- 8 Months
Classes4 Months
Project /Internship - 11th July
2022 - 17th August 2022
- International
Students >>
OVERVIEW
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.
- Discover Hadoop EcosystemFamiliarise Big Data Eco space with MapReduce, YARN, HDFS & Hadoop to undertake a large range of data workloads.
- Familiarise yourself with ScalaProcess data, distributed computing & Develop applications using the engineering powers of Scala
- Unleash Java Skills for Big DataTap into your Java skills and or learn it to use effectively for Big Data development
- Spark Hands-On LearningGet hands on with Apache Spark for Data work loads like memory caching and Query execution for large data sets.
GRADUATION STATS
- 60%+ of grads are employed within 180 days of graduation
- IDC estimates that Canada’s big data service market is valued at 1.5 billion year over year.
- 95 days is the average time it takes a grad to find their first job in the field
- Big Data Developers pull in an average of $87,489 (CAD)
- See if you Qualify
- Talk to an
ADVISOR
KEY FEATURES
Get trained by Industry Experts
Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest data wrangling tools.
Project-Based Learning
Our curriculum is hands on & kept up to date with the latest industry trends ensuring all our graduates are prepared for the job market.
Learn while you Work
Working closely with our industry expert instructors, they can provide guidance and help you network within the field, providing you with a unique advantage in the workforce.
Career center
Career Centre Guidance: Graduates from MCIT have access to a complete work-oriented program that gives them access to CV/resume tools, tips and network.
Personalised Mentorship
Mentorship: Working closely with our industry expert instructors, they can provide guidance and help you network within the field, providing you with a unique advantage in the workforce.
SKILLS ACQUIRED
WHO SHOULD APPLY?
Intended for individuals possessing creative abilities who want to make a career switch or are looking to grow their business.
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
Dwany H
Big Data Developer
Anurag Nandigama
Data Engineer, Next Pathway Inc.
Sihame B
BI Developer, Groupe Touchette
David P
Developer, Morgan Stanley
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-
Certification Tracks
IBM Certified Data Engineer – Big Data
HDP
Spark and Hadoop Developer Exam (Cloudera)
CCP
COURSE OUTLINE
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.
INSTRUCTOR SPOTLIGHT
Iraj Hedayati
Iraj leads the data team at Guavus, a major data analytics hub, working with the Hadoop ecosystem. With a master's degree in computer science and software engineering makes Iraj highly comfortable in multiple domains Identifying the problems that offer the greatest opportunities to organizations . He brings his expertise in Hadoop, Hive, Spark, Spark SQL, Kafka, Kafka Stream into the classroom to prepare our students to become the next-generation data engineer. His eagerness to explore more into the field of Data science lead him to teach at Montreal College of Information Technology as an Industry expert.
Anurag Nandigama
With a solid background in Big Data Anurag Nandigama is adept at Designing, creating, testing, and maintaining complex data management & processing systems. Working closely with the stakeholders & solution architect. Ensuring architecture meets the business requirements. Building highly scalable, robust & fault-tolerant systems With Data Scientist exposure at Bombardier Transport & worked on Predictive Analytics & Maintenance of Trains. A motivated and flexible individual likes to extend his knowledge and expertise through teaching.STUDENT LOANS & SCHOLARSHIPS
If you need any guidance for financial aid and our various government grants, please see the following and speak with an advisor for further details. Each student case is unique but we offer a variety of methods to help our students get the education they need to succeed.
Apply for a ScholarshipAFE – Aide financière aux études/Student financial assistance
As all our diploma programs are officially recognized and approved by the Ministry of Education of Quebec, if financial aid for students is required, you can apply with the government of Quebec to get the assistance through the AFE loans.
Scholarships – MCIT also offers scholarships for a select few students in the form of reduced payments offered through through our financial program.
COMMUNITY TESTIMONIAL
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 student
