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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:
2 Years
+Locations & Availability

September 2019
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 Waitlist

Program Overview

Information is everywhere and the sheer volume is increasing exponentially. With the increased use of smart devices, sensors, intelligent systems and other tools the sheer volume of data has become increasingly difficult to manage. The IT Data Analytics program provides you with the opportunity to acquire the skills and knowledge to understand and manage this vast volume of data and to make sense of it so that timely, accurate and efficient business decisions can be made to ensure that a competitive edge is maintained.

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
  • Advanced Standing – To be considered, you must apply to and meet the admission requirements for this specific IT program. Advanced Standing is based on academic credits (certificate/diploma/degree) completed from a recognized public institution within the past ten years that meet the academic requirements of the full first year of the program. Advanced Standing is subject to seat availability.
    • The first year of each IT program is not interchangeable. For example, completion of year-one IT Programming does not qualify for Advanced Standing in year-two IT Data Analytics. Year 1 learning outcomes must be met in full to achieve Advanced Standing.

Choose NSCC

  • Benefit from expert faculty who bring years of experience to the classroom and prepare you with current and relevant IT skills.
  • Learn the practices and technologies that employers need. Courses are designed to give you a well-rounded experience that parallels industry workplaces and our programs are designed with the input of industry leaders.
  • Gain practical experience and apply your skills to IT projects during your work term.
  • Build a portfolio to capture 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.

Employment Opportunities

Graduates of this program could work in the following positions:

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

Other Info

  • Co-operative Education (Co-op) – This program is eligible for an optional co-op credit course. Co-op provides an opportunity for paid employment (of at least 12 weeks) in a field related to your program between your first and second year.
  • It is recommended that applicants 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
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

Additional Graduation Requirements

Portfolio Development

Have questions?

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