Utility Nav Top Nav Content Site Search Site Search
Menu
Business Intelligence Analytics

Business Intelligence Analytics

Advance your skills to the next level by applying analytical techniques to big data in support of critical business decision-making.

Program Image
Start Date:
September
Typical Length:
1 Year
Credential:
Advanced Diploma
Tuition:
$5,380 (Domestic) • $11,350 (International)
 
Tuition is valid for the 2020-21 academic year. Program costs and fees (textbooks, supplies, etc.) are additional.
Locations:
+Locations & Availability

September 2020
Campus/Location DeliveryIn-class – Complete your program through courses that are held at a campus.

Online – All program courses are delivered online.

Blended – Complete your program through a combination of online and in-class courses (some courses are delivered 100% online). In-class courses are held at a campus.

Collaborative – program is delivered virtually on campus
Availability
Institute of Technology Campus • Halifax Full time • In-class Seats available

Overview

With the increased use of smart devices, sensors, intelligent systems and other tools, the volume of data is increasing exponentially, making it more challenging to manage.

This program teaches you how to:

  • Manage and filter large volumes of data in order to make more precise, reliable business decisions.
  • Interpret, analyze and understand the data so that timely, accurate and efficient business decisions can be made.
  • Use data analysis to seize business opportunities and motivate your team to improve performance.

Graduates with business intelligence and data analytics skills are in high demand; you can look forward to an exciting and fulfilling career in a variety of fields.

Admission requirements

  • Undergraduate degree, advanced diploma or diploma in one of the following areas: information technology; business administration; geomatics; engineering technology; geospatial data analytics, geographic sciences, health information management, engineering (electrical, electronic, environmental, mechanical, industrial); natural sciences or related fields and a post-secondary introductory-level database course.
    • If you do not have the required introductory-level database course, NSCC offers "Database I", COMP 2105, through Continuing Education. Other options may also be available.
  • International students – Submit your official post-secondary documents for assessment. View English language requirements by country

Tuition, fees and program costs

In addition to annual tuition, there are program costs (books, tools, etc.) and student fees for college services, health and dental plans, your student association and parking.

View detailed program fees page(s). Please note that tuition values on these pages are for 2019/20 and are meant for planning purposes only. They don't represent final amounts owing.

Work experience

  • Field experience (work placement) is a mandatory credit course completed at the end of your program. It provides you with the opportunity to apply your knowledge and skills outside of the classroom.
  • Opportunities are typically unpaid and last approximately 5 weeks.
  • Transportation, accommodations and other costs related to work placements are your responsibility.
  • For more information visit Work Experience Opportunities

Career options

Graduates of this program may find employment in any of the following positions:

  • Junior business analysts
  • Database administrators
  • Data analytics specialists
  • Data interpretation analysts
  • Data architects

Choose NSCC

  • Many companies in Nova Scotia are starting to understand the need to use business intelligence and data analytics in their decision-making processes, meaning graduates of this program are in high demand.
  • You gain valuable work experience during a work term, where you apply your skills and knowledge in a real-world setting, on real industry projects.
  • Continue your studies at university – This program includes courses that count towards a university degree. Find out more

Courses may include

Course descriptions
Code Course
DBAS 2010   Database Design II
DBAS 2101   Data Reporting
DBAS 2103   Data Provisioning with ETL
DBAS 2104   Business Analysis Essentials
DBAS 3075   Introduction to Statistical Learning
DBAS 3090   Applied Data Analytics
DBAS 4075   Introduction to Business Intelligence
INFT 3000   Capstone
INFT 4001   Special Topics II
INFT 5500   Work Experience
ISEC 3050   Ethics and Law in Data Analytics
SAFE 1000   Introduction to WHMIS (Workplace Hazardous Materials Information Systems)
SAFE 1001   Introduction to NS OH&S Act