The CBIT Advanced Award in Data Science (Level 7) with Integrated Real-world Experience is an accelerated, high-impact course designed to provide the skills required to address immediate data challenges in today’s fast-paced, data-driven industries.
Combining theoretical rigour with real-world relevance, this course is ideal for professionals seeking to upskill, transition into data-centric roles, or lead data initiatives with confidence.
You master advanced techniques in areas like deep learning, cloud computing, or applied statistics, empowering you to deliver actionable insights and drive innovation swiftly.
The CBIT Advanced Award in Data Science is BCS-accredited, meeting the high professional standards of BCS – The Chartered Institute for IT, and has received the prestigious BCS Tech10 Accreditation. As a BCS-recognised learner, you gain access to a range of professional advantages:
The CBIT Advanced Award in Data Science (Level 7) generally takes three to four months, making it an excellent choice for anyone wishing to enhance their credentials and open new doors.
You select two modules from a wide range of modules, tailoring your studies to align with career goals in domains such as AI-driven analytics, scalable data infrastructure, or predictive modelling.
A key feature of the CBIT Advanced Suite in Data Science (Level 7) is the Integrated Real-World Experience, designed to bridge academic learning with professional application. You gain hands-on experience through structured data projects that mirror real industry practices.
The integrated real-world component ensures that students graduate not only with academic knowledge but also with practical skills that are essential for career success in today’s data-driven industries.
Designed for mid-career professionals seeking rapid upskilling to lead data-driven projects, IT/analytics specialists transitioning into advanced data science roles, researchers requiring advanced analytical tools for large-scale datasets, and business leaders aiming to harness AI, machine learning, or cloud computing for strategic decision-making.
Course fees cover all costs.
High-quality learning resources and study guides developed by subject-matter expert tutors approved by CBIT.
3 - 4 months
You will receive comprehensive formative assessment feedback from your tutor before your final submission, which will help you understand flaws, increase your knowledge, and elevate your grade.
Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement.
Curriculum designed and developed by tutors with extensive industry experience in the in the Information Technology discipline.
All assessment materials are readily available on the user-friendly online learning platform, 'MyLearnDirect', ensuring you have everything you need at your fingertips.
Completing a BCS Tech10 Accredited programme at CBIT entitles learners to a 20% discount on BCS membership, which provides access to a supportive community of industry experts and opportunities to progress towards full Chartered IT status.
At CBIT, completing a BCS Tech10 Accredited programme provides learners with access to a dedicated online area of MyBCS, where they can use CPD tools, develop their Personal Development Plan (PDP), and explore taster courses on the latest digital tools.
Study from anywhere at your own pace, 100% online.
6 months
Online and Blended
You'll receive unlimited support from our expert tutors, ensuring you have all the help you need to succeed.
You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance.
If you choose blended learning, you can schedule live online classes for each module at your convenience.
Learners receive a certificate and a record of module attainment from CBIT upon successful completion, recognising their achievements and skills development.
Upon successful completion of this BCS Tech10 Accredited programme, learners will receive a BCS digital badge to showcase on their CV and LinkedIn, proving participation and enhancing global employability.
The CBIT Advanced Award in Data Science, accredited by BCS - The Chartered Institute for IT, ensures that the programme meets rigorous industry standards for quality and relevance.
The programme is designed to prepare students for professional roles by providing practical, hands-on learning experiences. This experience allows students to apply their academic knowledge to real-world scenarios by working on structured data projects that reflect actual industry practices.
Designed for mid-career professionals seeking rapid upskilling to lead data-driven projects, IT/analytics specialists transitioning into advanced data science roles, researchers requiring advanced analytical tools for large-scale datasets, and business leaders aiming to harness AI, machine learning, or cloud computing for strategic decision-making.
Study from anywhere at your own pace, 100% online.
3 - 4 months
Course fees cover all costs.
You'll receive unlimited support from our expert tutors, ensuring you have all the help you need to succeed.
Online and Blended
You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance.
You will receive comprehensive formative assessment feedback from your tutor before your final submission, which will help you understand flaws, increase your knowledge, and elevate your grade.
The CBIT Advanced Award in Data Science equips you with advanced skills in deep learning, time series analysis, cloud computing, data mining, applied statistics, and data visualization. It is tailored for professionals needing targeted, high-level expertise without the commitment of a longer course. By focusing on two advanced modules, you gain immediate proficiency in areas like neural networks, statistical modelling, or cloud-based analytics, making them indispensable in roles demanding rapid innovation.
