The HEC Montreal Business Analytics program is a comprehensive program inclusive of tools to take on the greatest of management challenges in the age of digital technology and artificial intelligence. There are two tracks to choose from – thesis stream and supervised project stream, wherein students can choose the supervised project track to gain real work experience or explore a specific area of interest in the research-oriented thesis track.
HEC Montreal MSBA Class Profile
The HEC Montreal Business Analytics program typically admits a diverse cohort of students from various academic and professional backgrounds, such as business, engineering, mathematics, computer science, and related fields. However, the program is highly selective, with a competitive admissions process that takes into account factors such as academic achievement, work experience, and proficiency in programming, statistics, and mathematics. Additionally, the program may require students to complete specific prerequisite courses or demonstrate proficiency in certain areas before starting the program.
Acceptance Rate
The overall quality and status of a college are determined by the candidates’ selectivity. As a result, one of the first things students should consider when considering their chances of admission to a particular college and course, such as Masters in Business Analytics, is the acceptance rate that the college has.
HEC Montreal MSBA Acceptance Rate- 38%
HEC Montreal MSBA Program and Curriculum
As mentioned earlier, there are two streams in HEC Montreal Business Analytics program structure, namely the thesis stream and the supervised project stream. The thesis stream consists of 7 courses (21 credits) and a thesis (24 credits), whereas the supervised project stream consists of 12 courses (36 credits) and a project (9 credits).
Core Courses at HEC Montreal
The core courses for the Master of Science in Business Analytics (MSBA) program at HEC Montreal typically include a range of subjects designed to provide a comprehensive understanding of business analytics.
Thesis stream
Compulsory Courses of the Specialization (9 CREDITS)
| Statistical Modeling | The course will focus on regression models, including linear models, generalized linear models and models for longitudinal data with random effects and correlation structures. |
| Implementation of Business Optimization Models | Development of modeling skills from various applications in Logistics and Operations Management, Human Resources Management, Finance or other areas. |
| Machine Learning I: Large-Scale Data Analysis and Decision Making | In this course we will study machine learning models.This course covers distributed and parallel computation, Supervised learning, Non-supervised learning, Reinforcment learning, Recommendations system & Sequential decision making |
Compulsory Methodology Courses (6 CREDITS)
| Statistical Learning | This course introduces the fundamental concepts in data analysis and statistical learning, as well as the basics of predictive modeling. |
| FUNDAMENTALS OF OPTIMIZATION | This course provides the knowledge of the basic optimization techniques and of the main commercial software to use them. |
Compulsory Course of the Program
| Comparative Perspectives on Business Organizations | The course "Comparative Perspectives on Business Organizations" offers all students pursuing an M.Sc. in Administration an analysis of the foundations of business organizations and of the model of society in which these organizations have flourished. |
Electives at HEC Montreal MSBA
Students can choose between a supervised project track, which provides real work experience, or a research-oriented thesis track for exploring specific areas of interest.
| Algorithms for Optimization and Big Data Analysis | Algorithmic methods for big data analysis. Complexity analysis, data structure, parallel and distributed computing. |
| Convex Optimization in Data Science | This approach data science via a modern optimization lens. It covers mathematical optimization methods with applications in data science. The emphasis is on modeling of convex optimization problems, comprehension of algorithms for solving them and using a dedicated software. |
| Advanced Statistical Learning | Presentation and discussion of advanced methods in data analysis and statistical learning. |
| Decision Analysis | This course presents mathematical tools that can serve to analyze and support both tactical and strategical decisions in the presence of uncertainty or when faced to multiple conflicting objectives. |
| Text Mining | This course is an introduction to theories related to language processing, text data mining and text generation. Application cases are proposed to illustrate the point. |
| Sequential Decision Making under Uncertainty | This course provides a unified framework for decision making over a planning horizon in an uncertain environment. Several classes of such problems are presented, together with the corresponding solution methods. |
| Machine Learning II: Deep Learning | This course aims to introduce the basic techniques of deep learning and recent progress of deep learning on natural language understanding and graph analysis. |
| Forecasting Methods | Presentation of the main forecasting methods necessary for decision making in the presence of uncertainty. General principles of forecasting methods used are outlined. |
| Bayesian Modelling | Hands on introduction to Bayesian data analysis. The course will cover the formulation, evaluation and comparison of Bayesian models through examples. |
| Survival and Longitudinal Data Analysis | The goal of the course is to provide students with the necessary tools for the analysis of longitudinal and survival data. |
| Complex Networks Analysis | The goal of this course is to explain the main complex network analysis techniques. Due to the sampling difficulty, analysing the whole network is often necessary, which involves some computational issues. |
| Trustworthy Machine Learning | This course will teach students to recognize where and understand why ethical issues and policy questions can arise when applying data science to real world problems. It will focus on ways to conceptualize, measure, and mitigate bias in data-driven decision-making. |
Scholarships for HEC Montreal MSBA
Every year, HEC Montréal awards close to $1.6 million in scholarships and other forms of awards to M.Sc. students. Its a great way to help finance your studies. Check out Scholarships - MSBA Programme | HEC MONTREAL.
- Entrance Scholarships
- Research Scholarships
- Differential tuition fee exemption Scholarships
- Additional Financial Resources
Eligibility and Requirements
To be eligible for the HEC Montreal Business Analytics (MSBA) program, applicants must meet the following requirements:
Eligibility
- You must have a state-recognized university degree that authorizes you to enroll in a master’s program at your original institution.
- Successfully clear one of the following admission tests before the application deadline. Some tests are offered online.
