Higher Diploma in Science in Data Analytics (Part-Time)
COURSE CANCELLED
This course is supported by Springboard+. You can find more information on Springboard by clicking here.
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.
Course Overview
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 gain in their primary degree(s) to the IT and Data Analytics sector.
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 course 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.
What makes this course different
Enhance Your Data Analytics Skills
Underpinned by concrete theories, this course provides real practical statistics and computing skills that can be used to solve business problems across a wide range of industries. This course is ideal for numerate graduates looking to enhance their skills and improve their employability in the field of Data Analytics.
Career-Ready
This course is suited to graduates who enjoy Mathematics and problem-solving and wish to pursue a career in the expanding area of Data Analytics.
Career Opportunities
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
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.
Fees and Funding
€570 (Springboard Supported) payable by 31st October
Fees
€570 (Springboard Supported)
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.
Ask us a Question
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Disclaimer: All module titles are subject to change and for indicative purposes only. All courses are delivered subject to demand and timetables are subject to change. Elective Module options will only run subject to student numbers. The relevant Department will determine the viability of each elective module option proceeding depending on the number of students who choose that option. Students will be offered alternative elective modules on their programme should their preferred elective option not be proceeding. Award Options for Common Entry Programmes: The relevant Department will determine the viability of each award option proceeding depending on the number of students who choose either option. If the numbers for one of the Award options exceed available places, students for this option will be selected based on Academic Merit (highest grades).
