Master of Professional Studies in Data Science
- Public University
- Faculty of Science
Master of Professional Studies in Data Science at University of Auckland Overview
Duration | 1 year |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹24.85 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
Master of Professional Studies in Data Science at University of Auckland Highlights
- The Master of Professional Studies specialising in Data Science concentrates on the application of data management and data analysis skills to a professional domain, such as business.
- Completing an MProfStuds can make students readily identifiable as holding the skills to participate in your chosen field and contribute to its advancement.
- Apply techniques from large-scale data management, data mining, machine learning, statistical modelling and statistical analysis to relevant domains
Master of Professional Studies in Data Science at University of Auckland Curriculum
Latest curriculum for Master of Professional Studies in Data Science at University of Auckland can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at University of Auckland
Master of Professional Studies in Data Science at University of Auckland Rankings
Master of Professional Studies in Data Science at University of Auckland Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/9
- Read less
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Applicants must have completed one of the following:
- A four-year bachelors degree (which includes one year of postgraduate-level study)
- A one-year postgraduate degree
- A bachelors degree and a one-year professional qualification or three years professional experience relevant to the area that you would like to study.
Applicants will need a GPE of at least 3.0 and for some specialisations a higher GPE will be required.
- To enrol in the Education specialisation they need to have at least three years’ teaching experience.
- To enrol in the Mathematics Education specialisation they need to have at least three years’ teaching experience and currently hold a teaching position.
- To enrol in the Teaching Chinese in Schools specialisation they need to have attained a proficiency level in Chinese of at least HSK Level 5 or equivalent.
- To enrol in the Translation specialisation you need to have an IELTS Academic overall score of 7.0 with no bands less than 6.5. Alternatively, for non-native speakers of English, you need to have at least three years of tertiary education in the English medium.
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Writing score of 21
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Out of 10
- No specific cutoff mentioned
- With no communicative skills score below 50
- No specific cutoff mentioned
- No bands less than 6.0.
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Yes
- The university offers conditional admission for students. If applicants have a conditional offer of place, they will need to meet all the conditions before they can enrol
Master of Professional Studies in Data Science at University of Auckland Application Process
Master of Professional Studies in Data Science at University of Auckland Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 24,85,394 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 8,21,683 |
Insurance | INR 39,998 |
Student Services Fee | INR 54,713 |
Books and equipment | INR 49,380 |
Application Fee | INR 4,938 |
Total approximate fees | INR 9,70,712 |
Calculated at the exchange rate of 1 NZD = INR 49.38 | Tuition & expenses were last updated on 20ᵗʰ December 2024
Master of Professional Studies in Data Science at University of Auckland Scholarships
University of AucklandStudents Ratings & Reviews
- Academically oriented
- Multi-dimensional
- Friendly
- Liberal
- 42% students never faced discrimination in this university
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