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IT Data Analytics

IT Data Analytics

Examine large data sets to uncover patterns, correlations and other useful business insights.

Program Image
Start Date:
Typical Length:
2 Years
$3,515 (Domestic) • $11,350 (International)
Tuition is valid for the 2020-21 academic year. Program costs and fees (textbooks, supplies, etc.) are additional.
+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
Institute of Technology Campus • Halifax Full time • In-class Seats available


With the increased use of smart devices, sensors, intelligent systems and other tools, the volume of data has become harder to manage.

The IT Data Analytics program gives you the opportunity to get the skills and knowledge needed to understand and manage vast volumes of data. You learn to make sense of information so that timely, accurate and efficient business decisions can be made.

Graduates with data analytics skills are in high demand and can look forward to exciting and fulfilling careers in many fields.

Admission requirements

  • High School Graduation Diploma or equivalent.
    • International students – High school diploma equivalency and English language requirements vary by country. View details

Program requirements

  • As part of your studies at NSCC, you develop a portfolio of your work; the portfolio captures your achievements and profiles your skills to employers.

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.
  • This program is eligible for an optional cooperative education (co-op) credit course between year one and two.
  • Co-op provides an opportunity for paid, full-time work placements that last 12 to 16 weeks.
  • Our co-op program follows Co-operative Education and Work-Integrated Learning Canada (CEWIL) guidelines.
  • For more information visit Work Experience Opportunities

Career options

Graduates of this program could work in the following positions:

  • junior business analysts
  • database administrators
  • data analytics specialists
  • data interpretation analysts
  • data architects

Choose NSCC

  • You benefit from expert faculty who bring years of experience to the classroom.
  • Courses are designed to give you a well-rounded experience that parallels industry workplaces.
  • You gain practical experience and apply your skills during work terms.
  • You graduate with a portfolio that captures your skills and achievements – a definite asset in a competitive job market.
  • Continue your studies at university – This program includes courses that count towards a university degree. Find out more

Other info

  • It's recommended you have a Grade 12 math credit, but this is not a requirement for admission to the program.

Courses may include

Course descriptions
Code Course
BART 3075   Entrepreneurship Project
COMM 1700   Professional Practices for IT I
COMM 2700   Professional Practices for IT II
COMM 3700   Professional Practices for IT III
COMM 4700   Professional Practices for IT IV
DBAS 1007   Data Fundamentals
DBAS 2104   Business Analysis Essentials
DBAS 3017   User Experience Techniques for Data
DBAS 3018   Data Movement and Integration
DBAS 3019   Business Data Modelling
DBAS 3075   Introduction to Statistical Learning
DBAS 3085   Data Security
DBAS 3090   Applied Data Analytics
DBAS 4002   Transactional Database Programming
INET 3700   Server Operating Systems and Scripting
INFT 2007   Applied Semester Project I
INFT 3000   Capstone
INFT 3100   Work Experience or Industry Project
INFT 4100   Work Experience
ISEC 3050   Ethics and Law in Data Analytics
MOBI 3002   Mobile Application Development - Android
NETW 1700   Introduction to Networking and Security
OSYS 1000   Operating Systems - Linux
OSYS 1700   Introduction to Hardware and Operating Systems
PROG 1400   Introduction to Object Oriented Programming
PROG 1700   Logic and Programming I
PROG 2700   Client Side Programming
SAFE 1000   Introduction to WHMIS (Workplace Hazardous Materials Information Systems)
SAFE 1001   Introduction to NS OH&S Act
WEBD 1000   Website Development