Statistical Data Science
MSc Statistical Data Science
Graduate Taught (level 9 nfq, credits 90)
The goal of the UCD MSc Statistical Data Science is to train the new generation of data scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning.
This programme is aimed at students who have an undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.
The MSc Statistical Data Science is ideal for students interested in data science careers in industry, business, government, or to those interested in pursuing a subsequent PhD in statistics or related areas.
In this programme, you will learn how to design, use and interpret a variety of statistical modelling tools, combining the fundamental theory of statistics with modern computational techniques. The programme is underpinned by several thematic areas:
- Data Science: in several of our modules, you will tackle on modern real-world problems, using a variety of advanced techniques that are common in statistics and machine learning. Modules examples: Statistical Machine Learning, Data Mining, Advanced Predictive Analytics.
- Computing: you will learn how to design and implement efficient algorithms, through various data science programming languages and software that are commonly used in industry and research. Modules examples: Data Programming, Optimisation, Machine Learning with Python.
- Fundamental theory: you will cover the fundamental aspects of mathematical statistics and learn how this is used in data science to develop new methods and concepts. Modules examples: Mathematical Statistics, Multivariate Analysis, Stochastic Models.
- Communication: you will learn how to study and interpret statistical analyses, and also how to effectively communicate your conclusions. Modules examples: Technical Communication, Applied Statistical Modelling, Dissertation.
You will have the flexibility to choose your modules from a wide range of statistics topics. In addition, you will take a final dissertation module which provides you with the chance to work extensively and individually on a statistical problem, with potential industry applications or research novelty.
Subjects taught
The modules listed are for the academic term 2023/2024 and are examples only. All modules are subject to change.
Mathematical Statistics
Monte Carlo Inference
Actuarial Statistics
Survival models
Data Mining
Time Series
Multivariate Analysis
Statistical Network Analysis
Data Programming with R
Stochastic Models
Data Programming with Python
Applied Statistical Modelling
Statistical Machine Learning
Advanced Predictive Analytics
Optimisation
Data Programming with C
Entry requirements
This programme is intended for applicants who hold a degree in Statistics or a cognate subject area. An upper second class honours, or international equivalent is required.
Those who have been awarded an upper second class honours or higher in the Higher Diploma in Statistics are eligible for the programme.
Alternatively students may qualify for enrolment for the four semester MA in Statistics which brings them to the same level as the MSc in Statistics.
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.
Students meeting the programme’s academic entry requirements but not the English language requirements, may enter the programme upon successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/
School of Mathematics and Statistics Application Process FAQ
These are the minimum entry requirements – additional criteria may be requested for some programmes.
Application dates
How to apply?
The following entry routes are available:
MSc Statistical Data Science FT (T387)
Duration
1 Years
Attend
Full Time
Deadline
Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised.
Duration
1 year full-time.
Enrolment dates
Next Intake: 2024/2025 September.
Post Course Info
Career & Graduate Study Opportunity
On completion of the MSc Statistical Data Science, you will be able to demonstrate in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques and models in the analysis of real data, and employ technical computing skills.
Career opportunities exist in a variety of industries including pharmaceutical companies, banking, finance, government departments, risk management and the IT sector. Some past students embarked on a career in academia by proceeding to study for a PhD.
Graduates are currently working for companies such as Google, Western Union, AIB, Norbrook, Ernst & Young, Novartis, Deloitte, Meta and Eaton. Demand for our MSc Statistical Data Science graduates continues to be very strong both in Ireland and abroad.