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 researchers and analysts who work with numbers. The program covers statistical methods and the tools used to manage and present data.
The Applied Statistics and Data Analytics program is designed for people who already work in the field. It covers statistical inference, regression analysis, data management, analytics tools, survey design, and ends with data visualization.
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
- 01Statistical inferenceExplain the core ideas of statistical inference and use them to read real situations at work.
- 02Regression analysisAnalyse a real problem in regression analysis and recommend a course of action backed by evidence.
- 03Data managementApply the methods of data management in your own organization and measure the result.
- 04Analytics toolsPlan and lead work in analytics tools, and document your decisions to a professional standard.
- 05Survey designEvaluate current practice in survey design against recognised standards and propose improvements.
- 06Data visualizationAdvise colleagues and managers on data visualization 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.
- 01Statistical inferenceEstimation, confidence intervals and hypothesis testing.Core area
- 02Regression analysisLinear and logistic regression for explaining and predicting outcomes.Core area
- 03Data managementOrganizing, cleaning and storing data for analysis.Core area
- 04Analytics toolsWorking with R, Python and spreadsheet tools for analysis.Core area
- 05Survey designDesigning questionnaires and sampling plans.Core area
- 06Data visualizationCharts and dashboards that show the right thing clearly.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 Applied Statistics and Data AnalyticsFor people who have practiced Applied Statistics and Data Analytics for years and want their competence assessed and recorded.
- 02Consultant in Applied Statistics and Data AnalyticsFor experienced people who advise organizations on Applied Statistics and Data Analytics.
- 03Trainer in Applied Statistics and Data AnalyticsFor experienced people who teach or coach others in Applied Statistics and Data Analytics at work.
- 04Diploma in Applied Statistics and Data AnalyticsA focused credential in Applied Statistics and Data Analytics, 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 analyst
- Statistician
- Business intelligence analyst
- Research officer
Roles this program relates to. A degree supports a career; it does not guarantee a position, and each employer sets its own requirements.