Programme Code HDSDA
Programme Duration 1
Programme Level 8
 
EQF Level 6
 
EHEA Level First Cycle
Programme Credits 60
Semester Duration 0 Week(s)
Language of Instruction English
CAO Code; QQI Progamme Code etc
Code
 

Programme Outcomes

On successful completion of this programme the learner will be able to :

Description
Develop core skills to carry out effective data analyses utilising descriptive and inferential statistics within a business context
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Develop technical skills to enable learners to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
Communicate effectively the results of data analysis to both technical and non-technical audiences
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Develop technical skills to enable learners to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Develop core skills to carry out effective data analyses utilising descriptive and inferential statistics within a business context
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Develop technical skills to enable learners to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Develop technical skills to enable learners to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
Communicate effectively the results of data analysis to both technical and non-technical audiences
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Communicate effectively the results of data analysis to both technical and non-technical audiences
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Communicate effectively the results of data analysis to both technical and non-technical audiences
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
Develop technical skills to enable learners to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
Communicate effectively the results of data analysis to both technical and non-technical audiences
Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources
Communicate effectively the results of data analysis to both technical and non-technical audiences

Semester Schedules

Stage 1 / Semester 1

Core Subject
Module Code Title
H8BAC Business Analysis and Communication
H8BDA Business Data Analysis
H8IDA Introduction to Data Analytics
H8BGD Programming for Big Data

Stage 1 / Semester 2

Core Subject
Module Code Title
H8ABDA Advanced Business Data Analysis
H8DWM Data and Web Mining
Optional
Module Code Title
H8DV Data Visualization
H8DSDA Domain Skills for Data Analytics

Stage 1 / Semester 3

Core Subject
Module Code Title
H8DPR Project