Course summary
Data is the lifeblood of our society and mathematics is the language that underpins the science of understanding that data. From medicine to government offices, and market research to the environment, the collection and analysis of data is crucial to understanding how to improve, create and guide products and services across the globe. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase. Our MSci Mathematics and Data Science is an Integrated Masters course that will cover key skills in mathematics and data science giving you the opportunity to apply theory and methods to real-world problems. You will foster your understanding of mathematics, develop skills to use smart devices efficiently and use statistical techniques and methods to interpret and exploit big data. Skill with programming is crucial in managing processes and databases, analysing data sets and developing data processing pipelines. This course will introduce you to Python and R for statistical analysis and data visualisation. In the latter years of your degree, you will undertake a Capstone project, allowing you to apply the techniques you’ve learned to a data science topic of your own. Topics include:
- Mathematical skills including, applied mathematics, pure mathematics and optimisation
- Computer science and programming
- Statistics and operations research
- Artificial intelligence, databases and information retrieval
- Ethical issues around the use and processing of data
- Specialist skills in the areas of big data, data analytics and data science
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:
- G199
- Institution code:
- E70
- Campus name:
- Colchester Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
- Year 3
Entry requirements
Qualification requirements
UCAS Tariff - 120 - 128 points
A level - ABB - BBB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDM
International Baccalaureate Diploma Programme - 33 points
At Essex we consider your whole application – not just grades. If you don’t meet the exact grade requirements, you may still be considered. We’re dedicated to helping students from underrepresented groups to access an Essex education. We may give you a Contextual Offer up to two A-Level grades below our standard conditional offer based on where you live, your school, and other details from your application. Involvement in our on-campus events may also support eligibility for a Contextual Offer.
Please click the following link to find out more about qualification requirements for this course
Student Outcomes
There is no data available for this course. For further information visit 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 |
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
EU | £21525 | Year 1 |
International | £21525 | Year 1 |
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
University of Essex
Wivenhoe Park
Colchester
CO4 3SQ