University of Kent United Kingdom

Computer Science (Artificial Intelligence)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon September 2026

Course Overview

The Masters Degree in Computer Science (Artificial Intelligence) at the University of Kent is designed for ambitious individuals seeking to master the principles and applications of AI. In a world increasingly driven by intelligent systems, this course equips you with the advanced knowledge to tackle complex challenges in areas like data mining, natural computation, and machine learning algorithms. You will explore how AI is transforming industries from finance to healthcare, gaining the expertise to innovate and lead within this dynamic field. This postgraduate programme is ideal for those ready to deepen their technical understanding and contribute to the future of artificial intelligence.

This full-time, on-campus Masters degree is studied over two years, offering a comprehensive curriculum that balances theoretical foundations with practical implementation. You will engage with modules such as Programming for Artificial Intelligence, Data Mining and Knowledge Discovery, and AI Systems Implementation, alongside a significant Project and Dissertation. The curriculum also provides opportunities for an industrial placement, allowing you to gain invaluable real-world experience and build professional networks. You will graduate with a robust portfolio and the specialised skills required for advanced roles in AI development, research, and data science.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Computer Science program with an Artificial Intelligence specialization will equip you with essential skills in programming, data mining, and AI systems implementation. You will explore topics such as natural computation, object-oriented programming, and problem-solving with data and text. The curriculum also includes opportunities for a placement year and a project or dissertation to deepen your expertise.

1 What you'll study

Programming for Artificial Intelligence Compulsory
Object-Oriented Programming Compulsory
Natural Computation Compulsory
Systems Architecture Compulsory
Data Mining and Knowledge Discovery Compulsory
AI Systems Implementation Compulsory
Solving Problems with Data and Text Compulsory
Project and Dissertation Compulsory
Computer Interaction and User Experience Optional
Introduction to Intelligent Systems Optional
Cyber Law Optional
Networks and Network Security Optional
Machine Learning Algorithms Optional
Algorithms and Logic Optional
Software Engineering Optional
Web-Based Information Systems Development Optional
Advanced English for Academic Study in the Applied Sciences Optional

2 Placement year

Industrial Placement Report Compulsory

3 Python Programming

4 Programming for Artificial Intelligence with Python

5 Machine Learning

6 Computer Systems

7 Web-Based Information Systems Development

8 Software Engineering

9 Project & Dissertation

10 Internet of things

11 Programming Languages: Applications and Design

12 Deep Learning

13 Introduction to Quantum Computing & Quantum Cryptography

14 Industry Placement Experience

15 Industry Placement Report

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 31,764.00
Second Year Fee Tuition fee
USD 31,764.00
Total Program Cost Estimated total tuition
USD 63,529.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 572.00 - USD 1,227.00
Food & Groceries USD 2,417.00 - USD 4,833.00
Transport USD 806.00 - USD 1,611.00
Utilities & Bills USD 1,128.00 - USD 2,095.00
Estimated Total USD 4,351.00 - USD 8,539.00

Living cost estimates are based on Canterbury Campus.

Outcomes & Employability

What happens after you graduate

95%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Aerospace Supply Chain & LogisticsAviation Maintenance & RepairBeverage Production & DistributionFood Marketing & Brand ManagementHealth, Safety & Environment (HSE)Hydropower & Alternative RenewablesIndustrial & Mechanical EngineeringProduct Design & PrototypingSupply Chain & Freight ManagementWealth Management & Financial Advisory

Top Employers Hiring for this course

Accenture

Apple

BAE System

Babcock international Group

Cisco

IBM

Oracle

Siemens

Why Study Computer Science (Artificial Intelligence) at University of Kent

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Very Fast Application response time

University of Kent typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Kent in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Computer Science (Artificial Intelligence) at University of Kent

Can I work while studying?

International students in degree courses can work up to 20 hours per week during term time and full-time during breaks. No separate work permit is needed, but part-time students cannot work.

What English language score do I need for this course?

For English language proficiency, you can provide TOEFL scores of at least 80 overall, IELTS scores of 6.0, or PTE scores of 63 overall. Specific sub-scores are also required for each test, so please check the details carefully.

What jobs can I get after studying this course?

Graduates can pursue roles such as Data Analyst, AI Engineer, Machine Learning Specialist, Software Developer, or Systems Architect.

What will I actually study in this course?

This course explores how artificial intelligence can address complex societal challenges, including applications in healthcare and finance. You'll gain essential skills to advance your career in this dynamic sector.

When can I start — what are the intake months?

Our Computer Science (Artificial Intelligence) course has an intake in September. It's designed for graduates from any discipline looking to transition into technology.
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