Course Details

Course Code(s):
MSDSSLTFAD
Available:
Full-Time
Course Start Date:
September
Duration:
1 Year
Award:
Masters (MSc)
Qualification:
Level 9 MSc Qualification
Faculty: Science and Engineering
Course Type: Taught
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr. James A Sweeney
Email: james.a.sweeney@ul.ie Telephone: +353 (0) 61 202609
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Brief Description

The MSc in Data Science and Statistical Learning provides an exciting opportunity for students with a quantitative background to specialise in the rapidly expanding field of data science, with an emphasis on statistical perspectives. 

The course modules have been carefully developed with a focus on statistics and computing to assist students in developing skills in statistical modelling, data visualisation and interpretation, database management, statistical programming, network analysis and predictive algorithms. Students are also provided with an opportunity to specialise in more applied elements of data science through the undertaking of a research project and dissertation.  The objectives of the course are:

  • To enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
  • To provide students with a fundamental grounding in the key skills of data science including; data manipulation, data interrogation and visualisation, statistical modelling, and scientific computation.
  • To provide students with technical research and presentation experience, through the undertaking of a research project and writing of an MSc dissertation.

CAREERS
Data science skills are some of the most highly sought after by employers both nationally and internationally. There is a rapidly increasing demand for individuals with strong proficiencies in data analysis and scientific computation.  Examples of potential fields of employment (and employers) include:

  • ICT (e.g. Apple, Facebook, Google, Linkedin, Microsoft, Tenable, TikTok); 
  • Financial services and management consulting (e.g. Accenture, AIB, Aon, Bank of Ireland, Deloitte, EY, KPMG,  PWC, Zurich);
  • Manufacturing and pharmaceuticals (e.g. Abbott, Eli Lilly, Glanbia, Johnson & Johnson, Regeneron);
  • Research and development roles in a wide variety of applied fields, as well as strengthening applicant candidacy for application to PhD programmes

 

Autumn Semester

Spring Semester

Summer Semester
  • Statistical Inference for Data Science
  • Statistical Learning
  • Research Project Students will specialise their dissertation studies in one of the three sub-disciplines: Mathematics and Statistics, Electronic and Computer Engineering, or Computer Science and Information Systems

 
  • Fundamentals of Statistical Modelling
  • Quantitative Research Methods for Science, Engineering and Technology
  • Scientific Computation
  • Networks and Complex Systems
  • Database Systems in Practice
  • Applied Big Data and Visualisation
  • Text Analytics and Natural Language Processing
  • Artificial Intelligence and Machine Learning

The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in Mathematics, Statistics, Computer Science, or other relevant quantitative discipline, or equivalent qualification that is recognised by the University as meeting this requirement. The University reserves the right to shortlist and interview applicants as deemed necessary. 

WHAT TO INCLUDE WITH YOUR APPLICATION

  • Qualification transcripts and certificates
  • A copy of your birth certificate or passport
  • If your qualifications have been obtained in a country where English is an official language this will suffice

  • If this is not available, the following additional documents must be provided:
    • English translation of your qualification(s)/transcripts
    AND
    • English language competency certificate

    For more information Click Here

EU - €7,164 

Non- EU - €18,078

Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie.)

 

Please click here for information on funding and scholarships.

CAREERS


Data science skills are some of the most highly sought after by employers both nationally and internationally. There is a rapidly increasing demand for individuals with strong proficiencies in data analysis and scientific computation.  Examples of potential fields of employment (and employers) include:

  • ICT (e.g. Apple, Facebook, Google, Linkedin, Microsoft, Tenable, TikTok); 
  • Financial services and management consulting (e.g. Accenture, AIB, Aon, Bank of Ireland, Deloitte, EY, KPMG,  PWC, Zurich);
  • Manufacturing and pharmaceuticals (e.g. Abbott, Eli Lilly, Glanbia, Johnson & Johnson, Regeneron);
  • Research and development roles in a wide variety of applied fields, as well as strengthening applicant candidacy for application to PhD programmes