# Statistics Joint Major (SAJ2)

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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
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

Module ID Module Title Trimester Credits
Stage 2 Core Modules

STAT20200 Probability Autumn 5
STAT20240 Predictive Analytics Autumn 5
STAT20180 Bayesian Analysis Spring 5
STAT30280 Inference for Data Analytics (online) Spring 5
Stage 2 Core Modules

Stage 2 Options - A)MIN0OF:
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 - A)MIN0OF:
If not previously taken in Stage 1, students enrolled to Stage 2 Statistcs must take MST10030 in Stage 2

Stage 2 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

MST20070 Multivariable Calculus with Applications Autumn 5
Stage 2 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

Stage 3 Core Modules

STAT30010 Time Series Autumn 5
STAT30270 Statistical Machine Learning Spring 5
STAT40150 Multivariate Analysis Spring 5
Stage 3 Core Modules

Stage 3 Options - A)2OF:
Stage 3 option modules

STAT30080 Models - Survival Models Autumn 5
STAT30090 Models - Stochastic Models Autumn 5
STAT40620 Data Programming with R Autumn 5
STAT41020 Survey Sampling Autumn 5
STAT30250 Advanced Predictive Analytics Spring 5
STAT40080 Nonparametric Statistics Spring 5
STAT40510 Applied Statistical Modelling Spring 5
Stage 3 Options - A)2OF:
Stage 3 option modules

Stage 3 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

MST20070 Multivariable Calculus with Applications Autumn 5
Stage 3 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

Stage 4 Core Modules

STAT30010 Time Series Autumn 5
STAT30270 Statistical Machine Learning Spring 5
STAT40150 Multivariate Analysis Spring 5
Stage 4 Core Modules

Stage 4 Options - A)2OF:
Stage 3 option modules

STAT30080 Models - Survival Models Autumn 5
STAT30090 Models - Stochastic Models Autumn 5
STAT40620 Data Programming with R Autumn 5
STAT41020 Survey Sampling Autumn 5
STAT30250 Advanced Predictive Analytics Spring 5
STAT40080 Nonparametric Statistics Spring 5
STAT40510 Applied Statistical Modelling Spring 5
Stage 4 Options - A)2OF:
Stage 3 option modules

Stage 4 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

MST20070 Multivariable Calculus with Applications Autumn 5
Stage 4 Options - B)MIN0OF:
MST20070 must be taken in stage 2 or stage 3

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

3.08

3.67

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

3.08

3.67

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

3.08

3.67