| Course Name: | Masters of Data Science |
| Course Institution: | The University of Sydney |
| Course Department: | Faculty of Engineering |
| Course Duration: | 12 month(s) |
| Course Fee: | INR 2300000 |
| Course Mode: | Full Time Regular Classroom |
| Course Location(country): | Australia |
| Course Location(city): | Sydney |
| Course Level: | Masters |
The Masters of Data Science course by the University of Sydney aims to equip development and provide a holistic knowledge of data-reliant-businesses data becomes the is the new currency of the world. Data has increasingly become a vital asset to any organization. It holds valuable insights into areas like customer behavior, operational performance, and market intelligence. Data scientists build intelligent systems to interpret, manage, derive key knowledge, and understand from big data sets. If you belong to a strong mathematical background, this degree will develop your technical & analytical skills using data science to guide strategic decisions.
The program prepares to create value, business models, and strategies from data mining, which help understand market trends, product value, among other relevant insights.
Leveraging the university’s research strengths, you will explore the latest in machine learning, data visualization, and data mining while effectively communicating data insights to key stakeholders.
Why should you do a Masters of Data Science course?
We know that modern businesses look at data as its new currency. According to McKinsey reports, a lot of insights and values can be generated through data processing and analysis. Therefore a data scientist’s role is quite sought after these days. It is often said that data scientists are like today’s superheroes. But, most people don’t know the value of a data scientist in an organization. Data Science is the trending field with a lot of exciting opportunities for candidates who want to run the businesses of tomorrow.
The Masters of Data Science program is a professional degree for those who are driven about drawing knowledge from data to make business decisions or research output. It develops your technical and analytical skills to use data science to drive strategic decision-making in your area of expertise. It also offers the flexibility to customize learning to your personal & professional interests.
The program stresses the importance of theory and the application of theory in practice through projects and practical exercises.
Why should you study the Master of Data Science at the University of Sydney?
The University of Sydney has been challenging traditions for more than 160 years. It has made lives better by producing society’s leaders so they can serve our communities at every level.
First, the university has regularly been ranked in the world’s top 50 universities for its excellence in research and teaching makes service.
Second, the masters of data science program designed to develop an integrated and advanced knowledge of the AI technologies with a detailed understanding of the application of AI algorithms across various domains and applications, including computer vision and speech processing. Students learn to develop, design, and implement software solutions that incorporate novel AI applications.
Lastly, The University of Sydney has been ranked as the 1st for employability. Graduates from this program are ranked 1st in Australia and 4th globally for employability by the 2020 QS Graduate Employability Rank.
Curriculum
Duration
The program duration for Master of Data Science at The University of Sydney, Australia, is available on-campus as a 1-year full-time program.
Eligibility Criteria
Interested students for Master of Data Science, can apply by meeting the following eligibility criteria for each option:
Admission requirements
- A four-year Australian bachelor’s degree with honors in a quantitative discipline* with a 65% minimum credit average, or
- An equivalent qualification with a research component/an Australian master’s degree in a quantitative discipline* with a minimum credit average (65 percent), or equivalent qualification, or
- The University of Sydney Graduate Certificate in Data Science with a minimum credit average (65 percent), or higher/equivalent qualification
English language requirements
- A minimum overall band score of 6.5 on (Academic) IELTS with sub-score not below 6.0, OR
- A minimum TOEFL score of 575, OR
- An internet-based TOEFL score of 79 (no sub-score below 19)
- OR an overall Pearson Test of English (Academic) score of 58, with the score not below 50.
The test results of English must not be more than two years old.
Fees
The estimated fee for the entire program duration is INR 2300000.
Centers
The Masters of Data Science program by the University of Sydney is available at Camperdown/Darlington campus —
The University of Sydney
City Road,
Camperdown/Darlington
NSW 2006
How To Apply
Students can apply for the Master of Data Science program by directly applying to the following steps:
- Choose your course
- Check the admission criteria for the course.
- Gather your required documents
- Understand the fees you need to pay
- Financial support options: loans, bursaries, and scholarships here
- Submit your application through the online portal here
Important Dates
Students are recommended to apply on or before the start of sessions.
Starting date for the session —
Semester 1 (February) and Semester 2 (August)
Career Opportunities
The Master of Data Science program provides the necessary knowledge, skills, and experience. It equips students to act independently as a data scientist within any application domain.
It provides training to support several career paths by:
Honing data skills at the edge of machine intelligence research to become a data scientist for hire; up-skilling to build intelligent data-driven systems in an existing area of expertise (e.g., mining analyst); improving scientific research training in data management, analysis, and modeling.
Furthermore, the program allows future study options. The university is a research-intensive institution. Students can focus their research on algorithms, applications, enterprise computing, human-centered computing, & IT applications.
You may have a look at our extensive coverage on other analytics courses. Disclaimer: This information is based on the research carried out by AI Monks. The information in this article should be used only for indicative purposes. AI Monks is not responsible for any information that may be different from the actual scenario.