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QS Rank:

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88

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University of Technology Sydney

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New South Wales

Australia

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Program Rank

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90

The Master of Science in Data Science and Innovation at the University of Technology Sydney (UTS) is meticulously designed to equip students with the essential skills and knowledge required to thrive in the rapidly evolving field of data science. UTS is renowned for its commitment to innovative education and research, and this master's program exemplifies that ethos. Over the course of 24 months, students will immerse themselves in a comprehensive curriculum that emphasizes both theoretical foundations and practical applications in the realms of data analysis, machine learning, and business intelligence. The program prepares graduates to tackle complex data-driven challenges in various industries, ensuring they are well-prepared for the demands of the job market.

Students enrolled in the program will explore a diverse range of subjects, including Applied Statistics, Database Systems, and practical applications of Machine Learning. Each course is strategically crafted to provide a balance between foundational principles and cutting-edge techniques, allowing students to apply their learning in real-world scenarios. The integration of hands-on projects and case studies fosters a rich learning environment where students can collaborate, innovate, and apply their skills in a supportive context. This practical focus is further strengthened by opportunities for industry engagement, as UTS collaborates with leading organizations to offer students invaluable insights and experiences in the field.

The faculty at UTS comprises seasoned professionals and academics with extensive expertise in data science and business intelligence. They employ a dynamic teaching methodology that emphasizes active learning, critical thinking, and problem-solving. Faculty members engage students in discussions, workshops, and projects that mirror real-world challenges, thus enhancing the learning experience. Their commitment to mentorship and individualized support empowers students to reach their full potential, and their diverse backgrounds enrich classroom discussions with a variety of perspectives.

Research opportunities abound for students pursuing the Master of Science in Data Science and Innovation. UTS is home to state-of-the-art research facilities and a vibrant academic community dedicated to advancing knowledge in data science and analytics. This includes access to specialized labs, data sets, and collaborative projects that address pressing societal issues. As students engage in research, they have the opportunity to work alongside industry professionals and contribute to groundbreaking studies, further solidifying their expertise and enhancing their resumes.

Career readiness is a paramount focus of the program, as graduates are poised to enter a job market that is increasingly reliant on data-driven decision-making. UTS maintains robust connections with industry leaders, facilitating internship opportunities and networking events that allow students to forge valuable professional relationships. Graduates of the program can pursue a myriad of career pathways, with roles such as Data Scientist, Data Engineer, Business Analyst, and Machine Learning Engineer among the many options available. The average base salary in the field reflects the growing demand for skilled professionals, with UTS graduates earning a competitive median base salary of approximately AUD 80,000 to 85,000.

Why Study Master of Science in Data Science and Innovation at University of Technology Sydney
  • Innovative Curriculum: The program covers essential topics in data science, machine learning, and business intelligence, tailored to meet industry needs.
  • Industry Connections: UTS partners with leading organizations, providing students with internship opportunities and networking events.
  • Expert Faculty: Learn from experienced faculty members who bring a wealth of knowledge and industry experience into the classroom.
  • Research Opportunities: Access to advanced research facilities and collaboration on impactful projects in data science.
  • Career Outcomes: Graduates are well-positioned for in-demand roles across various sectors, with competitive salary prospects.
  • Global Perspective: The program attracts a diverse international student body, fostering a global learning environment.

Admission to the program requires prospective students to meet specific prerequisites and submit necessary documentation, including a transcript, academic letter of recommendation, and a resume. The application process is straightforward, with an application fee of AUD 100 and a standard deadline of August 30th, 2024, for the Summer intake. Additionally, proof of English language proficiency is mandatory, with minimum scores required for standardized tests such as IELTS (minimum 6.5 overall) and TOEFL (minimum 79 overall).

In conclusion, the Master of Science in Data Science and Innovation at the University of Technology Sydney stands out as a premier program that combines rigorous academics with practical experience. With its focus on innovation, industry engagement, and career readiness, students are set to excel in the dynamic field of data science. This program not only equips graduates with the necessary skills and knowledge but also prepares them to contribute meaningfully to the future of technology and data analytics.

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Total Tuition Fees

$92,928

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Duration

24 Months

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Median Salary

$80,000

Ranking

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#162

US World and News Report

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#160

The World University Rankings

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#88

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Intake

Summer ( July - Sept )

Class Profile

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Class Size

200

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Average Age

25

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Average Work Experience

3 Years

Diversity

China:

10%

India:

5%

Others:

11%

Australia:

70%

United States:

4%

Career Outcomes

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Median Earnings After Graduation

$80,000 / year

Prospective Job Roles

Product Manager

Data Engineer

Data Architect

Data Journalist

Journalist

Researcher

Writer

Data Analyst

Data Scientist

Business Analyst

Data Storyteller

Consultant

Statistician

Research Scientist

Software Engineer

Teacher

Data Visualizer

Entrepreneur

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    79

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  • PTE

    58

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 100

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    Transcript

  • intake

    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
SpringApr 30, 2024
SummerAug 30, 2024

Fees and Funding

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Tuition Fees

$46,464 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Technology Sydney offers a variety of scholarships for students pursuing a Master of Science in Data Science and Innovation. These scholarships are based on academic merit, financial need, or a combination of both. The university also offers scholarships from external organizations, such as the Australian Government and the University of Technology Sydney Alumni Association.

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    University of Technology Sydney Alumni Association

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    University of Technology Sydney

FAQs

  • A student can complete Data Science and Innovation at University of Technology Sydney with in 24.

  • The deadline to submit an admission application for Data Science and Innovation at University of Technology Sydney is Application deadline Summer (Standard Deadline) - date - 30/08/2023 ,Application deadline Fall (Standard Deadline) - date - 30/11/2023

  • The application fee to pursue Data Science and Innovation at University of Technology Sydney is AUD 100 for international students.

  • The annual tuition fee to pursue Data Science and Innovation at University of Technology Sydney is AUD 44256.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Technology Sydney. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Technology Sydney requirements before submitting a score.

  • Data Science and Innovation can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of University of Technology Sydney, they can easily pursue Data Science and Innovation . The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at University of Technology Sydney can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Technology Sydney website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Technology Sydney by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

  • This course is offered on a one-year, full-time or two-year, part-time basis.

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