Mathematics and Computer Science MSci

Program Overview

The MSci Mathematics and Computer Science program combines the fundamentals of both disciplines, allowing students to explore the interplay between analytical, statistical, computational, and programming skills. Through a comprehensive curriculum and research opportunities, graduates are equipped with highly sought-after skills in today's competitive job market, ranging from statistics and robotics to machine learning and artificial intelligence. The program emphasizes personal development, fostering critical thinking, independent learning, and strong industry connections.

Program Outline

Degree Overview:

On this MSci Mathematics and Computer Science program, you will be challenged to study a wide range of subject areas, developing your critical thinking and independent learning skills. Learn how the worlds of mathematics and computer science work seamlessly together as you combine your passion for both subjects. Depending on your interests, you can choose to specialize in areas such as statistics, algebra, robotics and machine learning, all key areas which have a huge impact on our lives today. Your fourth year sees you take on an in-depth research project to explore your chosen area more fully. You'll leave equipped with highly-sought after skills, easily standing out in the competitive job market and ready to confidently take on your chosen career. We will support you to think logically, independently and imaginatively, equipping you to make the most of the opportunities ahead. Computer scientists use mathematics to design efficient compression algorithms, to understand the semantics of programming languages and for the theory behind internet security systems.

Outline:

• Year 1:
• Computer Systems and Professional Practice - 20 credits
• Data Structure & Algorithms - 20 credits
• Mechanics - 10 credits
• Object Oriented Programming - 20 credits
• Probability & Statistics - 10 credits
• Real Analysis - 20 credits
• Vectors, Geometry & Linear Algebra - 20 credits
• Year 2:
• Core modules:
• Algebra & Combinatorics 1 - 20 credits
• Databases and Web Programming - 20 credits
• Functional Programming - 20 credits
• Real & Complex Analysis - 20 credits
• Security and Networks - 20 credits
• Optional modules:
• Differential Equations - 20 credits
• Statistics - 20 credits
• Year 3:
• Core modules:
• Either Computer Science Project (40 credits) or Research Skills in Mathematics (20 credits)
• Linear Algebra & Linear Programming - 20 credits
• Optional modules:
• Mathematics modules:
• Algebra & Combinatorics 2
• Differential Equations
• Combinatorics and Communication Theory
• Graph Theory
• Mathematical Finance
• Multivariable and Vector Analysis
• Number Theory
• Statistics
• Computer Science modules:
• Advanced Functional Programming
• Advanced Networking
• Algorithms and Complexity
• Computer Vision and Imaging
• Computer-Aided Verification
• Dependable and Distributed Systems
• Evolutionary Computation
• Game Theory
• High Performance Computing
• Human-Computer Interaction
• Intelligent Data Analysis
• Intelligent Interactive Systems
• Intelligent Robotics
• Intelligent Software Engineering
• Machine Learning
• Mobile & Ubiquitous Computing
• Natural Language Processing
• Neural Computation
• Programming Language Principles, Design, and Implementation
• Security of Real-World Systems
• Teaching Computer Science in Schools
• Year 4:
• Core module:
• Project in Mathematics OR Software Project in Computer Science - 40 credits
• Optional modules:
• Mathematics modules:
• Advanced Topics in Combinatorics
• Applied Statistics
• Combinatorics and Communication Theory
• Continuum Mechanics
• Group Theory
• Graph Theory
• Mathematical Finance
• Medical Statistics
• Methods in Partial Differential Equations
• Number Theory
• Numerical Methods and Numerical Linear Algebra
• Randomness and Computation
• Statistical Methods in Finance and Economics
• Computer Science modules:
• Advanced Cryptography (Extended)
• Advanced Functional Programming (Extended)
• Advanced Networking (Extended)
• Algorithms and Complexity (Extended)
• Bayesian Inference and Computation
• Computer Vision and Imaging
• Computer-Aided Verification (Extended)
• Dependable and Distributed Systems (Extended)
• Evolutionary Computation (Extended)
• Game Theory (Extended)
• High Performance Computing (Extended)
• Human-Computer Interaction (Extended)
• Intelligent Data Analysis
• Intelligent Interactive Systems (Extended)
• Intelligent Robotics (Extended)
• Intelligent Software Engineering (Extended)
• Machine Learning
• Mobile & Ubiquitous Computing (Extended)
• Natural Language Processing (Extended)
• Neural Computation (Extended)
• Programming Language Principles, Design, and Implementation (Extended)
• Secure Software and Hardware Systems
• Security of Real-World Systems
• Teaching Computer Science in Schools (Extended)

Assessment:

You will be assessed through a variety of methods, including exams, class tests, coursework, and research projects. Regular feedback and assessment will be provided to help you build on your existing skills. Your fourth-year project will contribute to a third of your final year marks, and you'll be supported along the way by a personal academic supervisor. You will receive feedback on each assessment within 15 working days, so that you can learn from, and build on, what you have done. Via a combination of lectures, tutorials and support classes, you'll be introduced to a range of subjects and ideas, problem-solving and analytical techniques, with regular assessment and feedback. In your fourth year, you will shift your focus to research, working independently on a major research project and presenting your work - excellent preparation for your career or further study. All modules are linked to Canvas - a virtual learning environment for lecture notes, additional learning units, self-tests and supplementary interactive information.

Careers:

Our graduates can be found in roles as diverse as:

• Accountant
• Actuary
• Management Consultant
• Banker
• IT

Other:

• Personal Development: The program emphasizes personal development alongside academic studies, equipping students with skills and qualities needed for a successful career journey.
• Learning Experience: Students enjoy weekly tutorials in small groups with their personal tutor for the first two years of their degree.
The Mathematics Learning Centre provides a space for independent or group learning. Modules in year four are reflective of staff research interests and classes are often small and highly interactive. You can therefore specialize in the areas of Mathematics that interest you.
• Extra-curricular Activities: The student society MathSoc runs regular events and trips, helping students to settle into the School and enjoy the social side of student life.
Students can also attend informal events run by the School to get to know the staff and fellow students better.
• Support: Students have access to a comprehensive support system, including personal tutors, wellbeing officers, the Academic Skills Centre, and the Academic Writing Advisory Service (AWAS).
• Contact Hours: Modules are worth either 10 or 20 credits, and students will take modules totalling 120 credits each year.
For each 10 credits of modules, students will have 22 hours of lectures.
• Careers Guidance: The University offers a unique careers guidance service tailored to the academic subject area, sourcing exclusive work experience opportunities, mentoring, global internships, and placements.
One-to-one support with CVs and job applications is also available. The employer-endorsed Personal Skills Award (PSA) recognizes extra-curricular activities and provides an accredited employability programme designed to improve career prospects.

Tuition fees for placement years (where applicable) Non-UK£1,665.00 per yearUK:£1,215.00 per year