MSc Data Science with Professional Placement: Fees & Entry Requirements at University of Essex, UK

MSc Data Science with Professional Placement

UK

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2

What will I learn?

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.Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data. MSc Data Science with Professional Placement offers a unique opportunity for you to gain relevant work experience within an external business or organisation, giving you a competitive edge in the job market and providing you with key contacts within the industry.The placement is undertaken between the taught part of the course and the individual project. Its aim is to allow you to acquire industry experience and, especially, develop an appreciation of how the skills acquired in the taught part of the course can be applied to real world problems.With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other areas. Our recent graduates have gone onto work as data scientists and data analysts in both the private and public sectors.

Which department am I in?

Mathematics, Statistics and Actuarial Science

Study options

Full Time (2 Years)

Tuition fees
£23,875.00 (26,01,329) per year
This is a fixed fee

*Price shown is for indicative purposes, please check with institution

Application deadline

Expected July 2027

Start date

October 2026

Venue

University of Essex

Wivenhoe Park,

Colchester,

Essex,

CO4 3SQ, Southern England, United Kingdom

Full Time (2 Years)

Tuition fees
£23,875.00 (26,01,329) per year
This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Start date

October 2027

Venue

University of Essex

Wivenhoe Park,

Colchester,

Essex,

CO4 3SQ, Southern England, United Kingdom

Entry requirements

For international students

We will consider applicants with a 2:2 degree in one of the following subjects: Mathematics, Statistics, Operational research, Computer Science, Applied Mathematics, Pure Mathematics, Biostatistics, Economic Statistics, Statistics, Economics OR a 2.2 degree in any subject which includes one module in: Calculus, Maths, Engineering Maths, Advanced Maths and one module in Statistics or Probability, Maths, Engineering Maths, Advanced Maths and one additional relevant module, from Algebra, Analysis, Programming language (R, Matlab or Python), a second module in Probability or Statistics, Numerical Methods, Complex Numbers, Differential Equations, Optimisation (Linear Programming), Regression, Stochastic Process, Maths, Engineering Maths, Advanced Maths. Applicants with a degree below 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience and previous modules studied.

*There may be different IELTS requirements depending on your chosen course.

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About University of Essex

At Essex, students learn to think differently, find new ways of doing things and adopt new techniques for solving problems.

  • World-leading academics in a research-intensive environment
  • Foundation, undergraduate and postgraduate degrees
  • Flexible course structure, students study what matters to them
  • Internationally diverse university
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