2020/21 Part-time Postgraduate Short course and CPD
Ulster University Business School
Department of Hospitality and Tourism Management
9 February 2021
For full instructions on how to apply for postgraduate short courses, please contact the Centre for Flexible and Continuing Education - FlexEd@ulster.ac.uk
The aim of this course is to introduce participants to the theory and practice of information management in the modern organisation.
This course provides participants with a solid understanding of data driven principles, applications and value in modern organisations. Particular attention is awarded to business process improvement techniques including knowledge management and business intelligence. The opportunity to construct a simple data analytics dashboard system is provided. On completion of the course, participants will be equipped with the skills necessary to evaluate their own personal information management skills and an understanding of the skills required in a sustainable learning organisation for enhanced evidence-based business decision making.
This course can be taken individually or combined over a period of time towards a Postgraduate Certificate of Professional Development.
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The course covers the following:
What does your data tell you?
Sources of data - the right things to measure, measuring the right thing.
Big data and little data.
Data gaps, use and impact - food related case studies.
Data analysis - How primary data can be collected and analysed.
Introduction to the Data Driven Economy.
Appreciation of the current knowledge economy and the skills needed for information management and data driven decisions.
Concepts underpinning the data driven society to include the Learning Organisation, Business Process Improvement and Re-engineering, Knowledge Management/Business Intelligence.
People, information, technology and processes: the right mix.
Data, Information, Knowledge - technology tools for each, how is your company presented to the world?
Overview of assessment.
Personal Information Management strategies.
Data roles and responsibilities - security and trust.
Guest lecturer - KM-based system (Barry Byrne or Dotty McIlroy).
Introduction to Data Analytics (lab session).
Conducting research in the Food Industry.
Research methods, research process and forming questions.
Apply quantitative and qualitative techniques to the analysis of data (using Excel and/or SPSS).
Digital transformation and disruptive technologies - how do these foster innovations and underpin future decision making in the knowledge economy?
Data analytics for research purposes (lab session).
(1) Presentation (50%)
Participants are required to design and implement a simple data analytics system and visual dashboard employing a range of predictive modelling techniques (such as regression, cluster, sentiment analysis, goal seek and scenario planning). Participants will provide a demonstration of their application for assessment purposes (as part of an Action Learning Set, 15 minutes demo per participants). Participants will be assessed based on techniques selected/rationale of choice and findings of data manipulations.
(2) Report (50%)
Participants will undertake an information audit of their own organisation and design an information management strategy. Participants will submit this strategy (in the form of a technical report) (maximum 2000 words).
The course requires attendance on three consecutive days from 9.30am to 5.30pm on 9, 10, 11 February 2021 plus two learning set days from 9.30am to 1.30pm on 3 March and 14 April 2021.
Any undergraduate degree (second class honours or above).
In addition, applicants must have at least one year's managerial/executive/owner position experience within a Food and Drink company. (Please contact us if you are unsure about the experience entry requirements).
Applicants whose first language is not English must meet the minimum English entrance requirements of the University and will need to provide recent evidence of this (certified within the last two years).
Most of our courses require a minimum English level of IELTS 6.0 or equivalent, with no band score under 5.5. Trinity ISE: Pass at level III also meets this requirement.
Please see details of the English language qualifications and certificates we can accept - https://www.ulster.ac.uk/__data/assets/pdf_file/0005/177404/Other-english-language-tests-and-qualifications-2017.pdf
International applicants will also require a short-term study visa. Further information is available at https://www.ulster.ac.uk/international/visa-immigration
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Each course is approved by the University and meets the expectations of:
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The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.
Postgraduate Master’s courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.
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Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessment. The precise assessment will depend on the module and may be subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
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Calculation of the Final Award
The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6, (which correspond to the second and third year of full-time attendance).
Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Master’s degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.
All other qualifications have an overall grade determined by results in modules from the final level of study. In Master’s degrees of more than 200 credit points the final 120 points usually determine the overall grading.
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Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
Figures correct for academic year 2019-2020.
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