MSc Data Science
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
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
If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you
You study a balance of solid theory and practical application including:
Computer science
Programming
Statistics
Data analysis
Probability
Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology
You also benefit from being taught in our School of Computer Science and Electronic Engineering, who are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of their research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014)
Facilities
Location
Start date
Start date
Reviews
Subjects
- Statistics
- Programming
- Probability
- Engineering
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
Dissertation (optional)
MSc Project and Dissertation (optional)
Applied Statistics
Machine Learning and Data Mining
Modelling Experimental Data
Text Analytics
Artificial Neural Networks (optional)
Bayesian Computational Statistics (optional)
Big-Data for Computational Finance (optional)
Combinatorial Optimisation (optional)
High Performance Computing (optional)
Natural Language Engineering (optional)
Nonlinear Programming (optional)
Professional Practice and Research Methodology (optional)
Programming in Python (optional)
Information Retrieval (optional)
Data Science and Decision Making (optional)
Research Methods (optional)
Statistical Methods (optional)
Stochastic Processes (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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MSc Data Science