Mathematics with Statistics Master of Mathematics - MMath (Hons)
Course Overview - Mathematics with Statistics Master of Mathematics - MMath (Hons)
### Why choose this course at Sussex?
* This course aligns with industry demands and will equip you with highly sought-after skills for your career.
* Learn to use statistical methods to draw reliable conclusions from data and make informed decisions.
* Develop strong logical reasoning and problem-solving skills.
Develop the mathematical and statistical skills to understand our rapidly changing world.
You might explore:
* how infectious diseases spread
*...
### Why choose this course at Sussex?
* This course aligns with industry demands and will equip you with highly sought-after skills for your career.
* Learn to use statistical methods to draw reliable conclusions from data and make informed decisions.
* Develop strong logical reasoning and problem-solving skills.
Develop the mathematical and statistical skills to understand our rapidly changing world.
You might explore:
* how infectious diseases spread
* how flood risk is predicted
* how ideas circulate on social media
* how data helps organisations make decisions under uncertainty.
At Sussex, you’ll join a friendly and supportive Mathematics community. Your lecturers will help you get the most from your degree.
In your first two years, you’ll build a strong foundation in mathematics and statistics. Later, you’ll tailor your studies around the topics that interest you most. You’ll also complete a Maths Matters project, using mathematics and statistics to tackle real-world challenges.
Throughout your degree, you’ll also develop valuable analytical, coding and modelling skills using industry-standard tools such as Python and R. There is also a career submodule that will help you think about your employability, develop CV writing skills and prepare for job interviews.
During your integrated Masters year, you’ll study advanced topics and complete a major research project with expert supervision. This is excellent preparation for technical and research-focused careers.
You’ll graduate with highly valued skills in:
* data analysis
* coding
* logical reasoning
* problem solving
* teamwork and communication.
Our graduates go on to careers in areas including data science, finance, software development, statistics, research and academia.
### Location
Nestled in the South Downs National Park, close to the sea and Brighton’s vibrant cultural scene, our campus offers a warm and welcoming home. Situated just an hour from London and 30 minutes from Gatwick Airport, Brighton offers the best of both worlds. Encouraging curiosity, creativity and connection, it combines the best of city life with easy access to the countryside, the UK’s capital and the wider world beyond.
Course Information
1 option available
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Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
2027-09-20
Campus
Main Site
Application Details
13 January
Application deadline
Provider Details
Codes/info
Course Code
B64-H18
Institution Code
S90
Points of Entry
Year 1
Entry Requirements
A level
A,A,B
A-levels must include Mathematics grade A.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDD
You will also need an A-level in Mathematics grade A.
Scottish Higher
A,A,A,B,B
Highers must include Mathematics at grade A. Ideally, you will also have an Advanced Higher in Mathematics (grade A).
International Baccalaureate Diploma Programme
34.0
Higher Levels must include Mathematics, with a grade of 6. Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at Higher Level will be accepted.
Extended Project
We take the EPQ into account when considering your application and it can be useful in the summer when your results are released if you have narrowly missed the conditions of your offer. We do not routinely include the EPQ in the conditions of your offer but we sometimes offer alternative conditions that include the EPQ. If you wish to discuss this further please contact Admissions at ug.applicants@sussex.ac.uk
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Fees and funding
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