Build Your Foundation in Computing, Programming and Artificial Intelligence
The CertHE Computer Science with Artificial Intelligence is designed for students who want to develop an introduction to computing, programming and artificial intelligence.
The course provides a practical foundation in key areas of computer science, helping students develop core technical, analytical and problem-solving skills. Through hands-on learning, programming activities and practical projects, students can build the knowledge and confidence needed to progress into further study, develop their career or begin exploring opportunities within the digital sector.
Computer Science and Artificial Intelligence are transforming the technologies used every day, from mobile applications and smart devices to data-driven services and intelligent systems. This course provides an accessible introduction to these areas while developing practical skills that can support future academic and professional progression.
Course Overview
The CertHE Computer Science with Artificial Intelligence provides students with an introduction to the fundamental principles of computing and AI.
Students explore programming, algorithms, computer systems, mathematics, data and artificial intelligence while developing practical skills through activities and projects.
The course can provide a supportive route into higher education for students progressing from school, returning to education or looking to develop new technical skills.
Whether you are beginning your journey in technology or looking to build a foundation for further study, this course can help you develop essential computing and problem-solving skills.
What Will You Study?
The course consists of four core modules, each worth 30 credits.
Programming and Computational Thinking – 30 Credits
This module introduces programming and computational thinking for problem-solving.
Students develop structured programmes using high-level programming languages, including Python and Java. You will learn how to apply computational thinking techniques, debug and test software using appropriate tools, implement basic data structures and document code professionally.
Key areas include:
- Python programming
- Java programming
- Computational thinking
- Problem-solving
- Debugging and testing
- Basic data structures
- Professional code documentation
Mathematics and Algorithms for AI – 30 Credits
This module develops mathematical and algorithmic knowledge relevant to computing and artificial intelligence.
Students learn to apply linear algebra and calculus to computational problems. You will also explore algorithm efficiency using Big-O notation, solve discrete mathematics problems, implement search and sorting algorithms and interpret probabilistic models.
Key areas include:
- Linear algebra
- Calculus
- Discrete mathematics
- Algorithms
- Big-O notation
- Search algorithms
- Sorting algorithms
- Probabilistic models
Computer Systems and Software Engineering Foundations – 30 Credits
This module introduces the principles behind computer systems and software engineering.
Students develop an understanding of computer architecture and learn how to design structured software systems. You will explore software lifecycle models, collaborative development tools and the production of technical documentation.
Key areas include:
- Computer architecture
- Computer systems
- Software engineering
- Software lifecycle models
- Structured software design
- Collaborative development tools
- Technical documentation
Introduction to Artificial Intelligence and Data – 30 Credits
This module provides an introduction to artificial intelligence and data.
Students explore intelligent agents, search-based problem-solving, knowledge representation and basic machine learning techniques. You will apply search and reasoning techniques to problems and implement simple machine learning algorithms.
The module also considers the ethical, legal and social implications of artificial intelligence, helping students understand that AI involves not only technical opportunities but also important responsibilities.
Key areas include:
- Artificial intelligence
- Intelligent agents
- Search algorithms
- Knowledge representation
- Machine learning
- Data
- Reasoning techniques
- Ethical implications of AI
- Legal considerations
- Social implications of AI
How Will You Learn?
The course combines academic learning with practical, hands-on activities.
Teaching and learning may include:
- Lectures
- Seminars
- Tutorials
- Practical laboratory sessions
- Programming activities
- Practical projects
- Problem-solving exercises
- Technical activities
Students develop their knowledge through practical work in computer laboratories, applying computing, programming, mathematics, algorithms and artificial intelligence concepts to real-world challenges.
The course uses industry-relevant software and tools to help students develop confidence in their technical abilities.
How Will You Be Assessed?
Assessment is primarily coursework-based, allowing students to demonstrate their knowledge and practical development throughout the course.
Assessment may include:
- Programming portfolios
- Technical reports
- Presentations
- Practical projects
- Programming activities
- Technical assignments
This approach enables students to demonstrate both their understanding of computer science concepts and their ability to apply technical knowledge in practical situations.
Students can also build a portfolio of work that may support applications for further study or future employment.
