Applied Analytics for Business
Overview
For employees in all aspects of business, one of the new keys to success, in a data-driven world, is having the skills and knowledge to effectively analyse and interpret the data in your environment. While the demand for data science specialists will continue to grow, data touches most other roles, and almost all employees require some level of data literacy.
Programme Structure
One ten credit module addresses all the programme learning outcomes of the Level 9 Special Purpose Award – Certificate in Applied Analytics for Business.
Course delivery, as well as course assessment, is linked to the stages of the CRISP-DM Data Mining Process. This Cross Industry Standard Process for Data Mining (CRISP-DM) has six sequential phases:
- Business understanding – What does the business need
- Data understanding – What data do we have / need? Is it clean?
- Data preparation – How do we organize the data for modeling?
- Modeling – What modeling techniques should we apply?
- Evaluation – Which model best meets the business objectives?
- Deployment – How do stakeholders access the results?
Learning Outcomes
On successful completion of this module, the learner will be able to:
- Investigate how best-practice data analytics is used in business.
- Evaluate the role of Data Analysis techniques in Business Understanding.
- Discuss the application of Data Analysis techniques in Data Understanding.
- Evaluate and apply a variety of Data Preparation techniques.
- Justify and apply appropriate Modelling techniques to business datasets.
- Evaluate the performance of various models and advise management on best deployment options.
Modules
A module is a standalone unit of learning and assessment and is completed within one semester. A full-time student will normally study six modules in each semester; part-time and ACCS (Accumulation of Credits and Certification of Subjects) students will have flexibility as to the number of modules taken.
For a list of modules, please click here.
Entry Requirements
A Level 8 Honours Degree is desirable. In certain circumstances, applicants may be eligible for entry via Recognition of Prior Learning (RPL).
All part-time programmes at MTU will run subject to sufficient student numbers. Where a programme cannot proceed, applicants will be contacted and advised on alternative study options.
Students should note that fees quoted relate to the academic year 2024-2025 only and are subject to change on an annual basis. Except where stated, course fees cover the cost of tuition only.
What is RPL?
Recognition of Prior Learning (RPL) is when formal recognition is given for what you already know prior to starting on a programme or module. With recognition of prior learning the focus is on learning and not on experience as such. You can apply for RPL in any MTU accredited programme or module. Programmes which are accredited by professional bodies or any external awarding bodies may have their own procedures for RPL which you should refer to.
Course Details
- Application Deadline: Friday 11th September 2026
- Course Start Date: Tuesday 15th September
- Course Location: Online
- Original Cost: €1,545
- Cork Chamber Skillnet Cost: €1,000
Places are limited. To apply for this training, please click here.
For more queries please contact us.
