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

PROGRAMS

LEA.CV Business Intelligence and Visualization Analyst
(Big Data Developer)
State of the Industry

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 Intelligence and Visualization Analyst – Big Data Developer profile path 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!

*8-month class + 4-month project

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

Professional benefits

The Big Data profile path 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.

SKILLS ACQUIRED

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

Rosana N

Java Developer

David P

Big Data Student/Java Developer

ELIGIBILITY AND REQUIREMENTS

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 an AEC (Attestation d’études collégiale)

Business Intelligence and Visualization Analyst (LEA.CV)
Certification Tracks

WHAT YOU WILL LEARN COURSE OUTLINE

A.E.C. – Business Intelligence and Visualization Analyst (LEA.CV)

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.

Big data applications are able to handle the large volume of data (both structured and unstructured) without which large-scale organizations could not operate. Big data solutions make analysis optimal for better and more strategic business decisions.

Tableau can create a wide range of different visualizations to interactively present the data and showcase insights. It comes with tools that allow to drill down data and see the impact in a visual format that can be easily understood by any individual. Tableau also comes with real-time data analytics capabilities and cloud support.

At the end of the program, students work on a real-time, industry-simulated project involving big data and database software.

INSTRUCTOR SPOTLIGHT

COMMUNITY TESTIMONIAL

As an international student, I learned a lot from this program at Montreal College, which landed me a job as a quality assurance analyst in automation.

Pooja Gogna — STQA Student

CALENDAR

— F.A.Q —

Yes. We conduct prerequisite classes that will help you to start the program on a high note.
Not at this time, but please consult our Financial Aid section for information on grants and loans.
Yes, we will. Please consult our Career center section for additional information.
Each student is provided with a PC in the classroom. However, students can bring in their own laptops.
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.

Montreal College
of Information Technology

Collège des technologies
de l’information de Montréal

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

+1 514 312 2383
.(JavaScript must be enabled to view this email address)