FAQs

For the C04370 Executive Master of Data Science and Innovation applicants must have one of the following:

• Completed Australian bachelor's degree, or overseas equivalent, or higher qualification, in a relevant discipline (listed below) AND a minimum of five (5) years full-time, or equivalent part-time, management work experience AND among all work experience, a minimum of two (2) years in a relevant professional occupation (listed below).  
• OR Completed Australian doctorate, master’s degree, graduate diploma, graduate certificate, or honours degree, or overseas equivalent, in a relevant discipline (listed below) AND a minimum of five (5) years full-time, or equivalent part-time, management work experience.
• OR Completed Australian bachelor's degree, or overseas equivalent, or higher qualification AND a minimum of five (5) years full-time, or equivalent part-time, management work experience AND among all work experience, a minimum of three (3) years in a relevant professional occupation (listed below).  

Applicants who do not fully meet the work experience requirements may still be considered for an offer. Those applicants may be requested to attend an interview to verify their career seniority and to assess their suitability for the course.

Applicants who do not meet the criteria above should consider applying for 

• C04372 Master of Data Science and Innovation
• C06124 Graduate Diploma in Data Science and Innovation
• C11274 Graduate Certificate in Data Science and Innovation.

Relevant disciplines:

Natural and Physical Sciences, Information Technology, Engineering and related technologies, Accounting, Business and Management, Sales and Marketing, Banking, Finance and related fields, Economics and Econometrics

Relevant professional occupations (ANZCO classification):

135 ICT Managers, 2211, 224 Information and Organisation Professionals, 225 Sales, Marketing and Public Relations Professionals, 233 Engineering Professionals, 234 Natural and Physical Science Professionals, 26 ICT Professionals, 313 ICT and Telecommunications Technicians

Supporting documentation to be submitted with the application:

• Curriculum Vitae or electronic portfolio or professional profile AND a Statement of service in one of the following formats:
• A 'Statement of Service' provided by the employer 
• A completed 'UTS statement of service’ signed by the employer
• A statutory declaration confirming work experience (for Australian Residents only)
• An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
• A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)
• Applicants may also submit an optional personal statement, providing additional information to support their application, such as motivation, demonstrated interest, knowledge, skills, experience, understanding / awareness of the course requirements and expected commitment to complete the course, and a future plan to pursue an executive career / position in data science.

English language requirements: 

IELTS Academic: overall 6.5, writing 6.0 TOEFL iBT: overall 79, writing 21 UTS College AE5: Pass Pearson PTE: overall 58, writing 50 Cambridge C1A/C2P: overall 176, writing 169   

Recognition of prior learning

No recognition of prior learning is considered for the C04370 Executive Master of Data Science and Innovation - however for the other courses within the Data Science and Innovation suite, RPL may be taken into consideration.

Basic knowledge in maths and statistics is assumed. Coding or programming experience will help but are not required. If you feel that your skills aren’t up to speed, we recommend taking relevant short courses or using one of your electives in your first semester.

You can find out more about what course fees by using the UTS course fee calculator tool for domestic students.

To use the calculator, choose:

• 'search for fees by course'.
• fee type 'Postgraduate Domestic Coursework'
• fee year
• cohort
• course area ‘Transdisciplinary Innovation’
• course code

To calculate the total cost of the course, multiply the 'Total CP' by the ‘Fee per CP'.

Note: Commonwealth supported places are not available for the Data Science and Innovation courses.

Already completed a UTS degree?

If you've already completed a degree at UTS, then you're eligible for the Alumni Advantage program, which offers a 10 per cent savings on full fee-paying degree programs.

Find out if you're eligible at Alumni Advantage.

If you do have to pay a fee and you’re a local student, you may be eligible for FEE-HELP, an Australian Government loan scheme. Using FEE-HELP means you don’t have to pay for your tuition fees up front. More information can be found at uts.edu.au/government-help-schemes.

You can choose to repay your FEE-HELP loan simply by notifying your employer who will then withhold your payments through the PAYG tax system. You can also make payments directly to the Australian Taxation Office (ATO).

If you’re an international student, head to uts.edu.au/international to find the course information, fees and application details relevant to you.

See our career options page.

Our programs are designed to be as flexible as you need. 

The C04370 - Executive Master of Data Science and Innovation is a 1-year full-time or 2-year part-time course. 

And depending on your qualifications and work experience, our C04372 - Master of Data Science and Innovation is either 2 years OR 1.5 years in duration (full-time) - and the part-time equivalents. 

The only requirement is you must do at least one subject in your first semester. 

Classes are usually held after 6.00pm on weekdays and all-day Saturdays. They’re also not held every week, so a typical subject may have three evenings (6-9pm) and two Saturday session (9am-5pm) over the semester. A full-time load is three subjects, so it is possible to schedule class around full-time work. What students usually find the most challenging is finding time for assessments and other pre-class work, which is often why students elect to study part-time.

To understand what your study schedule may look like, check out the UTS class timetable builder. You will find a list of the course subjects in the UTS Handbook under course program.

This varies depending on which course you enrol in. 

For more detailed information on the course structure and each of the subjects, visit our UTS Handbook.

Our Data Science and Innovation courses are delivered via a blended mode, which means there are classes held on campus, where students get the opportunity to network and learn from renowned academics. Students are also expected to use online content outside of class to carry on working both independently and collaboratively.

Find out more about the application process and everything else you need to know on our how to apply page.

The maximum amount of credit the Transdisciplinary School allows for recognition of prior learning is one-half (50%) of the total course credit point requirement for a postgraduate course. 

Recognition of prior learning is not granted for Graduate Certificate and Executive Master of Data Science and Innovation. 

For details on RPL for the Master of Data Science and Innovation, please refer to course information here.