C11305v1 Graduate Certificate in Business Analytics
Award(s): Graduate Certificate in Business Analytics (GradCertBusAnalyt)Commonwealth supported place?: No
Load credit points: 24
Course EFTSL: 0.5
Location: Online campus
Notes
This course is 100% online.
This course is not offered to international students.
Overview
Course aims
Career options
Course intended learning outcomes
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information
Overview
The UTS Online Graduate Certificate in Business Analytics is a unique transdisciplinary program of study in business analytics. With subjects drawn from UTS Business School, the Faculty of Engineering and Information Technology and the Faculty of Arts and Social Sciences, students will be provided with a course structure that fits their background and experience, as well as flexible specialisations to meet new needs and career interests. The course is delivered 100% online, part-time, enabling students to continue to work full-time while attaining the business analytical skills to take control of their career and apply the skills their learn in the course immediately at work, regardless of their industry.
The Online Graduate Certificate in Business Analytics is tailored to professionals who want to diversify their career options and gain the agility, confidence and competence to influence organisational decisions through data. Unique to UTS Online, students will apply industry relevant skills to their professional situation in the Foundation and Innovation Studios. Regardless of the type of industry they are in, the studios provide a space to apply their learnings and identify, design and facilitate data-driven solutions to influence organisational change.
Course aims
This course will develop students' learning agility to secure a career in a world where it’s essential to harness the power of data. Demand for business analytics professionals is rapidly growing across industries, broadening career opportunities like never before.
Career options
The course is suitable for students from both business and IT backgrounds looking to upskill and develop the skills required to meet the growth in emerging careers in business analytics. Career options are incredibly varied as most companies across all industries collect huge amounts of data that needs to be interpreted and analysed to inform key decision-making. Graduates from this program are able to provide valuable insights on matters including fraud detection, and logistics optimisation through to customer acquisition and retention and demand forecasting.
Course intended learning outcomes
| 1.1 | Apply data analysis techniques to business information to generate knowledge for local and international contexts |
| 2.1 | Select and apply appropriate analytical, quantitative and computer modelling techniques to identify business problems and formulate options |
| 3.1 | Convey information clearly and fluently in written and verbal form appropriate for the problem, data and stakeholders |
| 3.2 | Interact with colleagues and stakeholders to work effectively towards agreed outcomes |
| 4.1 | Demonstrate understanding of principles of sustainability, ethical and social responsibility as well as Indigenous values relating to professional practice in data analytics |
| 5.1 | Demonstrate technical and adaptive skills in data analytics relevant to business contexts |
Admission requirements
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.
The bachelor's degree should be in a related field, within the business or information technology disciplines.
Applicants who do not meet the minimum academic requirement may still be considered on the basis of a minimum of four years full time, or equivalent, relevant work experience.
The relevant work experience must be demonstrated through a C.V. and a Statement of Service, confirming the dates of employment and the position held within the organisation.
The English proficiency requirement for local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.
Eligibility for admission does not guarantee offer of a place.
Recognition of prior learning
Students in the Graduate Certificate in Business Analytics are not granted exemptions for any prior studies.
Course duration and attendance
The course is offered online on a part-time basis.
Course structure
The course comprises a total of 24 credit points and consists of a combination of core and foundation stream subjects.
Students with a business background select STM91450 Foundation in IT stream (Business Analytics) (information technology foundation subjects) and students with an information technology background select STM91451 Foundation in Business stream (Business Analytics) (business foundation subjects).
Course completion requirements
| CBK91894 Foundation Option (Business Analytics) | 12cp | |
| 260776 Foundation of Business Analytics | 3cp | |
| 260777 Data Processing Using SAS | 3cp | |
| 570100 Data Ethics and Regulation | 6cp | |
| Total | 24cp |
Course program
A typical course program is provided below, showing the recommended study sequence to ensure completion of the course within the expected duration. Refer to the Timetable Planner for confirmation of availability.
The detail course program is available at study plan management.
Articulation with UTS courses
This course is part of an articulated program comprising the Graduate Certificate in Business Analytics, and the Master of Business Analytics (C04412).
Other information
Further information is available from the UTS Business School on:
telephone 1300 ask UTS (1300 275 887)
email business@uts.edu.au
Business (Postgraduate)