Please contact us to find out if you require any specific equipment for this particular course.
Mode of study
Full Time
Start date
13/09/2027
Fee
£6090.00
Entry requirements
To be considered for admission into the programme, applicants should meet the following criteria:
1. Educational Qualifications:
- 48 UCAS Tariff Points.
- Possess a Level 3 qualification in a subject related to the industry.
- Alternatively, have completed two A levels in science or technology subjects.
2. GCSE Passes:
- Possess GCSE passes in English and Maths at grade 4/C (H)
3. Mature applicants without formal qualifications, but with evidence of sufficient, relevant industrial experience will be considered. You will also be required to attend an interview with the Course Leader.
Please note that meeting these entry criteria will be essential for consideration into the programme
Teaching staff
A team of professional lecturing staff many of whom have had considerable experience in artificial intelligence.
Course Code
HTQITA1F/1
Duration
2-Year
Location
Welwyn Garden City Campus
Awarding body
Pearson Education Ltd (Formerly EDEXCEL)
Assessment
Candidates are assessed by a variety of methods, including case studies, assignments, presentations and work-based projects.
You will be provided with details of the assignment requirements for each Unit. Students will be encouraged to engage with personal and professional development, gaining formative feedback on progress towards Unit outcomes, and developing knowledge and competence in the discipline.
Summative assessment is mainly through coursework. Students will evidence their progress through written academic essays and reports, or practical activities, which will vary according to each individual Unit assessment requirements. Each Unit will carry more than one assessment task in order to meet the learning outcomes and criteria for the Unit as a whole. There are no summative written exams for this course, however in some Units, your knowledge may be formatively assessed through in class tests.
About the course
Here is an overview of what the Level 5 HND in Digital Technologies (AI Solutions and Applications) covers:
' Introduction to Artificial Intelligence: Understanding the fundamental concepts of AI, including machine learning, neural networks, natural language processing, and robotics.
Here is an overview of what the Level 5 HND in Digital Technologies (AI Solutions and Applications) covers:
- Introduction to Artificial Intelligence: Understanding the fundamental concepts of AI, including machine learning, neural networks, natural language processing, and robotics.
- Machine Learning: Learning about machine learning algorithms, training data, and model evaluation. Exploring
supervised and unsupervised learning techniques.
- Natural Language Processing (NLP): Studying how computers can understand, interpret, and generate human language. Applications include chatbots, language translation, and sentiment analysis.
- Computer Vision: Exploring image and video analysis techniques used in AI applications, including object detection, image recognition, and facial recognition.
- AI Ethics and Regulations: Understanding ethical considerations, biases, and regulations related to AI technologies and their responsible development and deployment.
- AI Programming: Learning programming languages and frameworks commonly used in AI development, such as Python and TensorFlow.
- Data Analytics and Visualization: Exploring techniques to analyse and visualize data, which is crucial for AI model training and interpretation.
- AI Solutions Development: Learning how to develop AI solutions tailored to specific industries or problems, such as healthcare, finance, marketing, and more.
- Robotics and Automation: Understanding how AI is applied in robotics and automation processes, including industrial robots and autonomous vehicles.
- AI Applications: Exploring real-world applications of AI across various sectors, such as healthcare diagnosis, recommendation systems, fraud detection, and predictive analytics.
- AI Project Management: Learning how to plan, execute, and manage AI projects, including project scope, timeline, and resource allocation.
Career options
On successful completion of this course, students may progress onto studies at Level 6
Successful completion of your chosen course could lead onto a higher level course, university or into employment.
Potential careers:
-
Computer Games Designer -
Computer Hardware Engineer -
Database Administrator -
Interactive Media Designer -
IT Product Developer -
IT Trainer -
Network Manager -
Software Developer/ Programmer -
Systems Analyst -
Technical Support Person -
Web Designer/ Developer
Course Content - What will I learn?
develops and strengthens core skills, while preparing you to study specialist.
subjects at Level 5. After studying the Level 4 units you will have sound knowledge of the basic concepts of digital technology. You will be competent in a range of subject-specific skills as well as general skills and qualities relevant to key areas of digital-technology-related business.
Year 2 - The Level 5 units give you the opportunity to specialise in a digital-technology related occupational area or to progress to degree-level study. The units prepare you to move on to specific areas of digital technologies at Level 6 or to enter employment with the qualities and abilities necessary for roles that require personal responsibility and decision making. After studying a Level 5 Higher National Diploma in Digital Technologies you will have a sound understanding of the principles in their area of specialist study and will know how to apply those principles more widely in the area of digital technologies. You will be able to perform effectively in their specialist area
Candidates are assessed by a variety of methods, including case studies, assignments, presentations and work-based projects.
You will be provided with details of the assignment requirements for each Unit. Students will be encouraged to engage with personal and professional development, gaining formative feedback on progress towards Unit outcomes, and developing knowledge and competence in the discipline.
Summative assessment is mainly through coursework. Students will evidence their progress through written academic essays and reports, or practical activities, which will vary according to each individual Unit assessment requirements. Each Unit will carry more than one assessment task in order to meet the learning outcomes and criteria for the Unit as a whole. There are no summative written exams for this course, however in some Units, your knowledge may be formatively assessed through in class tests.
You will be provided with details of the assignment requirements for each Unit. Students will be encouraged to engage with personal and professional development, gaining formative feedback on progress towards Unit outcomes, and developing knowledge and competence in the discipline.
Summative assessment is mainly through coursework. Students will evidence their progress through written academic essays and reports, or practical activities, which will vary according to each individual Unit assessment requirements. Each Unit will carry more than one assessment task in order to meet the learning outcomes and criteria for the Unit as a whole. There are no summative written exams for this course, however in some Units, your knowledge may be formatively assessed through in class tests.