Launch your Detailing Career on all vehicle types Level One + Motorbike is ideal for those just starting a detailing career, about to enter the detailing industry, or those who wish to reset, update, and refresh their skills, with the addition of a day spent exclusively on motorcycle detailing. The aim is to familiarise the candidate with the processes and maintenance of vehicles from a professional and business view, teaching the foundations of correct vehicle cleaning up to the final familiarisation of entry-level dual-action machine polishers. Business practices and health and safety are explored covering areas such as pricing, marketing, SDS and environmental conformity. This Level 1 Course comes bundled with our One-Day Motorbike extension course at a discounted rate to the bolt-on in isolation, perfect to give you all the knowledge you need to complete a full detail on a motorcycle, including use of paddock stands, fairing removal, mechanical areas, and much more. Alternatively, Level 1 candidates can later book the Learn2 Motorcycle Detailing 1 Day course as a bolt-on, to complete at another suitable time. The aim of Level One is ideal for those just about to, or have recently entered the detailing industry, or those who wish to reset and refresh their skills, with the addition of a day spent exclusively on motorcycle detailing. The aim is to familiarise the candidate with the processes and maintenance of vehicles from a professional and business view, teaching the foundations of correct vehicle cleaning up to the final familiarisation of entry-level dual action machine polishers over the course of 3 days of intense training. Business practices and health and safety are explored covering areas such as pricing, marketing, SDS and environmental conformity. This Level 1 Course comes bundled with our one-day motorbike extension course, perfect to give you all the knowledge you need to complete a full detail on a motorcycle, including the use of paddock stands, fairing removal, mechanical areas, and much more. alternatively, candidates can book the Learn2 Motorcycle Detailing 1 Day course as a bolt-on to an automotive Level 1 Course to complete at another suitable time. Along the way, in addition to the motorcycle training, topics covered will be: Washing stages Wash media Environmental considerations Drying methods Bonded contamination and its removal Wheel care and maintenance Glass and hard surfaces Engine bay cleaning Vulnerable surfaces Efficiency and process PPE and safety Clothing and working practices Risk assessment Chemical knowledge Van set-ups Interior detailing Leather and soft surface care Fillers/glazing Dual action machine polishers intro Minor defect identification Paint types LSPs Final presentation Marketing Conflict resolution and customer care Financing Insurance Pricing and quotes Business Administration Memberships Social Media Manual handling Safe working practices Pre-work inspection All levels are accompanied by a full course booklet to jog your memory when needed. Practical assessment takes place as part of the original training session, at the end of the course you will be assigned a (manageable) series of case studies and exercises to complete over the period of 3 months to cement the knowledge. There is then a short externally assessed exam prior to the optional commencement of Level Two, to ensure there are no weak areas. After which the Level One accreditation is awarded and you can either progress or choose to practice the skills gained with ongoing support. Course Length 3 Days (0930 - 1600) Group Size One-to-One Location UK Detailing Academy, 2 Purlieus Barn, Ewen, Cirencester, GL7 6BY Experience / Qualification Open to all Refreshments or Lunch Refreshments included
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About this Training Course The prospect maturation process, from a lead to a drillable prospect, is at the heart of the exploration business. This 5 full day course will cover all aspects of the prospect maturation process: play understanding in the context of regional geological understanding, detailed prospect evaluation; realistic risk & volume assessment consistent with the play understanding and prospect details, and an introduction to exploration economics. Throughout the course, there is a strong focus on pragmatic (geo)logical approach for assessing those aspects that are input parameters for a meaningful assessment of prospect risks and volumes, with emphasis on a balanced integration of contributions from different sub-surface disciplines. Many examples from basins from around the world are used to illustrate how traps, reservoirs, seals and charge occur in different basin settings. Specifics topics that will be discussed include the following: The statistical fundamentals for risk and volume assessment will be presented, with practical exercises for understanding the results of a risk & volume assessment as they are displayed in expectation curves. The difference between risk and uncertainty. A full discussion of the essential requirements for a working petroleum system: Trap, reservoir, seal and charge. Examples of how traps, reservoirs, seals and charge work in different basin types around the globe and in Australian basins. Exercises and guidelines for estimating uncertainties for prospect parameters, including advice for deciding which distribution type to use, and how to constrain those distributions for meaningful uncertainty ranges (setting minimum most likely and maximum values). Particular emphasis will be given to estimating hydrocarbon column lengths with their associated uncertainties in undrilled prospects. Prospects and plays: The value of play maps and how these should be used for assessment of prospect risks and for ranking of prospects within a play. Calculating volume ranges for prospects. Calculating volumes for groups of prospects; how to add risked prospect volumes for a statistically correct representation of the volume promise of a portfolio of prospects. Geophysical evidence: Incorporating geophysical evidence (DHIs) consistently and realistically in a risk assessment. An understandable and geology-based workflow, consistent with Bayes theorem, will be presented. Exploration economics. Training Objectives What this course will cover in 5 days: This course describes the various aspects that need to be considered in the prospect maturation process, including: Play development in the context of a sound understanding of the regional geology Detailed prospect evaluation and understanding of the critical aspects of traps, reservoirs, seals and charge Examples from plays and prospects in different basin settings from around the globe Realistic and pragmatic risk and volume assessment, based on the geological understanding of plays and prospects An introduction to exploration economics Examples of plays, oil and gas fields and prospects from basins from around the world, including the Far East, will be given. Target Audience This course is designed primarily for Geoscientists