Course summary
Harness the power of logic and reasoning as you seek solutions to today's technological challenges. Are you the type of person who enjoys finding imaginative solutions and exploring the “how” and “why” behind everything? If so, this is the course for you. Mathematics provides the theoretical framework and essential tools for approaching complex problems, while computer science offers the practical expertise to put these solutions into action. Together the two disciplines drive innovation and transform the world around us. Even though technology continues to change, the mathematics behind innovations will stay the same. Studying with us, you’ll gain an understanding of the logic underpinning computing and programming to help you understand systems and technologies as they evolve. You’ll also have the freedom to shape your study with optional modules in your second and third year. Fuel future developments Machine learning, data science, web programming, computer networks and security engineering are just a few of the computer science areas you’ll examine. At the same time, our mathematics teaching team will cover calculus, algebra, probability and much more in their recently renovated £18 million building. To show you how this knowledge applies to the real world, we’ll discuss our research, including one project that helped save thousands of lives in Sub-Saharan Africa. The Undergraduate Research Seminar series is also a great opportunity to learn about topics not covered in the classroom, from neurohydrodynamics to improving cancer therapies with mathematics. By developing expertise in both areas, you’ll future-proof your career options. Want to fuel future developments in research, looking at innovations for computer vision, music and speech? Or eager to work for the likes of Dyson, JP Morgan or the Financial Conduct Authority? Anything is possible.
Modules
YEAR 1 Semester 1 ECS401U - Procedural Programming (15 credits) ECS427U - Professional and Research Practice (15 credits) MTH4300 - Introduction to Analysis and Calculus (30 credits) MTH4113 - Numbers, Sets and Functions (15 credits) Semester 2 ECS414U - Object Oriented Programming (15 credits) ECS421U - Automata and Formal Languages (15 credits) MTH4300 - Introduction to Analysis and Calculus continued (30 credits) MTH4115 - Vectors and Matrices (15 credits) Please note that all modules are subject to change.
Assessment method
Assessment typically includes a combination of coursework (presentations, assignments, essay report writing, in-class tests, research and project work) and/or examinations in May or June. Individual and group projects are assessed through a written report, practical demonstration and oral examination.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- GG41
- Institution code:
- Q50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma - D: 30 credits M: 15 credits
International Baccalaureate Diploma Programme - 36 points
GCSE/National 4/National 5
English language requirements
All applicants to QMUL must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student who will require Tier 4 immigration permission to enter the UK.
Queen Mary University of London: English Language Requirements
http://www.qmul.ac.uk/international/englishlanguagerequirements/index.html#
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
*This is a provisional fee and subject to change.
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS