MSc Statistics and Operational Research
Postgraduate
In Colchester
Description
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Type
Postgraduate
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Location
Colchester
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Duration
1 Year
About the course
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
Our MSc Statistics and Operational Research will appeal if your first degree included mathematics as its major subject, and we expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming
You specialise in areas including:
Continuous and discrete optimisation
Time series econometrics
Heuristic computation
Experimental design
Machine learning
Linear models
Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology
Our expert staff
Our Department of Mathematical is a small but influential department, so our students and staff know each other personally
You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small
Facilities
Location
Start date
Start date
Reviews
Subjects
- Statistics
- Staff
- GCSE Mathematics
- Mathematics
- Programming
Course programme
Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are, in many instances, just a selection of those available. Our Programme Specification gives more detail about the structure available to our current postgraduate students, including details of all optional modules.
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)
Teaching
Core components can be combined with optional modules, to enable you to gain either in-depth specialisation or a breadth of understanding
Learn to use LATEX to produce a document as close as possible to what professional mathematicians produce in terms of organisation, layout and type-setting
Our postgraduates are encouraged to attend conferences and seminars on a Thursday afternoon
Assessment
Courses are assessed on the results of your written examinations, together with continual assessments of your practical work and coursework
Dissertation
You will be provided with a list of dissertation titles or topics proposed by staff and it may be possible to propose a project of your own
Most dissertations are between 10,000 and 30,000 words in length. However, these are guidelines, not mandatory word counts
Close supervision by academic staff
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Additional information
MSc Statistics and Operational Research