MSc Data and Computational Science

Computational science is at the crossroads between modern applied mathematics and statistics, and our programme recognizes this fact by combining aspects of both in a unique set of tailored modules including scientific computing, mathematical modelling, and data analytics.
 

Stage 1 - Core
 

• Optimisation in ML

  ACM40990

• Uncertainty Quantification

  ACM41000

• Applied Matrix Theory

  MATH40550

• Modern Regression Analysis

  STAT20230

• Multivariate Analysis

  STAT40150

• Data Programming with R

  STAT40620

• Data Prog with Python (online)

  STAT40800

• Bayesian Analysis (online)

  STAT40850

• Principles of Prob & Stats

  STAT41040
   

  Stage 1 - Option
   

• Advanced Topics in Computational Science

  ACM40080

• Numerical Algorithms

  ACM40290

• High Performance Computing (ICHEC)

  ACM40640

• Scientific Programming Concepts (ICHEC)

  ACM40660

• Research Project II

  ACM40910

• Projects in Maths Modelling

  ACM40960

• Advanced Predictive Analytics

  STAT30250

• Statistical Machine Learning

  STAT30270

• Monte Carlo Inference

  STAT40400

• Data Prog with C (online)

  STAT40780

• Stochastic Models (online)

  STAT40810

• Adv Data Prog with R (online)

  STAT40830

• Data Prog with SAS (online)

  STAT40840

• Adv Bayesian Analysis (online)

  STAT40950

• Stat Network Analysis (online)

  STAT40960

• Machine Learning & AI (online)

  STAT40970

• 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.

The cost of studying at University College Dublin varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen.

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay €22530 annually, to study in University College Dublin.

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)