Entry Requirements
To study the CertHE Computer Science with Artificial Intelligence, applicants will typically need:
- 56 UCAS Tariff points from a combination of acceptable Level 3 qualifications
- A maximum of six UCAS points may be accepted from Level 3 Key Skills qualifications
- GCSE English Language and Mathematics at Grade C or Grade 4 or above, or equivalent Level 2 Key Skills in Communication and Application of Number
Applicants should use the UCAS Tariff system to check the equivalent points for their qualifications.
English Language Requirements
If English is not your first language, you will need to meet the required English language standard for the course.
The stated IELTS requirement is:
IELTS 6.0 overall, with a minimum of 5.5 in each component.
Other recognised English language qualifications and tests may also be accepted, depending on the applicant’s circumstances.
Students should confirm that their qualification meets the required standard before applying.
Accreditation of Prior Learning
Accreditation of Prior Learning (APL) may allow students to receive credit towards their course for relevant learning or experience gained previously.
This may include:
- Previous learning
- Relevant work experience
If you have previously studied computing or have relevant professional experience, you may be able to receive credit for part of your course, subject to assessment and approval.
Students who believe they may be eligible for APL should discuss their previous learning or experience during the application process.
Skills You Can Develop
During the CertHE Computer Science with Artificial Intelligence, students can develop a range of technical and transferable skills, including:
- Programming
- Python
- Java
- Computational thinking
- Problem-solving
- Algorithms
- Data structures
- Data analysis
- Artificial intelligence
- Machine learning
- Computer systems
- Software engineering
- Technical documentation
- Debugging and testing
- Critical thinking
- Mathematical reasoning
- Communication
- Project work
These skills provide a foundation for continued development in computing, artificial intelligence and related digital fields.
Career and Progression Opportunities
The CertHE qualification provides a foundation for students who want to continue developing their knowledge and skills in computing and related areas.
Depending on individual circumstances and further study, students may progress towards higher-level study in areas such as:
- Computer Science
- Artificial Intelligence
- Software Development
- Data Science
- Computing
- Information Technology
- Digital Technology
The technical skills developed during the course can also provide a foundation for exploring entry-level opportunities within the wider digital and technology sector, particularly when combined with further study, experience and professional development.
Why Study Computer Science with Artificial Intelligence?
Computer science and artificial intelligence are playing an increasingly important role in modern society and business.
From mobile applications and smart devices to intelligent systems and data-driven services, computing technologies are transforming the way people live and work.
This course gives students an opportunity to develop a foundation in programming, algorithms, computer systems, data and artificial intelligence, while gaining practical experience through hands-on activities and projects.
The combination of technical knowledge and practical learning can help students develop the confidence needed to progress towards further study and future opportunities in the digital sector.
Is This Course Right for You?
The CertHE Computer Science with Artificial Intelligence may be suitable if you:
- Are interested in computers and technology
- Want to learn programming
- Are interested in artificial intelligence
- Enjoy solving problems
- Want to develop technical skills
- Are interested in software and digital technologies
- Want to understand how AI systems work
- Are returning to education
- Want a foundation for further study
- Are considering a career in the digital and technology sector
You do not need to be an experienced programmer to begin developing your knowledge, but you should be prepared to engage with programming, mathematics, logical thinking and practical problem-solving.
Course Information
Course: CertHE Computer Science with Artificial Intelligence
Qualification: Certificate of Higher Education (CertHE)
Entry Requirement: 56 UCAS Tariff points
GCSE Requirement: English Language and Mathematics at Grade C/4 or above, or equivalent Level 2 qualifications
English Language: IELTS 6.0 overall with a minimum of 5.5 in each component
Study Areas: Computing, Programming, Artificial Intelligence, Algorithms, Data and Computer Systems
Apply Through GCRD
Choosing the right course is an important step towards your future. GCRD provides students with personalised guidance when exploring higher education and career-focused study opportunities.
If you are interested in Computer Science with Artificial Intelligence, our advisers can help you understand the course, check your entry requirements and explore your options for further study and progression.
Start building your future in computing and artificial intelligence. Contact GCRD today for personalised course guidance and application support.