91桃色

 
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BSc in Actuarial Science

Programme Code: UBACT2

Department: Statistics

For students starting this programme of study in 2022/23

Guidelines for interpreting programme regulations



Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.

Paper

Course number, title (unit value)

91桃色100

91桃色100 is a half unit taken by all students, running across Autumn and Winter Terms in the first year. The course provides one of the marks that is eligible to be included in the calculation of the First Year Average for purposes of classification.

Students will choose ONE of the three half-unit options below:

91桃色100A The 91桃色 Course: How can we transform our climate futures? (0.5)

91桃色100B The 91桃色 Course: How can we control AI? (0.5)

91桃色100C The 91桃色 Course: How can we create a fair society? (0.5)

Year 1

Paper 1

ST102 Elementary Statistical Theory (1.0) #

Paper 2

MA100 Mathematical Methods (1.0) #

Paper 3

Courses to the value of 1.0 unit(s) from the following:

 

MA103 Introduction to Abstract Mathematics (1.0) #

 

OR

Two half-unit courses from:

 

AC102 Elements of Financial Accounting (0.5)

 

AC103 Elements of Management Accounting, Financial Management and Financial Institutions (0.5)

 

MA102 Mathematical Proof and Analysis (0.5) #

 

ST101 Programming for Data Science (0.5) #

 

ST115 Managing and Visualising Data (0.5) #

Paper 4

EC1A3 Microeconomics I (0.5) # and EC1B3 Macroeconomics I (0.5) #

Year 2

Paper 5

ST202 Probability, Distribution Theory and Inference (1.0) #

Paper 6

MA212 Further Mathematical Methods (1.0) #

Paper 7

ST226 Actuarial Investigations: Financial (0.5) # and ST227 Survival Models (0.5) #

Paper 8

Courses to the value of 1.0 unit(s) from the following: A

 

AC102 Elements of Financial Accounting (0.5)

 

AC103 Elements of Management Accounting, Financial Management and Financial Institutions (0.5)

 

EH101 The Internationalisation of Economic Growth, 1870 to the present day (1.0)

 

FM213 Principles of Finance (1.0) #  (withdrawn 2024/25)

 

MA102 Mathematical Proof and Analysis (0.5) #

 

MA103 Introduction to Abstract Mathematics (1.0) #

 

MA203 Real Analysis (0.5) #

 

ST207 Databases (0.5) #

Undergraduate Outside Options List (Years 2 & 3)

Year 3

Paper 9

ST301 Actuarial Mathematics (Life) (0.5) # and ST302 Stochastic Processes (0.5) #

Paper 10

ST330 Stochastic and Actuarial Methods in Finance (1.0) #

 

OR

Courses to the value of 1.0 unit(s) from the following:
(please note that students can replace Papers 10, 11 or 12 with subjects to the value of one unit approved by their tutor from the Undergraduate Outside Options List, but this will affect exemptions from examinations set by the Institute and Faculty of Actuaries)

Undergraduate Outside Options List (Years 2 & 3)

Paper 11

Courses to the value of 1.0 unit(s) from the following:

 

ST300 Regression and Generalised Linear Models (0.5) #

 

ST303 Stochastic Simulation (0.5) #

 

ST304 Time Series and Forecasting (0.5) #

 

ST306 Actuarial Mathematics (General) (0.5) #

 

ST308 Bayesian Inference (0.5) #

 

ST310 Machine Learning (0.5) #

 

ST313 Ethics for Data Science (0.5) #

 

ST326 Financial Statistics (0.5) #

 

OR

Courses to the value of 1.0 unit(s) from the following:
(please note that students can replace Papers 10, 11 or 12 with subjects to the value of one unit approved by their tutor from the Undergraduate Outside Options List, but this will affect exemptions from examinations set by the Institute and Faculty of Actuaries)

Undergraduate Outside Options List (Years 2 & 3)

Paper 12

Courses to the value of 1.0 unit(s) from the following:

 

MA203 Real Analysis (0.5) #

 

MA208 Optimisation Theory (0.5) #

 

MA209 Differential Equations (0.5) #

 

MA318 History and Culture of Mathematics (0.5) #

 

ST300 Regression and Generalised Linear Models (0.5) #

 

ST303 Stochastic Simulation (0.5) #

 

ST306 Actuarial Mathematics (General) (0.5) #

 

ST308 Bayesian Inference (0.5) #

 

ST310 Machine Learning (0.5) #

 

ST311 Artificial Intelligence (0.5) #

 

ST312 Applied Statistics Project (0.5) #

 

ST313 Ethics for Data Science (0.5) #

 

ST326 Financial Statistics (0.5) #

 

OR

Courses to the value of 1.0 unit(s) from the following:
(please note that students can replace Papers 10, 11 or 12 with subjects to the value of one unit approved by their tutor from the Undergraduate Outside Options List, but this will affect exemptions from examinations set by the Institute and Faculty of Actuaries)

Undergraduate Outside Options List (Years 2 & 3)

Undergraduate Outside Options List (Years 2 & 3)

Prerequisite Requirements and Mutually Exclusive Options

* means available with permission

# means there may be prerequisites for this course. Please view the course guide for more information.

Footnotes

A : Courses chosen from the Undergraduate Outside Options List must be discussed with the Academic Mentor.

Individual exemptions from 2019-2020 onwards:

CS1

ST102 (x0.45) ST202 (x0.40)
&
[ST300 or ST308 or ST306] (x0.15) 

CS2

ST227 (x0.30), ST302 (x0.30)
&
The average of two of the following courses:
[ST303, ST306, ST304, ST326] (x0.4)

CM1

ST226 (x0.5) & ST301 (x0.5)

CM2

ST330 (x0.8) & ST306 (x0.20)

CB1

[(AC102 & AC103) or AC104] (x0.5)
&
FM212/FM213 (x0.5)

CB2

EC100 or EC102 or (EC1A3 & EC1B3)

Accreditation:

Accredited by the Chartered Institute of Management Accountants (CIMA) for the purpose of exemption from some professional examinations through the Accredited degree accelerated route. Accredited by the Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status. Further information is available on the Department of Statistics website.

Note for prospective students:
For changes to undergraduate course and programme information for the next academic session, please see the . Changes to course and programme information for future academic sessions can be found on the .