24374 Courses

Diploma in Project and Quality Management - Level 7 is a 120 credits qualification. Project and quality management can be used in a variety of industries to bring projects in on time, on budget and to the right quality. Project management elements of this Diploma in Project and Quality Management - Level 7 course will focus on management techniques and applications to help you plan and implement activities to complete projects to your customers expectations. Quality management elements of the course will help you make sure that the outcome of the project is fit for your customer's purposes. Program Overview: Diploma in Project and Quality Management - Level 7 Key Highlights of Diploma in Project and Quality Management - Level 7 qualification are: Program Duration: 9 Months (Fast Track Mode Available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Masters Degree programme. Alumni Status No Cost EMI Option Key facts about Level 7 Diploma in Project and Quality Management 100% Online: Study online with the UK's leading online course provider. Global programme: Study anytime, anywhere using your laptop, phone or a tablet. Study material: Comprehensive study material and e-library support available at no additional cost. Payment plans: Interest free monthly, quarterly and half yearly payment plans available for all courses. Why choose LSBR ? Transform your career: Enrol today and make a life changing decision, get necessary knowledge to transform your career. Move up in your career: With our fully accredited course, you can move up to the next level in your organisation with ease. Upgrade your skills: Add value to your current educational profile and achieve skill sets to compete in your job role. Cost effective: Typically a British qualification starts from GBP £3000 per annum, but with LSBR, you enjoy savings of up to 60% on your educational investment. Assessments: Assessment is done through written assignments and/ or dissertation project. Support: We offer live tutor support via online chat and email for all qualifications delivered by us. Career ProgressionLearners completing the Diploma in Project and Quality Management - Level 7 can progress to: A University partner to complete a dissertation to then receive a full master's degree, or Level 8 Diploma qualification, or Directly into employment in an associated profession University ExemptionsLearners can progress to a number of universities to complete a Master's Degree after completing their Diploma in Project and Quality Management - Level 7. This generally requires completion of a Dissertation only. The pathways are an indication of a learner's progress towards a university degree and are based on the university's review of Eduqual's learning programmes and outcomes. As our EduQual accredited qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation)and Scottish Credit and Qualifications Framework (SCQF), learners are also eligible to progress to a Top-Up Degree, Master's programme, or MBA at many universities in UK and Overseas with advanced standing. Our qualifications are credit-rated for the Scottish Credit and Qualifications Framework (SCQF), a globally-recognised national qualifications framework aligned to other recognised frameworks such as the European Qualifications Framework (EQF) and the Ofqual Regulated Qualifications Framework (RQF).

Bring along 2 pieces of furniture or boxes etc to restore which reflect your experience level & the skills that you would like to learn

These two weeks of intensive training consolidate and expand upon what you’ve learnt in Part 1 of the Human Givens Diploma Length: 2 x 5 days (9.00am – 6.30pm) Tutors: Dr Gareth Hughes, Jo Baker Suitable for: See below Location: Our Part 2 courses are held in Bristol Qualification: HG.Dip. / HG.Dip.P. (Trainee) I can’t speak highly enough of Part 2. It had all the elements to make it challenging, stretching, stimulating and, above all, thoroughly practicalPSYCHOTHERAPIST Part 2 of the 3-part Human Givens Diploma course consists of ten days of highly-focused and enjoyable work, plus home study and skills practice. The two separate weeks are held approximately a month apart and include the observation of therapy sessions carried out by HG tutors with real patients. The profound teaching style and practical approach is highly stimulating and generates much extra-curricular thought and discussion. During the two weeks you will have plenty of opportunity to expand upon and consolidate the knowledge and skills you have obtained on the shorter courses that make up Part 1 of the Diploma. There are many practical group and one-to-one exercises during which you will learn how to subtly combine what you’ve learnt into powerful therapy sessions that will enable your clients to move on in their lives, and a 2-hour written examination. The psychological knowledge and psychotherapeutic skills gained on the course are also highly relevant and easily transferable to other fields such as parenting, education, business coaching and back-to-work programmes. Course Dates Part 2 courses are held in Bristol. 2024Course No. HG96 Week 1: 29th January – 2nd February 2024 – 4 places available Week 2: 4th – 8th March 2024 Course No. HG97 Week 1: 20th – 24th May 2024 Week 2: 24th – 28th June 2024 Course No. HG98 Week 1: 14th – 18th October 2024 Week 2: 18th – 22nd November 2024 VENUE: Engineers’ House, Clifton Down, Bristol, BS8 3NB Who is this course for? The HG Diploma is primarily designed for anyone already working in mental health, education or social services, but because all aspects of the course are presented in clear, jargon-free language anyone interested in the subjects covered, or wishing to embark on a career in counselling or psychotherapy for the first time, can benefit from attending. Before attending the first Part 2 week, you need to have completed all 16 x Part 1 required courses, have read the required items on the Reading List and studied the Diploma Manual in depth. NB If you started working towards the HG Diploma before January 2019, you may well have completed some of our previous free-choice Part 1 courses, don’t worry these will still count towards your Part 1 – please call the office to discuss. Meet your tutors Dr Gareth Hughes Gareth is an HG psychotherapist, researcher, nationally recognised expert on university mental health and wellbeing and a Principal Fellow of the Higher Education Academy. Read more Jo Baker For many years Jo worked as a therapist within the Psychological Wellbeing department at the University of Derby, where she dealt with an extensive and varied caseload… Read more

