Talk to ExpertPredictive Analytics Diploma at UWinnipeg Overview
International students can pursue Predictive Analytics Diploma at PG level at University of Winnipeg. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL, PTE and Duolingo to be eligible for the course. The University fees for international students for Predictive Analytics Diploma is around CAD 21,850 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 1 year |
Tuition & Fees | ₹13.75 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Diploma |
Predictive Analytics Diploma at UWinnipeg Fees
The fee structure for the Predictive Analytics Diploma at the University of Winnipeg covers the first-year tuition fees along with other additional charges, including the Books and supplies charges; facilities cost and many more offered by the University of Winnipeg. Other than tuition costs, students need to pay living expenses that cover various factors like rent, food, transportation, utility, and other personal expenses. The average cost of living is CAD 13,014. The total tuition fees for the first year of Predictive Analytics Diploma is CAD 21,850.
Find more details about University of Winnipeg Predictive Analytics Diploma on the fee breakup, from the table mentioned below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 13,75,021 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,18,971 |
| Insurance | INR 84,956 |
Calculated at the exchange rate of 1 CAD = INR 62.93 | Tuition & expenses were last updated on 17ᵗʰ December 2024Download exam sample paper
Predictive Analytics Diploma at UWinnipeg Entry Requirements
- No specific cutoff mentioned
- N/A
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- International students are required to hold a minimum of an undergraduate degree in Business, Computer Science, Engineering, Mathematics, Statistics, or Physics
- In lieu of an undergraduate degree in the above fields, a combination of a bachelor degree AND work experience involving analysis of data in an organizational or applied research context may be considered on an exceptional basis
- Advanced Programming knowledge is strongly recommended
- The Cumulative Grade Point Average (GPA) or Final Percentage on these transcripts will be assessed for eligibility.
- If a higher degree is attained (post-graduate diploma, Master’s, or PhD) the minimum GPA or percentage must be attained in all degrees
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- with no less than 19 in each component
-
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 58/90
- NA
- No specific cutoff mentioned
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- 6.0 in Reading and Writing
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 120/160
- NA
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
- Minimum: 24 months
- Predictive Analytics Diploma applicants must have a minimum of two years of professional work experience in applied computer science, applied statistics, engineering, or a business role involving the use/analysis of data
Predictive Analytics Diploma at UWinnipeg Application Process
- Two Letters of Recommendation are required
- Academic transcripts
- Proof of English Language Proficiency
- Personal Statement
- Proof of Citizenship
- Proof of Name change (if applicable)
- Proof of Degree Awarded
Predictive Analytics Diploma at UWinnipeg Highlights
- Graduates of this program master a range of analytical models to become strategic leaders in any industry
- This program builds foundational skills in data science with a specialization in the use of predictive models to forecast outcomes
- Students will learn to apply data science and predictive modelling to provide insights, predictions, and operationalize the use of data for competitive and social benefits within an organization
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