QUALIFI Level 3 Diploma in Data Science

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.

Entry Criteria

• 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.

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

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

Progression

Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities:

1. 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.
2. 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.
3. 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

Beginners in Data science field

• Approved Centres are responsible for reviewing and making decisions as to the applicant’s ability to complete the learning programme successfully and meet the demands of the qualification. The initial assessment by the centre will need to consider the support that is readily available or can be made available to meet individual learner needs as appropriate.
• The qualification has been designed to be accessible without artificial barriers that restrict access. For this qualification, applicants must be aged 18 or over.

Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities.

Certificate of completion

Digital certificate - Included