Montreal College of Information Technology
Collège des technologies de l’information de Montréal English flagEN FlagFR


A.E.C. Business Intelligence and Visualization Analyst LEA.CV: Profile Big Data Developer Previous Program Next Program


With data being captured and analyzed at increasingly higher rates, the demand for professionals who can build big data solutions is high: properly exploited data can give businesses a huge competitive advantage. In the next few years, the career opportunities for big data analysts will increase tremendously. More and more companies are finding that the use of data analytics provides a better overall business perspective and, as a result, are able to make more strategic decisions.

Montreal College’s Business Analyst in Information Technology – Big Data Developer program will provide you with tools and skills to collect, manage, analyze and interpret data. We will also provide you with the hands-on experience you need to get an edge. Big data being a relatively new field, it will be up to you to increase your already formidable technical skills and stay ahead of new trends and technologies. This is not a career in which you can afford to fall behind!

  • Average annual salary$122,247 per year 2.7 million jobs in the USA by 2020
  • 1.45 billion dollarindustry in Canada in 2018

Professional Benefits

The Big Data program at MCIT offers the skills needed to create big data solutions by learning how to extract information with software such as Hadoop, Spark, and SQL. Students will learn how to analyze work functions and develop conceptual models using a structured approach. Moreover, they will be able to use a programming language to create and use databases to process information in a management context.

For specialists looking to advance their career, the next step is a management or executive role in the IT department.


Who Should Apply

This program is intended for individuals possessing creative abilities who want to make a career switch or are looking to grow their business. Here is a list of professionals for whom learning Big Data has turned out to be a great asset:
Data analysts
Data scientists
Computer engineers
IT professionals
Business intelligence analysts
Anyone with a computer science background or a passion for learning new technologies

Dwany H

Big Data Developer

Sihame B

BI Developer

Daniel S

Networking Specialist

Rosana N

Java Developer

Eligibility & Requirement

This is an entry-level course/program, but it assumes that students have the following:

General IT knowledge
High school diploma
One-year of full-time employment or experience in IT or data analytics, or other related experience
Basic knowledge of Java programming

Upon successful completion of the program, the college grants the student with an AEC - Attestation d’études collégiales

Big Data Analyst
Certification Tracks


AEC Program - Big Data Developer

Introduction to the concepts of big data, its problems and challenges. The course will also cover the treatment of big data, the Hadoop Ecosystem and the role of a developer in the big data field.

Introduction to the concepts of programming and algorithms. Students will learn the Scala programming language, object-oriented languages such as Java and Linux Shell, as well as scripting fundamentals.

Introduction to the concepts of relational and non-relational databases. Students will learn how to handle structured and unstructured data, and how to manage big data with Parquet, Hbase and JDBC.

Introduction to different applications used in the field of big data and more specifically the Spark framework.

In this last module of the program, the presentation of data will be done via tables.



— F.A.Q —

Studies show that big data adoption will continue to grow. With $65B in investments in 2018, it is clear that big data is here to stay. However, the big data talent pool is lagging behind and will need to catch up to the pace of the market.
“Big data” is a catch-all term used to describe vast amounts of information that are beyond the scope of traditional software to process in due time. In contrast to traditional structured data typically stored in a relational database, big data varies in terms of volume, velocity, and variety. Big data is characteristically generated in large volumes – on the order of terabytes or exabytes per individual data set. Big data is also generated with high velocity – i.e. it is collected at frequent intervals – which makes it difficult to analyze (though analyzing it rapidly makes it more valuable).
In the next ten years, it’s estimated that career opportunities for big data specialists will increase dramatically. More and more companies are finding that analyzing data allows them to see the big picture and make more strategic business decisions. MCIT will provide you with the hands-on experience you need to give you an edge in the market.
Yes, of course you can visit our campus and enquire about our program. You can register for the next upcoming information session through our website. You can also book an appointment to meet our program advisor.
Yes, you will, in fact, be required to work on hands-on projects based on real-life scenarios where you can directly apply the theoretical knowledge you have gained throughout the program.

Montreal College
of Information Technology

Collège des TI de Montréal

110-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3V8

+1 514-312-2383
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