University First and Second Year - Diploma in Business Management (Level 4&5) - Pathway to BA (Hons) Business Management Level 4 Diploma in Business Management - 8 -12 months - 120 Credits Level 5 Diploma in Business Management - 8 - 12 months - 120 Credits Level 4 is the equivalent of the first year of a Bachelor’s Degree programme. it provides students with 120 university credits upon completion. Level 5 is the equivalent to the second year of a Bachelor’s Degree programme, it provides students with 120 university credits upon completion. It is also equivalent to an HND diploma. Course Details Each module consists of 40 guided learning hours of material with an additional 30-50 hours worth of optional materials which comprise of recommended exercises, recommended readings and internet resources. Within the modules are self-testing exercises. You must take care in answering these. Although they are not marked nor do they count towards your final assessment, the marking is tested against your scoring on the final assessment to check for consistency of score. The modules are written against prescribed learning outcomes defined by the Qualifications and Credit Framework (QCF) administered by Ofqual, the Government appointed regulator. In addition, the learning outcomes are articulated against MSBM Awarding Bodies curriculum who is a recognised awarding body monitored and assessed by QAA, the Quality Assurance Agency, the Government appointed quality assurance body. Successful completion of the full Level 4/5 Extended Diploma in Business Management and final year of an accredited Undergraduate Degree programme, will give students the right credentials to go on and apply for a job in marketing, accounting, human resources, management or business consultancy. 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 Bachelors 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 120 credits which consist of either a dissertation or a dissertation and one module. Examples of University Progression BA (Hons) in Business Management (top-up) awarded by the University of Chichester delivered through London Graduate School. Anglia Ruskin University - BA (Hons) Management (Top-Up). Entry Requirements For entry into Level 4 or 5 Diploma in Business Management, learners must possess the following: * Relevant/Local Board of Examination Result in your Country, which must include at least 5 'C' Grades in English and 4 other subjects. * Mock Examination Result can also be accepted for initial Conditional Admission, pending the release of the Board of Examination Result. (This is assessed on a case by case basis) * Learner must be 18 years or older at the start of the Course. OR * Mature Learners (21 years or older) with work experience in supervisory, leadership or management roles. (This is assessed on a case by case basis). Workshops Workshops are conducted by live webinars for online students. Classroom workshops are available if there is a local branch in your country. Speak our course advisors on this subject. Visa Requirements There is no Visa requirement for this programme.
This course covers import documentation and procedures, commercial considerations, the importance of your purchase order, calculating VAT and duty, and how to reduce import customs clearance delays.
It's no secret the world has been changing before our eyes !In order to confront the rapidly-evolving world around us, businesses need highly trained, adaptable and creative individuals to keep pace and stay innovative. BA (Hons) Business Management - 18 months course is designed to train you for the jobs of the future; you'll be taught the fundamentals of business management in the wider context of the contemporary business landscape, ensuring your skills will remain flexible and adaptable as the world changes. This BA (Hons.) Business Management - 18 Months programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context. The course combines practical professional experience with creative approaches to enterprise and innovation that will develop your entrepreneurial spirit. Program Overview: BA (Hons) Business Management - 18 MonthsKey Highlights of BA (Hons) Business Management - 18 Months degree programme are: Program Duration: 18 Months (24 Months Option also available) Program Credits: 240 Designed for working Professionals 100% Online Global programme: Study anywhere, anytime on your laptop, phone or tablet. Study material: Comprehensive study materials and e-library support. No Written Exam. The Assessment is done via Submission of Assignment Online Lectures Timely Doubt Resolution Dedicated Student Success Manager Regular Networking Events with Industry Professionals LSBR Alumni Status Payment Plan: No Cost EMI Option
This Level 3 Apprenticeship has been designed for individuals wishing to start or advance their skills in first-line management, and will equip them with the knowledge and understanding needed to effectively provide direction, instructions and guidance to ensure the achievement of set goals.
Overview Financial Management, Budget Control and Budget Execution is a blended course with core activity of financial management used to make organisations effective and efficient in-service delivery. Organisations deliberately strengthen their acts of budgeting, as part of their financial management, in order to enhance their effectiveness. This course has been designed to educate participants on how to prepare and use budgets in their organisations. It provides the essential ingredients for achieving a sound budget preparation and execution system.
Overview This course provides participants with the chance to focus on relevant project management tools and skills required to run successful projects in research and beyond. The course has been designed to help researchers and project managers enhance their project management skills in the context of their research and develop their knowledge of broader project management principles. The training course is highly participative and includes a peer learning session where participants will get the chance to tackle specific issues and challenges related to their research projects, find innovative solutions and share best practices.
Overview TQM is a completely structured, comprehensive, and organization-wide approach taken towards organisational structuring and management that continuously seeks to improve the quality rendered by the products, services belted out by the organization and the productivity of the resources handling the product. The aim is to continuously induce quality at each and every step of the organisational workflow in a bid to refine and fine- tune the processes and receive continuous feedback as per customers' norms to refine still further.
Overview Extending business activities beyond organisational boundaries to create value for the organisation is not new. However, the quantity and complexity of the relationships that now exist beyond organisational boundaries are increasing, as is regulatory and stakeholder scrutiny. While partnerships with third parties, including critical suppliers, can be beneficial to the organisation on so many levels, such alliances can expose the organisation to many unknowns, and those unknowns will undoubtedly increase the level of risk. The key, then, is properly managing the infrastructure, systems, staff and outside support to adequately manage that risk.
Feedback Mastery Unleashed: 28 day online mini-programme to ignite high performance leadership for high achieving teams
Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)