University of Adelaide MS Data Science: Fees, Living Costs, Test Scores, Visa Process, Work during Study, Entry Requirements.

University of Adelaide M.Sc Data Science Fees, Eligibility, Admission & Deadlines

Adelaide, South AustraliaLocation
UniversitySchool type
Estd1874established year
27094enrollment
Public
Partner [24 Courses]
7.3/10

Master of Science [M.S] (Data Science)

2 years
Full Time
On Campus
College Partner

$35,190 /Yr

A$51,000 /Yr
15 Students Applied
14 Students Admitted
  • The program will help students understand how data is changing our world, and how learners can apply data science techniques to drive changes in their organization or area.
  • In the Master of Data Science, students undertake a specialized introductory program in their first semester, designed to address fundamental requirements in programming, mathematics, and data science.
  • Students then proceed with a program of courses tailored to their particular interest, building skill and knowledge in data science, as well as a significant project designed to combine skills developed across the program.

Important Dates

There Is No Specific Application Deadline. It Is Advised To Apply 6 Weeks Before The Commencement Date Of The Program.

Tuition Fees

Year1st Year Fees
Tuition Fees$35190 (AUD 51000)

Other Expenses

HeadAvg Cost Per Year
Room and Board$10636 (AUD 15415)
Food$3729 (AUD 5405)
Books and supply$345 (AUD 500)
Total Cost$14710 (AUD 21320)

Fees of the program is $48500


Eligibility & Entry Requirement

Acceptance Rate 75%
Academic Requirement Applicants must have a bachelor degree or equivalent with a GPA of 4.5 in any discipline from an accredited university
English Language Proficiency Score TOEFL : 79 | IELTS : 6.5 | PTE : 58
Documents Required
  • Online Application Form
  • Official Transcripts (bachelor degree)
  • Resume/CV (Professional)
  • Statement of Purpose (You should describe your reasons and motivations for pursuing this degree)
  • Three References (From you past employee)
  • Proof of English Proficiency Score (TOEFL | IELTS | PTE)
  • Students Visa (if available)
Application Deadline 31st Oct 2023 (For 2024 Intake)
Application Fees AUD 110(INR 5893)
Decision Time Within 6 weeks
Interview Video Interview

Scores Required

79 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

58 / 90

Avg. Score in

PTE

Similar Programs

ProgramImportant DateTotal FeesMedian Exams ScoreAction
Application Deadline For Semester 2 Intake (3rd Jun 2024)
USD 35,024 /Yr
AUD 50,760 /Yr
  • IELTS: 6.5
  • TOEFL: 80
  • PTE: 64
Application Deadline For 2025 Intake (22nd Jul 2024)
USD 25,315 /Yr
AUD 36,688 /Yr
  • TOEFL: 82
  • IELTS: 6.5
  • PTE: 58
Application Deadline For Fall Intake (6th May 2024)
USD 8,901 /Yr
AUD 12,900 /Yr
  • IELTS: 6.5
  • TOEFL: 86
  • PTE: 58
Application Deadline For Feb 2025 Intake (31st Oct 2024)
USD 39,324 /Yr
AUD 56,992 /Yr
  • TOEFL: 102
  • IELTS: 7
  • PTE: 65
Application Deadline For Summer Intake (30th Aug 2024)
Application Deadline For Autumn Intake (30th Nov 2024)
USD 32,060 /Yr
AUD 46,464 /Yr
  • TOEFL: 79
  • IELTS: 6.5
  • PTE: 58

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Career and Placement after Course

Career Outcomes After Completing From University of Adelaide MS Data Science program you might start your career as a Database Coordinator | Systems Analyst | Business Analyst | Business Consultant | Business Data Analyst | Computer Scientist | Data Analyst | Data scientist

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
University of Adelaide Research ScholarshipsScholarship per student$ 22,425/Yr$32,500Level Of StudyDoctorateTypeCollege-Specific
University of Adelaide Family ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
Eynesbury College International ScholarshipScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
Axol Science ScholarshipScholarship per student$ 1,380/Yr$2,000Level Of StudyBachelorTypeCompany-Sponsored
VueVille Future Technology ScholarshipScholarship per student$ 690/Yr$1,000Level Of StudyBachelorTypeMerit-Based
ASID Foundation Legacy ScholarshipsScholarship per student$ 2,760/Yr$4,000Level Of StudyBachelorTypeMerit-Based


Programs Comparison

application--
why to opt?

Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities.

This Master of Data Science places you at the forefront of this new field.

This program gives you the knowledge and skills to discover patterns and generate insights from complex datasets. The flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and data science industry internship, to launch you into your next career


The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry. By completing a strong core of Computer Science and Statistics courses, you will gain a unique combination of skills in Data Science and be able to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals and further postgraduate study.


exam scoresIELTS - 6.5/9PTE - 58/90TOEFL - 79/120GRE - 299/340IELTS - 6.5/9PTE - 58/90TOEFL - 90/120
Admission Criteria/Better to Have

Bachelors degree in a relevant field with Mathematics subject


Bachelor of Science in Data Science or a Bachelor of Science with a major in Computer Science and a major in Statistics


cost to studyTotal Cost (Tuition + Living) -USD 33465Total Cost (Tuition + Living) -USD 33549.18
application datesDec 20, 2023 (Application Deadline)
Dec 8, 2024 (Application Deadline For 2025 Intake Semester 1)
Jul 4, 2025 (Application Deadline For 2025 Intake Semester 2)
-Read Full Comparison

Reviews


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12 Reviews Found

NM
7.8 /10

The experience was good. I got to learn a lot about Machine Learning. I met with some amazing people, had group tasks and improved a lot on some social skills. The assignments are challenging and it may take lot of time but will surely enhance your confidence on a particular topic. In case of any doubts, there are people sitting to clear your doubts in university. In addition to that there are workshops where you will have to test your code and professor will review and check your understanding. I mostly learned how you can take ownership of your own content and how to connect with people and ask for their help.

academic: 10/10
faculty: 10/10
infrastructure: 10/10
accomodation: 10/10
placement: 7/10

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