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 · Doctorate
- Credit hours
- 120 / 36 / 54
- Delivery
- Fully online
- Experience
- Assessed course by course
- Status
- In preparation
Overview
About the program
A master's program for analysts and developers who work with data. You study the statistics, the models and the engineering needed to put them to use responsibly.
The Data Science and Artificial Intelligence program is designed for people who already work in the field. It covers statistics for data science, machine learning, data engineering, data visualization, AI applications in business, and ends with ethics of data and 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
- 01Statistics for data scienceExplain the core ideas of statistics for data science and use them to read real situations at work.
- 02Machine learningAnalyse a real problem in machine learning and recommend a course of action backed by evidence.
- 03Data engineeringApply the methods of data engineering in your own organization and measure the result.
- 04Data visualizationPlan and lead work in data visualization, and document your decisions to a professional standard.
- 05AI applications in businessEvaluate current practice in AI applications in business against recognised standards and propose improvements.
- 06Ethics of data and AIAdvise colleagues and managers on ethics of data and 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.
- 01Statistics for data scienceProbability, inference and the statistics behind data-driven decisions.Core area
- 02Machine learningSupervised and unsupervised learning, model evaluation and common pitfalls.Core area
- 03Data engineeringCollecting, cleaning and storing data in reliable pipelines.Core area
- 04Data visualizationCharts and dashboards that show the right thing clearly.Core area
- 05AI applications in businessReal use cases of AI in operations, marketing and finance.Core area
- 06Ethics of data and AIPrivacy, fairness and accountability in the use of data and AI.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
D
Doctorate
- Length
- 54 credit hours, 12 advanced courses and an applied research project in your field.
- Entry
- A master’s degree or its equivalent, and senior professional or research experience.
- 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 Data Science and Artificial IntelligenceFor people who have practiced Data Science and Artificial Intelligence for years and want their competence assessed and recorded.
- 02Consultant in Data Science and Artificial IntelligenceFor experienced people who advise organizations on Data Science and Artificial Intelligence.
- 03Trainer in Data Science and Artificial IntelligenceFor experienced people who teach or coach others in Data Science and Artificial Intelligence at work.
- 04Diploma in Data Science and Artificial IntelligenceA focused credential in Data Science and 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
- Data scientist
- Data analyst
- Machine learning engineer
- Analytics manager
Roles this program relates to. A degree supports a career; it does not guarantee a position, and each employer sets its own requirements.