Bachelor of Science in Economics & Mathematical Sciences

The course is full time over four years. In the first two years of the programme, students are introduced to the principles of macro - and microeconomics, calculus, and statistics. The final two years of the programme concentrate on the development of skills in mathematical modelling, statistical analysis and econometrics and their application to a range of problems in economics. The second semester of Year 3 is spent on a Cooperative Education placement. You will gain experience in a working environment which requires the skills that you will have developed during your studies.

In Years 2, 3 or 4, students can apply to spend a semester studying abroad at one of our partner institutes worldwide.

Year 1

Semester 1  
 

• Calculus 1    
• Linear Algebra 1
• Computer Software 1
• Microeconomics

Electives – choose one of:
 

• Financial Accounting    
• Measure & Properties of Matter
• Mechanics/Heat/Electricity/Magnetism
• Foundations of Computer Science 1
• Mathematics Laboratory

Semester 2
 

• Calculus 2
• Macroeconomics
• Introduction to Probability & Statistics

Electives – choose two of:
 

• Accounting for Financial Decision Making
• Further Linear Algebra
• Computer Science 2

Year 2

Semester 3
 

• Probability Models
• Ordinary Differential Equations    
• Intermediate Macroeconomics
• Econometrics    
• Methods of Linear Analysis    

Semester 4
 

• Contemporary Issues in the Global Economy
• International Economics
• Applied Economic Analysis

Electives – choose two of:
 

• Partial Differential Equations
• Introduction to Numerical Analysis
• Applied Data Analysis
• Operations Research 1

Year 3

Semester 5    
 

• Statistical Inference    
• Advanced-Data Analysis    
• Economics of Natural Resources    
• Managerial Economics    

Elective - choose one:
 

• Introduction to Fluid Mechanics    
• Analysis
• Linear Algebra 2    
• Geometry

Semester 6
 

• Cooperative Education

Year 4

Semester 7
 

• Industrial Economics    
• International Political Economy    
• Final Year Project A    

Electives - choose two:    
 

• Stochastic Processes
• Operations Research 2    
• Discrete Mathematics 2    
• Perbutation Techniques & Asymptotics

Semester 8
 

• Public Finance
• Monetary Economics and International Finance
• Final Year Project B

Electives – choose two:
 

• Time Series Analysis
• Advanced Data Modelling
• Mathematical Modelling
• Dynamical Systems
• Optimisation

Tuition Fees

These are based on Residency, Citizenship, Course requirements.

Review the three groups of criteria to determine your fee status as follows
 

1. Residency
    
   • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
      
2. Citizenship
    
   • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
      
3. Course Requirements (all must be met)
   • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
   • You must be undertaking a full-time undergraduate course of at least 2 year’s duration
   • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)

Employability skills from this degree
 

• Analysing and interpreting data
• Finding patterns and drawing conclusions
• Applying economic principles and models
• Approaching problems in an analytical and rigorous way
• Formulating theories and applying them to solve problems
• Handling complex data and applying mathematical and statistical analysis methods
• Presenting mathematical arguments and conclusions with accuracy and clarity
• Logical thinking
• Communication and presentation skills
• Time management
• Organisational skills and working methodically and accurately
• Teamwork and the ability to work independently
• Statistical analysis