Aeronautical and Automotive Engineering
Computer Science and Mathematics
General information
This degree course is divided equally into topics from computer science and mathematics so that graduates have a wide range of experience in both areas.
The course will appeal to students who would like to study applications of logic and mathematics to computer science, and also the application of computational techniques to mathematics.
The core mathematics subjects required for business and industry are studied in the first two years, with a particular emphasis on computational methods. The core computer science subjects studied in the first two years have a particular emphasis on mathematical aspects of computer science.
Course structure
Year 1
- Databases
- Object-Oriented and Programming and Algorithms
- Logic and Functional Programming
- Geometry, Vectors and Complex Numbers
- Computer Applications in Mathematics
- Calculus
- Linear Algebra
- Introductory Probability and Statistics
Year 2
- AI Methods
- 2D Computer Graphics
- Team Project
- Requirements Analysis
- Legal and Professional Issues in Computing
- Formal Specification
- Introduction to Applied Mathematics
- Numerical Methods 1
- Sequences and Series
- Differential Equations
- Numerical Methods 2
Optional Professional Placement Year
Year 3
Compulsory modules:
- Algorithm Analysis
- Computer Science and Maths Project
- Mathematical Methods for Differential Equations (MSci Only)
- Linear Differential Equations (MSci Only)
Optional modules:
- Computer Vision
- Software Project Management
- Agent-Based Systems
- Formal Languages and Theory of Computation
- 3D Computer Graphics
- e-Business Planning and Marketing
- Data Mining
- e-Commerce Security
- Operational Research
- Advanced Artificial Intelligence Systems
- Abstract Algebra
- Statistical Modelling
- Mathematical Biology
- Studies in Science and Mathematics Education
- Vector Spaces
- Analysis
- Vector Calculus
- Modelling with Differential Equations
- Probability Theory
- Information Retrieval
- International Computing
- Number Theory
- Introduction to Differential Geometry
- Complex Variables
- ODEs and Calculus of Variations
- Random Process and Time Series Analysis
- Elements of Topology
Year 4 MSci
- Mathematical Modelling of Industrial Problems 1
- Thesis Project
- Innovation and Entrepreneurship for Engineers
- Teamwork and Leadership
- Managing a Project Team
- Mathematical Modelling of Industrial Problems 2
Study options and entry requirements
Here you will find information about the various study options available for this course and the entry requirements for each option.
MSci (Hons) 4 years full time
UCAS code: GGK1
- A-Level
- AAB-AAA including Maths grade A
- SQA
- IB
- 34 points including 6 at HL in Maths
- Other
- Other: GCSE Maths grade B
- Additional
MSci (Hons) DPS 5 years full time
UCAS code: GGL1
- A-Level
- AAB-AAA including Maths grade A
- SQA
- IB
- 34 points including 6 at HL in Maths
- Other
- Other: GCSE Maths grade B
- Additional
BSc (Hons) 3 yrs full-time
UCAS code: GG4C
- A-Level
- ABB-AAB including Maths grade A
- SQA
- IB
- 32 points including 6 at HL in Maths
- Other
- Other: GCSE Maths grade B
- Additional
BSc (Hons) DPS 4 years full-time sandwich
UCAS code: GG4D
- A-Level
- ABB-AAB including Maths grade A
- SQA
- IB
- 32 points including 6 at HL in Maths
- Other
- Other: GCSE Maths grade B
- Additional
SQA = Scottish Qualifications Authority IB = International Baccalaureate
