BH119 - Bachelor of Analytics (Honours)

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RMIT program code: BH119
Plan name: Bachelor of Analytics (Honours)
Plan code: BH119
Campus: City Campus
Credit points per semester:
Full time: 48
Part time: 24
CRICOS code: 088029D

Contact details and related links


2019 Enrolment Program Structure

For students who commence their study in this program from 1 January 2016 onwards, please note that some courses listed in this structure will have their course marks count toward your program's weighted average mark. Your weighted average mark will determine the honours level of your award once you have completed the program. If a course counts toward your weighted average mark, that fact will be stated in its course guide. In Enrolment Online, after you completed your course enrolment, you will be notified which of the enrolled courses will count toward the weighted average mark.

  Year One of Program
 
AND  Year Two of Program
 
AND  Year Three of Program
 
AND  Year Four of Program
 
AND  List of Options:
 

Credit transfer / recognition of prior learning

You may be eligible for credit or recognition of prior learning (RPL) toward your RMIT program. Please read the How to apply for credit information and complete the forms required. Please ensure that you submit this information by the relevant census date. Please submit your application through the RMIT Connect portal.

 

 

For more information about the weighted average mark, please click here
 

To graduate from this program you must complete the following:

Please note that this program commenced from 2016. Therefore, some later year courses may not be available in 2018.

Important notice: Transitioning students are strongly advised to consult with the program leader before applying for this program. 

 

Program Transition Plan

Please note that this program has a program transition plan that outlines key changes to the BH119 program effective 2018. This information can be found here

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Year One of Program

COSC1519: Students must complete COSC1519 Introduction to Programming successfully in order to enrol in COSC1073 Programming I in the following semester.

Students transferring from the Statistics degree (BP245) must enrol into COSC1519 and COSC1073 (you must successfully complete COSC1519 before enroling into COSC1073).

Students transferring from the Mathematics degree (BP083) must enrol into MATH2202, COSC1519 and COSC1073 (you must successfully complete COSC1519 before enroling into COSC1073)

Important notice: Transitioning students are strongly advised to consult with the program leader before applying for this program. 

Complete the following Eight (8) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Calculus and Analysis 112YesMATH1142City Campus1137
Introduction to Programming12YesCOSC1519City Campus13551356
Introduction to Probability and Statistics12MATH2200City Campus1158
Discrete Mathematics12MATH1150City Campus1143
Calculus and Analysis 212YesMATH1144City Campus1132
Data Preparation for Analytics12YesMATH2202City Campus1137
Programming 112YesCOSC1073City Campus13691370
Basic Statistical Methodologies12YesMATH2201City Campus1130
 
AND

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Year Two of Program

You MUST enrol in MATH2140 and MATH2203 in semester 1.

Important notice: Transitioning students are strongly advised to consult with the program leader before applying for this program. 

Complete the following Six (6) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Linear Algebra and Vector Calculus12YesMATH2140City Campus1161
Linear Models and Design of Experiments12YesMATH2203City Campus1162
Practical Data Science12YesCOSC2738City Campus3365
Spatial Information Science Fundamentals12GEOM1033City Campus12281216
Database Concepts12YesISYS1057City Campus13381347
Advanced Programming Techniques12YesCOSC1076City Campus13151312
AND

Select and Complete One (1) Course from the Analytics Options list. (Please see the end of the program structure for all option course lists)

AND

Select and Complete One (1) Course from the Business Options list or Data Science Options list. (Please see the end of the program structure for all option course lists)

 
AND

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Year Three of Program

Important notice: Transitioning students are strongly advised to consult with the program leader before applying for this program. 

Complete the following Four (4) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Multivariate Analysis12YesMATH2142City Campus1163
Industrial Research Methods12YesMATH2307City Campus1154
Algorithms and Analysis12YesCOSC2123City Campus13181315
Machine Learning12YesCOSC2673City Campus1361
AND

Select and Complete Two (2) Courses from the Analytics Options list. (Please see the end of the program structure for all options course lists)

AND

Select and Complete Two (2) Courses from any:

University Elective
 
AND

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Year Four of Program

Important notice: Transitioning students are strongly advised to consult with the program leader before applying for this program. 

