BSc (Hons) Computer Science (Artificial Intelligence)

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education or equivalent with a minimum overall average of 60% or above.  

English Language Proficiency: 

• IELTS: Overall score of 6.0, with no sub-score below 5.5.
• TOEFL: Overall score of 79, with a minimum score of 19 in each section.
• PTE Academic: Overall score of 57, with no sub-score below 50.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

Keele University offers a range of scholarships and financial support options to attract and assist international students in pursuing their studies. These scholarships are designed to recognize academic excellence, promote diversity, and provide financial assistance to deserving students.

International Excellence Scholarship: The International Excellence Scholarship is awarded to high-achieving international undergraduate students. The scholarship provides a tuition fee discount of up to £2,500 per year for the duration of the undergraduate program. Eligibility is based on academic merit and applicants are automatically considered when they submit their application for admission.

Keele International Student Scholarship: The Keele International Student Scholarship is available to international students enrolling in a postgraduate taught master's degree program. The scholarship provides a tuition fee discount of up to £3,000. Eligibility is based on academic achievement, and applicants are automatically considered when they apply for their chosen postgraduate program.

Commonwealth Shared Scholarship Scheme: Keele University participates in the Commonwealth Shared Scholarship Scheme, which is funded by the UK government. The scheme provides full tuition fees, airfare, and living expenses for students from developing Commonwealth countries. The scholarship is available for selected master's degree programs in specific fields of study.

Global Excellence Scholarship: The Global Excellence Scholarship is awarded to international students who have demonstrated outstanding academic achievement and contribute to the global community. The scholarship provides a tuition fee discount of up to £5,000 for the first year of study. Eligibility is based on academic merit, and applicants are automatically considered when they apply for an eligible undergraduate or postgraduate program.

Country-Specific Scholarships: Keele University also offers scholarships specifically tailored to students from certain countries or regions. These scholarships may vary in terms of eligibility criteria and funding amounts. Examples include the Keele Nigeria Scholarship and the Keele ASEAN Scholarships, which provide financial support to students from Nigeria and Southeast Asia, respectively.

It's important to note that scholarship availability and eligibility criteria may vary each year.

The BSc (Hons) Computer Science (Artificial Intelligence) program at Keele University equips graduates with a strong foundation in computer science principles and specialized skills in artificial intelligence (AI). This unique combination prepares students for a range of exciting career opportunities at the forefront of technological innovation. 

1. AI Research Scientist: Graduates can pursue roles as AI research scientists, working in research institutions, universities, or private companies. They conduct cutting-edge research to advance the field of AI, develop new algorithms, and apply AI technologies to solve complex problems.

2. Machine Learning Engineer: With expertise in AI, graduates can become machine learning engineers. They design, build, and deploy machine learning models and systems for tasks such as image recognition, natural language processing, and recommendation systems. Machine learning engineers play a key role in developing AI-powered applications.

3. Data Scientist: Graduates can work as data scientists, leveraging AI techniques to analyze large datasets, extract insights, and build predictive models. Data scientists are in demand across various industries, including finance, healthcare, e-commerce, and more.

4. AI Software Developer: AI-focused graduates can pursue careers as AI software developers, specializing in designing and implementing AI-driven applications and systems. They work with AI libraries and frameworks to create intelligent software solutions.

5. Robotics Engineer: With a background in computer science and AI, graduates can explore opportunities in robotics engineering. They design and develop robotic systems capable of autonomous operation, integrating AI technologies for perception and decision-making.

6. Natural Language Processing (NLP) Specialist: Graduates with a focus on AI and NLP can work as specialists in natural language processing. They develop algorithms and models for speech recognition, language translation, chatbots, and sentiment analysis.

7. AI Ethicist: As AI technologies become more prevalent, there is a growing need for professionals who understand the ethical implications of AI. Graduates can specialize in AI ethics, ensuring that AI systems are developed and deployed responsibly.

8. Consultant: Graduates may work as AI consultants, advising businesses on AI strategy, implementation, and optimization. They help organizations leverage AI to improve efficiency, innovation, and competitiveness.