Pearson
    Level 5
    QN: 610/1181/2
    Curriculum Active

    Pearson BTEC Level 5 Higher National Diploma in Computer Systems Engineering for England

    Official qualification regulated by Ofqual, awarded by Pearson. Classified as a Other Vocational Qualification. Total guided learning hours: 960 hours.

    Qualification Level
    Level 5
    Awarding Body
    Pearson
    Syllabus Units
    16 Units
    Guided Hours
    960 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Computer Architecture and Interfacing

    Verified
    Key Learning Objectives:
    • Produce an assembly application targeting a chosen Instruction Set Architecture (ISA) to meet application requirements.2.
    • Analyse microarchitectural approaches for target application domains to meet set design requirements.3.
    • Examine the key components used in the implementation of modern System on Chip.4.
    • Investigate the techniques used to interface with modern processors.
    2

    Data and Information

    Verified
    Key Learning Objectives:
    • Investigate the difference between data and information for decision making
    • Examine the impact of data quality on producing information for decision making
    • Demonstrate methods for primary and secondary data collection
    • Assess data analysis methods and techniques to meet or exceed the customer or organisational requirements and expectations.
    3

    Data Networks, Services and Security

    Verified
    Key Learning Objectives:
    • Investigate the architecture and classification of the protocols needed to design, deploy and manage various computer networks to support organisational requirements
    • Examine the different types of networking technologies needed to secure data transmission for services locally and over the Internet
    • Design and deploy a net
    • work as a solution for a business use case with a strategy for net
    • work management and monitoring
    • Optimise net
    • work performance to address the requirements of a hostile organisational environment including ethical and cybersecurity threats and hazards.
    4

    Digital Devices and Systems

    Verified
    Key Learning Objectives:
    • Design combinational logic circuits for suitable applications
    • Design sequential logic circuits for suitable applications
    • Implement combinational and sequential logic circuits using a hardware description language (HDL) software package
    • Test combinational and sequential logic designs using a field-programmable gate array (FPGA) development board.
    5

    Digital System Design

    Verified
    Key Learning Objectives:
    • Implement shift registers and mod-x counters using an HDL and FPGA development board
    • Synthesise medium complexity digital circuits using structural HDL descriptions
    • Design Finite State Machines (FSM)
    • Implement Finite State Machines by applying CAD tools and by using a FPGA development board.
    6

    Electronic Circuits and Devices

    Verified
    Key Learning Objectives:
    • Determine the operational characteristics of amplifier circuits.2.
    • Investigate the types and effects of feedback on an amplifier’s performance.3.
    • Examine the operation and application of oscillators.4.
    • Apply testing procedures to electronic devices and circuits.
    7

    Embedded Systems

    Verified
    Key Learning Objectives:
    • Examine embedded system technology.2. Design an embedded system using available interfaces to perform a range of functions.3.
    • Implement embedded system design by writing code in an appropriate programming language, to simulate, test and debug the system.4.
    • Evaluate applications of embedded systems in the wider environment.
    8

    Engineering Mathematics

    Verified
    Key Learning Objectives:
    • Apply a variety of mathematical methods to a range of engineering and manufacturing sector problems.2.
    • Investigate applications of statistical and probability techniques to interpret
    • organise, and present data.3.
    • Use analytical and computational methods for solving engineering and manufacturing sector problems by relating sinusoidal wave and vector functions to their respective applications.4.
    • Examine how differential and integral calculus can be used to solve engineering and manufacturing sector problems.
    9

    Engineering Project

    Verified
    Key Learning Objectives:
    • Identify an engineering-based project in line with national and international engineering regulatory and ethical frameworks
    • Plan an engineering-based project using project management software, tools and techniques
    • Implement the project plan to include the production of a technical engineering report
    • Present the engineering-based project and reflection of the project outcomes
    10

    Engineering Science I

    Verified
    Key Learning Objectives:
    • Examine scientific data using both quantitative and qualitative methods.2.
    • Apply the fundamentals of mechanical engineering systems.3.
    • Explore the characteristics and properties of engineering materials.4.
    • Analyse applications of A.C./D.C. circuit theorems, electromagnetic principles, and properties.
    11

    Further Engineering Mathematics

    Verified
    Key Learning Objectives:
    • Use applications of number theory in practical engineering/manufacturing situations.2.
    • Solve systems of linear equations relevant to engineering//manufacturing sector applications using matrix methods.3. Approximate solutions of contextualised examples with graphical and numerical methods.4.
    • Review models of engineering/manufacturing systems using ordinary differential equations.
    12

    Internet and Network Technologies

    Verified
    Key Learning Objectives:
    • Discuss the evolution of the Internet identifying major technological and usage transitions
    • Evaluate net
    • work protocols suitability to meet application requirements referencing appropriate standards
    • work designs to meet customer requirements that conform to industry best practice
    • Analyse the security threats faced by computer networks and communicate mitigation strategies.
    13

    Machine Learning Systems and Programming

    Verified
    Key Learning Objectives:
    • Investigate best coding practices and object-oriented programming design principles for machine learning applications.2.
    • Analyse the different machine learning approaches and algorithms.3.
    • Apply machine learning to solve real-world problems using object-oriented programming.4.
    • Assess ethical challenges and security risks of machine learning within the values of an organisation.
    14

    Professional Engineering Practice

    Verified
    Key Learning Objectives:
    • Determine the roles, responsibilities and competences of the professional engineer.2.
    • Describe the regulatory, legislative and ethical frameworks that govern the work of the professional engineer.3.
    • Review the roles of communication, team working and leadership in the development of professional engineers.4.
    • Discuss how professional engineers can develop holistic approaches to the sustainability of manufacturing processes.
    15

    Programming for Engineers

    Verified
    Key Learning Objectives:
    • Discuss key aspects of software evolution and development in the context of engineering applications
    • Design a programming solution for an engineering problem
    • Implement a programming solution for an engineering problem
    • Perform testing of the programming solution to meet defined requirements and to ensure high quality outputs
    16

    Sensors and Automation

    Verified
    Key Learning Objectives:
    • Explore computer control in a feedback configuration
    • Examine different types of sensors and actuators for automation
    • Demonstrate design and implementation skills in programming PLC-based controllers
    • Investigate PROFINET standard, operation, and data analysis techniques.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/1181/2
    Regulated Status
    Available to learners
    Awarding Body
    Pearson
    Qualification Type
    Other Vocational Qualification
    Operational Start
    Sept 2024