with online delivery over 3 days per week. Delivery will consist of a combination of online classes running Monday to Wednesday (daytime and evenings) and will involve a blend of "live" synchronous classes supported by additional asynchronous contact hours (videos/practical tasks), to be completed within the same week but at a time of the student’s 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.