BSc (Hons) Computer Science (Artificial Intelligence)

Twickenham

 

INTAKE: September

Program Overview

The BSc (Hons) Computer Science (Artificial Intelligence) at St. Mary's University, Twickenham, is a specialised undergraduate degree designed to cultivate future leaders in the rapidly evolving AI landscape. This hands-on program provides a robust foundation in core computer science principles while delving deep into advanced topics integral to artificial intelligence, including machine learning, deep learning, natural language processing, and emerging AI trends. The curriculum is designed to offer significant practical experience, incorporating real-world projects, industry guest lectures, hackathons, and visits to leading tech organisations. A key feature of this program is its assessment strategy, which prioritises practical application through software projects, portfolios, and computer-based tests over traditional exams, mirroring industry practices and significantly enhancing graduate employability. Students are prepared to develop in-depth knowledge and apply it to solve complex problems using cutting-edge AI methodologies. An optional industrial placement year is available, providing further opportunities for professional experience.

Curriculum: The curriculum for the BSc (Hons) Computer Science (Artificial Intelligence) is structured to provide a comprehensive and progressive learning experience in AI. The first year establishes foundational computer science skills with modules such as Computer Systems and Networks, Mathematics for Computer Science, Programming Principles and Techniques, Database Systems, Object-Oriented Programming, 1 and Web Design and Development. As students progress, the second year introduces core AI concepts through modules like Data Structures and Algorithms, Artificial Intelligence, Machine Learning, Data Analysis, and Web Application Development, alongside a vital Team Project where students apply their skills to real-world client briefs. The final year features an Individual Project, allowing for specialisation, complemented by advanced modules such as Software Testing and Quality Assurance, Deep Learning, Advanced Topics in Computer Science, and the Internet of Things. This carefully designed curriculum ensures students gain both theoretical knowledge and practical expertise in developing and deploying AI solutions.  

Research Focus: The BSc (Hons) Computer Science (Artificial Intelligence) program at St. Mary's University is significantly informed by current research and innovation within the AI and broader computer science fields. The curriculum is shaped by experienced academics and industry professionals who integrate the latest advancements in machine learning, deep learning, natural language processing, and emerging AI technologies into teaching. Students are encouraged to develop strong analytical and research capabilities throughout the program, particularly through various practical projects, hackathons, and their culminating final-year individual project. This project often involves addressing real-world problems using AI methodologies, allowing students to engage in applied research and develop solutions with tangible impact. The university's commitment to fostering a dynamic learning environment ensures that students are exposed to the forefront of AI research and its practical applications.

Industry Engagement: Industry engagement is a core component of the BSc (Hons) Computer Science (Artificial Intelligence) program at St. Mary's University, designed to make graduates highly employable. The program actively facilitates connections with the tech industry through various hands-on opportunities. Students benefit from lectures delivered by industry guest speakers, participate in hackathons and tech meetups, and have opportunities to visit leading tech organisations and attend industry conferences. The curriculum includes practical projects, such as a second-year team project where students develop software solutions for real clients, providing direct exposure to industry practices. Furthermore, students can undertake an optional industrial placement year, offering invaluable work experience in AI and computing industries. This extensive industry integration helps students develop a thorough understanding of the sector, apply their skills to real-world scenarios, and build crucial professional networks.

Global Perspective: The BSc (Hons) Computer Science (Artificial Intelligence) program at St. Mary's University is designed with a strong global perspective, preparing graduates for the international technology landscape. The curriculum explores universal AI principles and emerging technologies that transcend geographical boundaries, such as machine learning models, natural language processing for diverse languages, and ethical AI considerations with global implications. The program's emphasis on practical, industry-aligned skills ensures that the expertise developed is highly relevant and transferable across international markets. Furthermore, the optional industrial placement year can expose students to global companies or international projects, fostering an understanding of diverse working environments and cross-cultural collaboration in the tech sector. This comprehensive approach ensures graduates are well-equipped to pursue careers in multinational corporations, international research institutions, or contribute to global AI initiatives.

Pollster Education

Location

Twickenham

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

£ 17100

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% or equivalent in their respective country's grading system.

English language proficiency:

  • IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
  • TOEFL: A minimum overall score of 80.
  • PTE Academic: A minimum overall score of 55.
  • Some programs may have specific subject prerequisites or additional requirements.

