MCIT’s Big Data Developer diploma will provide you with the skillset to collect, manage, analyze, and interpret data. We offer hands-on experience to get an edge with a real-time industry project using some of the leading tools for Big Data Development through Hadoop, Hive, Kafka, and Spark. With Big Data being an exciting and challenging field, we equip you with the latest and most advantageous skills in the domain, an addition to your already formidable technical skill set for this is not a career in which you can afford to fall behind.
As data becomes an even more important aspect of business functionality, its market growth is projected to grow by 31.3% by 2025, making it the perfect time to make the career shift or progression into Big Data Development. The skills you will acquire with MCIT’s Big Data Developer diploma will help all those either entering the job market who want to learn about Big Data, those who are looking to sharpen and increase their knowledge and skills in Big Data, or for those people who want to add a Big Data skillset to their analytical skills to make them an even more valuable employee to their company.
A.E.C. – Business Intelligence and Visualization Analyst (LEA.CV)
Profile : Big Data Developer
-(900 hrs)
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 can handle a large amount of data (both structured and non-structured), without which large-scale organizations could not operate. As a result, big data solutions make analysis optimal for better and more strategic business decisions.
Tableau can create a wide range of different visualizations to present the data and showcase insights interactively. In addition, it comes with tools to drill down data and see the impact in a visual format that any individual can easily understand. Tableau also comes with real-time data analytics capabilities and cloud support.
These MCIT programs help you to be job ready.
The Intelligent Networking with companies, nstructors sharing their network, Peer to peer networking, Meet with recruiters.
Resume is the key to making the first impact with your profile.
Resume building, LinkedIn Training, Mock interviews hosted by companies, Technical interview prep, Behavioral interviews.
We assist you turn your projects into relevant portfolios.
Enhance your portfolio with relevant projects, Tell your story, Relevancy of the projects, Display experience.
Mentorship & guidance - the key to career success.
The Mentors, instructors, or alumni help you understand the required skills for your desired career path and the path to land your dream job!
Tech savvy individuals with a computer science background or a passion for learning new technologies: Data analysts | Data scientist | Computer engineers | IT professionals | Business intelligence analysts
Big Data Developer
Data Engineer, Next Pathway Inc.
BI Developer, Groupe Touchette
Developer, Morgan Stanley
The admission process entails the submission of several key documents. Applicants must provide their diploma and transcripts
Upon successful completion of the program, the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst LEA.CV: Profile Big Data Developer - 900 hrs-
Students who have graduated with a post secondary diploma or degree from a qualifying institution in the last two years.
Students who have arrived in Canada two years or less at the time of submitting their application.
The Montreal College of Information Technology offers merit-based scholarships to deserving candidates,for exceptional academic or professional contributions.
We also have scholarships
for students who were laid off recently
in the past 6 months.
Conveying our commitment to student success through financial support.
Apply with the government to get financial aid through the AFE loan program (Aide financière aux études/Student financial assistance).
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
Montreal college course content is aligned to the industry requirements and is delivered by industry experts. This coupled with the fact that the training is hands-on, enabled me to succeed in the job interview. I was working a technical support specialist with a large corporation. Even though, I had a stable job, I realized that I needed to enhance my skill set to be more relevant in the job market, secure my future and earn more. To provide a fillip to my stagnating career, I invested in learning BASIS administration. I choose Montreal College after extensive research. In fact, the irony was that there was no other college offering a similar program. Having completed the training, I am and glad that I choose Montreal College. They provided the best learning platform including an instructor with many years of industry experience, learning aids and importantly practice labs that provided practical and hands-on training.
Karim Oultache — Former studentRegistration deadline:
For international students, it is highly recommended to register three months before the starting date. Talk to one of our advisors for more details about the registration process.
The Big Data Developer program focuses on technologies and techniques for managing and analyzing massive volumes of data. Students learn about distributed computing frameworks like Hadoop and Spark, data storage solutions like HDFS and NoSQL databases, data processing, and advanced analytics.
Our course content is curated from industry-recognized leaders such as Enterprise Big Data Framework, Microsoft, Python, ensuring alignment with the latest industry standards and practices. Each program is thoughtfully designed to equip students with the knowledge and skills necessary to excel in their chosen field and to confidently pursue real-world certifications.
Yes, our programs are designed to accommodate students with varying levels of expertise, including beginners. Our instructors and courses tailored for beginners to provide a solid foundation with varying levels of expertise.
To be eligible for a program of study leading to an attestation of college studies (AEC), Student must have training deemed sufficient by the college and meet one of the following conditions:
Student must meet all the following requirements:
Our programs utilize a combination of lectures, hands-on lab exercises, case studies, and real-world projects to ensure a comprehensive learning experience. We also provide access to online resources and support forums for additional learning.
Yes, we facilitate internships and practical experience opportunities with industry partners to help students apply their skills in real-world scenarios and gain valuable experience.
Graduates of this program can pursue various career paths including business intelligence analyst, data scientist, big data engineer, data engineer, data analyst, and more. Our career services team provides guidance and support for job placement and advancement.
Yes, we offer flexible study options including part-time evening classes and online courses to accommodate students with busy schedules or those unable to attend in person.