Fast Track : 8 Months
Schedule: Monday, Wednesday, Friday
18h00 to 21h00-
14 February 2025
Mode of Delivery: Hybrid & Online - November 14th
6PM-7PM
Online
For international students, it is highly recommended to register two months before the starting date. Talk to one of our advisors for more details about the registration process.
OVERVIEW
As a Data Scientist, you will leverage data to uncover insights and drive business decisions through the use of advanced statistical methods, machine learning, and data visualization techniques. The program equips you with proficiency in Python programming, SQL, Power BI, and machine learning algorithms. You will also gain expertise in advanced Python for Data Science to build models, analyze large datasets, and communicate results effectively.
MCIT’s Data Science Program has been crafted in collaboration with industry professionals and organizations to ensure the curriculum stays up-to-date with the latest advancements in the field. The program focuses on providing hands-on experience with real-world data challenges, preparing you for data science roles in various industries. Small, personalized classes and expert instruction make this program a great choice for aspiring data scientists.
- See if you qualify
- Talk with an advisor
COURSE OUTLINE
AEC Program – Business Intelligence and Visualization Analyst (LEA.CV) Profile: Data Science
-(900 hrs)-
This course provides an overview of the fundamental concepts and practices in the fields of Data Engineering, Data Science and Big Data. It explores the techniques, tools, and methodologies used to collect, analyze, and derive valuable insights from data, catering to the growing demand for data-driven decision-making in various industries.
The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database server. This training provides students with the technical skills required to write SQL queries. This course on SQL Server is the basis for all various roles related to Data Science like business intelligence, Data Scientist, Big Data Developer, Database Administration.
This course on Data Visualization and Reporting teaches participants to use Microsoft Power BI for data analysis, visualization, and decision-making. It covers statistical concepts and techniques while focusing on creating reports, KPIs, and dashboards. Students will learn how to apply Power BI for practical data-driven insights. Upon completion, they will be proficient in the latest reporting technologies and methods.
The Python Programming Course is designed to take participants from beginners to proficient Python developers. Whether you're new to programming or seeking to expand your coding skills, this course provides a comprehensive exploration of Python's versatility and applications. Through a blend of theoretical lessons, hands-on exercises, and real-world projects, participants will gain a solid foundation in Python programming and develop the ability to create a wide range of applications.
The course provides an in-depth and hands-on introduction to the topic of machine learning. The fundamental ideas, methods, and algorithms of machine learning are covered in this course. The course includes a thorough study of statistics, a variety of machine learning techniques related to both supervised, unsupervised machine learning, topics related to Deep Learning and an introduction to neural networks.
Advanced skills in Python is crucial for many data science roles. In this course, you will continue to build on the Python programming skills you acquired in the previous class by implementing machine learning using python libraries like Tensorflow, Pytorch, Scikit-learn You will learn all the advanced Python libraries that are being used in the real world by data scientists. Data Science with Python training help you advance your career as a data scientist.
This course is designed to teach students how to integrate themselves into the Canadian job market. In 4 short classes, we look at the kind of mindset that is needed to be successful in the job search process, how to shape the CV and cover letters, we practice interview skills, and much more.
In the last stage of your data science training, the newly acquired skills will be put into practice through a real-world project. The student will learn how to tackle a practical, industry-relevant problem by focusing on mentorship sessions for data processing and model creation. The project will provide you an opportunity to practice it in a practical setting.
Become ready for the workplace
These MCIT programs help you to be job ready.
NETWORK EVENTS
The Intelligent Networking with companies / Instructors sharing their network / Peer to peer networking / Meet with recruiters.
Resume is the key to making the first impact with your profile.
INTERVIEW PREPARATION
Resume building, LinkedIn Training, Mock interviews hosted by companies, Technical interview prep, Behavioral interviews.
We assist you turn your projects into relevant portfolios.
PORTFOLIO PREPARATION
Enhance your portfolio with relevant projects, Tell your story, Relevancy of the projects, Display experience.
Mentorship & guidance - the key to career success.
MENTORSHIP
The Mentors, instructors, or alumni help you understand the required skills for your desired career path and the path to land your dream job!
WHO SHOULD APPLY?
If you want to become any of the following:
Data Scientist | Machine Learning Engineer | Data Analyst | Reporting Analyst | SQL Programmer | Python Developer
Speak to an advisor to determine eligibility.
Sihame B
BI Developer, Groupe Touchette
Mario A
BI Developer, National Bank, Canada
Aasma A
BI Developer
Amadou Tapa S
SAP Supply Chain Management Professional
Admissions Process
The admission process entails the submission of several key documents. Applicants must provide their diploma and transcripts
- Highest level of education.
- Current resume detailing professional and education
- Birth certificate translated into either English or French
- 2 Photo identification are necessary
Upon successful completion the college grants the student an AEC (Attestation d’études collégiale)
Business Intelligence and Visualization Analyst (LEA.CV)
-900 hrs-
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.
Mojtaba Ghasemi
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions.Loans & Scholarships
Scholarships for New Graduates
Students who have graduated with a post secondary diploma or degree from a qualifying institution in the last two years.
Scholarships for New Immigrants
Students who have arrived in Canada two years or less at the time of submitting their application.
Merit based Scholarships
The Montreal College of Information Technology offers merit-based scholarships to deserving candidates,for exceptional academic or professional contributions.
Other Options
We also have scholarships
for students who were laid off recently
in the past 6 months.
Empower students through Financial Aid
Conveying our commitment to student success through financial support.
Loans through the Government
Apply with the government to get financial aid through the AFE loan program (Aide financière aux études/Student financial assistance).
Loans from Partners
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
Application Advice
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
COMMUNITY TESTIMONIAL
I am international student from Haiti. I evaluated multiple colleges and choose Montreal College of Management taking into consideration several factors including tuition fee, program content and delivery methodology. Looking back, I feel that I have a made a right choice. The school’s blended training methodology of combining instructor led classroom training with e-learning aids has augmented and fast tracked my learning. I am glad that I have joined Montreal College and I am well and truly on my way to fulfill my career dreams.
Sacha Vieux Roy — Former studentCALENDAR
Registration 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.
— F.A.Q —
Our Data Science program covers a comprehensive range of topics including statistical analysis, machine learning, data mining, predictive modeling, data visualization, and programming language such as Python. Students learn how to extract insights and make data-driven decisions from large datasets.
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:
- have interrupted your full-time studies or pursued full-time post-secondary studies for at least 2 consecutive sessions or one school year;
- be covered by an agreement concluded between the college and an employer or benefit from a government program;
- have interrupted your full-time studies for one session and have pursued full-time post-secondary studies for one session;
- hold a professional studies diploma.
- the program of study makes it possible to acquire technical training in a field for which there is no program of study leading to a college diploma;
- the study program is covered by an agreement concluded between the Minister and a department or agency of the Government of Québec regarding training.
Student must meet all the following requirements:
- Knowledge of computer hardware and Operating Systems like Windows, MacOS.
- Advanced High School mathematics
- Good to have Knowledge on programming language
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.
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.
