BP096 - Bachelor of Software Engineering

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Plan: BP096P23 - Bachelor of Software Engineering
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure
Program transition plan

Approach to learning and assessment

The teaching approach in this program is designed to foster your development as an independent learner so you will be able to extend your capabilities once you graduate. The teaching method includes lectorial, seminar, tutorial, workshop, practical and laboratory sessions, and provision of online materials.

You will be expected to complete all prescribed out-of-class learning activities in preparation for scheduled face-to-face and online classes, and encouraged to extend your learning by completing recommended additional readings and online activities. Of particular importance is the time spent in practical, laboratory based and work integrated learning activities that will focus on developing your employability skills and capabilities. Career Development Learning (CDL) experiences are embedded within the program and provide you with the knowledge, skills and attributes to manage your career and development throughout your life.

Several courses in the program are delivered online, rather than on-campus, and you are likely to find that other courses transition to online delivery as you progress through the program. All courses use Canvas for electronic provision of course material, tutorial problems and/or other relevant documents.

Assessment is designed to give you the opportunity to demonstrate your capabilities. Various forms of assessment will be used throughout the program since the assessment you undertake will be appropriate to the objectives and student learning outcomes for each course.  Assessment may include class tests, quizzes, essays/reports, oral class presentations, group projects, industry-based projects, in-lab assessments, practical assignments and timed assessments.   

Inherent requirements
The following information on inherent requirements outlines the tasks you will be required to undertake during professional placement and on-campus learning activities. The non-academic abilities listed are provided for information only and are not entry requirements.

If there are any activities outlined which may be difficult for you to undertake, there are a range of adjustments to your study conditions available to enable and support you to demonstrate these abilities. Please contact the Equitable Learning Service to discuss any adjustments you may require.

Please read the full list of the Bachelor Software Engineering 

By understanding the types of activities you’ll participate in, you can:

  • understand more about the program
  • determine if you may need support during your studies
  • make an informed decision about whether the program is suitable for you

If you are living with a disability, long-term illness and/or a mental health condition, we can support you by making adjustments to activities in your program so that you can participate fully in your studies.

To receive learning adjustments, you need to register with Equitable Learning Service : www.rmit.edu.au/students/support-services/equitable-learning

The University considers the wellbeing and safety of all students, staff and the community to be a priority in on-campus learning and professional experience settings. 

Credit Transfer and Recognition of Prior Learning

If you have already developed areas of skill and knowledge included in this program (for example, through prior studies or work experience), you can apply for credit once you have enrolled in this program. There is information on the RMIT University website about how to apply for Recognition of Prior Learning (RPL) - refer to: www.rmit.edu.au/students/enrolment/credit/he.

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Work integrated learning

RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice. As a student enrolled in this program you will:  

Undertake and be assessed on structured activities that allow you to learn, apply and demonstrate your professional or vocational practice  

  • Interact with industry and community when undertaking these activities  
  • Complete these activities in real work contexts or situations.  

Any or all of these aspects of a WIL experience may be in a simulated workplace environment.   

In this program you will be doing specific courses that focus on work integrated learning (WIL). You will be assessed on professional or vocational work in a workplace setting (real or simulated) and receive feedback from those involved in your industry.   

Work integrated learning (WIL) designated courses for this program are:  

  • COSC2803 – Programming Studio 1: Programming Studio 1 is a studio-based simulated WIL-activity based course that focusses on the further acquisition and development of technical and professional skills for developing software applications. The studio-based approach provides an authentic problem setting. Theory and practice are blended in the application of learning centred on e.g., development of a web applications. In this course you will complete a competitor analysis, front-end and back-end design of the application, conduct a usability testing survey, full implementation of the application, and finally demonstrate to an industry expert panel the project deliverables. In the projects we have chosen for this course, we endeavour to explore Computing for Good, that is, using our skills to achieve positive impacts with our communities and beyond.
     
  • COSC2299 Software Engineering: Process and Tools, you will learn phases of the software engineering life cycle include specialised processes and tools to ensure that real-world projects, both large and small, are delivered in a quality manner under financial constraints using processes and tools. The type of WIL activities involved in this course include a substantial team project to develop a practical software product, using modern Software Engineering processes and reflective practice, and standard industry tools for code management, testing, and continuous integration and deployment.

In these WIL courses, you will: interact with organisations (industry, government and community) through discipline relevant projects and activities. These interactions and the work context provide a distinctive source of feedback to you to assist your learning.  

  • In Year 3 of the program, you will undertake a full-time industry internship, of a minimum 40 weeks, and must enrol in the following two courses:
    1. INTE2376 Approved Industry Experience 1
    2. INTE2377 Approved Industry Experience 2
  • In Year 4 of the program, COSC2410 Software Engineering Project is the capstone course that consolidates and connects your learning throughout the program and during the internship.

Some of the courses in this program also include guest lecturers from industry, government or the community and activities relating to industry as part of the learning experience.

