MScStatistics and Operational Research

Study location	United Kingdom, Colchester Campus
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	MSc

Entry qualification	Undergraduate diploma (or higher) A degree with an overall high 2:2.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent IELTS: 6.0 overall (with a minimum component score of 5.5) CAE: C

Other requirements	At least 1 reference(s) must be provided. Reference should be written on official letterhead, signed and dated. Please upload it in the Documents section. CV

More information	essex.ac.uk/..tercourse=PG00808&subgroup=1

Overview

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

Programme structure

Year 1

Nonlinear Programming
Combinatorial Optimisation
Modelling Experimental Data (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
Applied Statistics (optional)
Bayesian Computational Statistics
Research Methods
Dissertation
Ordinary Differential Equations (optional)
Graph Theory (optional)
Partial Differential Equations (optional)
Portfolio Management (optional)
Machine Learning and Data Mining (optional)
Evolutionary Computation and Genetic Programming (optional)
Time Series Econometrics (optional)
Panel Data Methods (optional)
Applications of Data Analysis (optional)
Mathematical Research Techniques Using Matlab (optional)

Career opportunities

Our MSc Statistics and Operational Research 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 on our module, Combinatorial Optimisation, prepares you for further study at doctoral level. Graduates of this course now hold key positions in government, business and academia.