Dive into the exciting world of data and artificial intelligence with the LICQual Level 2 Diploma in Data and AI – Software and Data, a cutting-edge qualification designed to kickstart your career in one of today’s most in-demand fields. This course is perfect for beginners and early-career professionals eager to master the fundamentals of data management, software applications, and AI technologies. Whether you’re looking to break into tech or enhance your skills in data-driven decision-making, this diploma offers a dynamic, hands-on learning experience that equips you with practical tools and knowledge to thrive in the digital age. Start your journey to becoming a skilled data and AI professional today!
The LICQual Level 2 Diploma provides a solid foundation in data handling, software tools, and AI concepts, tailored for industries like technology, finance, marketing, and more. You’ll learn to collect, analyze, and interpret data while exploring the basics of AI and its applications in real-world scenarios. Delivered through flexible, engaging modules, this course is designed for busy learners, allowing you to study at your own pace, whether online or in-person. By enrolling, you’re taking a bold step toward a future-proof career in data and AI, opening doors to exciting opportunities in a rapidly growing field.
The LICQual Level 2 Diploma in Data and AI – Software and Data is a comprehensive program crafted to empower learners with essential skills in data management, software applications, and introductory AI techniques. Ideal for those new to the field or seeking to build a strong foundation, this qualification combines practical training with theoretical insights to prepare you for roles in data analysis, software support, and AI-driven projects. Through interactive learning and real-world applications, you’ll gain the confidence to work with data and contribute to innovative solutions in diverse industries.
The curriculum covers key topics such as data collection and processing, software tools for data analysis, basic AI principles, and data visualization techniques. You’ll explore industry-standard tools like Excel, Python basics, and introductory machine learning concepts, enabling you to handle data effectively and understand AI’s role in business. Hands-on projects and case studies ensure you can apply your skills to solve practical problems, while also developing critical thinking and collaboration abilities. This course fosters a deep understanding of data and AI, preparing you to meet the demands of the modern tech landscape.
Designed for accessibility, the LICQual Level 2 Diploma offers flexible learning options, making it ideal for students, professionals, or career changers balancing busy schedules. Upon completion, you’ll earn an internationally recognized qualification accredited by LICQual, paving the way for roles like junior data analyst, software support specialist, or AI assistant. This diploma not only builds your technical expertise but also positions you for career growth in the fast-evolving data and AI sectors.
Course Overview
Qualification Title
LICQual Level 2 Diploma in Data and Al – Software and Data
Total Units
6
Total Credits
36
GLH
120
Qualification #
LICQ2200562
Qualification Specification
To enroll in the LICQual Level 2 Diploma in Data and Al – Software and Data, applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200562-1 |
Introduction to Digital Skills, Data, and AI |
6 |
20 |
|
LICQ2200562-2 |
Basics of Computer Systems and Software Applications |
6 |
20 |
|
LICQ2200562-3 |
Understanding Data Types, Collection, and Simple Analysis |
6 |
20 |
|
LICQ2200562-4 |
Introduction to Algorithms and Logical Thinking |
6 |
20 |
|
LICQ2200562-5 |
Working Safely with Digital Data and Understanding Cyber Ethics |
6 |
20 |
|
LICQ2200562-6 |
Exploring Simple AI Tools and Real-Life Applications |
6 |
20 |
By the end of this course, learners will be able to:
Introduction to Digital Skills, Data, and AI
- Explain the fundamental concepts of digital skills, data, and artificial intelligence, including their roles in modern business and technology.
- Identify key applications of data and AI in various industries, such as healthcare, finance, and marketing.
- Demonstrate basic digital literacy skills to navigate data-driven tools and platforms effectively.
- Evaluate the impact of data and AI technologies on organizational efficiency and decision-making processes.
Basics of Computer Systems and Software Applications
- Describe the components and functions of computer systems, including hardware, software, and operating systems.
- Utilize common software applications, such as spreadsheets and databases, to perform basic data-related tasks.
- Apply software tools to support data management and basic analysis in real-world scenarios.
- Assess the suitability of different software applications for specific data and AI-related tasks.
Understanding Data Types, Collection, and Simple Analysis
- Identify various data types, including structured and unstructured data, and their relevance to data analysis.
- Apply basic data collection methods, such as surveys and data entry, to gather accurate and relevant information.
- Perform simple data analysis techniques, such as sorting, filtering, and basic calculations, using tools like Excel or similar software.
- Evaluate the quality and reliability of collected data to ensure effective analysis and decision-making.
Introduction to Algorithms and Logical Thinking
- Explain the concept of algorithms and their role in data processing and AI applications.
- Develop basic logical thinking skills to design simple algorithms for solving everyday problems.
- Apply flowcharting or pseudocode to represent algorithmic processes in a clear and structured manner.
- Assess the effectiveness of basic algorithms in addressing specific data-related tasks or challenges.
Working Safely with Digital Data and Understanding Cyber Ethics
- Implement best practices for securely handling and storing digital data to prevent unauthorized access or loss.
- Explain the principles of cyber ethics, including data privacy, intellectual property, and responsible technology use.
- Apply data protection techniques, such as encryption and access controls, to ensure compliance with ethical and legal standards.
- Evaluate the implications of unethical data practices on individuals, organizations, and society.
Exploring Simple AI Tools and Real-Life Applications
- Identify and explore simple AI tools, such as chatbots or predictive analytics software, and their practical applications.
- Apply basic AI tools to perform tasks like data classification or pattern recognition in real-world scenarios.
- Analyze the benefits and limitations of AI tools in enhancing business processes and decision-making.
- Evaluate the impact of AI applications on operational efficiency and innovation in various industries.
This course is ideal for:
- Beginners with little or no prior experience in data, AI, or software technologies
- Students or school leavers interested in exploring careers in digital technology, IT, or AI
- Individuals seeking to build foundational knowledge in data handling and digital tools
- Entry-level employees wanting to improve their digital and analytical skills
- Career changers aiming to transition into the fields of data analysis, software, or AI
- Learners planning to progress to higher-level qualifications in data science or technology
- Young professionals exploring opportunities in the growing digital economy
- Interns or apprentices in business, tech, or administration roles needing digital fluency
- Adult learners looking to upskill in data and digital literacy for modern work environments
- Anyone interested in understanding how AI and data are shaping the future of business and society
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.
