Full time
1 year
03-OCT-24
MSc - Master of Science
Data Analysis Seo (Search Engine Optimisation)
Taught
Our MSc Optimisation and Data Analytics will appeal if your first degree included mathematics as its major subject. We expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.
You specialise in areas including:
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.
Your future
Our MSc Optimisation and Data Analytics will equip you with employability skills like problem solving, analytical reasoning, data analysis, and mathematical modelling, as well as training you in independent work, presentation and writing skills.
Your exposure to current active research areas, such as decomposition algorithms, prepares you for further study at doctoral level. Graduates of this course now hold key positions in government, business and academia, and work for global companies such as Ocado Technology and Dunnhumby, as well as for HM Revenue & Customs, as data and business intelligence analysts.
We also offer supervision for PhD, MPhil, and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.
For this course (per year)
£10,000
For this course (per year)
£21,700
We will consider applicants with a 2:1 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.
The University of Essex prides itself on being at the forefront of change. It is an institution with a culture of boldness where creativity and curiosity in learning are both encouraged and expected. It’s a UK university, placing 36th and 32nd according to the Whatuni Student Choice Awards 2023 and the 2024 Complete University Guide rankings, respectively. At the University of Essex, students are taught by world-leading academics in a...more
Full time | 1 year | 03-OCT-24
Full time | 1 year | 03-OCT-24
Full time | 1 year | OCT-24
Full time | 1 year | 03-OCT-24
Full time | 1 year | 03-OCT-24