Postgraduate Certificate in Data Visualisation and Modelling - September 2014
This course is run by the Department of Mechanical Engineering and Mathematical Sciences.
This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications.
With recent developments in digital technology, society has entered the era of ‘Big Data’. However, the explosion and wealth of available data gives rise to new challenges and opportunities in all disciplines – from science and engineering to biology and business.
A major focus is on the need to take advantage of an unprecedented volume of data in order to acquire further insights and knowledge.
The flexibility of the course makes it particularly suitable for students in employment.
Why choose this course?
- Oxford Brookes has a long history of providing high-quality courses in the mathematical sciences
- A flexible approach to study enables participants to complete the Postgraduate Certificate course in between 1 and 5 years (part-time)
- It gives participants from a variety of academic backgrounds the opportunity to develop critical skills in the application of visualisation techniques for understanding and presenting the results of analysis.
This course in detail
Advanced Statistical Modelling
This module introduces a broad class of linear and non-linear statistical models and the principles of statistical inference to a variety of commonly encountered data analysis problems. The software package SPSS will be used as a tool for statistical analysis with the goal of enabling students to develop their critical thinking and analytical skills. The emphasis, however, is very much on the practical aspect of the methodology and techniques with the theoretical basis kept at a minimum level.
Modelling and Data Analysis using MATLAB
This module gives depth of knowledge in advanced modelling techniques and breadth of analysis by virtue of its general application to any field of engineering and data analysis. In this module students learn to build computer models, present and analyse data using the facilities of MATLAB. Some mathematics is taught as relevant to data interpolation, optimisation and/or choosing solvers for models featuring differential equations.
Data Visualisation and Applications
This module provides a general but broad grounding in the principles of data visualisation and its applications. It covers an introduction to perception and the human visual system, design and evaluation of visualisation techniques, analysing, organising and presenting information visually, using appropriate techniques and visualisation systems.
Teaching and learning
The programme follows a supportive teaching and learning strategy based on active student engagement.
Modules offer a variety of teaching methods, and feature a selection of critical appraisal reports, the use of software applications for data analysis, presentations and case studies.
Learning methods include blended learning, formal lectures and problem solving practicals, but also guided independent learning, use of the virtual learning environment Moodle, independent research, software data analyses, and experiments.
Approach to assessment
Due to the data analysis and the interpretive nature of the course content, the high level industrial participation, and the authentic nature of the assessment, all modules are assessed entirely by coursework which includes in-class tests. The assessment regime is selected according to what is appropriate for the material covered.
Department of Mechanical Engineering and Mathematical Sciences
Part-time: up to 5 years
Home / EU part-time on-campus fee: £2,630
Home / EU cost per module: £880
Where part-time fees are quoted this is for the first year only. Fees will increase by approximately 4% each year.
Students entering the course will normally hold one of the following qualifications:
- A good (first or second class) STEM based degree which has developed analytical knowledge and understanding in mathematical sciences. Typically this includes candidates with knowledge and familiarity with basic mathematics and statistics concepts and methods at a degree level.
- Applicants with other qualifications plus work experience from other fields who have quantitative skills and familiarity with data analysis and modelling ideas, to be reflected in their application, will also be considered.
The University strives to widen access to higher education for those traditionally under-represented among students. With respect to this policy the Department’s strategy is to allow the Postgraduate Certificate to be studied on a part-time basis and to give individual consideration to applicants from industry.
THIS COURSE IS NOT AVAILABLE TO NON-EU STUDENTS. Due to a temporary glitch on the system, international student application information is currently displaying despite the course being closed to non-EU applicants.
Preparation courses for International and EU students
We offer a range of courses to help you to meet the entry requirements for this course and also familiarise you with university life. You may also be able to apply for one student visa to cover both courses.
- Take our Pre-Master's course to help you to meet both the English language and academic entry requirements for your master's course.
- If you need to improve your English language, we have pre-sessional English language courses available to help you to meet the English language requirements of your chosen master’s.
If you are studying outside the UK, for more details about your specific country entry requirements, translated information, local contacts and programmes within your country, please have a look at our country pages.
Careers and professional development
How this course helps you develop
The role of data visualisation and modelling has become increasingly important over the last decade. This is because data analysts hold the key to tackling the fundamental problem created by the revolution in the development of computers and automated systems in the 20th Century: how to make sense of the unprecedented volumes of data that are generated on a daily basis?
Indeed, in every aspect of modern life, from online shopping and social networks to scientific research, health and finance, we collect immensely detailed information on actions taking place throughout the world. However, without proper analysis and appropriate interpretation, this data is just noise.
Data analysts and modellers are concerned with turning this large scale data into intelligence through the application of cutting-edge techniques in Statistics, Mathematics and Computer Science.
Currently, global demand for combined statistical, mathematics and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years. For graduates in data visualisation and modelling this shortage presents opportunities to enhance career progression in one of the most crucial areas of modern science.
Free language courses for students - the Open Module
Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.
Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.