Applied Analytics for Business
Department of Organisation and Professional Development
Certificate in Applied Analytics for Business
Who Should Apply?
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.
The programme is suitable for a wide range of learners including:
To succeed, all companies need to be data-driven organisations where data literacy is an inclusive methodology and everyone is equipped to answer questions with data. Literacy in data science is essential across all departments from technology, marketing, finance, sales, human resources and customer service.
The programme is applicable to all industries. Participants may be public or private sector employees or entrepreneurs.
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 …
What does the business need?
What data do we have/need? Is it clean?
How do we organize the data for modelling?
What modelling techniques should we apply?
Which model best meets the business objectives?
How do stakeholders access the results?
Course assessment is also linked to the stages of the CRISP-DM Data Mining Process. All programme assessments involve the practical application of data analysis techniques to real datasets. Programme participants can choose to work on a dataset supplied by the university or, alternatively, select a suitable dataset from their own work environment.
In the first assessment (40%), students will be required to apply Data Analysis techniques learned on the programme to a large dataset, visualise the results using Excel and/or other technologies, and prepare a report that discusses and evaluates the impact of their findings on business performance.
In the second assessment (50%), students will be required to select and apply suitable analytical and predictive model(s) to their dataset, visualise their results using Excel and/or other technologies, and prepare a report that discusses and evaluates the impact of their findings for the business.
A final presentation (10%) will provide students with the opportunity to communicate their research and results.
We would suggest that applicants ideally have a Level 8 qualification in any discipline; however, applicants with significant work experience will also be considered and are eligible for our recognition of prior learning process.
Course fee: €1,500
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 2022-2023 only and are subject to change on an annual basis. Except where stated, course fees cover the cost of tuition only.
For more information on Fees, please visit the MTU Fees Website.