Complete the following Two (2) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Analytics in Industry 112YesMATH2302City Campus1209
Analytics in Industry 212YesMATH2303City Campus1200
AND

Select and Complete Four (4) Courses from the Analytics Options list. (Please see the end of the program structure for all option course lists)

AND

Select and Complete Two (2) Courses from the Business Options list or Data Science Options list. (Please see the end of the program structure for all option course lists)

 
AND

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List of Options:

In 2018, students choosing the Analytics options may also enrol in MATH1155 Scientific Computing (12cp)

Analytics Options List:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Operations Research 112YesMATH1288City Campus1165
Modelling with Differential Equations12YesMATH2138City Campus1177
Algebra for Information Security12YesMATH2148City Campus1133
Statistical Inference12YesMATH2155City Campus1195
Mathematical Modelling12YesMATH2194City Campus1166
Forecasting12YesMATH2204City Campus1142
Sampling and Quality Control12YesMATH2205City Campus1170
Sports Statistics12MATH2206City Campus1172
Data Visualisation12YesMATH2237City Campus3368
Modelling with Algebra12YesMATH2311City Campus1162
Complex Networks in Biology and Ecology12YesMATH2312City Campus3355
Industrial Applications of Mathematics and Statistics 112MATH2196City Campus11531150
Industrial Applications of Mathematics and Statistics 212MATH2197City Campus11521149
AND

Data Science Options List:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Artificial Intelligence12YesCOSC1127City Campus1323
Data Mining12YesCOSC2110City Campus1332
Further Programming12YesCOSC2391City Campus13293305
Database Systems12YesCOSC2406City Campus1340
Web Programming12YesCOSC2413City Campus12821279
Cloud Computing12YesCOSC2626City Campus1321
Big Data Management12YesCOSC2632City Campus1324
Big Data Processing12YesCOSC2633City Campus1318
Rapid Application Development12YesCOSC2675City Campus1336
Web Search Engines and Information Retrieval12YesISYS1079City Campus1351
Information Systems Solutions and Design12YesISYS2047City Campus18151926
Enterprise Information Systems12YesISYS2425City Campus1939
AND

Business Options List:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Financial Markets12BAFI1002City Campus17381729
Business Finance12YesBAFI1008City Campus17461730
Investment12YesBAFI1042City Campus17491732
International Finance12YesBAFI1018City Campus17471731
Risk Management12YesBAFI1026City Campus17481837
Macroeconomics 112ECON1010City Campus18211744
Prices and Markets12YesECON1020City Campus18231746
Macroeconomics 212YesECON1042City Campus18271750
Price Theory12YesECON1048City Campus18251752
International Trade12YesECON1086City Campus18321758
Marketing Principles12MKTG1025City Campus18461765
Marketing Communication12YesMKTG1041City Campus18491766
Buyer Behaviour12YesMKTG1050City Campus18561770
Sales Strategy and Communication Skills12YesMKTG1048City Campus18551769
Transportation and Freight Logistics12OMGT1062City Campus18781966
Introduction to Logistics and Supply Chain Management12OMGT1082City Campus18921979
Procurement Management and Global Sourcing12OMGT1070City Campus18831969
Supply Chain Analysis and Design12YesOMGT2146City Campus19242006
 

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Contact details and related links

Program structure enquiries

College of Science, Engineering and Health
Academic Services Centre - Melbourne City Campus

Enquiries can be submitted via RMIT Connect Student Portal 

Building 10, Level 9, Room 1
124 La Trobe Street
Melbourne VIC 3000
Tel: +61 3 9925 2621

Timetabling

Please go to the Class timetables web page to access timetabling information.

 

Material fees

Some courses and programs have material fees (fees for field trips, goods or services) associated with them. In most cases these charges are not compulsory, but are levied by the teaching school for materials they purchase on your behalf for use in your studies. Go to the Material Fees web page to check the material fees for your program and courses.

Enrolment

For more information about enrolment at RMIT University, please go to the Enrolment home page.

*Semester 1 classes generally commence in February and Semester 2 classes generally commence in July. Please contact your school for more information about specific class start days.

Policies

For more information about other RMIT University policies, please go to the Policies web site.

Student Electives

University Electives are available to Undergraduate students, and in selected Postgraduate programs.

Information about University Elective courses at RMIT is available on the University Electives web site.

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