Please note: students may be required to undertake additional screening/compliance checks as advised by Government, Industry or RMIT University as the need arises. If applicable, further information will be provided once enrolment has been completed. 

International Students will need to check their Visa requirements and any work regulations/limitations before they can commence any WIL Activity. Further information can be found under the Visa Requirements for International Students section. 

As a student enrolled in this RMIT University program you will be provided with an education that strongly links formal learning with professional practice. You will be provided with practical application of theoretical concepts through activities such as case studies, projects and assignments in the courses. 

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Program Structure

To graduate you must complete the following: Note: All courses listed may not be available each semester
 

You must complete a total of 384 credit points (i.e.: Twenty two 12 credit point courses, Two 24 credit point courses, and two 36 credit point courses) as follows:

  • Two (2) STEM Future Technology Skills courses (24 credit points); and
  • Fourteen (14) Core courses comprising two 24CP-courses and ten 12CP-courses (totalling 192 credit points); and
  • One (1) Capstone course (24 credit points);
  • 96 credit points comprising internship courses, and
  • 48 credit points (e.g. four 12 credit point Software Engineering Option courses) from one of the following possible Combinations:

Combination 1: Complete Four (4) courses from one of the Software Engineering Minors; or
Combination 2: Complete Four (4) Software Engineering Option Courses; or
Combination 3: Complete 48 credit points of University Electives.

Software Engineering Option courses mean all courses listed within each Software Engineering Minor.

University Electives can include any Software Engineering Option course, or any other course on the University Electives website.

Rules on completion of Minors:

  • A minor is typically 48 credit points.
  • A maximum of one (1) Minor can be completed in this program.

Please note, a course can only be counted once in your program. Any course completed as part of the core courses in the program, including where you are given a choice of core option courses, cannot count towards the completion of a minor.

The Software Engineering Minor courses and cross-disciplinary Minor courses can be found at the end of the program structure. The courses in each Minor need to be completed in the sequence listed.

 

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Year One of Program

Complete the following Six (6) Courses

Course Title

Credit Points

Course Code

Campus

Programming Bootcamp 1 12 COSC2801 City Campus
Programming Studio 1 24 COSC2803 City Campus
Introduction to Mathematics for Computing 12 MATH2466 City Campus
Mathematics for Computing 1 12 MATH2411 City Campus
Programming Bootcamp 2 12 COSC2802 City Campus
Programming Studio 2 24 COSC2804 City Campus
 
AND

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Year Two of Program

Complete the following Eight (8) Courses

Course Title

Credit Points

Course Code

Campus

Introduction to Cyber Security 12 INTE2625 City Campus
Full Stack Development 12 COSC2758 City Campus
Software Engineering Fundamentals 12 ISYS1118 City Campus
ISYS2375 Bundoora Campus
ISYS3329 Melbourne transfer to Vietnam
Algorithms and Analysis 12 COSC2123 City Campus
Software Requirements Engineering 12 COSC2274 City Campus
Software Engineering: Process and Tools 12 COSC1121 Bundoora Campus
COSC2299 City Campus
COSC2794 Melbourne transfer to Vietnam
Systems Architecture and Design 12 ISYS3459 City Campus
Software Testing 12 ISYS1087 City Campus
ISYS3353 Melbourne transfer to Vietnam
 
AND

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Year Three of Program

Complete the following Four (4) Courses

Course Title

Credit Points

Course Code

Campus

Approved Industry Experience 1 36 INTE2376 City Campus
Foundations of Artificial Intelligence for STEM 12 COSC2960 City Campus
COSC3094 Bundoora Campus
Approved Industry Experience 2 36 INTE2377 City Campus
Innovation Ecosystem and the Future of Work 12 OENG1235 City Campus
OENG1279 Bundoora Campus
 
AND

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Year Four of Program

Complete the following Three (3) Courses

Course Title

Credit Points

Course Code

Campus

Computing Theory 12 COSC1106 Bundoora Campus
COSC1107 City Campus
Software Engineering Project 24 COSC2410 City Campus
Operating Systems Principles 12 COSC1113 Bundoora Campus
COSC1114 City Campus
AND
Complete Forty-eight (48) credit points from your Selected Combination:
 
AND

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Software Engineering Minors:

List of Minors:
 
AND
(

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Minor: Artificial Intelligence and Machine Learning

Select and Complete Four (4) Courses from the following list that have not been completed as Core Courses:

Course Title

Credit Points

Course Code

Campus

Artificial Intelligence 12 COSC1126 Bundoora Campus
COSC1127 City Campus
Games and Artificial Intelligence Techniques 12 COSC2527 City Campus
Machine Learning 12 COSC2673 City Campus
Deep Learning 12 COSC2972 City Campus
Programming Autonomous Robots 12 COSC2814 City Campus
 
OR

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Minor: Blockchain Technologies

Complete the following Four (4) Courses:

Course Title

Credit Points

Course Code

Campus

Blockchain Technology Fundamentals 12 INTE2627 City Campus
Developing Blockchain Applications 12 INTE2628 City Campus
The Blockchain Economy 12 ECON1349 City Campus
Blockchain Innovations and Case Studies 12 INTE2629 City Campus
 