The CBIT Advanced Award in Data Science (Level 7) with Integrated Real-world Experience is designed for senior data professionals looking to strengthen their strategic data science expertise through hands-on, industry-relevant project work.
The Centre for Business and Information Technology (CBIT) is dedicated to creating high-quality programmes and providing exceptional learning experiences that enhance the skills and knowledge of business and IT professionals. CBIT inspires and improves performance through innovative business and IT programmes, enabling professionals to reach their full potential.
CBIT's business programmes have received prestigious recognition from the Chartered Management Institute (CMI), signifying our commitment to excellence. These programmes align with the CMI Quality Benchmark and adhere to the high professional standards set by the CMI. Additionally, CBIT has earned BCS Tech10 Accreditation from BCS - The Chartered Institute for IT for select IT programmes, establishing a benchmark for quality in the technology field. This accreditation demonstrates that CBIT programmes meet rigorous standards.
If you're interested in exploring other courses within the CBIT Advanced Award in Data Science suite, please find them listed below. Selecting a course that aligns with your career goals and aspirations can help you achieve your desired progression
The integrated real-world experience is a stand out feature of this programme, offering an immersive, hands-on experience in a virtual company setting. This real-world project is designed to expose students to real-world challenges and opportunities in the data science field, allowing them to apply their theoretical knowledge in a professional context. You will engage in:
The projects are carefully designed to immerse students in real-world data science challenges. Each project aims to develop your technical expertise, analytical thinking, and teamwork abilities in a professional data science environment.
Examples of projects include:
This project focuses on analysing and predicting air quality trends using real-world data. Learners will use advanced tools such as Python, Pandas, BeautifulSoup, Matplotlib, and Seaborn to clean, process, and visualise air quality data. The project also involves creating predictive models using the Air Quality Data.
This project involves analysing groundwater quality, utilising Python, Jupyter Notebook, Pandas, Matplotlib, Seaborn, and GeoPandas to conduct geospatial analysis, data cleaning, and visualisation. Learners will work with the Groundwater Quality Dataset.
This project immerses learners in exploring historical power‐production data to uncover generation patterns and build forecasting models. Learners will clean and preprocess time‐series datasets, engineer features, and deploy predictive dashboards.
Learners analyse publicly available health‐system datasets to assess facility distribution, patient loads, and regional disparities. The project emphasises scalable data processing using Spark and creating interactive visualisations.
In this multifaceted case study, learners investigate a selected country’s pandemic trajectory through comprehensive data wrangling, merging multiple sources, and demographic analyses.
This project introduces learners to quantitative finance by designing, back-testing, and evaluating algorithmic trading strategies using historical market data.
During the projects, you will follow a structured learning path that reflects the workflow of a professional data science team. Key phases include:
Throughout the project, you will have the opportunity to take on various roles within the data science project team, including:
The programme evaluation process is designed to ensure that learners acquire the practical and theoretical knowledge necessary for success in their professional careers. By integrating the live projects evaluation with theoretical components, we provide a holistic approach to learning and development that emphasises both real-world application and academic rigor.
The Project Evaluation is guided by the International Point System, a comprehensive framework that standardises learner performance assessment during live projects. This system not only motivates students to excel but also ensures they are well-prepared for future professional challenges by promoting the completion of key tasks and objectives. The following components are essential for students to qualify for placement and are evaluated rigorously:
In addition to the practical aspects covered in the projects, learners will complete a series of theoretical assessments that align with their learning modules. Each module requires learners to submit a written assignment, report, or mini-project through the MyLearnDirect learning portal. These submissions are carefully assessed by their tutor.
The course is designed for experienced data professionals who are keen to advance their knowledge in the field.
There are no formal entry requirements to enrol in the CBIT Advanced Award in Data Science. However, CBIT expects you to meet the following criteria:
Our friendly admissions advisors will provide the best advice, considering your needs and goals.
For each module you study, you will complete a written assignment of 2,000–2,500 words and submit it online via your MyLearnDirect learning portal. Your submitted assignments will be assessed by a dedicated tutor who will provide feedback to support your progress.
On successfully completing the CBIT Advanced Award in Data Science you may pursue various career paths, including but not limited to:
You may choose any 2 modules, with a maximum of 160 hours of Total Programme Time (TPT)
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.