CPD accredited Level 3 Cleaning Technology and Control course. Delivered online (Zoom) by a live tutor. Exam and Certificate fee included in the price.

Our students will learn how to rejuvenate the face using Profhilo, Sunekos and Jalupro. Course Structure Online study Virtual lecture Practical on-site training COURSE PREREQUISITES Be a medical professional registered to a medical body (NMC, GMC, GDC, GPhC, etc.) Have Level 3 NVQ in Beauty Therapy Have 6 months of experience in SPMU, Microblading, and Microneedling) and six months of Anatomy & Physiology Level 3 Have 12 months of experience in advanced beauty treatments (e.g. SPMU, Microblading, Microneedling) SKIN BOOSTER TRAINING COURSE STRUCTURE: Product History Extracellular matrix Ageing process Patient consultation & expectations Delivery method- Bolus, Liner, Micro bolus & Bap technique demonstration on a live model Practical training on a live model Complications and how to resolve problems PRACTICAL: Tutor Demonstration of Profhilo Tutor Demonstration of Sunekos / Jalupro Practical session for students to carry out skin treatments SKIN BOOSTER PROFHILO FACE Profhilo is a new anti-ageing treatment which involves injecting hyaluronic acid into the skin. It is ideal for patients whose skin has started losing its natural firmness and elasticity, normally due to the ageing process, but smoking, stress and environmental factors may also be factors. JALUPRO CLASSIC JALUPRO is a sterile absorbable injectable solution which acts as a dermal biorevitaliser and is used for improving skin texture, brightening the skin and minimising evidence of fine lines & wrinkles. It is considered effective and safe: SUNEKOS 200 and 1200 SuneKos 200 is used to treat around the eyes, face, neck, chest and hands and is perfect for earlier signs of ageing. SuneKos 1200 is used in conjunction with SuneKos 200 if your skin needs extra structural support to improve sagging skin or if you have deeper, more advanced wrinkles. Lumi Eyes (New From October 2023) Lumi Eyes is a premium injectable product infused with polynucleotides, renowned for their tissue-regenerating capabilities. It effectively erases dark circles, moisturizes, and combats fine wrinkles, all while lifting and smoothing the skin around the eyes." Seventy Hyal 2000 (New From October 2023) Seventy Hyal 2000 is an innovative injectable hyaluronic acid (HA) skin booster designed to enhance skin hydration significantly. This bio-stimulating product goes beyond mere hydration, actively promoting the synthesis of fresh collagen and elastin fibers, resulting in improved skin texture and elasticity.

