The world is rapidly evolving through technology, and data-driven decision-making has become the foundation of modern industries. The QualCert Level 2 Diploma in Data and AI – Software and Data is designed to provide learners with foundational knowledge and practical skills that support entry into the dynamic field of data science, artificial intelligence, and software tools.
This qualification empowers individuals with the ability to manage, analyse, and understand data using beginner-level software and programming tools. It serves as a vital stepping stone for learners who wish to pursue careers in data analysis, software development, or AI implementation across various industries.
The Level 2 Diploma introduces key principles of data management, programming, machine learning, data ethics, and visualisation. Learners will gain hands-on experience with common tools and techniques used in the field of data and AI, including basic scripting, data preprocessing, and the use of software platforms for analysis.
As industries increasingly rely on data to drive business outcomes, foundational knowledge in this area is crucial. This diploma equips learners with the confidence to move into more specialised areas such as business intelligence, software development, data science, or machine learning engineering through further education or workplace training.
Whether you are starting your journey in technology or aiming to strengthen your technical profile, the QualCert Level 2 Diploma in Data and AI – Software and Data is a practical and accessible qualification. It delivers a solid grounding in key data and software concepts that can lead to exciting career paths in one of today’s most in-demand sectors. For those who are ready to future-proof their careers with industry-relevant skills, this qualification offers a smart and strategic first step.
Course Contents of QualCert Level 2 Diploma in Data and AI – Software and Data:
The QualCert Level 2 Diploma in Data and AI – Software and Data, offers 42 Credits, requiring a Total Qualification Time (TQT) of 210 hours, including 150 Guided Learning Hours (GLH).
| Unit Ref# | Unit Title | Credit | GLH | TQT |
| QC20001-1 | Fundamentals of Data Management and Storage | 7 | 25 | 35 |
| QC20001-2 | Introduction to Programming for Data Applications | 7 | 25 | 35 |
| QC20001-3 | Basics of Artificial Intelligence and Machine Learning | 7 | 25 | 35 |
| QC20001-4 | Data Collection, Cleaning and Preprocessing Techniques | 7 | 25 | 35 |
| QC20001-5 | Software Tools for Data Analysis and Visualisation | 7 | 25 | 35 |
| QC20001-6 | Ethical and Legal Considerations in Data and AI | 7 | 25 | 35 |
Entry Requirements for the QualCert Level 2 Diploma in Data and AI – Software and Data:
To enroll in the QualCert Level 2 Diploma in Data and AI – Software and Data, following are requirement:
Minimum Age
- Learners must be at least 16 years of age at the time of enrolment.
Educational Background
- A minimum of Level 1 qualification or equivalent in a relevant subject (such as ICT, Mathematics, or Science) is recommended.
- Alternatively, learners should possess basic numeracy and literacy skills.
Experience
- No prior professional experience is required. However, familiarity with basic computer operations and internet usage will be beneficial.
- This course is suitable for beginners or those transitioning into the field of data and AI.
Language Proficiency
- Learners must have a basic command of the English language.
- It is recommended that learners have achieved a minimum of CEFR Level B1 (or equivalent) in English to fully understand course content and participate in assessments.
These requirements are designed to ensure that all learners can engage effectively with the course materials and maximise their learning experience.
Learning Outcomes of QualCert Level 2 Diploma in Data and AI – Software and Data:
Fundamentals of Data Management and Storage
- Understand the principles of data organisation, storage, and retrieval
- Identify different types of databases and their applications
- Demonstrate knowledge of file formats, storage media, and backup methods
- Apply basic data management techniques to ensure data integrity and accessibility
Introduction to Programming for Data Applications
- Learn the basics of programming languages used in data applications (e.g., Python)
- Understand key programming concepts such as variables, loops, and conditionals
- Write simple programs to perform data-related tasks
- Debug and test basic code to ensure functionality
Basics of Artificial Intelligence and Machine Learning
- Gain a foundational understanding of AI and machine learning concepts
- Identify real-world applications of AI in various industries
- Understand the difference between supervised and unsupervised learning
- Explore the basic workflow of a machine learning model
Data Collection, Cleaning and Preprocessing Techniques
- Learn methods for collecting structured and unstructured data
- Understand the importance of data quality and consistency
- Apply basic techniques for cleaning and preparing data for analysis
- Identify and handle common data issues such as missing values and outliers
Software Tools for Data Analysis and Visualisation
- Use popular software tools for analysing data sets (e.g., Excel, Power BI, or Python libraries)
- Create visual representations of data using charts, graphs, and dashboards
- Interpret data patterns and trends from visual outputs
- Apply data analysis techniques to support basic decision-making
Ethical and Legal Considerations in Data and AI
- Understand key ethical issues in the use of data and AI
- Learn about data protection regulations such as GDPR
- Identify potential biases in AI systems and how to mitigate them
- Apply best practices for responsible and legal use of data and AI technologies
The QualCert Level 2 Diploma in Data and AI – Software and Data, is ideal for:
- Students and school leavers who are interested in building a foundation in data and AI
- Aspiring data analysts, software developers, or AI professionals looking to gain essential technical skills
- Career changers from non-technical backgrounds who want to explore opportunities in the data and technology sector
- Individuals seeking practical skills in data handling, programming, and digital tools for employment or further study
- Organisations wanting to upskill entry-level staff in data-driven thinking and ethical AI practices
This course provides an accessible and structured path for anyone with an interest in how data and AI technologies are shaping today’s digital world.