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You are here Postgraduate > Diploma in Applied Economics and Big Data > Admission Requirements

Admission Requirements and Application Procedure

Admission Requirements

  • Candidates should normally have achieved at least a second-class honours, Grade 1 degree (GPA scores of at least 3.3 out of 4) in economics or a related discipline. Applications are welcomed from candidates with single or joint honours Economics degrees, social science, and business degrees with a large share of final-year Economics options, or degrees in mathematics, natural sciences, and engineering. Candidates from backgrounds other than economics or mathematical degrees are requested to provide evidence of their mathematical ability, for example, specific courses completed, standardised tests, references etc.
  • Candidates are not expected to have significant quantitative research methods training, although some prior basic knowledge of statistics will be required. Admitted students will have taken at least an Introduction to Statistics module (or equivalent, e.g., a research methods module which covers applied statistics) in their undergraduate training. Other applicants may be considered in exceptional circumstances, based on academic or workplace experience.
  • Students are expected to bring their own laptop (Mac/Windows/Linux) for use in seminars and tutorials throughout the course.
  • All applicants must fulfil the College entry requirements.
  • International applicants must fulfil the international student entry requirements.
  • Applicants whose first language is not English and who have not been educated through the medium of English must fulfil the College Postgraduate English language requirements.

Application Procedure

Applicants eligible for Springboard+ - HCI Pillar 1 funding (view the Springboard+ - HCI Pillar 1 initiative page for more details) must apply via the Springboard website. Applications via Springboard will open in mid-March.

Apply

All other applicants applying for the Postgraduate Diploma in Applied Economics and Big Data must apply via the Academic Registry portal using link provided below.

Apply

Applicants must upload the following documentation via the online application portals (all documents must be supplied in English, or the original document plus the official translation submitted):

  • Official transcript(s)
    • (Or unofficial/partial transcript(s) if you have not yet completed your undergraduate course. The final transcript must be submitted before an unconditional offer can be made). A transcript is a full list of all course components taken, along with grades/marks achieved in each.
  • Copy of degree certificate(s)
  • Evidence of mathematical ability where appropriate*
  • Two letters of recommendation
  • Once an application is submitted, automatic emails are sent to the nominated referees with a request to complete and upload their reference letters to the application portal.
  • Curriculum Vitae
  • Motivation letter/personal statement
  • There is no required length for the motivation letter, a single page would suffice.
  • Valid English language test result (if applicable - see above)
*Additional evidence of a strong quantitative background may be requested from some candidates as part of the application process

The closing date for the submission of applications is 31st July 2024. Late applications from strongly qualified applicants may be considered after this date subject to availability of places.

Once all application documentation is in place, the application will be assessed within the Department of Economics, and a recommendation will be made (generally within 10 days). This recommendation will then be reviewed by the Academic Registry department and a decision will be listed on the application portal. If a place on the course is offered, the applicant will have three weeks to accept the place and make their deposit payment.

Fees

The Applied Economics and Big Data (PG Diploma) fees for 2024/2025 are:
  • EU: €8,336
  • Non-EU: €14,830
For more information on fees for 2024/2025 please see Fees & Payments - Academic Registry - Trinity College Dublin (tcd.ie)

The Department is not in a position to offer scholarships/fee waivers to students who are not eligible for Springboard+ - HCI Pillar 1 funding. However, we recommend interested candidates to investigate funding/scholarship options via:

It may also be possible to claim tax relief on tuition fees, see the Revenue site for details.