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Statistics  (SAJ2)

BA (NFQ Level 8) · Academic Year 2023/2024
School
School of Mathematics and Statistics
Attendance
Full Time
Level
Undergraduate
NFQ Level
Award
Bachelor of Arts
Mode of Delivery
On Campus
Programme Director
Dr Michael Fop
Overall Programme Credits:
Programme Credits:
Stage 1
Core/Option: 50 Electives: 10
Stage 1
Core/Option: 55 Electives: 5
Stage 2
Core/Option: 50 Electives: 10
Stage 3
Core/Option: 50 Electives: 10
Stage 3
Core/Option: 60 Electives: 0
Stage 4
Core/Option: 50 Electives: 10
Major/Minor Core & Option Credits:
Stage 2: 25
Stage 3: 25
Stage 4: 25

Curricular information is subject to change.

According to The New York Times, a statistician is the number one career for the 21st century. In Ireland, employers cannot find enough qualified statistical graduates and now is the time to choose to study for a degree with a great future. Wherever data are collected, statistical and data analysis skills are required. Statisticians develop mathematical models for uncertainty and apply them to real data. Statistical models allow us to learn about the underlying processes which give rise to the data. The power of modern computing continues to have a major impact on both the development and applicability of statistical methods in almost every area of social science, science and business. The skills gained from studying Statistics complement many other subjects in the degree programme where quantitative methods form part of the approach to understanding the subject. For example, psychology and social science rely heavily on statistical modelling tools.

This programme is aimed at students on the BA programme particularly those studying one of the Social Science subjects or Mathematical Studies. By combining those subjects with Statistics to obtain a joint honours BA degree students will enhance their employability. In the 21st century data has become the key tool employed by companies, organisations and individuals to make informed decisions. The Social Sciences worldwide have become increasingly quantitative in nature and that trend is accelerating. Combining a degree in one of the social science subjects with statistics provides students with all of the skills required to excel in their future careers as social scientists. Obtaining the quantitative expertise provided by studying Statistics will set students apart and make them more employable. For those who wish to study statistics or mathematics as subjects in their own right, a joint honours BA in Statistics and Mathematical Studies provides a perfect combination.



 


1 - Demonstrate an indepth understanding of statistics
2 - Use the language of logic to reason correctly and make deductions
3 - Approach problems in an analytical, precise and rigorous way
4 - Apply statistical reasoning and techniques to formulate and solve problems
5 - Model real world problems in a statistical framework
6 - Confidently analyze and draw information from large quantities of data
7 - Analyze and interpret data, find patterns and draw conclusions
8 - Use the power of modern technology to augment statistical problem solving
9 - Work independently and as part of a team
10 - Give oral presentations of technical statistical material at a level appropriate for the audience

Students may apply to study abroad for a trimester in third year in partner institutions internationally.

More and more employers are seeking to hire statisticians as they play a key role in virtually all areas of science and society, including:

  • Industries such as finance, government, economic analysis, marketing, education, health, medicine, and environmental science
  • Societal research which contributes to understanding economic and social change, informing public policymaking
  • Development of new drugs in the pharmaceutical industry

    Graduates may also pursue further study including the MA in Statistics, HDip in Mathematical Science (qualifier for the MSc in Mathematics) and HDip in Actuarial Science.

    • Stage 2

    Stage 2 Statistics students must take all four core modules.
    In addition, they need to pass MST10030 if they have not already completed it. MST20070 must be taken in either Stage 2 or Stage 3.

    Stage 3

    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in at Stage 2 or Stage 3.

    Stage 4

    Students must register to three Stage 4 core modules and select two of the listed Stage 4 option modules. MST20070 must be taken in at Stage 2 or Stage 4

    Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

    Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

    Module Type Module   Trimester Credits
    Stage 2 Core Modules
    		 STAT20200 Probability Autumn  5
    Stage 2 Core Modules
    		 STAT20240 Predictive Analytics Autumn  5
    Stage 2 Core Modules
    		 STAT20180 Introduction to Bayesian Analysis Spring  5
    Stage 2 Core Modules
    		 STAT30280 Inference for Data Analytics (online) Spring  5
    Stage 2 Options - A) Min 0 of:
    If not previously taken in Stage 1, students enrolled to Stage 2 Statistcs must take MST10030 in Stage 2
    		MST10030 Linear Algebra I Spring  5
    Stage 2 Options - B) Min 0 of:
    MST20070 must be taken in stage 2 or stage 3
    		MST20070 Multivariable Calculus with Applications Autumn  5
    Stage 3 Core Modules
    		 STAT30010 Time Series Autumn  5
    Stage 3 Core Modules
    		 STAT30270 Statistical Machine Learning Spring  5
    Stage 3 Core Modules
    		 STAT40150 Multivariate Analysis Spring  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT30080 Models - Survival Models Autumn  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT30090 Models - Stochastic Models Autumn  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT30340 Data Programming with R Autumn  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT40110 Design of Experiments Autumn  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT40800 Data Prog with Python (online) Autumn  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT30250 Advanced Predictive Analytics Spring  5
    Stage 3 Options - A)2 of:
    Students must register to three Stage 3 core modules and select two of the listed Stage 3 option modules. MST20070 must be taken in Stage 2 or Stage 3
    		 STAT40080 Nonparametric Statistics Spring  5
    Stage 3 Options - B) Min 0 of:
    MST20070 must be taken in stage 2 or stage 3
    		MST20070 Multivariable Calculus with Applications Autumn  5
    Stage 4 Core Modules
    		 STAT30010 Time Series Autumn  5
    Stage 4 Core Modules
    		 STAT30270 Statistical Machine Learning Spring  5
    Stage 4 Core Modules
    		 STAT40150 Multivariate Analysis Spring  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT30080 Models - Survival Models Autumn  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT30090 Models - Stochastic Models Autumn  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT30340 Data Programming with R Autumn  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT40110 Design of Experiments Autumn  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT40800 Data Prog with Python (online) Autumn  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT30250 Advanced Predictive Analytics Spring  5
    Stage 4 Options - A)2 of:
    Stage 3 option modules
    		 STAT40080 Nonparametric Statistics Spring  5
    Stage 4 Options - B) Min 0 of:
    MST20070 must be taken in stage 2 or stage 3
    		MST20070 Multivariable Calculus with Applications Autumn  5

    See the UCD Assessment website for further details

    Module Weighting Info
     
      Award GPA
    Programme Module Weightings Rule Description Description >= <=
    BHACS001 Stage 3 - 50.00%
    Stage 2 - 50.00%
    		 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
    BHACS023 Stage 3 - 70.00%
    Stage 2 - 30.00%
    		 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
    BHACS027 Stage 4 - 50.00%
    Stage 3 - 30.00%
    Stage 2 - 20.00%
    		 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
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