Short Title:Business Maths & Statistics 1
Full Title:Business Maths & Statistics 1
Module Code:BSIT H1012
ECTS credits: 5
NFQ Level:6
Module Delivered in 2 programme(s)
Module Contributor:Colm McGuinness
Module Description:Module Aims: - To provide an appropriate level of understanding and practical experience in the area of mathematical and statistical techniques relevant to business. - To develop analytical problem solving skills.
Learning Outcomes:
On successful completion of this module the learner will be able to
  1. Understand how to work with quantitative and qualitative data - Covering collection, analysis and methods for presentation
  2. Understand and know how to carry out basic financial mathematics calculations
  3. Be capable of applying techniques learned using modern computer packages

Module Content & Assessment

Indicative Content
Basic Arithmetic
Mathematical notation Sigmas Accuracy Rounding Equation of a line and understanding of slope Use of a calculator Absolute and relative error Percentages Calculation order (BOMDAS) Basic manipulation of equations (reverse BOMDAS)
Data Presentation
Sampling techniques Bias Sample size Basic questionnaire design Collection Classification of data Primary and secondary data Continuous and discrete data Graphical and tabular representation of data Histograms, polygons and curves Simple and grouped frequency distributions Class boundaries, widths, mid-points, scaling factors, scaled frequency, cumulative frequencies, percentage frequencies Cumulative and percentage frequency distributions Non-numeric frequency distributions and charts
Analysis of Data
Averages, mean, median and mode of grouped and ungrouped data Diagrammatic determination of the median and other quantiles, and the mode Measures of dispersion, standard deviation, range, inter-quartile range, mean absolute deviation, coefficient of variation Concept of skewness
Index Numbers
Construction and use of index numbers Conversion between index relatives Laspeyres and Paasche composite indices Real value index and deflation of data
Financial Mathematics
Time lines Simple and compound interest formulae Straight line and reducing balance depreciation formulae Compounding and discounting APR, nominal and per period interest rates Simple time value of money using compound interest formula Annuities.
Indicative Assessment Breakdown%
Course Work Assessment %30.00%
Final Exam Assessment %70.00%
Course Work Assessment %
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Students will be required to complete a practical exam using a spreadsheet application (eg Excel). 1,2,3 15.00 Week 11
Open-book Examination Students will be required to complete ongoing practice questions. 1,2 15.00 Every Week
Final Exam Assessment %
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2 70.00 End-of-Semester
Indicative Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

ITB reserves the right to alter the nature and timings of assessment


Indicative Module Workload & Resources

Indicative Workload: Full Time
Workload Type Workload Description Hours Frequency Indicative Average Weekly Learner Workload
Lecture Lecture 3.00 Every Week 3.00
Lab Delivery of spreadsheet learning outcome content 1.00 Every Week 1.00
Independent Learning Personal study, and ongoing CA questions 4.00 Every Week 4.00
Indicative Total Weekly Learner Workload 8.00
Indicative Total Weekly Contact Hours 4.00
This course has no Part Time workload.
Recommended Book Resources
  • Andre Francis,, Business Mathematics and Statistics [ISBN: 1-844-80128-4]
  • J. O. Bird, A. J. C. May 1994, Technician mathematics 1, Longman Scientific & Technical Harlow [ISBN: 0-582-23426-3]
Supplementary Book Resources
  • Jon Curwin, Roger Slater,, Quantitative Methods [ISBN: ISBN:1-861-52991-0]
  • Mark L. Berenson, David M. Levine, Timothy C. Krehbiel 2006, Basic business statistics, Pearson/Prentice Hall Upper Saddle River, N.J. [ISBN: 0-131-97581-1]
This module does not have any article/paper resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
BN_BBSIT_8 Bachelor of Business (Honours) in Information Technology [240 ECTS credits] 1 Mandatory
BN_BBSIT_D Bachelor of Business in Information Technology [180 ECTS credits] 1 Mandatory