in exploration who would like to improve their expertise of the prospect maturation process and risk and volume assessment. The course has proven to be of value for explorers in the early phase of their career, seasoned explorers and team leaders. It will also benefit staff from disciplines working closely with exploration staff including Prospect Portfolio Analysts, Petrophysicists, Geophysicists and Reservoir Engineers. Course Level Intermediate Training Methods At the end of the course, the participants will have a good understanding of the essentials for realistic risk and volume assessments of exploration prospects. The course should allow participants to produce well-considered and realistic assessments for prospects they may be working on, and to understand and constructively challenge risk and volume assessments of colleagues and/ or partners/ competitors. Each topic is introduced by a lecture, and learning is re-inforced by practical exercises and discussions. Hand-out materials in paper and/or electronic format will be provided. Time will be made available to discuss aspects of prospects that may be brought in by course participants. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, AÃnsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
Lean Six Sigma Green Belt Certification Program: On-Demand This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps
Lean Six Sigma Green Belt Certification Program - Become Green Belt Certified: On-Demand This course explores the DMAIC process in depth and enables you to achieve IIL's Lean Six Sigma Green Belt Certification. DMAIC is the foundation of Lean Six Sigma and process improvement. The incremental steps of "Define, Measure, Analyze, Improve, Control" give structure and guidance to improving quality, performance, and productivity. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. What You Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis tests? Hypothesis tests Correlation and regression analysis Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Result What is a pilot? Evaluating results Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure
Level 7 Diploma In Strategic Marketing Pathway To MSc In Strategic Marketing Level 7 Diploma in Strategic Marketing (QCF) – 6 - 8 Months Credits: 120 Credits Level 7 Diploma in Strategic Marketing qualification provides the learners with the skills and understanding in marketing & branding that align with good strategic decision making to maintain organisations’ competitive advantage. Successful completion of this qualification will develop learners’ strategic marketing management, consumer behaviour and branding skills and their ability to focus on the requirements of implementing an organisation’s strategy. This programme is a Pathway to MSc in Strategic Marketing. Course Details The Level 7 Diploma in Strategic Marketing qualification enables learners to progress into or within employment and/or to work toward a relevant Master’s programme with advanced standing.The Level 7 Diploma in Strategic Marketing qualification consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600Guided Learning Hours (GLH) for the completed qualification.Modules (120 Credits): Contemporary Issues and Principles of Marketing Consumer Behaviour and Market Communications Digital and Social Media Marketing Contemporary Challenges and Strategic Marketing Strategic Brand Management Marketing Research Project Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Strategic Marketing leading to the MSc in Strategic Marketing qualification, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.
Level 7 Diploma In Logistics And Supply Chain Management Pathway To MSc In Logistics And Supply Chain Management Level 7 Diploma in Logistics and Supply Chain Management (QCF) – 6 - 8 Months Credits: 120 Credits The objective of the Level 7 Diploma in Logistics and Supply Chain Management qualification is to broaden learners’ understanding of logistics and supply chain management and is designed for those who wish to prepare for a first professional role and future career in the field. It is also suitable for logistics and supply chain professionals in the early stages of their career looking to enhance their knowledge and skills and move to the next level professionally.This programme is a Pathway programme to MSc in Logistics and Supply Chain Management. Course Details Successful completion of this qualification will equip learners with the specialist knowledge and skills needed to further their career as a logistics and supply chain professional as well as the opportunity to embark on further study towards a relevant Master’s programme with advanced standing.The Level 7 Diploma in Logistics and Supply Chain Management consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification.Modules (120 Credits): Logistics Management Supply Chain Planning, Modelling and Analytics Procurement and Supply Management Supply Chain and Operations Strategy Sustainable Operations Management Business Research Methods Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Logistics and Supply Chain Management leading to the MSc Logistics and Supply Chain Management qualification, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.
Level 7 Diploma In Tourism And Hospitality Management Pathway To MA In Tourism And Hospitality Management Level 7 Diploma in Tourism and Hospitality Management (QCF) – 6 - 8 Months Credits: 120 Credits Level 7 Diploma in Tourism and Hospitality Management enables the learner to polish their planning, organizing and management skills for the challenges of the hospitality industry by learning practical approaches to effectively navigate resources for the best service delivery. The qualification provides learners with a contemporary, critical, and international programme that supports their development as managers with a lifelong-learning orientation. The qualification enables learners to analyse complex management problems and to apply and adapt specialist skills and technical terminology to propose solutions to these problems informed by best practice and contemporary research. This programme is a Pathway to MA in Tourism and Hospitality Management. Course Details Successful completion of this qualification will enable learners to progress into or within employment and/or continue their study towards a relevant Master’s programme with advanced standing.The Level 7 Diploma in Tourism and Hospitality Management consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification.Modules (120 Credits): Strategic Management and Marketing Destination Management International Tourism Policy and Development E-Tourism and Social Media Organisational Behaviour in International Contexts Advanced Research Methods Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Tourism and Hospitality Management leading to the MA in Tourism and Hospitality Management, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for all students. Visa Requirements There is no Visa requirement for this programme.