MSc in Applied Artificial Intelligence

Artificial Intelligence (AI) is transforming the way organisations operate, make decisions and solve complex problems. From healthcare and agriculture to finance, education, manufacturing and public administration, AI technologies are creating new opportunities for innovation, efficiency and sustainable development.

The Master of Science in Applied Artificial Intelligence (MSc Applied AI) at Mzuzu University is designed to develop highly skilled professionals capable of designing, developing, implementing and evaluating intelligent systems that address real-world challenges.

Offered by the Department of Information and Communication Technology under the Faculty of Science, Technology and Innovation, the programme combines advanced theoretical knowledge with practical applications in Artificial Intelligence, machine learning, data science and emerging technologies.

Particular emphasis is placed on applying AI to Malawi’s development priorities, including agricultural productivity, healthcare delivery, education, financial services and improved public-service delivery. The programme also promotes responsible AI practices, ethical technology development, data protection and effective AI governance.

MK 3,500,000 (Malawian)USD 3,500 SADC · USD 5,000 other

Mzuzu University Main Campus

MSc; Postgraduate Diploma as fall-back

Face-to-face (continuous or block-release) or fully online

The programme offers an opportunity to develop advanced technical and research capabilities in one of the fastest-growing areas of technology.

Students benefit from:

• Practical AI skills: Develop the ability to design, implement and deploy AI-powered solutions.
• Industry-relevant knowledge: Explore applications of AI in agriculture, healthcare, finance, education and other sectors.
• Emerging technologies: Gain exposure to machine learning, neural networks, computer vision, robotics and natural language processing.
• Responsible AI: Understand the ethical, security, privacy and governance considerations associated with AI.
• Research and innovation: Develop the capacity to undertake independent research and contribute to technological innovation.
• Development-oriented learning: Apply AI technologies to challenges affecting Malawi, Africa and the wider global community.

The programme provides an interdisciplinary foundation in computer science, data science and Artificial Intelligence.

Students will develop competencies in: Statistical techniques and data analysis, Data modelling and security, Applied machine learning, AI ethics, security and governance, Python programming for scientific applications, Applied data mining, Computer vision and robotics, Natural language processing, Research methods and independent research.

The programme is organised over two academic years.

Year One – Coursework

Students undertake advanced coursework covering the theoretical and practical foundations of Artificial Intelligence, including statistical techniques, machine learning, data mining, computer vision, robotics and natural language processing.

Year Two – Research

Students undertake a supervised research project, applying advanced AI knowledge to an identified problem. Research activities are subject to approval by the University’s Ethics and Research Committee.

Applicants should possess a first degree from an accredited higher learning institution in one of the following or related disciplines:

• Computer Science.

• Data Science.

• Mathematics.

• Information Technology.

• Software Engineering.

• Electrical and Electronics Engineering.

Applicants are also expected to have foundational knowledge of programming and mathematical concepts.

The programme is suitable for graduates and professionals interested in developing advanced expertise in Artificial Intelligence and applying intelligent technologies to organisational, industrial and societal challenges.

It is particularly relevant to individuals working or aspiring to work in technology, data science, research, telecommunications, financial services, agriculture, healthcare and public administration.