MSc APPLIED ARTIFICIAL INTELLIGENCE

1 Years On Campus Masters Program

London South Bank University

Program Overview

The MSc Applied Artificial Intelligence at London South Bank University turns graduates — even those without strong computing backgrounds — into AI practitioners able to build and deploy machine-learning, computer-vision or NLP systems for real-world problems. It suits students from varied academic backgrounds who want practical AI skills and flexibility to branch into sectors like industry 4.0, data science or automation.

Curriculum Structure
In the first phase, students learn fundamentals via Foundations of Calculus, Statistics & Optimisation and Introduction to Programming, equipping them with the maths and Python skills required for AI development. Then core modules such as Machine Learning and Deep Learning train students in algorithmic modelling, neural networks and data-driven AI solutions. As the course progresses, they explore specialisations like Natural Language Processing, Computer Vision & Pattern Recognition, and Industrial Cyber-Physical Systems, enabling them to apply AI methods to language tasks, image/video analysis or industry-scale automation. Finally, students undertake a substantial Dissertation / Project, where they design, implement and evaluate an AI or robotics-based solution of their own choosing.

Focus areas:
“machine learning, deep learning, computer vision, natural language processing, AI for industry (Industry 4.0), data-driven systems, applied AI project work”

Learning outcomes:
“Ability to program in Python and implement AI/ML algorithms; build and deploy deep-learning, vision or NLP models; apply AI in industrial, data or real-world settings; design and manage a full AI research or development project; adapt to diverse domains using AI.”

Professional alignment (accreditation):
The course is designed to meet industry demand for AI-skilled professionals; it includes practical tools, optional work placement routes and aims for recognition by the British Computer Society (BCS).

Reputation (employability):
Graduates are eligible for roles such as AI engineer, ML/data scientist, computer-vision or NLP developer; the programme’s emphasis on wide applicability, industry-standard tools, and optional placement enhances employability in data-intensive or AI-driven sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects in LSBU's specialist computing laboratories, applying AI and machine learning techniques to solve real-world industrial and commercial problems. The programme utilises the University's high-performance computing infrastructure and industry-standard software to develop deployable AI solutions, with a strong emphasis on practical application over theoretical research. This career-focused learning is central to the curriculum and is delivered through:

Core Software & Programming: Intensive use of Python and key AI/ML libraries and frameworks, including TensorFlow, Keras, PyTorch, and Scikit-learn.
Computing Facilities: Access to LSBU's High-Performance Computing (HPC) resources and dedicated computing labs for data-intensive processing and model training.
Applied Projects: Practical coursework and projects focused on developing AI solutions for business problems in sectors like finance, retail, and healthcare.
Research Project: An individual MSc project with a strong applied focus, requiring the development of a functional AI system or a solution to a specific industry problem.
Group Work: Collaborative team projects simulating real-world development environments, focusing on building integrated AI applications.

Progression & Future Opportunities

Graduates of the MSc Applied Artificial Intelligence at London South Bank University gain practical expertise in machine learning, computer vision, and NLP, securing roles as business intelligence specialists, data analysts, AI developers, and machine learning engineers:

Employability services offer CV writing, interview techniques, and job placements with partners like Microsoft and SAS.
High graduate employability in tech/manufacturing; salaries £30,000–£50,000.
Industry collaborations provide real-world projects in smart manufacturing and Industry 4.0.
Training in Python, deep learning, ethics ensures long-term AI specialist skills.
Graduates complete dissertations and gain work experience for immediate industry impact.

Further Academic Progression: Graduates pursue PhDs in AI or advanced research roles for leadership in tech innovation.