

Certificate in Applied Data Analytics
- Public University
Certificate in Applied Data Analytics at BCIT British Columbia Overview
The British Columbia Institute of Technology is a popular destination among international UG students interested in starting Certificate in Applied Data Analytics from abroad. The program lasts for a duration of 20 months. The Certificate in Applied Data Analytics program is considered part of the top ranked courses in Canada. Candidates interested in pursuing the course must meet the eligibility criteria & secure valid scores in exams such as IELTS, TOEFL, PTE and Duolingo. The interested students should fill the form as soon as possible because the application window opens for a short time only. The first year tuition fee for Certificate in Applied Data Analytics at British Columbia Institute of Technology is around CAD 16,200 (INR 1,116,342). Students must also plan for some other additional costs over the duration of studies such as rent, groceries, books, health insurance, etc. The average estimated cost of living at British Columbia Institute of Technology is around CAD 7,483 (INR 515,654).
Duration | 20 months |
Tuition & Fees | ₹10.92 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | UG Certificate |
Certificate in Applied Data Analytics at BCIT British Columbia Fees
To get admission in Certificate in Applied Data Analytics at British Columbia Institute of Technology students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is CAD 16,200 (INR 1,116,342). In addition to these students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 10,92,205 |
| Application Fee | INR 10,383 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 5,04,504 |
| Insurance | INR 1,24,390 |
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Certificate in Applied Data Analytics at BCIT British Columbia Entry Requirements
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India specific requirement:
- 12 years of education (includes two years of senior secondary)
- Higher Secondary Certificate
- Higher Secondary School Certificate
- Indian School Certificate (Year 12)
- Intermediate Examination
- Pre-University Examination
- Senior School Certificate
- Senior Secondary Certificate
- Credential must be issued by one of the following boards:
-
- All India – Central Board of Secondary Education (CBSE)
- All India – Council for the Indian School Certificate Examinations (CISCE)
- Various – State Boards of Higher Secondary Education
Students must have English and Math skills equivalent to a minimum of BC high school Grade 12 level in order to complete courses in the ADAC program.
Prerequisites:
- 12 years of education (includes two years of senior secondary)
- No specific cutoff mentioned
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Certificate in Applied Data Analytics at BCIT British Columbia Frequently Asked Questions
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Certificate in Applied Data Analytics at BCIT British Columbia Highlights
- The Applied Data Analytics Certificate (ADAC) program begins with data modelling, relational database management, and SQL programming, before moving on to Excel, Python, and statistics. Learn best practices and gain hands-on experience using Business Intelligence (BI) and visual analytics tools to build and manage data analytics systems.
- What Applied Data Analytics grads can do
Create, manage, and use data analytics systems and tools to help organizations make informed decisions
Be employed in data analyst roles – learn more in graduating and outcomes - ADAC from BCIT Computing provides the technical foundations to build and manage data analytics systems
Learn best practices to model and mine data, including how to use IT tools for Business Intelligence (BI)
ADAC’s focus is on building and using data analytics systems based on structured data
Starting with relational database and Structured Query Language (SQL), students are then introduced to Excel, Python, and statistics to develop the foundations for data analytics systems
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