To speak to one of our admission team, please click the ‘Ring me’ button. Our working hours are 9.00am–6.00pm GMT Monday to Friday and Saturday 9.00am–1.00pm. If everyone is busy helping other customers, one of our representatives will call you back as soon as they become available.
The Level 7 Diploma in Data Science has been designed to prepare aspiring Data Scientists, Data Analysts, and Artificial Intelligence specialists to take advantage of the growing business and employment opportunities in cloud computing, big data, and artificial intelligence. The course aims to provide a career path for learners who wish to develop their academic and practitioner research and critical thinking capabilities within the field of data science and analytics. This course enables you to gain skills in maths, statistics, and programming in R, Python, and SQL. The course also provides a strong foundation for progression to Master's Degrees in relevant disciplines.
Upon successful completion of the course you will receive a recognised UK Qualification which will allow you to progress to further studies or directly into employment.
The Level 7 Diploma in Data Science has been developed to enable learners to formulate research hypotheses, organise, analyse, and visualise data to uncover hidden solutions that can challenge traditional business assumptions and support organisations and their managers in key decision-making through the application of a wide range of techniques and models used in data science. The course is highly suitable for those who look to pursue a career in Data Science.
Upon completing this course, you will be able to:
Full access for 12 months from enrolment.
The QUALIFI Level 7 Diploma in Data Science is designed for individuals seeking to develop the advanced knowledge and strategic skills needed to lead data science initiatives and inform organisational strategy.
By completing this certification course, you will be able to:
Qualifi is a UK Awarding Organisation recognised by Ofqual and is set up to respond to the changing needs of learners and employers both at home and abroad. Qualifi produces consistent, credible qualifications with international recognition across numerous industries and professions.
Key reasons to choose Qualifi Qualifications:
To enrol in the QUALIFI Level 7 Diploma in Data Science, learners must meet the following entry requirements.
Be 18 years of age and over.
A Level 6 qualification, or equivalent experience gained in a data science, IT, or senior business management-related environment.
Possess the ability to complete the Level 7 course.
The course is offered in English. You must possess considerable competency in English.
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.
The QUALIFI Level 7 Diploma in Data Science comprises nine mandatory units. You are required to complete all the mandatory units to achieve the 120 credits required to gain the Level 7 Diploma in Data Science qualification.
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.
Aims of unit
This unit provides learners with an in-depth understanding of R and Python programming and the fundamentals of statistics. This includes writing R and Python commands for data management and basic statistical analysis. The unit will help the learner to understand and perform descriptive statistics and present the data using appropriate graphs/diagrams and serves as a foundation for advanced analytics. Most industry analysis starts with Exploratory Data Analysis and a thorough study of this will help learners to perform data health checks and provide initial business insights.
Aims of unit
This unit provides learners with an in-depth understanding of statistical distribution and hypothesis testing. Statistical distributions include Binomial, Poisson, Normal, Log Normal, Exponential, t, F and Chi Square. Parametric and non-parametric tests used in research problems are covered in this unit. The unit will help learners to formulate research hypotheses, select appropriate tests of hypothesis, write mainly R programs to perform hypothesis testing and to draw inferences using the output generated. Learners will also study planned experiments as part of the unit.
Aims of unit
This unit provides a strong foundation for predictive modelling. Its objective is to define the entire modelling process with the help of real life case studies. Many concepts in predictive modelling methods are common and therefore, these concepts will be discussed in detail in this unit. A good understanding of predictive modelling leads to a smart data scientist as many business problems are related to successfully predicting future outcomes.
Aim
In this unit, learners are introduced to model development for categorical dependent variables. Binary dependent variables are encountered in many domains such as risk management, marketing and clinical research and this unit covers detailed model building processes for binary dependent variables. In addition, multinomial models and ordinal scaled variables will also be discussed.
Aims of unit
The objective of this unit is to discuss time series forecasting methods. Learners will analyse and forecast macroeconomic variables such as GDP and inflation. Panel data regression methods will also be discussed in this unit.
Aims of unit
Data reduction is a key process in business analytics projects. In this unit, learners will learn data reduction methods such as PCA, factor analysis and MDS. They will also learn to form segments using cluster analysis methods. Forming segments and then analysing is a key technique for large groups of data and their intrinsic information comes out in detail once segmented thoughtfully.
Aims of unit
Machine learning algorithms are new generation algorithms used in conjunction with classical predictive modelling methods. In this unit, learners will understand applications of various machine learning algorithms for classification problems.
Aims of unit
In this module, learners will learn how to analyse unstructured data using text mining. The focus will be on sentiment analysis of text data, including data available on social media. For building interactive web apps straight from R, the concept of the “SHINY” package will be introduced. Big Data concepts and artificial Intelligence will be covered in the unit, as well as an introduction to SQL programming and how it is used to handle data.
Aims of unit
The convergence of Cloud computing, Big Data, Artificial Intelligence and The Internet of Things will see organisations of all shapes and sizes either survive and thrive or face extinction. New operational and strategic norms, types of organisations, the nature of work and employment are changing fundamentally across vast parts of the global economy. This unit introduces learners to the strategic and managerial challenges generated by the impact of digital technology on business and organisations.
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.
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.
We focus on providing a sophisticated, flexible learning experience. Our courses are designed with 100% online learning so your studies fit around your full-time work and other commitments, letting you study from anywhere, at your own pace.
You'll also get dedicated tutor support, scheduled personal tutor meetings whenever you need them, and access to our Dedicated Support Desk portal to raise queries or request a call back.
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 without attending scheduled classes, then online learning is the perfect study method for you. You study at your own pace and set your own flexible schedule. Our simplified online learning helps you achieve high career growth without stress and dilemmas.
You can 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. When it comes to support, we have a dedicated support desk team so you can raise queries, request tutor support, and ask for a callback whenever you need guidance or assistance.
You will have access to unlimited dedicated tutor support through our centralised Support Desk portal. You can schedule personal tutor meetings whenever needed and raise queries via the MyLearnDirect learning portal at any time.
What are the payment methods?
The fee can be paid in either of the following methods:
Debit Card/Credit Card
PayPal
Bank Transfer
Do you offer a monthly payment plan?
Yes. We offer flexible, low-cost and interest-free payment plans across all our courses and study methods, so you can spread the cost monthly and focus on learning.
Can I interchange the units?
As an approved centre, SBTL preselects the units for each course from those listed in the awarding body's specification, and the preselected units are shown on every course's details page.
If you'd like different units, you must request this before enrolment so we can confirm the learning resources are available. Once enrolment is complete, unit interchange requests can no longer be accommodated.
What are the steps I need to follow once I decide to join you?
What does the allocated tutor provide to me?
Are Qualifi courses accredited?
QUALIFI qualifications are regulated by Ofqual and designed to provide learners with structured academic and professional development opportunities.
Qualifications can support progression to degree and Master's top-up programmes at universities in the UK and internationally, subject to the entry requirements of the receiving institution and the specific qualification. This gives learners a flexible route to continue their academic studies after completing a QUALIFI qualification.
QUALIFI qualifications are delivered through approved centres, allowing learners to study through flexible learning arrangements while working towards a regulated UK qualification.
It is a purely online course that allows you to complete your learning at your own pace. You are required to complete your course within the support duration specified for your course. If you need additional time, you should contact your admissions advisor to discuss your options.
The course duration varies depending on the qualification and credit requirement. Please see the duration below:
