Computing Technologies
Computing Technologies
Computing Technologies
Computing Technologies
Diploma
Level 7 - Undergraduate
Course Code
603/7702/1
Credits
120 ESTC
Correspondence
Equivalent to a postgraduate diploma level in the UK, comparable internationally to a Master’s level qualification.
Programme Overview
The Level 7 Diploma in Computing Technologies provides learners with advanced knowledge in key areas of computing, preparing them for specialised roles or further study. This qualification covers innovation, cyber security, data analytics, and software development, addressing the critical needs of the fast-evolving tech sector. Learners may follow the General Route or select specialised pathways, such as Software Engineering, Application Development, or Data Analytics.
Aims of the Diploma
The diploma aims to:
Build expertise in managing computing projects, cyber security, and data analytics.
Equip learners with skills for software development and systems management.
Prepare learners for senior technical roles or further academic progression in computing.
Learning Outcomes
Upon successful completion, learners will be able to:
Implement advanced computing solutions for organizational needs.
Design secure systems with a focus on user experience.
Utilize business intelligence and data analytics to support decision-making.
Lead innovation and manage projects using industry-standard methodologies.
Duration
Full-Time: 1 Year
Part-Time: 2 Years
Maximum Completion: 5 Years from Enrolment
Mode of Delivery
Distance Education
Self-Paced Learning
Course Materials: Online resources, multimedia content, case studies.
Admission Requirements
Typical Age: 21+
Prior Qualifications: Completion of Level 6 studies, such as a Bachelor’s degree in Computing, Information Technology, or a related field.
Professional Experience: In certain cases, applicants with at least 5 years’ management experience may be considered.
International Qualifications: Equivalent qualifications may include:
A Bachelor’s degree in a relevant discipline or extensive work experience in IT.
English Proficiency (for non-native speakers): IELTS 5.5, CEFR level B2, or equivalent.
Additional Guidance : For assistance with qualification equivalency or language requirements, please contact our admissions advisor at [email protected] or through our contact page.
Admission Requirements
Typical Age: 21+
Prior Qualifications: Completion of Level 6 studies, such as a Bachelor’s degree in Computing, Information Technology, or a related field.
Professional Experience: In certain cases, applicants with at least 5 years’ management experience may be considered.
International Qualifications: Equivalent qualifications may include:
A Bachelor’s degree in a relevant discipline or extensive work experience in IT.
English Proficiency (for non-native speakers): IELTS 5.5, CEFR level B2, or equivalent.
Additional Guidance : For assistance with qualification equivalency or language requirements, please contact our admissions advisor at [email protected] or through our contact page.
Admission Requirements
Typical Age: 21+
Prior Qualifications: Completion of Level 6 studies, such as a Bachelor’s degree in Computing, Information Technology, or a related field.
Professional Experience: In certain cases, applicants with at least 5 years’ management experience may be considered.
International Qualifications: Equivalent qualifications may include:
A Bachelor’s degree in a relevant discipline or extensive work experience in IT.
English Proficiency (for non-native speakers): IELTS 5.5, CEFR level B2, or equivalent.
Additional Guidance : For assistance with qualification equivalency or language requirements, please contact our admissions advisor at [email protected] or through our contact page.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Structure of the Qualification
Total Credits: 120 ECTS
Modules: Five mandatory units and two optional units allow learners to specialise according to career interests.
Core Modules
Mandatory for All Routes
Managing Innovation and Change in Computing (20 Credits)
Focuses on strategies for fostering innovation and managing technological changes within organizations.Systems Development and User Experience (UX) (20 Credits)
Teaches design methodologies that prioritize user experience, covering usability, prototyping, and iterative testing.Implementing and Managing Cyber Security (20 Credits)
Provides essential knowledge for managing organizational cyber security, including threat analysis and protection strategies.Business Intelligence Systems (20 Credits)
Examines data-driven decision-making, including data modeling, dashboard creation, and analytics.Independent Project (20 Credits)
A practical project where learners apply computing skills to a chosen area, demonstrating problem-solving and project management capabilities.
Optional Units
Select Two out of the following elective courses
Agile Transformation (10 Credits)
Introduces Agile methodologies for rapid project delivery, emphasising flexibility, team collaboration, and continuous improvement.Enterprise Resource Planning (ERP) Systems (10 Credits)
Focuses on implementing and managing ERP systems to optimize organizational efficiency and resource management.Mobile Application Development (10 Credits)
Covers the fundamentals of mobile app development, including UI/UX design, cross-platform development, and deployment.Data Analytics and Big Data (10 Credits)
Explores data processing techniques and big data tools to analyze large datasets, identify trends, and support decision-making.Networking and Infrastructure Development (10 Credits)
Focuses on designing and managing network infrastructures, covering both hardware and software aspects of connectivity.Internet of Things (IoT) (10 Credits)
Examines IoT architecture, protocols, and applications, teaching learners to integrate IoT systems within existing infrastructures.Artificial Intelligence (10 Credits)
Explores AI concepts, including machine learning algorithms and applications in automation and data analysis.Computer-based Research Methods (10 Credits)
Teaches research methodologies relevant to computing, focusing on quantitative and qualitative data collection and analysis.
Discover the various pathways and course combinations available to tailor your learning experience and achieve your goals. Click here to explore more information on your options.*
Explore the complete curriculum for this course to gain a detailed understanding of the topics covered, learning objectives, and key skills you'll develop. Click here to access the full curriculum.
Guidance on Elective Selection
Learners are encouraged to consult with the Student Advisor Office to choose electives that align with their career goals and maximise both academic and practical performance. The Student Advisor Office provides personalised guidance to ensure optimal elective selections for skill development and professional growth.
Assessment and Regulations
Assessment Approach
Each module is assessed through a combination of practical assignments, case studies, and research-based projects to measure both theoretical understanding and practical application:
Written Assignments: Required for each module to assess comprehension and application of computing theories and principles.
Practical Projects: Involves hands-on tasks that apply technical skills to real-world computing challenges.
Case Studies: Real-world scenarios where learners demonstrate problem-solving abilities and strategic thinking in computing technologies.
Grading System
Grades are awarded as Pass, Merit, or Distinction:
Pass: 40%-59%
Merit: 60%-69%
Distinction: 70% and above
Completion Requirements
Learners must achieve a minimum score of 40% in each unit to pass. Assessments are internally marked and externally moderated by ATHE for quality assurance.
Professional Development and Progression
Progress to Higher-Level Study:
Pursue a level 8 Doctor of Philosophy (PhD) or Professional Doctorate. This is the next academic step for individuals seeking to contribute original research in their field of expertise.
Some professionals pursue another master’s degree to specialise in a different area or broaden their expertise.
Employment Opportunities:
This qualification prepares graduates for roles such as:IT Project Manager
Cyber Security Analyst
Data Scientist
Software Engineer
Learners gain practical skills and insights applicable to leadership roles in the technology sector, with assignments designed to support career advancement in diverse computing fields.
Professional Development and Progression
Progress to Higher-Level Study:
Pursue a level 8 Doctor of Philosophy (PhD) or Professional Doctorate. This is the next academic step for individuals seeking to contribute original research in their field of expertise.
Some professionals pursue another master’s degree to specialise in a different area or broaden their expertise.
Employment Opportunities:
This qualification prepares graduates for roles such as:IT Project Manager
Cyber Security Analyst
Data Scientist
Software Engineer
Learners gain practical skills and insights applicable to leadership roles in the technology sector, with assignments designed to support career advancement in diverse computing fields.
Professional Development and Progression
Progress to Higher-Level Study:
Pursue a level 8 Doctor of Philosophy (PhD) or Professional Doctorate. This is the next academic step for individuals seeking to contribute original research in their field of expertise.
Some professionals pursue another master’s degree to specialise in a different area or broaden their expertise.
Employment Opportunities:
This qualification prepares graduates for roles such as:IT Project Manager
Cyber Security Analyst
Data Scientist
Software Engineer
Learners gain practical skills and insights applicable to leadership roles in the technology sector, with assignments designed to support career advancement in diverse computing fields.