St. Mary’s University Twickenham offers a variety of scholarships to support international students in financing their education and rewarding academic achievement. These scholarships are designed to ease the financial burden and recognize the talents and hard work of students coming from all over the world.

International Student Scholarships: St. Mary’s provides International Student Scholarships for students from a range of countries. These scholarships are typically partial fee reductions, aimed at making education more affordable. Eligible students are selected based on academic merit, financial need, and their potential to contribute to the university community. The scholarships are open to both undergraduate and postgraduate international students.

Vice-Chancellor’s Scholarship: The Vice-Chancellor’s Scholarship is one of the most prestigious awards available to international students at St. Mary’s University. This scholarship offers a significant reduction in tuition fees for high-achieving students, with eligibility determined by academic performance and specific course requirements. Students from a variety of regions, including Africa, Asia, and Latin America, are encouraged to apply for this highly competitive scholarship.

Country-Specific Scholarships: In addition to general international scholarships, St. Mary’s offers country-specific scholarships for students from certain regions. These scholarships provide additional financial assistance and are designed to support students from areas where educational opportunities may be limited. International students from Asia, Africa, Europe, and the Americas are often eligible for these specialized scholarships.

Sports Scholarships: For students excelling in sports, St. Mary’s University provides Sports Scholarships. These awards are available to talented athletes who demonstrate the potential to represent the university in competitive sports. Sports scholars benefit from personalized coaching, access to state-of-the-art facilities, and financial support to help balance academic and athletic commitments.

The BSc (Hons) Computer Science (Artificial Intelligence) program at St. Mary's University, Twickenham, provides graduates with a specialised skillset in AI, machine learning, and data analysis, built upon a solid foundation of computer science principles. This hands-on degree, informed by industry practices and featuring practical assessments, prepares students for high-demand roles in the rapidly evolving AI sector. Graduates emerge with the theoretical knowledge and practical experience necessary to innovate and apply AI solutions across diverse industries.

AI Engineer: Graduates are well-equipped to design, develop, and implement artificial intelligence systems and applications. They leverage their knowledge of machine learning, deep learning, and programming to create intelligent solutions for various industries like technology, healthcare, finance, and manufacturing.

Machine Learning Engineer: Specialising in the core of AI, these professionals build, train, and deploy machine learning models and algorithms. They work on tasks such as predictive analytics, recommendation systems, and pattern recognition, using their strong grasp of statistics, programming, and AI frameworks.

Data Scientist: Combining their AI expertise with strong analytical skills, graduates can collect, clean, analyse, and interpret complex datasets to extract valuable insights. They apply machine learning techniques to identify trends, build predictive models, and support data-driven decision-making across sectors.

Natural Language Processing (NLP) Specialist: Focusing on the interaction between computers and human language, these engineers develop AI models that can understand, interpret, and generate human language. This can involve creating chatbots, translation tools, or sentiment analysis systems.

Computer Vision Engineer: Graduates can work on developing AI systems that enable computers to "see" and interpret visual information from images and videos. This includes applications in facial recognition, object detection, autonomous vehicles, and medical imaging.

Robotics Engineer: For those interested in the intersection of hardware and AI, this role involves designing, building, and programming robots that can perform automated tasks using artificial intelligence. This often requires combining AI with engineering principles to create intelligent robotic systems.

AI Research Scientist: Graduates with a passion for innovation can pursue roles in research, developing new AI technologies, algorithms, and theories. This often involves working in academia, research institutions, or R&D departments of large tech companies, pushing the boundaries of AI knowledge.

AI Ethicist/Policy Advisor: As AI becomes more pervasive, there's a growing need for professionals who can address the ethical implications of AI systems. Graduates can work to develop guidelines, policies, and responsible AI practices, ensuring AI technologies are fair, transparent, and accountable.

AI Consultant: Leveraging their comprehensive understanding of AI technologies and their applications, graduates can advise businesses on how to integrate AI solutions to improve efficiency, create new products, or solve complex problems. This requires strong analytical and communication skills to translate technical concepts into business value.

Software Engineer with AI Specialisation: Even in general software development roles, graduates with AI specialisation are highly valued. They can integrate AI components into existing software systems, optimise applications using AI techniques, and ensure the scalability and performance of AI-driven features.


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