5 day live online class Total duration: 15 hours Classes run once a month from 18:30-21:30 GMT (13:30-14:30 EST) over a 5 day period

The objective of the Diploma in Business Studies - Level 3 qualification (Accredited by OTHM) is to provide learners with an in depth understanding of the operations and structure of businesses. Successful completion of this qualification will equip learners with the underpinning knowledge and skills required to succeed in employment or further studies. Program Overview of Diploma in Business Studies Key Highlights Program Duration: 6 Months (Can be fast tracked) Program Credits: 60 Designed for working Professionals Course Delivery: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn Understanding of operations and structure of businesses. Underpinning knowledge and skills required to succeed in employment or further studies. Who is this course for? Working Professionals, O-Level holders, Sales & Marketing Professionals

The objective of the OTHM Level 3 Certificate in Business Studies qualification is to provide learners with an in depth understanding of the operations and structure of businesses. Successful completion of this qualification will equip learners with some of the underpinning knowledge and skills required to succeed in employment or further studies. Program Overview Key Highlights Program Duration: 3 Months Program Credits: 30 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Direct entry into Year 1 of a three-year UK Bachelor's degree LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn Understanding of operations and structure of businesses. Underpinning knowledge and skills required to succeed in employment or further studies. Who is this course for? Working Professionals, O-Level holders, Sales & Marketing Professionals