Professional Development and Progression
Progress to Higher-Level Study:
Pursue a level 8 Doctor of Philosophy (PhD) or Professional Doctorate. This is the next academic step for individuals seeking to contribute original research in their field of expertise.
Some professionals pursue another master’s degree to specialise in a different area or broaden their expertise.
Employment Opportunities:
This qualification prepares graduates for roles such as:IT Project Manager
Cyber Security Analyst
Data Scientist
Software Engineer
Learners gain practical skills and insights applicable to leadership roles in the technology sector, with assignments designed to support career advancement in diverse computing fields.
Tuition Plans
"Achieve advanced qualifications with Level 7, perfect for mastering your field and advancing professionally."
Brooklyn Simmons
Admission Staff
Single Course - Level 7
Computing Technologies
£
7,950
Ideal for professionals mastering leadership and advanced skills in their field.
(You will be redirected to Application Page)
Access to Online Resources
Assessment Support and Grading
Certification upon Completion
Tuition Plans
"Achieve advanced qualifications with Level 7, perfect for mastering your field and advancing professionally."
Brooklyn Simmons
Admission Staff
Single Course - Level 7
Computing Technologies
£
7,950
Ideal for professionals mastering leadership and advanced skills in their field.
(You will be redirected to Application Page)
Access to Online Resources
Assessment Support and Grading
Certification upon Completion
Tuition Plans
"Achieve advanced qualifications with Level 7, perfect for mastering your field and advancing professionally."
Brooklyn Simmons
Admission Staff
Single Course - Level 7
Computing Technologies
£
7,950
Ideal for professionals mastering leadership and advanced skills in their field.
(You will be redirected to Application Page)
Access to Online Resources
Assessment Support and Grading
Certification upon Completion
Tuition Plans
"Achieve advanced qualifications with Level 7, perfect for mastering your field and advancing professionally."
Brooklyn Simmons
Admission Staff
Single Course - Level 7
Computing Technologies
£
7,950
Ideal for professionals mastering leadership and advanced skills in their field.
(You will be redirected to Application Page)
Access to Online Resources
Assessment Support and Grading
Certification upon Completion
FAQs
Find answers to common questions about our courses, registration, support, and opportunities to enhance your learning journey.
How is this course structured?
Each course is designed with a mix of theoretical and practical modules, offering flexible online study with clear progression pathways.
Can I combine this course with work or other commitments?
Are there assessments or exams in this course?
What support is available during my studies?
Can I continue to higher education after this course?
How is this course structured?
Each course is designed with a mix of theoretical and practical modules, offering flexible online study with clear progression pathways.
Can I combine this course with work or other commitments?
Are there assessments or exams in this course?
What support is available during my studies?
Can I continue to higher education after this course?
How is this course structured?
Each course is designed with a mix of theoretical and practical modules, offering flexible online study with clear progression pathways.
Can I combine this course with work or other commitments?
Are there assessments or exams in this course?
What support is available during my studies?
Can I continue to higher education after this course?
How is this course structured?
Each course is designed with a mix of theoretical and practical modules, offering flexible online study with clear progression pathways.
Can I combine this course with work or other commitments?
Are there assessments or exams in this course?
What support is available during my studies?
Can I continue to higher education after this course?
Embark on Your Journey
Join Richmond and explore a world of academic excellence, personal growth, and boundless possibilities.
Embark on Your Journey
Join Richmond and explore a world of academic excellence, personal growth, and boundless possibilities.
Embark on Your Journey
Join Richmond and explore a world of academic excellence, personal growth, and boundless possibilities.
Embark on Your Journey
Join Richmond and explore a world of academic excellence, personal growth, and boundless possibilities.
© Copyright 2024 - All rights reserved - Richmond College
© Copyright 2024 - All rights reserved - Richmond College
© Copyright 2024 - All rights reserved - Richmond College
© Copyright 2024 - All rights reserved - Richmond College