Bachelor of Science (Majoring in Internet of Things) (James Cook University)
Course Information
Description
Course overview
The curriculum of this major equips scientists for the rapidly expanding world of sensors and data. Graduates will solve complex problems by applying technology to collect and analyse information from a wide range of sources. The main topics of study include electronics, programming, sensors, and statistics. Graduates will apply knowledge of the physical principles of sensors and electronics, in conjunction with software programming and data science skills, to build evidence-based analyses of their chosen application areas. Furthermore, they will critically appraise the benefits, risks and implications of technology in society.
Graduates of the Bachelor of Science at James Cook University will be able to:
- Integrate and apply a coherent body of theoretical and technical knowledge, including underlying concepts and principles, within the domain of data science.
- Critically appraise the role and relevance of science in society, particularly in creating sustainable futures in the tropics, worldwide
- Demonstrate broad understanding of the methods of science, including the creative processes involved in developing scientific knowledge, and its contestable and testable nature
- Retrieve, analyse, synthesise and evaluate information from a range of sources
- Plan and conduct reliable, evidence-based laboratory and/or field experiments by selecting and applying methods, techniques and tools, as appropriate to one or more science disciplines
- Organise, analyse and interpret scientific data using mathematical, statistical and technological skills
- Convey scientific ideas, arguments and conclusions clearly and coherently through well-developed written and oral communication skills and a variety of media
- Identify, analyse and generate solutions to unpredictable or complex problems by applying scientific knowledge and skills with initiative and well-developed judgement
- Critically review regulatory requirements, ethical principles and, where appropriate, cultural frameworks, to work effectively, responsibly and safely in diverse contexts
- Reflect on current skills, knowledge and attitudes to manage their professional learning needs and performance, autonomously and in collaboration with others
Completion of this major is also intended to provide students with the opportunity to articulate into the Bachelor of Engineering (Hons) (Electronic Systems and Internet of Things major) at the Cairns campus and complete the Bachelor of Engineering with only two additional years of full time study.
Entry Requirements
Entry Requirements
- The entry requirements differ from country to country but in general applicants must have satisfactorily completed 12 years of schooling or equivalent
- Successful completion of the James Cook University Foundation Program will also satisfy the entry requirement
Pre-requisite
- Assumed knowledge: English (Units 3/4,C), Mathematical Methods (3/4,C); or equivalent
- Recommended: At least one of Biology, Chemistry, Earth and Environmental Science, Geography, Marine Science, Specialist Maths or Physics (Units 3/4,C); or equivalent
- Applicants who have not completed high school intermediate level (or equivalent) Mathematics B (or equivalent) must select MA1020: Preparatory Mathematics as part of their study plan to successfully complete the Bachelor of Science
For further information email admissions-singapore@jcu.edu.au
English Requirements
- Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of IELTS 6 (no component lower than 6.0) / TOEFL (Internet Based) 74 (no component less than 18) / Pearson PTE Academic 52 (no component less than 52); or
- Satisfactory completion of James Cook University Singapore English Language Preparatory Program (ELPP); or
- Successful completion of other qualifications completed in English Language deemed comparable to Australian standards within the last two years on a case-by-case basis
Advanced Standing
Students may apply for credit transfer for previous tertiary study in accordance with the Credit Transfer Procedure. Maximum advanced standing up to 48 credit points
Attendance Requirements
- International students holding a valid Student’s Pass are required to attend at least 90% of scheduled classes per month. Failure to attend classes is a breach of the student visa conditions. Being absent from classes for a continuous period of seven days or more, or attendance falling below 90% without valid reasons will result in the student needing to surrender their Student's Pass for cancellation.
- Domestic students must attend at least 75% of the scheduled lecture and tutorial activities to be eligible for assessment.
Career Opportunities
Graduates will be ready for different entry level jobs in this growing industry including, for example:
- IOT Developer
- IOT Architect
- IOT Embedded Systems Designer
- IOT Solutions Engineer
Modules
Course Structure
3 trimesters per year
Study Program
Students are required to complete 24 subjects, including:
7 Core Subjects
- Preparatory Chemistry
- Preparatory Mathematics
- Science, Technology and Truth
- Modelling Natural System
- Quantitative Methods in Science
- Professional Placement or Special Topics 1
1 Subject (Also known as skill subjects)
- Database Modelling
- Introduction to Geographic Information Systems
- Mathematics for Scientists and Engineers
- Linear Algebra
- Data Visualisation
- Sensors and Sensing for Scientists
+ 8 Major Subjects
- Foundations of Data Science
- Mathematical Foundations
- Advanced Statistical Modelling
- Statistical Data Mining for Big Data
- Natural Language Processing, Web Scraping and Large Data Processing
- Neural Network and Deep Learning or Optimisation and Operations Research
+ 9 Elective Subjects
- 2 subjects (Also known as breadth subject)
Introduction to Biological Processes
Chemistry: A Central Science
Chemistry: Principles and Applications
Program Solving and Programming I
Programming II
Engineering 1
Environmental Processes and Global Change
Mathematical Foundation
Mathematical Techniques
Foundation of Data Science
- 3 subjects (Level 2, 3 or 5 Science subjects)
- 2 subjects (Level 1, 2, 3 or 5 subjects)
- 2 subjects (Level 3 or Level 5 subjects)
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12 months
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12 months
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