The Certificate in Data Analytics is aimed at up-skilling candidates for a career as financial analyst/data analyst. The programme has been developed in response to demand from companies for specialist graduates with advanced skills and knowledge in areas such as econometrics, data modelling, business intelligence, advanced financial analysis and interpretation. This course will address the needs of several key stakeholders both nationally and regionally by affording employees a valuable opportunity to upskill/reorient their career.
The programme will be delivered on Monday and Wednesday Evenings from 7.00pm to 10.00pm each evening for two 12 week semesters. Semester 1 will start on 15th January. Semester 2 will start on week of 14th September.
The Certificate in Data Analytics is part of a suite of awards that can lead to an M Sc in Global Financial Information Systems (GFIS) or be an award in its own right. The delivery of the modules will take place at a time that suits the part-time cohort (evenings). The award will take one academic year to complete and participants will have the option of continuing on with their studies at the end of each award or exiting with the appropriate award.
The Certificate in Data Analytics brings together a number of data analysis modules from the Institutional module portfolio. The macro-economic need for the programme is well established. The National Skills Bulletin 2018 identified areas experiencing labour shortages including business intelligence, data analytics and financial analysts: these speak directly to the Certificate in Data Analysis.
The delivery method is innovative and challenging, consisting of lectures, ICT workshops, group work and presentations. Participants receive intensive practical training in key skills within data analysis. Participants use a wide range of software including SQL; Advanced Excel; Qlikview and SPSS.
The programme is targeted at a broad range of potential applicants (business, IT, science and humanities graduates etc.) â€“ the entry criteria are broad although those students with quantitative/numerical skills would be considered more favourably.
There is also an opportunity to be part of a broader community of graduate business students. Some of the other modules are shared with smaller groups (for example the MBS in Economic and Finance and the M Sc in Computing in Enterprise Software Systems).
The course modules are:
Data Modelling and Analytics (10 credits)
Database design; SQL programming; data analysis and reporting
Econometrics (5 Credits)
Lab-based, practical quantitative techniques using live data in Excel
Business Intelligence (10 Credits)
Concepts and methods for decision support & process improvement
Corporate Financial Interpretation (5 Credits)
Learn tools to critically appraise corporate performance; valuation
A Level 8 Second Class Honours degree in Business, Economics, Finance or Information Technology. Students holding a non-business/IT honours degree (second class honours) are eligible to apply however this does not guarantee automatic entry to the programme. The institutional Recognition of prior learning structures and processes may also facilitate participant’s entry onto this programme.
Applicants who do not currently meet the academic entry requirements may wish to consider using WIT's Recognition of Prior Learning (RPL) mechanism. The Springboard RPL form is available at https://www.wit.ie/images/uploads/Education_School_PDF/WIT_RP6_Springboard_RPL_Form.docx
Please complete the form electronically and submit by email along with all supporting documentation such as education and training certificates etc.
Applicants whose first language is not English must submit evidence of competency in English, please see WIT’s English Language Requirements for details. http://www.wit.ie/about_wit/documents_and_policies/english_language_requirements
Employed people will pay a fee of €300.00 for the course with the Government paying the remaining 90% of the course fee on your behalf. The fee will be payable only at the final stage of the application process when you have been offered a place. The course is fully funded for Jobseekers - please see more information at www.springboardcourses.ie/eligibility