Computer Science and Mathematics : MSci Hons : GG1K

Master

In Lancaster

£ 9,250 VAT inc.

Description

  • Type

    Master

  • Location

    Lancaster

  • Duration

    4 Years

  • Start date

    Different dates available

Mathematics and computing are intrinsically linked. By combining them in one Masters programme you gain a robust, advanced understanding of the two disciplines, equipping you with sophisticated specialist skills and detailed technical knowledge, allowing you to excel in your chosen career.

Mathematics forms the foundations of all technology and computing, and as such, a rigorous study of the discipline provides invaluable insight and understanding into computer science. Furthermore, computer science is itself a dynamic discipline with a wide range of applications. As a result, this combined programme offers you a robust and comprehensive skill set, in-depth specialist knowledge, and fantastic career opportunities.

You will explore the theory and practice of innovative and experimental computer science, while gaining an advanced understanding of the mathematical concepts and processes behind them. The depth and breadth of knowledge and experience gained over the four years will prove to be a challenging but rewarding opportunity, placing you in the strongest position as you move forward into your chosen career.
In the second year, you will begin to drill down into specialist maths and computing modules, studying Human-Computer Interaction; Software Design; Linear Algebra; and Social, Ethical and Professional Issues in Computing. These core modules will ensure you gain a solid understanding of the disciplines that is applicable in the real-world. Alongside these, you will also be able to choose from a range of optional maths modules, these include: Abstract Algebra, Complex Analysis, and Real Analysis. In addition, you will bring your skills and knowledge together in a group project, which will allow you to apply what you have learnt to the real-world and gain valuable, practical experience.

Facilities

Location

Start date

Lancaster (Lancashire)
See map
Lancaster University, LA1 4YW

Start date

Different dates availableEnrolment now open

About this course

During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and mathematical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. Additionally, you will be introduced to software development and the fundamentals of computer science. These topics will allow you to gain a wealth of technical knowledge and develop key interdisciplinary skills.

Both computer science and maths graduates are highly sought after individually, but by combining the two disciplines a wide range of opportunities become available. Many of our graduates go on to work in professional software and systems development environments or in technology, computing, financial services or management roles. Our graduates can expect a competitive starting salary in careers such as:

Business Analyst
Data Scientist
Information Systems Manager
Multimedia Programmer
Quantitative Analyst
Risk Analyst
Software Engineer
Alternatively, you may wish to undertake PhD-level study at Lancaster and pursue a career in research and teaching.

A Level AAA including A level Mathematics or Further Mathematics OR AAB including A level Mathematics and Further Mathematics

IELTS 6.0 overall with at least 5.5 in each component.

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Computing
  • Statistics
  • Design
  • Mathematics
  • Financial Training
  • Systems
  • Financial
  • Maths
  • Algebra
  • GCSE Mathematics
  • Probability

Course programme

Many of Lancaster's degree programmes are flexible, offering students the opportunity to cover a wide selection of subject areas to complement their main specialism. You will be able to study a range of modules, some examples of which are listed below.

Year 1

Core

    • Calculus
    • Convergence and Continuity
    • Discrete Mathematics
    • Fundamentals of Computer Science
    • Further Calculus
    • Geometry and Calculus
    • Integration and Differentiation
    • Linear Algebra
    • Numbers and Relations
    • Probability
    • Software Development
    • Statistics
Year 2

Core

    • Computer Science Group Project
    • Human-Computer Interaction
    • Linear Algebra II
    • Social, Ethical and Professional Issues in Computing
    • Software Design

Optional

    • Abstract Algebra
    • Complex Analysis
    • Computational Mathematics
    • Probability II
    • Project Skills
    • Real Analysis
    • Statistics II
Year 3

Core

    • Artificial Intelligence
    • Computer Science Seminars
    • Languages and Compilation
    • Security and Risk

Optional

    • Bayesian Inference
    • Combinatorics
    • Differential Equations
    • Elliptic Curves
    • Financial Mathematics
    • Geometry of Curves and Surfaces
    • Graph Theory
    • Groups and Symmetry
    • Hilbert Space
    • Lebesgue Integration
    • Likelihood Inference
    • Linear Systems
    • Mathematical Education
    • Medical Statistics: study design and data analysis
    • Metric Spaces
    • Multivariate Statistics in Machine Learning
    • Number Theory
    • Probability Theory
    • Representation Theory of Finite Groups
    • Rings Fields and Polynomials
    • Statistical Models
    • Stochastic Processes
    • Time series analysis
Year 4

Core

    • Research Methods

Optional

    • Advanced Human-Computer Interaction 1
    • Advanced Human-Computer Interaction 2
    • Applied Data Mining
    • Assessing Financial Risk: Extreme Value Methods
    • Bayesian Inference
    • Clinical Trials
    • Computer Intensive Methods
    • Data Mining
    • Elements of Distributed Systems
    • Elliptic Curves
    • Environmental Epidemiology
    • Financial Mathematics
    • Fourth Year Project (Computer Science)
    • Galois Theory
    • Generalised Linear Models
    • Hilbert Space
    • Industrial Dissertation
    • Industrial Placement(s)
    • Lebesgue Integration
    • Lie Groups and Lie Algebras
    • Likelihood Inference
    • Longitudinal Data Analysis
    • Mathematics Dissertation
    • Metric Spaces
    • Operator Theory
    • Principles of Epidemiology
    • Probability Theory
    • Representation Theory of Finite Groups
    • Statistics Dissertation
    • Stochastic Calculus for Finance
    • Stochastic Processes
    • Systems Architecture and Integration
    • Topology and Fractals

Lancaster University offers a range of programmes, some of which follow a structured study programme, and others which offer the chance for you to devise a more flexible programme. We divide academic study into two sections - Part 1 (Year 1) and Part 2 (Year 2, 3 and sometimes 4). For most programmes Part 1 requires you to study 120 credits spread over at least three modules which, depending upon your programme, will be drawn from one, two or three different academic subjects. A higher degree of specialisation then develops in subsequent years.

Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.

Additional information

Overseas Fee - £18,890

Computer Science and Mathematics : MSci Hons : GG1K

£ 9,250 VAT inc.