Accredited Programme – Application

  • Institution Information
  • Contact Details
  • Course Details
  • Accreditation Criteria
  • Content Criteria

Institution Details


Contact Details

When applying to accredit a course or program, your institution is required to provide contact details for two members of staff to manage the accreditation. These staff will be contacted by the IoA with updates on our services, changes to our accreditation scheme, and reminders about renewals and re-accrediation.


Contact One


Contact Two


Program Detail

Information about courses for which accreditation is sought


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Accreditation Criteria

Course Criteria


Tick all that apply
is subject to external course moderation
has a clear, written complaints procedure
complies with the IoA Code of Ethics and Practice
has a policy for cease of training before graduation

Staff Criteria


Tick all that apply
Monitor all trainers and supervisors
Oversee admission processes
Oversee assessment procedures
Are familiar with and agree to work within the IoA Code of Ethics and Practice

Course Design & Rationale


Tick all that apply
Provides a clear and detailed statement of the course rationale and design
Contains a balance of theoretical and practical content
Offers ongoing evaluation if the course is 12 weeks or longer

Course / Program Content

Please confirm what content is covered by your course or program:


Tick all that apply
Theory of database structures (e.g. relational, document or graph models)
Database schema design and use
Data collection and provenance
Basic initial exploratory data analysis
Data sampling theory and application
Tick all that apply
Theory of data cleaning
Handling duplicate data
Theory and practice of normalisation or the removal of outliers
Theory and practice of handling missing data
Database joining
Tick all that apply
Theory and practice of a range of models on large data sets
Compromises and payoffs of data models
Tick all that apply
Theory of data visualization
Data visualization design for a technical audience
Data visualization design for a non-technical audience
Tick all that apply
Theory of correlation and causality
Analysis of key statistics from modelling processes
Practical description of modelling processes for a non-technically trained audience
Interpretation of model output
Tick all that apply
Theory of relevant privacy laws and / or privacy regulatory environment
Theory and / or practice of integrity constraints on data modelling
Theory of trust, reputation and unanticipated outcomes
Interpretation of model outputPractice completing a data ethics report

Coding & Software


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Datacamp - Learning Tracks

All IoA members can use the installation-free Data Camp environments to build, practice and test your skills in Data Camp. We have two custom built tracks to allow you to ensure your training is on course to fulfil your career goals. We’ve recommended two tracks of knowledge and analytics study aligned to all of the 7 first years in the Data Competency Framework.

Which Track is for me?

Business analyst with R: This track will take you through spreadsheet skills and BI tools in the early years, and build up your coding skills to use R environments in the later years with more challenging data projects.

Python analyst: This track goes straight into Python coding and will take you all the way to working with unstructured data and deep learning techniques.
Look for the track name and year when you search for a course.
With our custom tracks, we’ve selected the skills that we know employers are looking for but remember that you can also take any of the 300 courses and assessments and projects any time you want and add that to your CPD records, too. You can find a post discussing the aims and structure of the tracks here.

Datacamp - Learning Tracks

All IoA members can use the installation-free Data Camp environments to build, practice and test your skills in Data Camp. We have two custom built tracks to allow you to ensure your training is on course to fulfil your career goals. We’ve recommended two tracks of knowledge and analytics study aligned to all of the 7 first years in the Data Competency Framework.

Which Track is for me?

Business analyst with R: This track will take you through spreadsheet skills and BI tools in the early years, and build up your coding skills to use R environments in the later years with more challenging data projects.

Python analyst: This track goes straight into Python coding and will take you all the way to working with unstructured data and deep learning techniques.

Look for the track name and year when you search for a course.

With our custom tracks, we’ve selected the skills that we know employers are looking for but remember that you can also take any of the 300 courses and assessments and projects any time you want and add that to your CPD records, too. You can find a post discussing the aims and structure of the tracks here


View Learning Tracks


Go To DataCamp