Reference No : CBIT- ADS -701
Credit : N/A || TQT : Maximum of 160 hours
The module aims to provide learners with a solid theoretical foundation in the core concepts and methodologies of data science. Learners will gain insights into data collection, processing, analysis, and interpretation, using modern data science tools and techniques. The module will focus on understanding large-scale data processing methods, statistical analysis, machine learning, and data visualisation, while introducing learners to real-world applications of these principles.
Reference No : CBIT- ADS -702
Credit : N/A || TQT : Maximum of 160 hours
This module aims to introduce learners to the theoretical foundations and key concepts of deep learning and artificial neural networks. It will cover the structure, functioning, and learning mechanisms of neural networks, as well as their application in solving complex data science problems. Learners will gain an understanding of the theoretical aspects of deep learning models, including optimisation techniques and regularisation methods, focusing on practical examples to illustrate how these models are applied in various domains.
Reference No : CBIT- ADS -703
Credit : N/A || TQT : Maximum of 160 hours
This module aims to equip learners with advanced knowledge of data analytics and visualisation techniques. The focus is on understanding how data is transformed into insights that drive decision-making across industries. Learners will explore a range of data analysis methods, gain knowledge on data cleaning and preparation, and critically evaluate various visualisation tools. By the end of the module, learners will be able to communicate data findings effectively using theoretically grounded approaches.
Reference No : CBIT- ADS -704
Credit : N/A || TQT : Maximum of 160 hours
This module aims is to provide learners with an in-depth understanding of database systems, focusing on the theoretical concepts behind relational databases and data management. The module explores the principles of database design, data modelling, data security, and database administration, preparing learners to apply these concepts in real-world data management scenarios.
Reference No : CBIT- ADS -705
Credit : N/A || TQT : Maximum of 160 hours
The aim of this module is to provide learners with a deep understanding of cloud computing’s core concepts, including infrastructure, security, and scalability. Learners will develop theoretical knowledge of cloud architecture, virtualisation technologies, and cloud-based application deployment, gaining insights into the strategic role cloud computing plays in modern data science.
Reference No : CBIT- ADS -706
Credit : N/A || TQT : Maximum of 160 hours
To provide learners with a deep theoretical understanding of key statistical concepts and methods applied in data science. This module covers probability, statistical modelling, and inferential statistics, equipping learners to critically analyse and interpret data. The focus is on translating complex real-world issues into statistical frameworks and understanding the theoretical underpinnings of statistical methodologies in data science.
Reference No : CBIT- ADS -707
Credit : N/A || TQT : Maximum of 160 hours
This module provides learners with an in-depth understanding of theoretical frameworks and statistical techniques for analysing time series data. Emphasis is placed on identifying trends and seasonality, exploring stationarity and autocorrelation properties, and understanding probability models and spectral analysis methods. The module equips learners to critically evaluate time series models and interpret multivariate time series data within the context of data analytics.
Reference No : CBIT- ADS -708
Credit : N/A || TQT : Maximum of 160 hours
This module provides learners with a comprehensive theoretical understanding of data mining techniques and their application in transforming raw data into actionable insights. It emphasises conceptual and algorithmic approaches to handling complex, unstructured, and semi-structured data, fostering a critical understanding of feature extraction, pattern recognition, and knowledge discovery in diverse domains.
Learners need to complete any combination of units to a minimum of 15 credits. The minimum Total Qualification Time is 150 hours, including 50 Guided Learning Hours
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.
Reference No : Unit 2001V1
Credit : 6 || TQT : 60
Personal development as a team leader unit is all about the event of talents,responsibilities and knowledge of the team leader for team welfare. Inorder to understand the team leader’s responsibilities in reference to discrimination, harassment, and diversity.Learners will be also able to implement and review the development plan to meet work objectives.
Reference No : Unit 2003V1
Credit : 5 || TQT : 50
This unit helps the learner the understand the aspects of understanding and monitoring team performance using smart technique.
Reference No : Unit 2007V1
Credit : 5 || TQT : 50
The unit describes about the teams internal and external customers. Learners will be able to identifying the customer, providing the extent of service, and resolving customer issues.
Reference No : Unit 2002V1
Credit : 5 || TQT : 50
Communicating with a team unit is about organising and leading a team briefing to communicate within the team. Learners can understand the structure of team briefing, it also describes methods of involving team members within the team briefing and evaluate the result of the team briefing against its objectives.
