B
Bachelor’s degree
- Length
- 120 credit hours, normally 40 courses of three credit hours, including a graduation project.
- Entry
- A secondary school certificate or its equivalent, and documented work experience in the field.
- Status
- In preparation
- Levels
- Bachelor's · Master's
- Credit hours
- 120 / 36
- Delivery
- Fully online
- Experience
- Assessed course by course
- Status
- In preparation
Overview
About the program
For developers, analysts and technical staff who already work with software or data. You study how intelligent systems are designed and trained, how their results are checked, and how they are used responsibly in real organizations.
The Artificial Intelligence program is designed for people who already work in the field. It covers programming for AI, mathematics for machine learning, machine learning, deep learning and language models, AI systems in production, and ends with ethics and governance of AI.
Like every Madison program, it is built for working adults. Courses you already master through your work are tested and recorded with a grade; the rest you study online, at your own pace, with tasks carried out in your own workplace.
In preparation. This program is not open for enrollment yet. It opens when its curriculum and courses are in place on the learning platform.
Outcomes
What you will be able to do
- 01Programming for AIExplain the core ideas of programming for AI and use them to read real situations at work.
- 02Mathematics for machine learningAnalyse a real problem in mathematics for machine learning and recommend a course of action backed by evidence.
- 03Machine learningApply the methods of machine learning in your own organization and measure the result.
- 04Deep learning and language modelsPlan and lead work in deep learning and language models, and document your decisions to a professional standard.
- 05AI systems in productionEvaluate current practice in AI systems in production against recognised standards and propose improvements.
- 06Ethics and governance of AIAdvise colleagues and managers on ethics and governance of AI in clear, well-structured writing.
Curriculum
What you will study
The main areas of the curriculum. Your personal study plan lists the exact courses, their credit hours and those you may claim through assessment.
- 01Programming for AIPython and the libraries used to build and test AI systems.Core area
- 02Mathematics for machine learningLinear algebra, calculus and probability as used in machine learning.Core area
- 03Machine learningSupervised and unsupervised learning, model evaluation and common pitfalls.Core area
- 04Deep learning and language modelsNeural networks, transformers and how large language models work.Core area
- 05AI systems in productionDeploying, monitoring and maintaining AI systems that real users depend on.Core area
- 06Ethics and governance of AIPolicies, risk controls and accountability for AI in organizations.Core area
Levels
Levels, length and entry
M
Master’s degree
- Length
- 36 credit hours, 12 courses, including an applied project drawn from your own workplace.
- Entry
- A bachelor’s degree or its equivalent, and professional experience related to the program.
- Status
- In preparation
Your experience
How your experience counts
- 01
Send your record
Your CV, certificates and evidence of work are mapped to the courses of this program.
- 02
Sit the course tests
Each course you claim is tested on its own. A pass is recorded on your transcript with its grade.
- 03
Study the rest
The remaining courses become your personal plan, with an expected end date in writing.
Professional titles
The field, by title
Beside the degree, this field is planned as a professional credential, with the title written before it. A title is not a degree. How titles work.
- 01Expert in Artificial IntelligenceFor people who have practiced Artificial Intelligence for years and want their competence assessed and recorded.
- 02Consultant in Artificial IntelligenceFor experienced people who advise organizations on Artificial Intelligence.
- 03Trainer in Artificial IntelligenceFor experienced people who teach or coach others in Artificial Intelligence at work.
- 04Diploma in Artificial IntelligenceA focused credential in Artificial Intelligence, based on assessed knowledge and evidence of practice.
In preparation. No title is open yet; the requirements are published when it opens.
Careers
Where this program is used
- AI engineer
- Machine learning developer
- AI product specialist
- AI project lead
Roles this program relates to. A degree supports a career; it does not guarantee a position, and each employer sets its own requirements.