Master of Business Administration (Finance)
The Master of Business Administration (Finance) program at UniSA is a testament to the ...
Master of Data Science
Mawson Lake - Adelaide
INTAKE: Jul & Feb
Program Overview
The Master of Data Science program at the University of South Australia epitomizes the institution's dedication to addressing the burgeoning demand for data-driven professionals. It is designed to provide students with a comprehensive understanding of data science, equipping them with skills vital for success in this data-centric world.
Curriculum: The curriculum of the Master of Data Science program at UniSA is meticulously designed to cater to the ever-evolving field of data science. Students can expect to delve into an array of subjects, including data analysis, machine learning, statistical modeling, and big data technologies. The curriculum is continually updated to ensure that students are exposed to the latest industry-relevant knowledge and tools.
Research Focus: The program places a strong emphasis on research, allowing students to engage in cutting-edge data science projects. UniSA is celebrated for its state-of-the-art research facilities and faculty members with profound expertise in data science. This provides students with the opportunity to participate in pioneering research projects and contribute to the advancement of the field.
Industry Engagement: A distinguishing feature of UniSA's Master of Data Science program is its robust industry connections. The university collaborates closely with various industry players, including data-driven companies, tech firms, and government agencies. Such collaborations enable students to gain practical experience through internships, real-world projects, and networking opportunities. This integration of industry experience into the curriculum ensures that graduates are ready to meet the demands of the data science job market.
Global Perspective: In today's interconnected world, a global perspective is essential for a career in data science. UniSA integrates global considerations into its curriculum, exposing students to international case studies and industry practices. Students may also have the opportunity to study abroad or collaborate on international research projects, fostering a comprehensive understanding of data science on a global scale.
Location
Mawson Lake - Adelaide
Score
IELTS 6.5
Tuition Fee
AUD 38500
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at UniSA should typically have completed their prior education with a minimum academic achievement of 65% or above. The specific entry requirements may vary by program.
English Language Proficiency:
- IELTS (International English Language Testing System): Overall Band Score: 6.5 or 7.0 (with no band score less than 6.0) For certain programs, a higher IELTS score may be required.
- TOEFL (Test of English as a Foreign Language): overall score of 60 is generally accepted, with minimum section scores of 18 for listening, 18 for reading, 18 for writing, and 18 for speaking.
- PTE (Pearson Test of English): A minimum overall score of 50is typically expected, with a minimum score of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
The University of South Australia (UniSA) is dedicated to promoting diversity and academic excellence by offering a range of scholarships to international students.
Vice Chancellor's International Excellence Scholarships: These scholarships are aimed at high-achieving international students who demonstrate academic excellence. They offer financial support for tuition fees, and in some cases, a living allowance. Eligibility is based on academic merit.
International Merit Scholarships: UniSA's International Merit Scholarships are designed to reward outstanding academic performance. These scholarships are available for undergraduate and postgraduate coursework students. Eligibility criteria are based on academic results.
UniSA Study Grants: UniSA Study Grants provide partial tuition fee waivers for international students, making quality education more accessible. The eligibility criteria may include academic performance and the chosen course of study.
Destination Australia Scholarships: These scholarships are funded by the Australian Government to support international students studying in regional areas. UniSA participates in this program, offering scholarships to eligible students.
Research Scholarships: For international students pursuing research degrees (Ph.D. or Masters by Research), UniSA offers a range of research scholarships. These scholarships often cover tuition fees and provide a stipend for living expenses. Eligibility is typically based on research potential and academic qualifications.
Industry and Career-Ready Scholarships: UniSA collaborates with industry partners to offer scholarships that provide not only financial support but also work-integrated learning opportunities. These scholarships can be an excellent pathway to a successful career.
Upon completing the Master of Data Science program at the University of South Australia, graduates are primed for diverse and promising career paths.
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Data Scientist: Graduates can work as data scientists, applying their skills to analyze and interpret complex data for decision-making in a multitude of industries.
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Machine Learning Engineer: Machine learning engineers design and develop algorithms for machine learning models, creating solutions for automation and data-driven tasks.
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Business Intelligence Analyst: These professionals help businesses make informed decisions by collecting, analyzing, and interpreting data.
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Data Analyst: Data analysts specialize in collecting and interpreting data, identifying trends, and providing valuable insights to organizations.
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Big Data Engineer: Graduates can pursue careers as big data engineers, managing and optimizing large-scale data infrastructure.
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Research Scientist: With a strong research focus, graduates can contribute to pioneering research projects in data science and related fields.