- TAGE MAGE (competitive score: 300 or higher)
- GMAT (competitive score: 630 or higher)
- GRE (overall score equivalent to the GMAT score)
Document Related to the Application
- GMAT or GRE score
- Motivational letter
- Two letters of recommendation;
- English language proficiency test score report (if applicable)
Applicants are evaluated based on their academic achievements, work experience, language proficiency, and other factors. The MSBA program at HEC Montreal is highly selective, and meeting the minimum eligibility requirements does not guarantee admission. But you should ensure that you meet the eligibility requirements for getting into the one of the best universities for MSBA in Canada.
HEC Montreal MSBA Deadlines & Admission Process
It's important to note that these dates are specifically for student intakes and may differ from other program-specific or administrative deadlines. For comprehensive information and to stay updated on any changes or additional details, you should regularly check HEC Montreal's official website or contact their admissions office.
The application deadlines for HEC Montreal admissions - MSBA programme for the year 2024 are as follows:
| Fall | Winter | Summer |
| February 15 | September 15 | No admission |
Employment And Placement
HEC Montreal Alumni Employment data diverse student body includes a significant number of international students, which highlights the school's global appeal and the wide-ranging opportunities available to its graduates. The school's commitment to providing a high-quality education is evident in its wide range of programs and the success of its graduates in the job market
| Average Starting Salary | The average annual base salaries for these specializations are substantial as well, with Business Analytics graduates earning around CAD 90,667 and Data Sciences and Business Analytics graduates earning about CAD 73,750. |
| Placement Statistics | For the MSc programs, including specializations such as Business Analytics, Data Sciences and Business Analytics, the placement rate is impressively high at 100%. |
| Employment Report | The employment placement statistics for HEC Montreal, including the Master of Science (MSc) programs, indicate a strong performance in terms of job placement rates and average salaries. |
Top Sectors Hiring HEC Montreal Graduates
Graduates of the HEC Montreal Master of Science in Business Analytics (MSBA) program are highly sought after in various sectors. Students can choose between two tracks: a thesis stream and a supervised project stream, which allows them to gain real work experience or delve into research-oriented areas.
Companies recruiting from HEC Montreal Business Analytics
The sectors that commonly hire graduates from this program include:
| Consulting | Finance | Technology |
| IBM | HSBC | |
| Accenture | RBC Group | Oracle |
| Deloitte | National Bank | UBI Soft |
| TATA | Sun Life | Xerox |
MSBA Alumni at HEC Montreal
The HEC Montréal Alumni foundation, which was founded in 1921, presently has over 100,000 members. They form one of Quebec’s greatest networks of decision-makers and commercial contacts, operating across Canada and internationally. So, after graduating from HEC Montreal Business Analytics you become part of a notable alumni group.
Some Famous Alumni
- François Legault
- Pauline Marois
- Pierre Arcand
HEC Montreal MSBA Application Essay
For the HEC Montreal MSBA (Master of Science in Business Analytics) program, specific essay questions or requirements for the application process aren't clearly detailed in the available online resources.
Letter of Recommendation
The candidate for HEC Montreal Business Analytics has to provide at least two letters of recommendation, preferably from professors or, if that is not possible, from professional work. Your recommender should be able to appraise your capabilities, explain your ability to succeed in our graduate program, and provide qualities or attributes that best describe you.
HEC Montreal MSBA Interview Questions
They will be asking various questions to learn more about what you would bring to the position. The questions to be related motivation, interpersonal Skills, about you etc. Getting ready to answer the recruiter’s questions for HEC Montreal to evaluate you.
Set 1
Q. Are you truly interested in the company?
Q. Will you be able to be productive?
Q. Will you stay in the position for a while?
Set 2
Q. Will you be able to be part of the team? Or will you be a difficult employee??
Q. Will you be able to represent the company? Handle clients appropriately?
SET 3
Q. Do you have the knowledge and experience to meet the challenges involved in this position?
Q. Will you be able to meet and sometimes even exceed objectives?
Q. Will be able to do this immediately or will you need training?
What Makes HEC Montreal Unique?
The HEC Montreal Business Analytics program has several unique features that set it apart from other programs:
1. Emphasis on practical experience: The program includes projects and case studies that allow students to work with industry partners and gain practical experience in data analysis and business intelligence.
2. Multidisciplinary approach: The program welcomes students from a variety of academic backgrounds, including business, engineering, mathematics, and computer science, and provides a comprehensive curriculum that covers both technical and business skills.
3. International focus: HEC Montreal is a globally recognized institution with a strong international reputation, and the MSBA program attracts a diverse group of students from different countries and cultural backgrounds.
4. Access to industry partners: HEC Montreal has strong connections with industry partners and provides opportunities for students to work on real projects and collaborate with companies in various industries.
5. Faculty expertise: The MSBA program at HEC Montreal is taught by experienced faculty members who are experts in their fields and have extensive research and industry experience. The faculty members bring their knowledge and expertise to the classroom, providing students with the latest insights and best practices in data analysis and business intelligence.
Conclusion
The HEC Montreal Business Analytics program offers a comprehensive curriculum that covers topics such as statistical analysis, predictive modeling, data mining, machine learning, and data visualization. The program also emphasizes practical experience, with hands-on projects and case studies that allow students to apply their knowledge to real-world business problems.HEC Montreal is a highly regarded business school with a strong reputation for research and teaching excellence. The MSBA program at HEC Montreal is recognized as one of the top programs in Canada and is accredited by the Association to Advance Collegiate Schools of Business (AACSB).
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