Reference No : Unit 2004V1
Credit : 6 || TQT : 60
Controlling resources unit is about identifying, sourcing, managing, and maximising resources to realise team objectives. Discuss the consequences of resource wastage,explains methods of identifying resource wastage and actions to be taken to scale back resource wastage whilst meeting team objectives.
Reference No : Unit 2005V1
Credit : 5 || TQT : 50
"Building work relationships unit is about understanding the way to communicate and develop work relationships with the manager, team, and people outside the team. Learners can understand the need to maintain confidentiality while communicating with individuals within the team. "
Reference No : Unit 2006V1
Credit : 6 || TQT : 60
Developing team needs unit is about inducting a team member, identifying, planning,and implementing team training.This unit trains a team member to hold out a task, ensuring that training provided meets legal and organisational requirements.
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.
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.
As part of the program, you will get access to CMI Management Direct, which provides a rich foundation of management and resource for students. The Management Direct is packed with content, including:
We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue a smart learning approach where the traditional regular classroom-based learning is replaced by web-based learning and the support level is incredibly high. Learners enrolled at SBTL are allocated a dedicated tutor whether it is online or blended learning, who provide learners with comprehensive guidance and support from start to finish of the course.
The significant difference between blended and online learning 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 most of the time. In addition to the Online Live Sessions, students will also receive all the standard benefits offered to Online Learning students.
SBTL strategically and conveniently employ Blended Learning, where web-based learning using hybrid-teaching technology coupled with a block delivery of live workshops (classes) replaces the traditional regular classroom-based learning. The live sessions are provided online using Apps like GoToMeeting, Zoom or Skype. In addition to the live sessions, blended learning students will receive comprehensive tutor support through our support desk portal like online learning students.
This mode of study is treated as a Full-time study, not as Online learning. School of Business & Technology London understands that choosing the right education institution is as important as the qualifications you gain. Thus, SBTL always takes a genuine interest in the needs of our students and believe that we can drive positive change for their future.
Total Qualification Time (TQT) denotes the minimum timeframe a learner takes or requires to complete their qualification.It comprises of the GL (Hours) plus all other time taken in preparation,study or research or any other form of participation in education or training, however no direct supervision of a lecturer or tutor is required. TQT is a terminology mostly used within the qualifications regulated by Ofqual as part of the Regulated Qualification Framework (RQF). When calculating TQT, Awarding bodies take into account similar qualifications to ensure that both the quality and the requirement is met. We also consider the views and expectations of the learners of our qualifications during the development process leading to the attainment of qualification. Our learners will see TQT expressed in two ways within the qualification specifications.
Guided Learning hours are designed in a way that the learner need to complete the activities/ presentations under the instruction, guidance or supervision of a lecturer, tutor or supervisor either by physical presence or electronic means such as prepared lecture slides or learning material. Where a qualification follows a unitised structure, each unit will be allocated a GL(hours) value but where a qualification does not follow a unitised structure, GL (hours) will be allocated to the qualification as a whole. We at School of Business & Technology London provide well precise and detailed learning materials, prepared by qualified and approved tutors in line with the specifications detailed by the awarding body. Besides, learners are given constructive formative feedback for each unit emphasising for learning and development.
We at SBTL offer comprehensive learning materials to the learners made by qualified and approved tutors. In order to accomplish the qualification, learners are needed to undertake further research and readings to achieve the learning outcomes. Thus for further research and readings learners may need to access a number of books and/or journals ,articles from external sources such as libraries or online libraries when and where required. . If you are studying a CMI qualification, you will be provided with access to CMI Management Direct portal where you will have access to several eBooks, Journals and videos etc.
The course fee for online learning and blended learning are different. The fee details provided in the ‘fees and funding section’ of each course is meant for online learning only. If you want to know the fee details for a blended learning program, please speak to our admission team or email at admission@sbusinesslondon.ac.uk.
SBTL continuously innovates and provides high-quality education to transform the skills, knowledge and understanding of our students to enhance their employability and enable them to compete successfully in the dynamic and ever-changing business world. Blended Learning students at SBTL will receive the following benefits.
The number of hours of live sessions offered for blended learning students varies according to the course level they enrolled. Please see the illustrative examples below.
At School of Business & Technology London, we deploy a cutting-edge learning management system where the learners are enabled to pursue accredited online education with a simplified process. We focus on conferring utmost flexibility on you for schedules and accessibility and learner decide when and how to study. We offer advanced and proficient course portfolio, which meets the current global professional needs. Learners can accomplish their qualification at their own pace, and they don't need to put their life on hold to get qualified.
