Combine Computer Science with Advanced Artificial Intelligence Skills

The BSc (Hons) Computer Science with Artificial Intelligence is a three-year degree designed for students who want to develop strong computing knowledge alongside specialist expertise in artificial intelligence.

The course combines core areas of computer science, including programming, algorithms, software development, data management and computer systems, with advanced areas of artificial intelligence, machine learning, deep learning and natural language processing.

As you progress through the programme, you will develop the ability to design, develop and deploy intelligent systems and apply your technical knowledge to real-world challenges. The combination of theoretical knowledge and practical experience prepares students for a wide range of careers across software development, artificial intelligence and emerging technology industries.

What is Computer Science with Artificial Intelligence?

Computer Science with Artificial Intelligence combines the fundamental principles of computing with the development and application of intelligent technologies.

Students begin by developing core programming, computational and computer systems knowledge before progressing into more specialist areas of AI.

The course provides opportunities to explore:

• Programming
• Software development
• Algorithms
• Computer systems
• Data management
• Machine learning
• Deep learning
• Natural language processing
• Intelligent systems
• AI systems engineering
• Cloud deployment

This progressive structure allows students to develop their technical abilities from fundamental concepts through to advanced AI applications.

What Will You Study?

The programme consists of core modules across three years, with each module carrying 30 credits.

Year 1

Programming and Computational Thinking – 30 Credits

Develop structured programmes using high-level programming languages, including Python and Java. You will learn computational thinking techniques for problem-solving and develop skills in debugging and testing software. You will also implement basic data structures and learn how to document code professionally.

Mathematics and Algorithms for AI – 30 Credits

Develop mathematical and algorithmic knowledge relevant to artificial intelligence and computing. You will apply linear algebra and calculus to computational problems, analyse algorithm efficiency using Big-O notation, solve discrete mathematics problems and implement search and sorting algorithms. You will also explore and interpret probabilistic models.

Computer Systems and Software Engineering Foundations – 30 Credits

Develop an understanding of computer architecture and the foundations of software engineering. You will learn how to design structured software systems, apply software lifecycle models, use collaborative development tools and produce technical documentation.

Introduction to Artificial Intelligence and Data – 30 Credits

Explore the fundamental concepts of artificial intelligence and data. You will study intelligent agents, search algorithms, knowledge representation and basic machine learning techniques. You will also apply search and reasoning techniques to problem-solving and examine the ethical, legal and social implications of AI.

Year 2

Object-Oriented Design and Database Systems – 30 Credits

Develop your understanding of object-oriented approaches to software design alongside database systems and data management.

Machine Learning and Data Analytics – 30 Credits

Explore machine learning techniques and the use of data analytics to develop intelligent solutions and identify meaningful patterns within data.

Algorithms, Complexity and Optimisation – 30 Credits

Develop more advanced knowledge of algorithms, computational complexity and optimisation techniques for solving complex computing problems.

Responsible AI, Ethics and Human-Centred Computing – 30 Credits

Explore the responsible development and use of artificial intelligence, considering ethical principles, human interaction and the wider impact of AI technologies.

Year 3

Deep Learning and Intelligent Systems – 30 Credits

Explore advanced artificial intelligence through deep learning and intelligent systems, developing knowledge of how sophisticated AI solutions can be designed and applied.

Natural Language Processing and Advanced AI Applications – 30 Credits

Develop knowledge of natural language processing and explore advanced applications of artificial intelligence in real-world contexts.

AI Systems Engineering and Cloud Deployment – 30 Credits

Explore how AI systems can be engineered and deployed using modern technologies and cloud-based environments.

Capstone AI Innovation Project – 30 Credits

Complete an independent AI-focused project that brings together the knowledge and skills developed throughout the programme. You will have the opportunity to design, develop and evaluate an AI-based solution while demonstrating your technical and problem-solving abilities.

How Will You Learn?

The course combines theoretical study with practical and hands-on learning.

Teaching and learning may include:

• Lectures
• Seminars
• Practical laboratory sessions
• Workshops
• Tutorials
• Independent study
• Coding activities
• Software development projects
• Problem-solving exercises
• Collaborative learning

Throughout the programme, you will apply computing concepts to realistic challenges and develop confidence in programming, data analysis, machine learning and AI development.