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills qualification develops and rewards learners looking to or already have chosen a career in a business-related sector. It is envisaged that this programme will encourage academic and professional development so that learners move forward to realise their potential and that of organisations across a broad range of sectors. The learners will gain transferable skills and knowledge that will enable individuals to meet business changes. Key Benefits To understand the business environment and business resources. Know how to present business information effectively and to develop English language communication competencies for University Studies. Understand health and safety legislation and regulations affecting a business working environment and workplace welfare. To support learners to develop confidence and skills to communicate academically while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. Understand how successful leaders bring about effective change, impact of organisational culture and thinking entrepreneurially. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can open many career pathways including, but not limited to: Operations Manager with an estimated average salary of £28,000 per annum Office Manager with an estimated average salary of £30,000 per annum Financial Planner with an estimated average salary of £22,000 per annum Program Manager with an estimated average salary of £25,000 per annum Junior Manager with an estimated average salary of £22,000 per annum Business Analyst with an estimated average salary of £30,000 per annum Fleet Manager, with an estimated average salary of £25,000 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Entry Requirements The qualification has been designed to be accessible without artificial barriers restricting access and progression. Entry to the qualification will be through a centre interview, and learners will be expected to hold the following: Qualifications at Level 2 or. Work experience in a business environment and demonstrate ambition with clear career goals. Level 3 qualification in another discipline and want to develop their careers in management. Progression Learners completing the QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can progress to: a QUALIFI Level 4 qualification, or directly into employment in an associated profession or An undergraduate degree. Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- An Introduction to the Business Environment Reference No : A/615/5045 Credit : 10 || TQT : 100 This unit will explain different types of businesses and their ownership in an economy. Learners will understand the owner and stakeholders' role in fulfilling the business's purpose. The unit will help learners to understand how companies are organised to achieve their targets. This unit will also help to know how the economic, political, legal and social environment can impact businesses, giving the learner an understanding of the range of companies. UNIT2- Business Resources Reference No : F/615/5046 Credit : 10 || TQT : 100 The unit will explain how a range of human, physical, technological and financial resources are used and managed within a business. This unit will help the learner understand how human resources are managed and the employability and personal skills required of personnel in an organisation. Learners will understand the purpose of managing resources effectively, not only concerning human resources but also in terms of physical and technological resources. Learners will also understand how an organisation can gain access to sources of finance, both internally and externally and be able to interpret financial statements. UNIT3- An Introduction to Marketing Reference No : J/615/5047 Credit : 10 || TQT : 100 Learners will gain a basic understanding of the role of the marketing function, with particular emphasis on the role of marketing research and how it contributes to marketing planning and the development of a marketing mix for a target group of customers. Learners can develop, analyse and evaluate key marketing techniques to understand them better. UNIT4- Human Resource Management Reference No : L/615/5048 Credit : 10 || TQT : 100 The unit provides an overview of some key areas that fall within the remit of the human resources function. The learners will also learn how organisations gain employee motivation and employee commitment. Finally, learners will know about how employee performance is measured and managed and the benefits of doing so. This knowledge will help learners understand the working environment and the nature of Human Resource Management when seeking or engaging in employment. UNIT5- Business Communication Reference No : R/615/5049 Credit : 10 || TQT : 100 Effective communication is a key area in terms of its contribution to business success. When studying this unit, learners will thoroughly understand the types of business information used internally and externally by organisations and the methods used to communicate information to different audiences. In this unit, learners will be able to develop, analyse and evaluate various techniques used to display multiple types of business information. They will understand the purpose of such communication. They will also produce and consider different types of business communication of their own. UNIT6- Understanding Health and Safety in the Business Workplace Reference No : J/615/5050 Credit : 10 || TQT : 100 This unit will help to prepare learners for the world of work, where health and safety are a vital part of the modern workplace, whatever sector is chosen. There is a level of myth surrounding Health and safety requirements. This unit will help dispel these and promote good health and safety practices as a productive working environment. Learners will understand health and safety legislation, regulations and requirements that form the basis of all workplaces in the UK. UNIT7- Managing Business Operations Reference No : A/617/5537 Credit : 10 || TQT : 100 This unit aims to familiarise learners with the essential aspects of businesses and their operations in both external and internal business environments. The unit emphasises that operational control and sound policies and best practices lead to organisational excellence. UNIT8- An Introduction to Finance Reference No : F/617/5538 Credit : 10 || TQT : 100 This unit introduces learners to practical accounting and financial reporting techniques managers in business organisations use. Learners will gain an understanding of the budgetary control process. UNIT9- English for University Studies Reference No : T/618/7010 Credit : 10 || TQT : 100 This unit aims to develop the language competencies required of an undergraduate-level student. The content is organised around three core skills: listening, reading and writing, using authentic academic and language learning materials. Alongside these skills, learners will have opportunities to develop and expand their range and accuracy of functional, lexical and grammatical structures. The listening component aims to develop comprehension strategies required when attending lectures as well as practice in note-taking. The reading component introduces students to various academic texts, reading purposes and methods. The writing aims to introduce learners to literary conventions and different academic writing text types. Research classes will further expand on students reading and writing skills in their specific subject area. Finally, learners must work on collaborative and independent tasks throughout the course. There will be a strong emphasis on taking responsibility for autonomous learning. UNIT10- Communication and Cultural Skills for University Reference No : A/618/7011 Credit : 10 || TQT : 100 This unit aims to support learners to develop confidence and skills to communicate in an academic environment while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. The communication component aims to improve speaking skills through oral summaries and presentations. Focus also aims to develop critical thinking skills through discussions and debates. The academic culture component focuses on content reflecting important aspects of university life for first-year undergraduates (e.g. email etiquette, finding information, university system) and effective study strategies (e.g. time management, dealing with stress, traits of successful learners). The cultural component enables learners to understand other and local cultures better. When studying abroad, the focus will be on learning about Irish culture, society, and student life. UNIT11- An Introduction to Leadership Skills Reference No : A/617/5540 Credit : 10 || TQT : 100 This unit aims to provide the learner with an introduction to leadership skills, how they can be identified and developed, and to show the importance of motivating others. UNIT12- Organisational Culture Reference No : F/617/5541 Credit : 10 || TQT : 100 To understand aspects of an organisation's culture, its effects on its activities and management, and the significance of an ethical business approach. UNIT13- Workplace Welfare Reference No : J/617/5542 Credit : 10 || TQT : 100 To understand that workforce welfare ensures that everybody employed within the organisation is valued. To comprehend health and safety responsibilities and benefits gained from being part of the organisation. UNIT14- Thinking Entrepreneurially Reference No : R/615/4774 Credit : 10 || TQT : 100 This unit aims to introduce the learner to an evaluation of themselves in an entrepreneurial context by using several techniques, including SWOT. This unit will introduce learners to critical thinking skills and put these into context against a business plan. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.