BSc Computer Science with AI

You will develop structured programs using high-level language (Python and Java). You will apply computational thinking techniques for problem-solving and learn how to debug and test software using appropriate tools. You will also implement basic data structures and document code professionally.

You will apply linear algebra and calculus to computational problems. You will learn how to analyse algorithm efficiency using Big-O notation and solve discrete mathematics problems. You will also implement search and sorting algorithms and interpret probabilistic models.

You will develop an understanding of computer architecture principles. You will learn how to design structured software systems and apply software lifecycle models. You will also learn how to use collaborative development tools and produce technical documentation.

You will explore intelligent agents, problem-solving through search algorithms, knowledge representation and basic machine learning techniques. You will apply search and reasoning techniques to problem-solving and implement simple machine learning algorithms. You will also analyse ethical, legal, and social implications of AI.

You will learn how to apply object-oriented programming principles to software design. You will design and implement relational and non-relational databases and integrate application logic with database systems. You will also evaluate system performance and scalability and produce professional technical documentation of system architecture.

You will apply a range of machine learning algorithms to real-world datasets. You will learn how to evaluate model performance using appropriate metrics and perform data preprocessing and feature engineering. You will also learn how to interpret analytical results critically and identify bias, limitations and ethical concerns in data-driven systems.

You will design efficient algorithms for complex problems. You will learn how to analyse computational complexity using formal methods and apply optimisation techniques to computational problems. You will also learn how to evaluate feasibility and scalability of algorithmic solutions.

You will critically evaluate ethical implications of AI systems. Learn how to apply legal and governance frameworks to AI development. You will learn how to design systems using human-centred principles. You will also analyse societal impacts of computing technologies and communicate ethical arguments effectively.

You will design and implement deep learning models. You will learn how to optimise and tune neural networks. You will also gain knowledge and skills to evaluate model performance using appropriate techniques and critically analyse limitations, bias and interpretability.

You will learn how to implement natural language processing techniques. You will gain skills to evaluate NLP systems using appropriate metrics. You will also compare alternative approaches and analyse linguistic and computational challenges.

You will learn how to design scalable AI system architecture. You will gain skills to deploy AI systems using cloud platforms and implement Machine Leaning Operations practices. You will also learn how to evaluate system performance and reliability and gain skills to document deployment processes professionally.

You will apply advanced problem-solving and analytical skills to define, scope, and structure a complex AI project. Independently design, implement and evaluate a substantial computing and/or AI-based solution to a real-world or research problem. You will also communicate project aims, methods and outcomes effectively to both specialist and non-specialist audiences.