The course places a strong emphasis on applied learning, using industry-standard tools, technologies and datasets. As you progress, you will undertake increasingly complex projects designed to reflect professional computing practice.

In your final year, the Capstone AI Innovation Project provides an opportunity to independently design, develop and evaluate an AI-based solution.

Entry Requirements

To study the BSc (Hons) Computer Science with Artificial Intelligence, you will typically need:

• 112 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

Students can use the UCAS Tariff system to determine how their qualifications translate into UCAS points.

Applicants with other qualifications may also be considered, subject to the relevant admissions requirements.

English Language Requirements

If English is not your first language, you will need to meet the required English language standard.

The stated IELTS requirement is:

IELTS 6.0 overall, with a minimum of 5.5 in each component.

A range of other recognised English language tests and qualifications may also be accepted.

Students should confirm that their qualification meets the required English language standard before applying.

Accreditation of Prior Learning

Accreditation of Prior Learning (APL) may allow students to receive credit towards their course for relevant knowledge or experience gained previously.

This may include:

• Previous learning
• Relevant work experience

APL could mean that a student may not need to study certain parts of the programme, including individual modules, depending on the assessment of their previous learning or experience.

Students who believe they may be eligible for APL should discuss this during the application process.

Skills You Can Develop

Throughout the degree, students can develop a wide range of technical, analytical and professional skills, including:

• Python programming
• Java programming
• Software development
• Computational thinking
• Algorithms
• Data structures
• Database systems
• Machine learning
• Deep learning
• Natural language processing
• Data analytics
• Artificial intelligence
• Intelligent systems
• Cloud deployment
• Software engineering
• Problem-solving
• Critical thinking
• Technical documentation
• AI ethics and responsible computing

These skills can provide a strong foundation for working in the rapidly developing technology sector.

Career Opportunities

The combination of computer science and artificial intelligence skills can open opportunities across a wide range of technology and digital industries.

Graduates may pursue careers such as:

• Software Developer
• Software Engineer
• AI Developer
• Artificial Intelligence Engineer
• Machine Learning Engineer
• Data Analyst
• Data Scientist
• AI Systems Engineer
• Machine Learning Specialist
• Computer Systems Developer
• Database Developer
• AI Consultant
• Technology Consultant
• Software Development Specialist

The course can also provide a foundation for further study and professional development in computer science, artificial intelligence, machine learning, data science and related disciplines.

Why Study Computer Science with Artificial Intelligence?

Artificial intelligence is transforming industries and creating new opportunities across technology, business, healthcare, finance, manufacturing and many other sectors.

This degree allows students to develop a broad foundation in computer science while progressing into specialist areas of AI.

From programming and algorithms to machine learning, deep learning, natural language processing and intelligent systems, students can develop skills relevant to the technologies shaping the future.

The strong emphasis on practical projects and real-world applications also allows students to develop experience applying their knowledge rather than relying solely on theoretical study.

Is Computer Science with AI Right for You?

This course may be suitable if you:

• Are interested in computers and technology
• Want to learn programming
• Are interested in artificial intelligence
• Enjoy mathematics and logical problem-solving
• Want to understand how AI systems work
• Are interested in machine learning
• Want to develop software and intelligent applications
• Enjoy working with data
• Want to develop advanced technical skills
• Are considering a career in the technology sector

Course Information

Course: BSc (Hons) Computer Science with Artificial Intelligence
Duration: 3 years
Study Areas: Computer Science, Programming, Artificial Intelligence, Machine Learning, Data, Software Development and Intelligent Systems
Entry Requirement: 112 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

Apply Through GCRD

Choosing the right technology degree is an important decision for your future career. GCRD provides students with personalised guidance and support when exploring higher education opportunities.

If you are interested in studying Computer Science with Artificial Intelligence, our advisers can help you understand the course, check your entry requirements, explore your study options and guide you through the application process.

Start your journey towards a career in computer science, artificial intelligence and emerging technology. Contact GCRD today for personalised course guidance and application support.