Postgraduate
MSc Data & Computational Science

University College Dublin

Course Overview


The MSc in Data and Computational Science is designed for students from highly quantitative disciplines who wish to work in data analytics or computational science.

• The programme will equip you to solve complex scientific problems and analyse large data sets using a range of theoretical tools, from deterministic mathematical modelling to Bayesian analysis.
• The intensive programming modules will allow you develop a range of sought-after skills in practical programming and data analytics, including applications in high-performance computing.
• Topical application areas are offered each year, including cryptography, numerical weather prediction, and financial mathematics. The dissertation will give you further handson experience in computational science and will allow you to apply the key theoretical and practical skills by working on a challenging research topic.

What you need to know

Where is the course located?

Dublin City

What is the length of the course?

12 Months (1 Year) Full-time


When can I apply?

You can apply today

When does the course start?

September

Placement options


Application Closing Date

Open for an application

Number of Places

Fees and Funding

Non-EU Tuition Fees

€ 19,825

Living Costs per year

€ 12,000

Application Fee

€ 60

Features and Benefits


  • The programme will equip you to solve complex scientific problems and analyse large data sets using a range of theoretical tools, from deterministic mathematical modelling to Bayesian analysis.
  • Topical application areas are offered each year, including cryptography, numerical weather prediction, and financial mathematics.
  • The intensive programming modules will allow you develop a range of sought-after skills in practical programming and data analytics, including applications in high-performance computing.
  • The dissertation will give you further handson experience in computational science and will allow you to apply the key theoretical and practical skills by working on a challenging research topic.

Entry requirements

How to Apply

Once you are ready to start your application, please click on APPLY NOW

As part of your application, you will be required to submit:

  • Your academic history and transcripts (Actual and/or Predicted Grades)
  • Proof of English proficiency (typically IELTS or TOEFL scores)
  • 2 letters of recommendation
  • A copy of your passport
  • Personal Statement
  • CV/Resume
  • Extra requests for certain courses

Minimum entry requirements

• This programme is intended for applicants who have an Upper Second class honours degree or higher, or the international equivalent, in a highly quantitative subject such as Mathematics, Physics, Statistics, Engineering.
• Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
These are the minimum entry requirements additional criteria may be requested for some programmes

English Requirements

• IELTS: An average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version.
• TOEFL:

  1. A minimum score of 600 in the paper-based Test of English as a Foreign Language (TOEFL PBT), with Test of Written English at 475+
  2. A minimum score of 90 is required in the Internet based TOEFL (Ibt) with a score of at least 20 in each section.

• Pearson English Language Text: Minimum of 63 and at least 59 for each item in the Communicative Skills section.
• Temporary measure for 2020 ONLY (Response to Covid 19): For students affected by testing center closures due to COVID-19, UCD has approved the use of the Duolingo English Test (DET) as a temporary measure for the 2020 intake. The minimum requirement will be a DET score of 110.

Special Entry Requirements

n/a

Career Prospects


The unique combination of modules and skills offered by this programme will equip graduates to work in a range of specific sectors in data analytics, data science, quantitative modelling in finance, and computational science and engineering. This is a new highly specialized programme in the school; recent past graduates from similar programmes in the school work in firms including:
• ICT companies (e.g. Google, Paddy Power, LinkedIn)
• The financial services industry (e.g. Citi, Deloitte, Geneva Trading, Murex)

Notes


n/a