MASTER OF DATA SCIENCE (DEFAULT SPECIALISATION)
The Master of Data Science (MDS) provides students with comprehensive mastery of all aspects of knowledge and skills related to data science and an opportunity to focus on specialised technical, theoretical or managerial skills through the choice of one specialisation. The MDS places an emphasis on professional practice, effective communication, and project management using technical and non-technical approaches. Students will acquire extensive and deep knowledge to enable them to successfully design, implement and manage data science based solutions in complex real-world applications. Students will become confident in utilising the latest technologies in the data science, significantly enhancing their prospects in career development or entrepreneurship.
Students can nominate a specialisation that allows them to fulfil their own particular interests, their own industry needs, or their own career goals. In particular, students may choose to gain expertise in Artificial Intelligence if they choose not to proceed with the default specialisation.
The MDS is designed for students who have limited experience in, or have been seeking a qualification in, data science. The degree also caters for candidates who already have a sound data science background but wish to update and develop their knowledge and skills to keep pace with the rapid changes in technology and the business opportunities related to the latest advances in data science.
To qualify for the award of the Master of Data Science, a candidate must: – Complete 9 common core units with an accrued total of 66 credit points, including 18 credit points of a capstone project unit or industrial experience project unit; – Complete 3 specialisation core units with an accrued total of 18 credit points; – Complete 2 elective units with an accrued aggregate of 12 credit points.
To qualify for the award of the Master of Data Science, a candidate must:
– Complete 9 common core units with an accrued total of 66 credit points, including 18 credit points of a capstone project unit or industrial experience project unit;
– Complete 3 specialisation core units with an accrued total of 18 credit points;
– Complete 2 elective units with an accrued aggregate of 12 credit points.
Note - Total Tuition Fee is estimated.
For More Information Pls Contact To Our PSA Counselor.
Intakes
- March
- July
- Oct
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Student Capabilities
What skills will SPI students bring to your project?
Professional-Level Expertise
Students understand data science methods, tools, and technologies.
Mathematical Modelling
Competence in synthesising abstract concepts to solve data science problems.
Proficiency in Machine Learning
Skilled in machine learning, data mining, and computational statistics.
Ethical Awareness
Knowledgeable in documenting and communicating ethical and legal issues related to privacy and security.
Innovative Problem-Solving
Ability to integrate cognitive and technical skills for innovative solutions.
Effective Communication
Capable of explaining solutions to both technical and non-technical audiences
PSW Opportunity
Post Study Work Steam Renames to Post Higher Education Work Steam.
- Bachelor degree holders including honours can get upto 2 years of post study stay
- Master by course work and extended (with a duration exceeding 2 years) can stay upto 2 years
- Masters by research (with a duration exceeding 2 years) and PhD holder can stay upto 3 years
- The Maximum eligible age to apply for PSW will be reduced to 35 years of age from 50 years of age for all applicants
Due to the Australian Indian Economic Cooperation and Trade Agreement signed by the 2 countries, according to which:
- Indian students completing bachelor degree including honours can stay upto 2 years
- Bachelor degree with First class honours in STEM including ICT can stay upto 3 years
- Masters by coursework in extended researched (with a duration exceeding 2 years) can stay upto 3 years
- PhD students can stay upto 4 years
Admission Requirement / Eligibility Criteria
English language proficiency
- IELTS Academic - A minimum result of 6.5 overall and a minimum result of 6.0 in each subtest; or
- PTE Academic - A minimum result of 58 overall and a minimum result of 50 in each subtest; or
- TOEFL IBT score - A minimum result of 79 overall including a minimum result of 21 in Writing, 13 in Reading, 12 in Listening and 18 in Speaking; o
- TOEFL PBT score - A minimum result of 550 overall including a minimum result of 4.5 in Writing
The results of the English Test must be valid and the test should have been taken no more than 3 years prior to the commencement of the program at SPI
- Course Code: 112062K
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
52800 AUD
Average Cost of Living: 29710 AUD /year
Application Fee: N/A