BSc (Hons) Computer Science and Artificial Intelligence

3 Years On Campus Bachelors Program

Kingston University London

Program Overview

Kickstart your career with the Computer Science and Artificial Intelligence BSc (Hons) course from Kingston University. Computing qualifications are incredibly versatile and enable graduates to find employment in a wide spectrum of careers.

This course combines the two subjects to enable graduates to enter the workforce with a depth of sought-after knowledge.

On our Computer Science and Artificial Intelligence BSc (Hons) degree, you will benefit from the latest facilities, including:

  • computing laboratories, fully equipped with fold-flat LCD screens, data-projection systems and high-spec processors
  • state-of-the-art hardware software, including:
    • development software and tools - such as Linux, Microsoft.net, Dreamweaver, Flash 11, Eclipse, Java 2 Standard and Mobile Editions, tools for Motorola and Nokia phones, UML and CASE tools and NXP Processors Development Kits
    • Maple, Matlab and SAS (mathematics and statistics software packages)
    • Digital Signal Processors (dsPIC Digital Signal Controllers)
    • a mix of wireless LAN technologies
    • subject libraries, online database subscriptions and resource materials
  • our dedicated team of IT technicians

Our Computer Science and Artificial Intelligence BSc (Hons) course is ideal for students who want to develop their understanding of computing, mathematics and statistical techniques through the lens of artificial intelligence. With a balance of solid theory and practical application, this course will build your specialist technical knowledge in relevant areas of statistics, data analysis, probability and programming.

To further set the material in context, as well as inspire our students, we invite leading practitioners from industry, such as Google and IBM, to give guest lectures and workshops. You will work on topical and relevant case studies, so you can apply your skills to real-world problems.

The BSc (Hons) Computer Science and Artificial Intelligence at Kingston University London is a strong choice for students looking to build a career in AI, machine learning, and software development. Here’s why this program stands out:

1. AI-Focused Curriculum

  • Covers machine learning, deep learning, neural networks, computer vision, and natural language processing (NLP).

  • Hands-on experience with Python, TensorFlow, PyTorch, R, and cloud AI platforms.

  • Includes core computer science topics like software development, databases, and cybersecurity.

2. Practical, Career-Oriented Learning

  • Strong focus on problem-solving, AI model development, and data-driven applications.

  • Final-year AI project to apply skills in a real-world scenario.

  • Option for a placement year to gain industry experience in AI or software development.

3. Industry Connections & Employability

  • Kingston University has industry links with tech firms, AI startups, and research institutions.

  • Prepares students for roles as AI Engineers, Data Scientists, Machine Learning Developers, and Software Engineers.

  • Strong employability in industries like healthcare, fintech, gaming, and robotics.

4. Cutting-Edge Facilities & Research

  • Access to AI labs, cloud computing resources, and high-performance computing clusters.

  • Learn from research-active faculty in AI, machine learning, and automation.

5. Flexible & Supportive Learning Environment

  • Smaller class sizes provide personalized learning and mentorship.

  • A diverse, inclusive learning environment with opportunities for collaborative projects.

6. Strong Career Prospects & Further Study

  • High demand for AI professionals across tech, finance, healthcare, and research sectors.

  • Excellent foundation for MSc in AI, Data Science, or Robotics.

Program Key Stats

£18,500
Sept Intake : 30th Jun


Yes

Eligibility Criteria

BBC
2.8
NA
70

1050
23
6.0
NA

Additional Information & Requirements

Career Options

  • Software engineer
  • User experience designer
  • Usability engineer
  • System analyst
  • Technical analyst
  • Data Analyst
  • Security analysis
  • Data scientist

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