Executive Master of Data Science and Innovation

Note

C04370 is a 1-year full-time or 2-year part-time course. If you are not qualified, UTS also offers the same course with 2-year and 1.5-year duration entries C04372

This course is designed for professionals seeking to advance their careers by leading in data science and driving innovation within organisations. It offers not only technical proficiency but also the strategic and leadership skills required to excel at the executive level. Through a unique transdisciplinary approach, the program combines cutting-edge data science with industry-relevant experience, preparing students to lead teams and transform business practices.

Students will gain expertise in advanced data analytics, project management, and strategic implementation, tailored to today’s market demands. The curriculum integrates online and in-person sessions at UTS’s state-of-the-art facilities and features real-world data projects with authentic assessments, ensuring learning is both relevant and immediately applicable.

As data grows exponentially across industries, this course equips students to meet the global demand for executive data professionals who can harness analytics to drive business success.

Admission requirements

To be eligible for admission to this course, applicants must meet the following criteria.

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 or C06124 Graduate Diploma in Data Science and Innovation or 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 portflio or professional profile AND 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 requiremenst and expected commitment to complete the course, and a future plan to pursue an executive career / position in data science.

The English proficiency requirement for international students or local applicants with international qualifications is: IELTS Academic: 6.5 overall with a writing score of 6.0; or TOEFL iBT: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

To be eligible for admission to this course, 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 or C06124 Graduate Diploma in Data Science and Innovation or 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 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.

• Chief Data Scientist
• Chief Operating Officer
• Chief Technology / Information Officer
• Data Science Director
• Director Marketing Analytics
• Director of Business Intelligence
• Head of Data and Innovation
• Principal Big Data Architect
• Strategic Data Analytics Analyst