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master

Degree

Graduate Certificate in Predictive Analytics

Course code: #1498

master

Degree

Graduate Certificate in Predictive Analytics

Quick facts

  • Tuition

    $14,935 CAD

  • Application fee

    $100 CAD

  • Duration

    1 year

  • PGWP

    1 year

  • Min GPA

    3 out of 4

Deadlines

Term start & deadline Deadline
Fall-September 01-February-2022 2022-02-01
Winter-January 08-January-2023 2023-01-08
Spring-May 07-May-2023 2023-05-07
Fall-September 01-February-2023 2023-02-01

Overview

Graduate Certificate in Predictive Analytics

To be successful in business today, you need to be proactive, forward-thinking, and able to anticipate outcomes and behaviours based on the data you collect.

Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behaviour patterns. 

If you have a computer science, programming, mathematics, or statistics background and enjoy working with statistical data, this program at Conestoga College is the one for you. 

In this Ontario College Graduate Certificate in Predictive Analytics, you will learn about statistical applications for data analysis, data modelling practices, and big data analytical techniques. 

Through individual and group activities and case studies, you will use predictive modelling and analytical techniques to combine the management, information technology, and business modelling processes to predict future trends. 

Businesses and industries can use the patterns found in the data to identify risks and opportunities for future decisions and effectively interpret data for their benefit.

Estimate your cost

Residency
Count of person

$22,135

Total costs

yearly

Details


Cost of living 1 person $7,224
Accommodation 1 bed room $7,200
Tuition 1 person $14,935

Hourly wage

Min wage

15.50 CAD / 1 hour

in Canada every student can work 20 hour per week

Required documents

  • Academic/Official Transcripts
  • Language Proficiency (If Applicable)
  • Passport or Visa Documents
  • Work Experience Documents (If applicable)

Language requirements

GRE
not required
GMAT
not required

IELTS

6.5
6
listening
6
writing
6
speaking
6
reading

TOEFL

88
-
listening
-
writing
-
speaking
-
reading

PTE

58
-
listening
-
writing
-
speaking
-
reading

Cambridge

-
listening
-
writing
-
speaking
-
reading
Language pathway (conditional offer) is available
  • CAEL: 70, no sub-test band score less than 60
  • Conestoga English Language Test (CELT): Band 6

Conestoga offers a language program for students whose English language skills are below the standard required for admission but have met all other admission criteria.

You will be eligible for admission to the degree program after completing level 4 of the General Arts and Science - English Language Studies (ELS) program with an overall grade average of 80% and no grade less than 75%

Your placement in the ELS program is determined by scores on an in-house English language test or TOEFL or IELTS.

For more details, visit this page.

Conestoga English LevelIELTS Academic
Overall Band
TOEFL iBTPearson Test of English
(PTE) Academic
Level 10-2.50-29 
Level 2

3.0-4.0

No band less than 2

30-45 
Level 3

4.5-5.0

No band less than 4.5

46-6036-45
Level 4

5.0-6.0

No band less than 5

61-7946-52
 
Direct entry to most diploma & certificate programs*

6.0

No band less than 5.5

8053-57
Direct entry to graduate certificate and degree programs**

6.5

No band less than 6

8858-60

Academic background and requirement

  • An Ontario College Diploma, Advanced Diploma, Degree or equivalent with an overall average grade of B or above (as assessed, by country, to Ontario standards) in any of these areas:
    • computer science OR
    • computer programming/analysis OR
    • A Degree in mathematics or statistics OR
  • Applicants must have successfully graduated from the Business Analytics or Information Technology Business Analysis Ontario Graduate Certificate OR equivalent Graduate Certificate in other relevant disciplines that offer a significant level of analytics in their curriculum (such as health informatics). OR
  • A minimum of 3 years of related industry/professional experience.

Career opportunities

  • Data Scientist
  • Project Coordinator
  • Product Analyst
  • Predictive Analytics Actuary
  • Risk Adjustment Manager

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