Bachelor of Arts (BA)

BA Modern Language and Business & Management (French)

Gain specialist knowledge of French culture and global business issues.
  • Duration: 4 years
  • Year of entry: 2025
  • UCAS course code: NR11 / Institution code: M20
  • Key features:
  • Study abroad
  • Study with a language

Full entry requirementsHow to apply

Fees and funding

Fees

Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £26,500 per annum. For general information please see the undergraduate finance pages.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

Residence Abroad

We offer dedicated financial support packages of up to £2,000 for residence abroad students, based on their household income.

You will be automatically assessed for the award based on your Student Finance financial assessment - you just need to make sure you apply for a financial assessment the academic year in which your residence abroad will take place.

Scholarships and Bursaries

Course unit details:
Econometrics

Course unit fact file
Unit code ECON20110
Credit rating 20
Unit level Level 2
Teaching period(s) Full year
Available as a free choice unit? Yes

Overview

To provide students with an understanding of the quantitative methods and tools that

economists use and how they can be appropriately applied and interpreted. These

methods and tools are used in practical and academic settings to test economic theories and measure magnitudes that are relevant for economic policy analysis and other decisions. These methods are a key element of the professional training an economist; they will provide a foundation for subsequent study of applied and quantitative topics and are useful in many careers in economics. The course aims to equip students with a number of core competencies including: (i) an awareness of the main empirical approach to economics, (ii) experience in the analysis and use of data and software packages as tools of quantitative and statistical analysis to answer topical economic questions, (iii) an understanding of the nature of uncertainty and methods of making inference in the presence of uncertainty.

The objectives of this course are that students will be able to:

• understand the main techniques of quantitative economics and econometrics, including their strengths and limitations, at a level appropriate for an economics graduate

• understand how these techniques can be applied to test economic theories and measure economic magnitudes, and have some knowledge of methods and results in selected areas of the applied economics literature

• have some practical experience of the application of econometric methods based on practical exercises

• have acquired the necessary skills and knowledge to be able to critically appraise work in the area of applied economics.

• have a good intuitive and theoretical grasp of the dangers, pitfalls and problems encountered in doing applied modelling.

• have the necessary background material so that they are able to go on to study more advanced and technical material in the area of econometrics.

• use the R software package to obtain basic descriptive statistics using real world data and perform introductory econometric analysis.

Pre/co-requisites

Unit title Unit code Requirement type Description
Advanced Mathematics ECON10071A Pre-Requisite Compulsory
Advanced Statistics ECON10072A Pre-Requisite Compulsory
Advanced Statistics ECON10072B Pre-Requisite Compulsory
Advanced Mathematics ECON10071B Pre-Requisite Compulsory
Pre-Requisites: (ECON10071A AND ECON10072A) OR (ECON10071B AND ECON10072B)

ECON10071 Adv Maths and ECON10072 Adv Stats

 

Aims

The aims of this course are:

1. To provide students with an understanding of the quantitative methods and tools that economists use and how they can be appropriately applied and interpreted. These methods and tools are used in practical and academic settings to test economic theories and measure magnitudes that are relevant for economic policy analysis and other decisions. These methods are a key element of the professional training an economist; they will provide a foundation for subsequent study of applied and quantitative topics and are useful in many careers in economics.

2. The course aims to equip students with a number of core competencies including: (i) an awareness of the main empirical approach to economics, (ii) experience in the analysis and use of data and software packages as tools of quantitative and statistical analysis to answer topical economic questions, (iii) an understanding of the nature of uncertainty and methods of making inference in the presence of uncertainty.

Learning outcomes

The objectives of this course are that students will be able to:

• understand the main techniques of quantitative economics and econometrics, including their strengths and limitations, at a level appropriate for an economics graduate

• understand how these techniques can be applied to test economic theories and measure economic magnitudes, and have some knowledge of methods and results in selected areas of the applied economics literature

• have some practical experience of the application of econometric methods based on practical exercises

• have acquired the necessary skills and knowledge to be able to critically appraise work in the area of applied economics.

• have a good intuitive and theoretical grasp of the dangers, pitfalls and problems encountered in doing applied modelling.

• have the necessary background material so that they are able to go on to study more advanced and technical material in the area of econometrics.

• use the R software package to obtain basic descriptive statistics using real world data and perform introductory econometric analysis.

Syllabus

Provisional

This course will introduce students to the theory and practice of econometric analysis.

Each week part of the lectures will focus on the theoretical underpinnings of econometric analysis, and the remaining part of the lectures and associated example and computer sessions will focus on the practice and application of these ideas, with the aim of providing students with practical and intuitive real world applications of the theory.

• simplelinear regression models

• multiple regression analysis

• inference

• functional form and dummy variables

• parameter properties

• asymptotic inference

• omitted variable bias

• instrumental variables

• introduction to panel data

• time-series data and time-series modelling

• heteroscedasticity

• autocorrelation

• structural breaks

• binary dependent variable models

• maximum likelihood

• Bayesian inference

Teaching and learning methods

Synchronous activities (such as Lectures or Review and Q&A sessions, and tutorials), and guided self-study

Employability skills

Analytical skills
Ability to analyse and interpret quantitative data.
Other
A fluency in using IT/computers for statistical research (programming skills).

Assessment methods

 5% Sem 1 Online quizzes (x4, 1,25% each)

5% Sem 2 Online quizzes (x4,1,25% each)

35% Sem 1 Exam

35% Sem 2 Exam

10% Sem 1 Mid term

10% Sem 2 Mid term

Feedback methods

  • Weekly online quizzes
  • Tutorial feedback.
  • PASS groups.
  • Office hours.
  • Revision sessions.
  • Discussion boards.

Teaching staff

Staff member Role
Yingyu Guo Unit coordinator

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