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Parent Programme
Bachelor of Science in Computing (Level 7 NFQ)
MODULE NFQ
Level 7
MODULE CREDIT UNITS
ECTS: 5
MODULE TITLE
Statistics and Data Science
Reference Code: M3.7
STAGE
Year 3
Spring Semester 2
12 Weeks X 3.15 Hours per week

Minimum Intended Learning Outcomes (MIMLOs)

Upon successful completion of this module, the learner should be able to:
LO1
Evaluate the value of data science and its IT applications.
LO2
Appraise how data science can benefit managers in decision making.
LO3
Apply statistical and probability techniques to analysing data.
LO4
Assess data in data warehouses to inform business intelligence.
LO5
Combine legal requirements and ethics in decision making.

Assessment

MIMLOs
Assessment
Percentage
1-3
Continuous Assessment
60%
1-5
Exam
40%

Statistics and Data Science

Aims & Objectives

The aim of this module is to equip the learner with the tools and methods to find structure in and to give deeper insight into data and to analyse and quantify uncertainty.   This module shows the learners how data science can help organisations to reduce costs, make more informed decisions and develop new products and services.

This module will ensure learners meet the following objectives:

  • Develop an understanding of data collection.
  • Assembling data through data cleaning and transformation.
  • Undertake preliminary data analysis using graphs and descriptive and inferential statistics.
  • Identify and develop the model that bests fits the problem requirement.
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