Quality learning materials made by industry experts is a significant competitive edge of 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.
Assessments are conducted through assignments and exams. Most of the courses offered at SBTL do to come with exams but only assignments. To find out whether your course requires exams, please visit the relevant course details page on our website and check the assessment section.
Being an approved centre, School of Business & Technology London reserve the right to preselect units to deliver each qualification. For every course, SBTL has preselected units (modules) as per the criteria among the various units listed in the course specification provided by the awarding body. The preselected units are shown in the details page of every course on our website.
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.
The fee can be paid in either of the following methods:
As it is a purely online program you have the flexibility to complete the learning at your ease. However, there is a course expiry date for each awarding body. Learner(s) is required to complete their course within the duration specified for each course. If the learner(s) would require additional time, they should inform the admissions manager during the enrollment process. The course duration for all the (a) award programs are 6 months, (b) certificate programs are 10 months, (c) diploma programs are 12 months and (d) extended diploma programs are 18 months. The course duration for the degree top-up programs are subject to the relevant university where the learner(s) is enrolled. This course duration is applicable for all the programs delivered by SBTL, irrespective of the awarding bodies. Suppose, for any reason, you exceed the maximum course duration, and additional time was not agreed upon during enrolment. In that case, you must request a course extension in writing within 14 days of the course expiry date. If your request is approved, a course extension fee is applicable. The applicable course extension fee is £150.00 plus VAT, which acts towards the administration charges for the course extension. You may also need to pay any awarding body re-registration fee if applicable, which will be subject to the policy of the respective awarding body .
The fee can be paid in two ways; either it can be made with a single payment or monthly instalments as specified in the course details page. Students who make a single amount will get an extra discount.
Both monthly and single payment details for online learning are given on our site. However, if you want to have a customised payment plan, please speak to our admission team or email at admission@sbusinesslondon.ac.uk
Select your course
You choose the course that you decide to pursue but ensure you meet the entry requirements.
Enrol
Once the course is selected, you make an application via our website and contact us via email admission@sbusinesslondon.ac.uk. You can make the payment online or bank transfer- either a single payment or easily monthly instalments.
Access to Learning Portal
You will be provided with the login credentials to access the learning portal, which will have all sorts of pathway learning materials to complete your programs successfully. The simplified materials are easy to understand and would help you to work on your assignments.
Dedicated Tutor
You will be allocated to a tutor and supported by our academic support team who will assist, and advice about your course and assignments. Once you accomplish your assignment, your allocated tutor will assess your work and provides you with formative feedback which will help you to improve your assignment prior to the final submission.
Assessment of Assignments.
Feedback is provided to you regularly when you improve your work. Once the final submission is made, marks and grades are published via the learning portal.
Certification
You will get your certificate once you completed the course successfully. You can then move on to your desired career with the help of the accredited certificate. You can enrol for a different course with us; if you want to study more, Decision is yours.
Our online learning gives you the flexibility to study when and where you want, with rich online learning resources and study guides developed by our expert tutors to provide structure, keep you motivated, and strengthen your understanding of the subject.
If you want a high level of structured guidance and support but can't attend scheduled live classes, then online learning is the perfect study method. You study at your own pace and set your own flexible schedule. We are dedicated to offering extensive learning support to simplify your learning journey, so we provide the option to schedule online personal meetings with your tutor at your convenience.
Our simplified online learning facilitates you to achieve high career growth without stress and dilemmas.
What's included in our online learning?
We offer our learners limitless learning experience opportunities to develop knowledge and skills with our innovative blended learning approach. Our blended learning combines self-paced online learning with scheduled online live classes. With our blended learning, you can schedule online live classes for each module you study at your convenience. Join scheduled, interactive live lectures online, talk to tutors during the class for live feedback, and get guidance and support for your studies.
What's included in our blended learning?
We are committed to providing unwavering support throughout your educational journey. Our dedicated support team is a crucial link between tutors and learners, ensuring that guidance, assessment feedback, and additional study assistance are delivered promptly and effectively. At the Support Desk area in the MyLearnDirect learning portal, you can raise queries, request tutor support, and ask for a call back whenever you need guidance and assistance.
We devised a structured support system and procedures to assist learners and streamline support processes efficiently.
Our extensive support includes:
We focus on providing a sophisticated, flexible learning experience. Our courses are designed to fit into your full-time work schedule.
You will have access to unlimited dedicated tutor support. You can also schedule personal tutor meetings.
