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MSc Statistical Data Science

Graduate Taught (Level 9 NFQ, Credits 90)
Academic Year 2024/2025
School
Mathematics & Statistics
Attendance
Part Time
Level
Graduate Taught
NFQ Level
9
Mode of Delivery
Programme Director
Dr Riccardo Rastelli
Programme Credits:
Stage 1
Core/Option: 90
Electives: 0
Major/Minor Core & Option Credits:
Stage 1: 90

Curricular information is subject to change.

About this Course

Stage 1

90 credits required to complete the programme. All option modules selected require approval of the programme director.

Module ID Module Title Trimester Credits
Stage 1 Options - A)MIN1OF:
Core Years 1 & 2 select modules in consultation with the Programme Director.
     
STAT30250 Advanced Predictive Analytics Spring

5

STAT40510 Applied Statistical Modelling Spring

5

STAT41080 Mathematical Statistics Spring

5

STAT40710 Dissertation Summer

25

Stage 1 Options - A)MIN1OF:
Core Years 1 & 2 select modules in consultation with the Programme Director.
     
Stage 1 Options - C)MIN10OF:
Options Years 1 & 2 must select modules in consultation with the Programme Director. Year 2 modules are subject to change and may not be offered in 2025/26
     
ACM40290 Numerical Algorithms Autumn

5

COMP40370 Data Mining Autumn

5

COMP47750 Machine Learning with Python Autumn

5

MATH40550 Applied Matrix Theory Autumn

5

STAT30340 Data Programming with R Autumn

5

STAT40020 Actuarial Statistics I Autumn

5

STAT40250 Survival Models Autumn

5

STAT40400 Monte Carlo Inference Autumn

5

STAT40680 Stochastic Models Autumn

5

STAT40700 Time Series Analysis - Act App Autumn

5

STAT40800 Data Prog with Python (online) Autumn

5

STAT41020 Survey Sampling Autumn

5

STAT41070 Bayesian Data Analysis Autumn

5

COMP40400 Bioinformatics Spring

5

COMP47790 Optimisation Spring

5

MEEN40670 Technical Communication Spring

5

STAT40070 Actuarial Statistics II Spring

5

STAT40080 Nonparametric Statistics Spring

5

STAT40150 Multivariate Analysis Spring

5

STAT40750 Statistical Machine Learning (online) Spring

5

STAT40970 Machine Learning & AI (online) Spring

5

STAT41010 Stat Network Analysis Spring

5

STAT40780 Data Prog with C (online) Summer

5

STAT40830 Adv Data Prog with R (online) Summer

5

STAT40840 Data Prog with SAS (online) Summer

5

STAT40950 Adv Bayesian Analysis (online) Summer

5

See the UCD Assessment website for further details

Module Weighting Info  
  Award GPA
Programme Module Weightings Rule Description Description >= <=
MTEMP002 Stage 1 - 100.00%
Standard Honours Award First Class Honours

3.68

4.20

Second Class Honours, Grade 1

3.08

3.67

Second Class Honours, Grade 2

2.48

3.07

Pass

2.00

2.47