MIS770A - Foundation Skills in Data Analysis

Unit details

Note: You are seeing the 2020 view of this unit information. These details may no longer be current. [Go to the current version]

2020 unit information

Important Update:

Classes and seminars in Trimester 2, 2020 will be online.

Last updated: 2 June 2020

Enrolment modes:

Start Anytime

Credit point(s):1
Previously coded as:Nil
EFTSL value:0.125
Unit Chair:START-ANYTIME PERIOD 1: Dilal Saundage

Analytical Skills Foundations




For students enrolled in M722, M622, M522: MIS070

All other students: Nil

From Trimester 2 2020: Nil

Incompatible with: MIS770
Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - cloud:

Online independent and collaborative learning activities including online content for each topic which is available on demand.


This is a Start Anytime unit.



This unit aims to develop foundation skills and knowledge required for data driven, evidence based approaches to business decision making and business performance analysis. To this end, the unit first introduces the skills necessary to enable an understanding of business metrics. This is followed by descriptive analytical techniques that transform both structured and unstructured data into meaningful information for the purpose of decision making and understanding and reviewing business performance. Techniques and principles of data visualisation are introduced that enable graphical depictions of data that can improve comprehension, communication and decision-making. Then, the unit introduces quantitative reasoning skills so students are able to review business performance to find problems or areas of opportunities, and identify patterns and trends in data using descriptive and inferential statistics.

  These are the Learning Outcomes (ULO) for this unit.
At the completion of this Unit, successful students can:
Deakin Graduate Learning Outcomes


Apply the fundamentals of quantitative reasoning to solve real-world problems



Manipulate and summarise data that accurately represents real world problems



Interpret and appraise statistical output to assist in real-world decision making


These Unit Learning Outcomes are applicable for all teaching periods throughout the year


Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week 
Assessment 1 (Individual) - Written Assignment - Case study 2000 words 20% -
Assessment 2 (Individual) -  Written Assignment - Data Analysis 2000 words 30% -
Assessment 3 (Individual) - Written submission followed by an oral test: Students are required to present their learning from all three modules, including the assignment feedback for the first two assessments   50% -

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Hurdle requirement: achieve at least 50% of the marks available for Assessment 3.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MIS770A Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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