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4 Years On Campus Bachelors Program
Coventry University LondonThe Computer Science with Artificial Intelligence MSci at Coventry University is perfect for anyone curious about how intelligent systems work and how to create them. You'll explore everything from machine learning to data science, gaining both the theory and hands-on skills needed to build real-world AI solutions.
Curriculum Structure
Year 1: Foundations of Computing and AI
In your first year, you’ll get a solid grounding in computer science and AI. Modules like Programming: Concepts and Algorithms, Computer Systems, and Working with Data will help you learn how software works, how computers are structured, and how to handle and interpret data. This year is all about building the skills you’ll need for more advanced studies.
Year 2: Advanced AI Techniques and Software Development
Year two dives deeper into AI and software development. You’ll study Artificial Intelligence, Advanced Algorithms, and Data Science, learning about reasoning, predictive modeling, and how to turn data into insights. Practical projects help you apply your knowledge to real-world problems.
Year 3: Professional Practice and AI Applications
In year three, you start applying your skills in professional settings. Modules like Professional Practice in Computing and your individual project give you experience in project management, teamwork, and ethical AI development. Many students also get the chance to work with industry partners, giving a taste of the workplace before you graduate.
Year 4 : Research and Innovation in AI
The fourth year focuses on research and innovation. Modules such as Research Methods in Computing and Advanced AI Topics let you tackle a major research project, exploring cutting-edge AI ideas. This year prepares you for R&D roles or even further academic study, giving you the chance to lead in AI innovation.
Focus Areas
Artificial Intelligence, Machine Learning, Data Science, Software Development, Professional Practice
Learning Outcomes
You’ll finish the program able to write robust code, create intelligent software, solve complex problems with AI, and work effectively in teams. You’ll also understand professional and ethical standards in computing, ready to contribute confidently in any workplace.
Professional Alignment
The program is designed with industry standards in mind, preparing you for professional certifications and roles in AI and computer science.
Reputation
Coventry University is known for producing highly employable graduates. Strong industry links, hands-on learning, and a focus on real-world skills mean that AI and computing students leave ready to make an impact.
At Coventry University, the Computer Science with Artificial Intelligence MSci program is all about learning by doing. You won’t just study theory — you’ll get hands-on experience with real-world projects, work closely with peers and industry partners, and explore state-of-the-art facilities that bring your ideas to life. These opportunities help you build practical skills in problem-solving, teamwork, and innovation, making you ready for a career in AI and computing.
Here’s how you’ll gain practical experience:
Cisco Lab – Work on networking setups and gain experience that can lead to Cisco certification.
Virtual Labs – Simulate real IT environments and test your solutions in a safe, digital space.
Games Technology Lab – Explore game development and virtual reality on high-performance machines.
Professional Practice Modules – Apply software development skills on collaborative projects with your peers.
Individual AI Projects – Turn your ideas into real applications, integrating AI techniques and data science.
Industry Collaborations – Work alongside companies on projects and internships, gaining insight into professional practice.
Sigma Centre – Access support in mathematics and statistics to sharpen your analytical skills.
These experiences ensure that by the time you graduate, you’ll not only understand AI but also know how to apply it in real-world scenarios.
Graduates from the Computer Science with Artificial Intelligence MSci at Coventry University leave ready to jump straight into exciting careers in tech. With skills in AI, machine learning, and data science, alumni often find themselves in roles such as:
AI Specialist
Data Scientist
Machine Learning Engineer
Software Developer
These roles are in high demand across sectors like technology, finance, healthcare, and engineering. Coventry University supports you every step of the way to make this transition smooth and successful:
Career Services – Get one-on-one career guidance, CV workshops, and interview prep to give you a competitive edge.
Industry Partnerships – Work with leading tech companies on internships and real-world projects, gaining experience that employers value.
Alumni Network – Connect with a global network of graduates for mentorship and job opportunities.
Accreditation & Recognition – The program is designed to meet industry standards, ensuring your qualification is respected worldwide.
Graduation Outcomes:
Employment Rate – 100% of UK-resident Computer Science graduates are employed in England after graduation.
Average Salary – Graduates earn around £32,000 on average 15 months after completing their degree.
Further Academic Progression:
After finishing the MSci program, you could continue your studies to specialize even further:
MSc in Artificial Intelligence – Deepen your expertise in AI and advanced machine learning.
PhD in Computer Science – Get involved in cutting-edge research and innovation.
Professional Certifications – Gain additional qualifications in areas like cloud computing, cybersecurity, or data analytics.
With these opportunities, you can build a career that’s not just successful, but also exciting and future-proof.
A-level - ABB to include one from Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology. Excludes General Studies.IB - 31 to include one from Mathematics, Physics, Chemistry, Design Technology or IT at Higher level.GCSE - GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards.IELTS: 6.0 overall, with no component lower than 5.5India - Applicants should have an overall score of at least 60% in Standard XII, with a minimum of 65% in Mathematics and 65% in one of the following subjects: Physics, Chemistry, Electronics, Engineering, Further Mathematics, Computer Science, Computing, or Design Technology.USA - High School Diploma with a minimum GPA of 3.0, plus either SAT scores of 550 in each band, ACT scores of 25 in each band, or 2 Advanced Placement (AP) exams with a minimum score of 3.0.The course includes an optional sandwich year, so the total duration will be five years.AI SpecialistData ScientistMachine Learning EngineerSoftware DeveloperRobotics EngineerBusiness Intelligence AnalystComputer Vision EngineerNatural Language Processing (NLP) EngineerCybersecurity AnalystSystems ArchitectCloud Solutions EngineerResearch Scientist in AIAI Product ManagerData EngineerSoftware Development Consultant
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