Predictive Analytics
| Study location | Canada, Ontario, Kitchener |
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| Type | Graduate Certificate, College |
| Nominal duration | 1 year/ 2 semesters |
| Study language | English |
| Course code | 1498 |
| Tuition fee | CA$18,430 per year The fee is for the 2022–2023 academic year and includes tuition (CA$14,935), health insurance and ancillary charges. The fees displayed are estimates for two semesters and are subject to change. |
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| Registration fee | CA$400 one-time The registration fee includes the non-refundable application fee (CA$100) and the refundable deposit fee (CA$300). Please REVIEW the EdviseCanada`s fee policy. |
| Entry qualification | Undergraduate Diploma (or higher) To be eligible for admission, you must possess: - A diploma, advanced diploma, degree or equivalent with an overall average grade of B or above in any of these areas:
- A Business Analytics or Information Technology Business Analysis 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. The entry qualification documents are accepted in the following languages: English. |
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| Language requirements | English For direct admission, you must be from an English-speaking country or, you must provide one of the English language proficiency tests below:
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| More information |
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Overview
To be successful in business today, you need to be proactive, forward-thinking, and able to anticipate outcomes and behaviours based upon 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 background in computer science, computer programming, mathematics, or statistics and enjoy working with statistical data, then this could be the program 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 bring together the management, information technology, and business modelling processes in order to make predictions about 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.
Career opportunities
Predictive Analysts make suggestions that can affect positive operational changes in businesses. An analyst using predictive methods can forecast if a specific business change will help reduce risks, improve operations, and/or increase revenue.
Upon completion of this program, you will be able to help any business by analyzing their data to help predict future trends and provide guidance moving forward.
Graduates will find work in various industries such as healthcare, banking, finance, manufacturing, retail, transportation, and many more.