Statistics & Operations Research

Quick Programme Summary

Description

The programme has been developed into a focussed mathematical programme that addresses the central needs and skills that employers require in the modern, technical workforce.  It combines elements of statistics, modelling and operations research together with the technical skills to perform the analytical requirements in the finance and business, supply chain management, food and bio-pharma sectors.  The programme is characterised by a core component of modules and a wide choice of optional modules. This permits the student to customise their studies to a particular industrial sector or career path.

Students acquire ICT skills and knowledge that is pertinent and focused towards their use in the workplace.  The programme encourages the development of self-directed, independent learning and research skills.  The ability to communicate and present their understanding and knowledge to both a technical and general audience is also developed through the use of presentations and feedback sessions.

Applicants will be from those with previous qualifications in all areas of engineering (including engineering within the construction/craft industries), science, health, business, economics and IT looking to re-skill into the area of statistics and operations research.

Content

Modules comprising 30 ECTS credits, consisting of:

• Bridging studies (5 ECTS credits)
• Statistics (5 ECTS credits)
• Queueing Theory and Markov Processes (5 ECTS credits)
• Mathematical Software Tools (5 ECTS credits)

A further 3 modules (15 ECTS credits) must be selected from the following list of optional modules.*

• Regression Models I (5 ECTS credits)
• Industrial and Commercial Statistics (5 ECTS credits)
• Linear Programming (5 ECTS credits)
• Decision Theory and Games (5 ECTS credits)
• Integer programming (5 ECTS credits)
• Non-linear programming (5 ECTS credits)
• Regression Models II (5 ECTS credits)

* not all optional modules may be offered in a particular academic year.

How to apply

Applications are made via the DIT part-time application form.   Completed application forms to be submitted by:

Email: joe.condon@dit.ie , OR,

Post: Joe Condon, School of Mathematical Sciences, DIT, Kevin Street, Dublin 8. 

Entry Requirements

Entrants should hold at NFQ level 7 or higher qualification in any subject area with a significant mathematical component or equivalent. The Institute guidelines for the Recognition of Prior Learning (RPL) will be applied. Applications will be assessed individually based upon examination results, transcripts from previous study and evidence of certificated/non-certificated additional learning.

Examinations / Assessments

End of Semester examinations twice a year in January and May/June.  Continuous Assessments for some modules throughout the academic year.

Progression

Further part-time or full-time study of mathematical sciences to honours degree and postgraduate level.

Learning Outcome

On successful completion of the programme, the student will have gained the following:

• a good understanding of statistics, topics in operations research and their applications
• an understanding of business and industry relevant techniques for operations research and statistics
• the ability to confidently apply statistical and operations research skills to typical problems arising in business and industry and to formulate appropriate solutions
• exposure to up-to-date programming and technical software packages used by mathematical professionals

Career Opportunities

Graduates from this programme are well placed to find employment in diverse sectors of the labour market including; pharmaceutics, food science, financial analytics, statistical process/quality control, health/medical devices, biological sectors and quantitative logistics.

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