Courses & Units

Business Analytics and Operations Research JNB635


This unit provides students with the fundamental and advanced concepts, tools and skills needed to understand the emerging role of business analytics and operations research in organizations. Emphasis would be given to problems in maritime logistics and transport, retailing and procurement. It allows students to understand and apply advanced business analytics tools in a computer-intensive environment and to communicate with analytics professionals to effectively use and interpret analytical models and results for better decision making. There is a descriptive, predictive and prescriptive approaches offered in the unit. Along with this, it discusses the fundamentals and advances of operations research as a discipline area related to simulations and decision-making processes using intelligent methods.


Unit name Business Analytics and Operations Research
Unit code JNB635
Credit points 12.5
College/School College of Sciences and Engineering
Australian Maritime College
Discipline Maritime and Logistics Management
Coordinator Doctor Wenming Shi
Delivered By University of Tasmania


Location Study period Attendance options Available to
Launceston Semester 2 On-Campus International Domestic
Online Semester 2 Off-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 2 22/7/2024 16/8/2024 9/9/2024 27/10/2024

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Collect, analyse and interpret global trade information to aid decisions in maritime logistics management
  • Use intelligent techniques for knowledge discovery to solve real-life problems in maritime logistics management
  • Critically assess business analytics solutions and their applicability to the decision making process arising in diverse contexts
  • Define and constructively justify recommended choices in management and maritime logistics based on supporting evidence, critical thinking and professional judgment

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
020105 $1,118.00 $1,118.00 not applicable $2,648.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.


Mutual Exclusions

You cannot enrol in this unit as well as the following:



AssessmentOnline quiz 1 (15%)|Online quiz 2 (15%)|Decision analysis (30%)|Final examination (40%)
TimetableView the lecture timetable | View the full unit timetable



Camm, JD, Cochran, JJ, Fry, MJ, Ohlmann, Business Analytics, 4th edition, Cengage, 2021

This textbook is available to purchase from the link below:


Press, W, Teukolski, S, Vetterling, WT & Flannery, B 2007, Numerical recipes: the art of scientific computing, 3rd edn, Cambridge University Press.

Efron, B. & Tibshirani, RJ, An introduction to the bootstrap, CRC Press, 1994

Camm, JD, Cochran, JJ, Fry, MJ, Ohlmann, D. Anderson, Business Analytics, 3rd edition, Cengage, 2019

French, Simon & David Rios Insua. 2010. Statistical decision theory: Kendall's library of statistics 9. Chichester, UK: John Wiley & Sons Ltd.

Viertl, R. Statistical methods for fuzzy data. John Wiley. UK, 2011

Selvanathan, SA, Selvanathan, S & Keller, G 2017, Business statistics: Australia New Zealand, Seventh Edition+ MindTap Printed Access Card (two items supplied in a value pack), Cengage Learning Australia, ISBN: 9780170285827

Lind, DA, Marchal, WG & Wathen, SA 2017, Statistical techniques in business & economics, 17th edn, Irwin McGraw-Hill, New York

Albright, SC, Winston, WL & Zappe, C 2011, Data analysis & decision making, 4th edn, South-Western Cengage Learning, Mason, OH.

Anderson, DR, Sweeney, DJ, Williams, TA, Camm, JD & Martin, K 2013, Quantitative methods for business, 12th edn, South-Western Cengage Learning, Mason, OH.

Berenson, ML, Levin, DM, Krehbiel, TC, Watson, J, Jayne, N & Turner, L 2013, Basic business statistics – concepts and applications, 3rd edn, Person Australia Group, Frenchs Forest.

Hillier, FS & Hillier, MS 2014, Introduction to management science: A modelling and case studies approach with spreadsheets, 5th edn, McGraw-Hill Irwin, New York.

Oakshott, L 2012, Essential quantitative methods for business, management and finance, 5th edn, Palgrave Macmillan, Hampshire.

Levitt, S & Dubner, S 2009, Freakonomics: A rogue economist explores the hidden side of everything, William Morrow Paperbacks, USA.

Levitt, S & Dubner, S 2011, SuperFreakonomics: Global cooling, patriotic prostitutes, and why suicide bombers should buy life insurance, William Morrow Paperbacks, USA.

LinksBooktopia textbook finder

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