NOCN
    Level 5
    QN: 610/3289/X
    Curriculum Active

    NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

    Official qualification regulated by Ofqual, awarded by NOCN. Classified as a Vocationally-Related Qualification. Total guided learning hours: 6754 hours.

    Qualification Level
    Level 5
    Awarding Body
    NOCN
    Syllabus Units
    10 Units
    Guided Hours
    6754 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Applied Project and Quality Management

    Verified
    Key Learning Objectives:
    • Be able to analyse projects and project management approaches in own context.
    • Be able to develop a comprehensive plan for project management in relation to chosen project.
    • Be able to understand the importance of establishing a quality culture.
    • Be able to implement project governance and ethical frameworks.
    • Be able to evaluate project closure processes.
    2

    Apply the Concepts of Computer Software Packages to Assist with Engineering Activities for Computer Engineering

    Verified
    Key Learning Objectives:
    • Understand computer software packages to assist with engineering activities for electrical and electronics engineering.2.
    • Be able to incorporate the practical elements of computer software packages to assist with engineering activities for electrical and electronics engineering.
    3

    Apply the Concepts of Data Science to Computer Engineering

    Verified
    Key Learning Objectives:
    • Be able to understand the role of Data Scientist in the data life cycle for computer engineering.2.
    • Be able to understand the functional aspects of data science for computer engineering.3.
    • Be able to understand the skills of a Data Scientist for computer engineering.4.
    • Be able to know the different tools and technologies of data science.5.
    • Be able to understand the applications of data science in various industry verticals through use cases.
    4

    Building Relationships in a Workplace Setting

    Verified
    Key Learning Objectives:
    • Understand the importance of building meaningful and mutually supportive relationships with both internal and external individuals of the business in a workplace setting.2.
    • Be able to use appropriate tools to identify stakeholders and their requirements in a workplace setting.3.
    • Be able to recognise opportunities for resource sharing with partners in a workplace setting.4.
    • Be able to prepare for effective negotiation to reach desired outcomes in a workplace setting.5.
    • Understand strategies for reducing, minimising and dealing with conflict in a workplace setting.
    5

    Computer Engineering

    Verified
    Key Learning Objectives:
    • Effective English Communication for Engineering Practice
    • Concepts of Mathematics to Engineering Practice
    • Principles of Applied Physics for Engineering Practice
    • Computer Fundamentals for Engineering Practice
    • Electrical and Electronics Engineering Applications for Engineering Practice
    • Environmental Studies for Engineering Practice
    • Engineering Graphics for Engineering Drawings for Engineering Practice
    • Information Technology for Engineering Practice
    • Internet of Things and Artificial Intelligence Applications for Engineering Practice
    • Concepts of Programming using C Language for Computer Engineering
    • Operating Systems for Computer Engineering
    • Concepts of Digital Electronics for Computer Engineering
    • Concepts of Multimedia Applications for Computer Engineering
    • Concepts of Data Communication for Computer Engineering
    • Concepts and Principles of Data Structures using C for Computer Engineering
    • Object Oriented Programming using JAVA for Computer Engineering
    • Concepts of Computer Organisation for Computer Engineering
    • Concepts of Microprocessors and Peripheral Devices for Computer Engineering
    • Concepts of Database Management Systems for Computer Engineering
    • Concepts of Software Engineering used for Computer Engineering
    6

    Computer Engineering, Information Technology and Data Science

    Verified
    Key Learning Objectives:
    • Web Programming Laboratory for Computer Engineering, Information Technology and Data Science
    • Office Solutions Development Laboratory for Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Mathematics to Computer Engineering, Information Technology and Data Science
    • Communicate Effectively using English Language for Computer Engineering, Information Technology and Data Science
    • Apply the Fundamental Concepts of Computing Systems to Computer Engineering, Information Technology and Data Science
    • Computer Programming Laboratory for Computer Engineering, Information Technology and Data Science
    • Fundamental Electrical and Electronics Laboratory for Computer Engineering, Information Technology and Data Science
    • Apply the Fundamental Concepts of Electrical and Electronics to Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Applied Science to Engineering
    • Apply the Concepts of Algorithm, Problem Solving Techniques and Flow Charts to Computer Engineering, Information Technology and Data Science
    • Structured Query Language Laboratory for Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Data Structures Using Computer Programming Language to Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Software Engineering to Computer Engineering, Information Technology and Data Science
    • Data Structure Laboratory with Computer Programming Language for Computer Engineering, Information Technology and Data Science
    • Computer Programming Language for Computer Engineering, Information Technology and Data Science
    • Computer Networks Laboratory for Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Database Design and Development to Computer Engineering, Information Technology and Data Science
    • Apply the Concepts of Computer Networks to Computer Engineering, Information Technology and Data Science
    • Operating System Laboratory for Computer Engineering, Information Technology and Data Science
    • Apply the Principles of an Operating System to Computer Engineering, Information Technology and Data Science
    7

    Maintain Systems and Processes for Health, Safety, Welfare and Environmental Protection in an Engineering Environment

    Verified
    Key Learning Objectives:
    • Be able to develop and promote health, safety, welfare and environmental awareness in an engineering environment.
    • Be able to review existing practice to identify opportunities for improvements and communicate appropriate improvement measures.3.
    • Be able to manage the access and induction to engineering environments for all relevant stakeholders.4.
    • Be able to check the competence of those under direct line management.5.
    • Be able to communicate health, safety, welfare and environmental information in an engineering environment.6.
    • Be able to review the serviceability of health, safety and welfare equipment and resources.7.
    • Be able to employ health, safety, welfare and environmental systems
    • identify hazards and reduce risks
    • report accidents and emergencies and prevent recurrence.8.
    • Be able to monitor health, safety, welfare and environmental protection systems regularly to meet organisational and regulatory requirements.9.
    • Be able to identify and report special conditions which contravene usual organisation and / or regulatory requirements.
    8

    Operations Management in a Workplace Setting

    Verified
    Key Learning Objectives:
    • Understand the role of operations management within the overall leadership/management context in a workplace setting.2.
    • Understand the strategic planning process of moving from an organisational mission and vision statement to establishing action plans for sub-units in a workplace setting.3.
    • Understand performance measures appropriate to different hierarchical levels and organisational sub-units in a workplace setting.4.
    • Understand how workforce planning could be used to support given operational activities in a workplace setting.5.
    • Understand the role of data analysis as part of a structured problem solving methodology in supporting planning and decision making in a workplace setting.
    9

    Project Management & Quality Management for Computer Engineering

    Verified
    Key Learning Objectives:
    • Be able to understand the importance of establishing a quality culture in creating defect-free goods and services in electrical and electronics engineering.
    • Be able to understand the mandatory and optional standards that apply to quality management in electrical and electronics engineering.3.
    • Be able to understand the importance of identifying specific control points in electrical and electronics engineering.4.
    • Be able to understand the importance of using statistical techniques to control the sampling of an output from a production process in electrical and electronics engineering.5.
    • Be able to understand how to create a project plan for electrical and electronics engineering projects.6.
    • Be able to understand the importance of regular project monitoring and review for electrical and electronics engineering projects.
    10

    Supply Chain Management in a Workplace Setting

    Verified
    Key Learning Objectives:
    • Understand the chain of events in business-to-business supply in a workplace setting.2.
    • Understand how to improve the productivity of a supply chain in a workplace setting.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/3289/X
    Regulated Status
    Available to learners
    Awarding Body
    NOCN
    Qualification Type
    Vocationally-Related Qualification
    Operational Start
    Sept 2023