NCC Education
Level 5
QN: 610/6693/X
Curriculum Active
NCC Education Level 5 Extended Diploma in Computing with Data Science
Official qualification regulated by Ofqual, awarded by NCC Education. Classified as a Other General Qualification. Total guided learning hours: 476 hours.
Qualification Level
Level 5
Awarding Body
NCC Education
Syllabus Units
8 Units
Guided Hours
476 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Agile Development
Verified
Key Learning Objectives:
- Understand the background to Agile development
- Understand the roles within an Agile development team
- Understand the various Agile development techniques
- Understand an Agile development lifecycle
- Understand the principles associated with an Agile development approach
- Be able to apply an Agile development approach to a particular project scenario
2
Analysis, Design and Implementation
Verified
Key Learning Objectives:
- Understand the the seamless transition from OO analysis to OO design
- Understand how to convert OO analysis and design models to code
- Understand the quality attributes associated with an OO development
- Understand the concept of maintenance within an OO development environment
- Be able to produce OO analysis and design models using a CASE tool
- Be able to convert OO analysis and design models to code using an appropriate IDE
- Be able to refactor an OO program to improve quality
3
Artificial Intelligence
Verified
Key Learning Objectives:
- Understand the importance of AI and its applications.2.
- Apply a range of well-established AI search strategies and knowledge representation techniques in problem solving.3.
- Assess a range of well-established techniques for reasoning with uncertain knowledge.4.
- Understand a range of machine learning techniques.5.
- Understand the range of AI techniques that are being applied in industry or research.6.
- Implement and evaluate a range of AI models and techniques for solving real-world problems.
4
Business IT Project
Verified
Key Learning Objectives:
- Plan and manage the development of a computing artefact, Gather and evaluate requirements for an IT project, Conduct research to support the development of a computing artefact, Employ software engineering techniques in the development of a computing artefact
- Evaluate the success of a computing artefact
5
Data Analysis and Visualisation with Python
Verified
Key Learning Objectives:
- Demonstrate knowledge and apply principles of data science to analyse business problems
- be able to produce, comprehend and run Python code using Jupyter Notebook
- Be able to analyse and interpret data using relevant Python packages
- Create effective visualisations using Matplotlib and Seaborn
- Apply data analysis and visualisation techniques to real-world datasets
6
Introduction to Data Science and Big Data
Verified
Key Learning Objectives:
- Demonstrate a systematic and thorough understanding of the concept of Data Science and Big Data
- Demonstrate proficiency in data collection, design, and modelling for data processing
- Select appropriate techniques and tools for data pre-processing
- Understand the analytical techniques and software tools to effectively generate insights from data
- Understand the suitability of different visualisation methods for different types of Data
- Demonstrate a critical understanding of Data Science Ethics
7
IT Project Management
Verified
Key Learning Objectives:
- Demonstrate a critical understanding of the nature of IT Projects, their activities and challenges
- Explain and use project planning principles and techniques to address broadly defined, complex problems
- Explain and apply procedures needed to monitor, control and report upon an IT project
- Demonstrate a critical understanding of quality, its attributes and how it can be assessed and assured
- Discuss and apply the principles of project risk management
- Demonstrate acritical understanding of project organisation and team
8
Professional and Career Development in IT
Verified
Key Learning Objectives:
- Demonstrate a critical understanding of employability attributes
- Demonstrate a critical understanding of professionalism attributes
- Discuss ethical and social issues and impacts related to Computing
- Undertake research into suitable careers and employment opportunities
- Develop a plan for CPD
- Participate constructively in team
Regulatory & Verification Details
- Qualification Number (QN)
- 610/6693/X
- Regulated Status
- Available to learners
- Awarding Body
- NCC Education
- Qualification Type
- Other General Qualification
- Operational Start
- Nov 2025