OR

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Minor: Cloud Computing

Select and Complete Four (4) Courses from the following list that have not been completed as Core Courses:

Course Title

Credit Points

Course Code

Campus

Cloud Foundations 12 COSC2757 City Campus
Cloud Developing 12 COSC2821 City Campus
Cloud Operations 12 COSC2824 City Campus
Cloud Architecting 12 COSC2829 City Campus
Cloud Security 12 INTE2402 City Campus
 
OR

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Minor: Creative Computing

Complete the following Four (4) Courses:

Course Title

Credit Points

Course Code

Campus

Games Studio 1 12 COSC2348 City Campus
Mixed Reality 12 COSC2476 City Campus
Interactive 3D Graphics and Animation 12 COSC1187 City Campus
Games and Artificial Intelligence Techniques 12 COSC2527 City Campus
 
OR

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Minor: Cyber Assurance

Select and Complete Four (4) courses from the following list that have not been completed as Core Courses:

Course Title

Credit Points

Course Code

Campus

Data Communication and Net-Centric Computing 12 COSC1110 Bundoora Campus
COSC1111 City Campus
COSC2564 Melbourne transfer to Vietnam
Security in Computing and Information Technology 12 COSC2536 City Campus
COSC2565 Melbourne transfer to Vietnam
Security Testing 12 INTE2547 City Campus
Cyber Security Attack Analysis and Incidence Response 12 INTE2626 City Campus
Cloud Security 12 INTE2402 City Campus
Computer and Internet Forensics 12 COSC2301 City Campus
 
OR

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Minor: Data Science

Complete the following Four (4) Courses:

Course Title

Credit Points

Course Code

Campus

Practical Data Science 12 COSC2738 City Campus
Advanced Programming for Data Science 12 COSC2815 City Campus
Data Visualisation with R 12 MATH2237 City Campus
The Data Science Professional 12 COSC2818 City Campus
 
OR

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Minor: Enterprise Systems Development

Complete the following One (1) Course: Note: Students who do not complete Full Stack Development as a Core Course in their program must complete it to successfully complete this minor.

Course Title

Credit Points

Course Code

Campus

Further Programming 12 COSC1135 Bundoora Campus
COSC2391 City Campus
COSC2786 Melbourne transfer to Vietnam
AND
Select and Complete Three (3) Courses from the following list that have not been completed as Core Courses:

Course Title

Credit Points

Course Code

Campus

Full Stack Development 12 COSC2758 City Campus
Software Testing 12 ISYS1087 City Campus
ISYS3353 Melbourne transfer to Vietnam
Database Applications 12 ISYS1102 City Campus
ISYS2034 Bundoora Campus
Web Development Technologies 12 COSC2276 City Campus
COSC2756 Melbourne transfer to Vietnam
iPhone Software Engineering 12 COSC2471 City Campus
Rapid Application Development 12 COSC2675 City Campus
Software Engineering: Process and Tools 12 COSC1121 Bundoora Campus
COSC2299 City Campus
COSC2794 Melbourne transfer to Vietnam
Programming Internet of Things 12 COSC2674 City Campus
Algorithms and Analysis 12 COSC2123 City Campus
Enterprise Application Development 1 12 COSC3091 City Campus
Mobile Application Development 12 COSC2309 City Campus
COSC2340 Bundoora Campus
COSC2662 Melbourne transfer to Vietnam
 
OR

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Cross-disciplinary Minors:

List of Minors:
 
OR

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Minor: Bioinformatics

Complete the following Four (4) Courses:

Course Title

Credit Points

Course Code

Campus

Cell Biology and Biochemistry 12 BIOL1159 Bundoora Campus
BIOL2146 City Campus
Genetics and Molecular Biology 12 BIOL2262 City Campus
BIOL2263 Bundoora Campus
Computational Biology 12 BIOL2526 City Campus
Genomics and Gene Technologies 12 BIOL2527 City Campus
BIOL2577 Bundoora Campus
 
OR

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Minor: Data Analysis

Complete the following Three (3) Courses:

Course Title

Credit Points

Course Code

Campus

Linear Models and Experimental Design 12 MATH2203 City Campus
Multivariate Analysis 12 MATH2142 City Campus
Optimisation for Decision Making 12 MATH2055 City Campus
AND
Select and Complete One (1) Course from the following list:

Course Title

Credit Points

Course Code

Campus

Applied Bayesian Statistics 12 MATH2305 City Campus
Analysis of Categorical Data 12 MATH2300 City Campus
Time Series and Forecasting 12 MATH2204 City Campus
)

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Program transition plan

Semester 2, 2024 Transition Plan

A minor amendment has been made to your program effective Semester 2, 2024. The amendments are listed below:

Old Course Replacement Course
BIOL2527 Genomics & Gene Technologies (City) BIOL2577 Genomics & Gene Technologies (Bundoora)
 
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