BP245 - Bachelor of Science (Statistics)

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RMIT program code: BP245
Plan name: Bachelor of Science (Statistics)
Plan code: BP245
Campus: City Campus
Credit points per semester:
Full time: 48
Part time: 24
CRICOS code: 058781J

Contact details and related links


2017 Enrolment Program Structure

To graduate you must complete the following:

  Year One of Program
 
AND  Year Two of Program
 
AND  Year Three of Program
 
AND  List of Option Courses:
 
AND  List of Option Courses:
 

You must complete a total of twenty four (24) courses, of which two (2) can be University Student Electives taken in year 3.

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Year One of Program

You must complete all eight (8) courses listed below.

MATH1150: You must enrol in this course in semester 1 ONLY if you begin the program in semester 1. If you started the program at mid-year, then you may enrol in MATH1150 in semester 2.

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 Campus2728
Introduction to Probability and Statistics12MATH2200City Campus3175
Mathematical Computing12MATH2109City Campus3176
Discrete Mathematics12MATH1150City Campus27243127
Problem Solving and Algorithms12YesMATH2313City Campus3097
Calculus and Analysis 212YesMATH1144City Campus3098
Basic Statistical Methodologies12YesMATH2201City Campus3099
Data Preparation for Analytics12YesMATH2202City Campus3108
 
AND

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Year Two of Program

  • Transitioning students only: Continuing second and third year students transitioning into the new structure may follow detailed transition plan. Please contact the school office via smgs.students@rmit.edu.au to request your transition plan.
  • You must complete all four (4) core courses listed below together with four (4) program options.
  • Before you enrol in any course in year two, you need to satisfy the prerequisites otherwise you may struggle to complete the course satisfactorily.
  • Some Program Options will run every second year. Please verify course future availability with your Program Leader

Complete the following Four (4) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Linear Algebra and Vector Calculus12YesMATH2140City Campus3177
Industrial Applications of Mathematics and Statistics 112MATH2196City Campus31793101
Linear Models and Design of Experiments12YesMATH2203City Campus3182
Statistical Inference12YesMATH2155City Campus3109
AND

Select and Complete Three (3) Courses from the following list:

Option List 1
AND

Select and Complete One (1) Course from the following list:

Option List 2
 
AND

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Year Three of Program

  • Transitioning students only: Continuing second and third year students transitioning into the new structure may follow detailed transition plan. Please contact the school office via smgs.students@rmit.edu.au to request your transition plan.
  • You must complete all two (2) core courses listed below together with four (4) Program Options and two (2) University Electives. University electives may be taken in either semester 1 or 2, depending on availabilities of courses and timetable clashes (Timetable clashes may be unavoidable if you deviate from the planned order of courses).
  • Before you enrol in any course in year three, you need to satisfy the prerequisites otherwise you may struggle to complete the course satisfactorily.
  • Some Program Options will run every second year. Please verify course future availability with your Program Leader
  • Rules for University Student Electives: (1) You must not enrol in any first year maths/calculus course which overlaps significantly with either/both of MATH1142 and MATH1144. Such courses include, but are not limited to, MATH2160, MATH2117, MATH2118, MATH2128, MATH2129, MATH2163, MATH2164 and MATH2211. (2) You must not enrol in any first year statistics course which overlaps significantly with either/both of MATH2200 and MATH2201. These courses include, but are not limited to, MATH2123, MATH1276, MATH1278, MATH1280, MATH1281, MATH1282 and ECON1030. If you are in any doubt about an elective choice, please consult the Program Leader.

Complete the following Two (2) Courses:

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Multivariate Analysis12YesMATH2142City Campus3110
Industrial Applications of Mathematics and Statistics 212MATH2197City Campus31803102
AND

Select and Complete Two (2) Courses from the following list:

Option List 1
AND

Select and Complete Two (2) Courses from the following list:

Option List 2
AND

Select and Complete Two (2) Courses from:

University Elective
 
AND

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List of Option Courses:

Option List 1 (Year Two and Year Three)

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Sampling and Quality Control12YesMATH2205City Campus3112
Forecasting12YesMATH2204City Campus3111
Sports Statistics12MATH2206City Campus3113
Systems Simulation12YesMATH2309City Campus3183
Scientific Computing12YesMATH1155City Campus3104
Complex Networks in Biology and Ecology12YesMATH2312City Campus3181
Modelling with Differential Equations12YesMATH2138City Campus3178
Modelling with Algebra12YesMATH2311City Campus3100
Operations Research 112YesMATH1288City Campus3106
Numerical Solutions of DEs12YesMATH2144City Campus3107
Algebra for Information Security12YesMATH2148City Campus2721
Mathematical Modelling12YesMATH2194City Campus2738
 
AND

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List of Option Courses:

Option List 2 (Year Two and Year Three)

Course Title

Credit Points

Prereqs/ Coreqs

Course Code

Campus

Semester 1 Class

Semester 2 Class

Business Finance12YesBAFI1008City Campus21672117
Financial Markets12BAFI1002City Campus21662116
Prices and Markets12YesECON1020City Campus21812131
Sampling and Quality Control12YesMATH2205City Campus3112
Forecasting12YesMATH2204City Campus3111
Sports Statistics12MATH2206City Campus3113
Systems Simulation12YesMATH2309City Campus3183
Scientific Computing12YesMATH1155City Campus3104
Complex Networks in Biology and Ecology12YesMATH2312City Campus3181
Modelling with Differential Equations12YesMATH2138City Campus3178
Modelling with Algebra12YesMATH2311City Campus3100
Operations Research 112YesMATH1288City Campus3106
Numerical Solutions of DEs12YesMATH2144City Campus3107
Algebra for Information Security12YesMATH2148City Campus2721
Mathematical Modelling12YesMATH2194City Campus2738
Marketing Principles12MKTG1025City Campus22492204
Marketing Communication12YesMKTG1041City Campus22502205
Market Research12YesMKTG1045City Campus22512206
 

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Contact details and related links

Program structure enquiries

Dr Stelios Georgiou

School of Science

Building 8, Level 9, Room 74

360-370 Swanston Street

Melbourne, VIC 3000

Tel: +61 3 9925 3158

Fax: +61 3 9925 2454

Email: stelios.georgiou@rmit.edu.au

Timetabling

The majority of Higher Education programs use the Student Timetabling System (STS). Go to the Student Timetabling System web page to access timetabling information.

If your program is taught by a Vocational Education (VE) school then please go to the Vocational Education timetabling website.

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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