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MSci Mathematics and Data Science MSci

University of Essex

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Course options

  • Qualification

    Master of Science - MSci

  • Location

    Colchester Campus

  • Study mode

    Full time

  • Start date

    OCT-22

  • Duration

    4 Years

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’ll foster your understanding of mathematics, develop skills to use smart devices efficiently and use statistical techniques and methods to interpret and exploit big data.The concept and skill of a programming language are the crucial basis for skills in data base programming and management, in developing data processing pipelines and in organising and analysing large and massive data sets. This course will introduce you to programming language Python and R for statistical analysis and data visualisation. In your third year and fourth year, analysing data and methods in group projects will be essential capstone modules for the learning outcomes of the course.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 scienceOur Integrated Masters gives you the opportunity to fast track your degree and complete your final year in nine months compared to a regular MSc which usually takes twelve months. Combining your undergraduate and postgraduate study in one degree will give you a strong theoretical background as well as specialist expertise through independent research. This combination makes graduates from our course attractive candidates for many employers.Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines. You therefore can gain an exceptional range of knowledge and skills that are currently in demand in mathematically oriented employment; in business, commerce, industry, government service, education and in the wider economy.

Application deadline

26 January

Tuition fees

Students living in United States
(international fees)

£ 18,600per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

Entry requirements

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A level : ABB

Including Mathematics. Please note we are unable to accept A-level Use of Mathematics in place of A-level Mathematics.

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University information

University of Essex

  • University League Table

    27th

  • Campus address

    University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, England

The careers team offer dedicated international careers advice and support throughout studies and after graduation.
Central London is easily accessible from all of the university's campuses.
The University of Essex has a student body that represents over 140 nationalities and supports over 30 different cultural societies.

Subject rankings

  • Subject ranking

    67th out of 72 35

  • Entry standards

    / Max 236
    118 49%

    49th

    10
  • Graduate prospects

    / Max 100
    50.0 50%

    60th

    47
  • Student satisfaction

    / Max 5
    4.03 81%

    40th

    13

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