ÐÓ°ÉÂÛ̳

SkipHome | Help | Search |  
 
Skip You are here - Welcome to ÐÓ°ÉÂÛ̳ > Calendar > Undergraduate > Programme regulations > 2023 > BSc in Data Science
Printer-friendly View Original View

BSc in Data Science

Page contents > Options list | Paper 10 options list | Papers 10 & 11 options list | Prerequisite Requirements and Mutually Exclusive Options | Footnotes

Programme Code: UBDSC

Department: Statistics

For students starting this programme of study in 2023/24

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)

ÐÓ°ÉÂÛ̳100

ÐÓ°ÉÂÛ̳100 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:

ÐÓ°ÉÂÛ̳100A The ÐÓ°ÉÂÛ̳ Course: How can we transform our climate futures? (0.5)

ÐÓ°ÉÂÛ̳100B The ÐÓ°ÉÂÛ̳ Course: How can we control AI? (0.5)

ÐÓ°ÉÂÛ̳100C The ÐÓ°ÉÂÛ̳ 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

ST101A Programming for Data Science (0.5) # and ST115 Managing and Visualising Data (0.5) #

Paper 4

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

 

AC102 Elements of Financial Accounting (0.5)

 

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

 

EC1A3 Microeconomics I (0.5) #

 

EC1B3 Macroeconomics I (0.5) # 1

 

FM101 Finance (0.5)

 

MA102 Mathematical Proof and Analysis (0.5) #

 

MA103 Introduction to Abstract Mathematics (1.0) #

Year 2

Paper 5

If MA102 or MA103 has not been taken in Year 1: 

 

MA102 Mathematical Proof and Analysis (0.5) # and MA222 Further Mathematical Methods (Linear Algebra) (0.5) # A

 

OR

 

If MA102 or MA103 has been taken in Year 1, either:

 

MA212 Further Mathematical Methods (1.0) #

 

or

 

MA203 Real Analysis (0.5) # and MA222 Further Mathematical Methods (Linear Algebra) (0.5) #

Papers 6 & 7

Courses to the value of 2.0 unit(s) from the following:

 

Either

 

ST206 Probability and Distribution Theory (0.5) # and ST211 Applied Regression (0.5) #

 

and 1.0 unit(s) from the options list below

 

Or

 

ST202 Probability, Distribution Theory and Inference (1.0) # and ST211 Applied Regression (0.5) #

 

and 0.5 unit(s) from the options list below

Options list

Paper 8

MA214 Algorithms and Data Structures (0.5) # and ST207 Databases (0.5) #

Year 3

Paper 9

ST310 Machine Learning (0.5) # and ST311 Artificial Intelligence (0.5) #

Paper 10

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

 

ST300 Regression and Generalised Linear Models (0.5) #

 

ST304 Time Series and Forecasting (0.5) #

 

ST308 Bayesian Inference (0.5) #

 

ST326 Financial Statistics (0.5) #

Paper 11

ST312 Applied Statistics Project (0.5) #

 

and 0.5 unit(s) from the list of options below

 

List of options

 

MA301 Mathematical Game Theory (0.5) #

 

MA316 Graph Theory (0.5) #

 

MA320 Mathematics of Networks (0.5) #

 

MA324 Mathematical Modelling and Simulation (0.5) #

 

MA333 Optimisation for Machine Learning (0.5) #

 

ST301 Actuarial Mathematics (Life) (0.5) # 3

 

ST302 Stochastic Processes (0.5) #

 

ST303 Stochastic Simulation (0.5) # 4

 

ST307 Aspects of Market Research (0.5) # 5

 

ST313 Ethics for Data Science (0.5) #

 

ST314 Multilevel and Longitudinal Models (0.5) #

 

any 0.5 unit(s) course listed under paper 10

Paper 10 options list

Paper 12

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

 

FM213 Principles of Finance (1.0) #

 

FM300 Corporate Finance, Investments and Financial Markets (1.0) # 6

 

MA330 Game Theory for Collective Decisions (0.5) #

 

ST313 Ethics for Data Science (0.5) #

 

ST327 Market Research: An Integrated Approach (1.0) # 7

 

ST330 Stochastic and Actuarial Methods in Finance (1.0) # 8

 

any courses listed under papers 10 & 11

Papers 10 & 11 options list

Options list

EC2A3 Microeconomics II (0.5) #

EC2B3 Macroeconomics II (0.5) # 2

EC2C3 Econometrics I (0.5) #

EC2C4 Econometrics II (0.5) #

FM213 Principles of Finance (1.0) #

LL210 Information Technology and the Law (1.0) #

MA103 Introduction to Abstract Mathematics (1.0) # B

MA203 Real Analysis (0.5) # C

MA208 Optimisation Theory (0.5) #

MA210 Discrete Mathematics (0.5) #

MA213 Operations Research Techniques (0.5) #

ST205 Sample Surveys and Experiments (0.5) #

ST226 Actuarial Investigations: Financial (0.5) #

ST227 Survival Models (0.5) #

Paper 10 options list

ST300 Regression and Generalised Linear Models (0.5) #

ST304 Time Series and Forecasting (0.5) #

ST308 Bayesian Inference (0.5) #

ST326 Financial Statistics (0.5) #

Papers 10 & 11 options list

MA301 Mathematical Game Theory (0.5) # 9

MA316 Graph Theory (0.5) #

MA320 Mathematics of Networks (0.5) #

MA324 Mathematical Modelling and Simulation (0.5) #

MA333 Optimisation for Machine Learning (0.5) #

ST300 Regression and Generalised Linear Models (0.5) #

ST301 Actuarial Mathematics (Life) (0.5) # 10

ST302 Stochastic Processes (0.5) #

ST303 Stochastic Simulation (0.5) # 11

ST304 Time Series and Forecasting (0.5) #

ST307 Aspects of Market Research (0.5) # 12

ST308 Bayesian Inference (0.5) #

ST314 Multilevel and Longitudinal Models (0.5) #

ST326 Financial Statistics (0.5) #

Prerequisite Requirements and Mutually Exclusive Options

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

1 : Before taking EC1B3 you must take EC1A3

2 : EC2B3 can not be taken with EC210

3 : Before taking ST301 you must take ST227

4 : Before taking ST303 you must take ST302

5 : ST307 can not be taken with ST205, ST327

6 : Before taking FM300 you must take FM213

7 : ST327 can not be taken with ST307

8 : Before taking ST330 you must take ST302

9 : MA301 can not be taken with MA300

10 : Before taking ST301 you must take ST227

11 : Before taking ST303 you must take ST302

12 : ST307 can not be taken with ST327, ST205

Footnotes

A : Students can obtain exemption from this course if they take MA103 in papers 6&7

B : Students taking this option are exempt from MA102

C : MA203 can only be taken if MA102 or MA103 has been taken under paper 4.

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 .

 
 
Copyright © ÐÓ°ÉÂÛ̳ 2024    Report a page | | |