Queens MSBA program is a unique, all-encompassing solution to the increasing demand for business analysts. The Masters of Management Analytics program stands out as an exceptional choice for aspiring professionals equipped to thrive in the dynamic world of data analytics. The Queens MSBA program boasts a comprehensive curriculum covering areas such as data analysis, statistical modeling, and machine learning. It emphasizes real-world application through hands-on projects and case studies.
Queen's University's strong industry ties facilitate internships and experiential learning opportunities, providing students with practical exposure to the field and a direct pathway to post-graduation employment. Queen's University Smith School of Business presents the Master of Science in Business Analytics program as a transformative gateway to excel in the world of data analytics.
Queens MSBA Class Profile
In the vibrant landscape of Queen's University Smith School of Business, the Master of Science in Business Analytics (MSBA) program boasts a dynamic and diverse class profile that reflects the essence of inclusive excellence. Comprising a well-balanced cohort of both men and women, the program witnesses a remarkable 49.5% representation from each gender. In addition, 8% of the class comprises international students, adding a global perspective to the mix.
The average work experience among students is an impressive six years, showcasing a mature and experienced group. With an average age of 31 years, the students in the Queens MSBA program bring both youth and experience to the table, creating a rich learning environment. This unique program caters to a class size of 232 students, ensuring an intimate yet diverse setting for collaborative learning, networking, and professional growth.
Acceptance Rate
There is no information about the exact acceptance rate of Queens MSBA on the official website. But, the program is highly competitive.
Queens MSBA Program and Curriculum
Queens MSBA program curriculum that seamlessly blends theory with practical application. This holistic approach ensures that graduates are well-prepared to meet the demands of the fast-evolving business analytics industry.
Core Courses
Core courses are as follows:
Course | Description |
Acquisition and Management of Data | Master the art of data collection and management, a crucial skill for any business analyst. |
AI Ethics & Policy | Delve into the ethical implications of AI and its impact on the business world. |
Entrepreneurship and Innovation | Learn how to harness innovation to drive business growth. |
Introduction to Analytic Modeling | Build a strong foundation in analytics by understanding the fundamental models. |
Marketing Analytics | Explore the world of marketing data and analytics, a vital area for businesses. |
Big Data Analytics | Grasp the complexities of handling and analyzing big data, a skill in high demand. |
Leading Change | Develop leadership skills to implement analytics-driven changes within organizations effectively. |
Scholarships
Scholarships are as follows:
Scholarship | Description |
Vector Institute Scholarship | Awarded to students with a passion for AI and machine learning. |
Academic Scholarship | Recognizes outstanding academic achievement and potential. |
Scholarships for Black Students | Empowering underrepresented communities in the analytics field. |
Scholarship for Indigenous Students | Supporting Indigenous students pursuing excellence in business analytics. |
Clubs and associations
Clubs and associations are as follows:
- Consulting Club
- Scale Up Summit
- Women in Leadership Club
- Digital Business Club
- EDII Club
Eligibility and Requirements
Queen's University Smith School of Business offers a prestigious Master of Management Analytics (MMA) program that equips students with the skills and knowledge to excel in the dynamic field of business analytics. To ensure a diverse yet highly qualified cohort, the Queens MSBA/MMA program has specific eligibility and requirements.
Eligibility
- Candidates must possess an undergraduate degree from an institution with academic acclaim.
- While relevant work experience is highly regarded, exceptional applicants without prior work experience may also be considered for admission.
Application fees
Prospective students are required to pay a non-refundable application fee of $100, which covers the cost of processing applications and administrative overhead.
Application documents
- WES Assessment- All applicants who completed their undergraduate education outside of North America will be asked to submit a comprehensive course-by-course evaluation from the World Education Service (WES). This assessment ensures that their academic credentials are equivalent to a four-year bachelor's degree in Canada, an essential step in maintaining the high academic standards of Queens.
GMAT needed | While GMAT scores are not mandatory, a strong GMAT score (at least 650 or more) is welcomed and can strengthen your application. |
GRE needed | A GRE score of 315 is accepted by the Queens MSBA. |
GPA needed | Although there isn't a strict GPA requirement, applicants with a GPA of 7 or higher on a 9-point scale are recommended. A higher GPA can positively influence the admission decision. |
Is IELTS needed for Queens MSBA? | If English is not your native language, you have to submit an English proficiency test score. While the official website does not display specific scores for English proficiency, candidates can choose from a range of recognized tests to showcase their language proficiency. |
Queens MSBA Deadlines & Admission Process
The deadlines for the Queens MSBA/MMA program typically fall in the early part of the year, with specific dates varying from year to year. Prospective students must stay informed about the application deadlines, as meeting them is essential to ensure their eligibility and consideration for this prestigious Masters of Management Analytics program.
Rounds | Deadlines |
Round 1 | 12th Sep 2024 |
Queens MSBA Admission process
The Queens Application Process - MSBA typically involves several stages, including an initial application, an interview, and a final decision.
- Submit Application- The first step in the admission process is to submit your online application through the official MSBA program website. Ensure that you provide all required documents, including transcripts, a resume, a statement of purpose, letters of recommendation, and any other requested materials.
- Standardized Tests- Depending on the program's requirements, you may need to provide standardized test scores. Common tests include the GMAT or GRE. Ensure you meet the program's score expectations and submit your scores promptly.
- Interview- If your application is shortlisted, you may be invited for an interview. The interview is an opportunity for the admissions committee to learn more about your motivations, experiences, and qualifications. Prepare well for this stage by reviewing your application and practicing your interview responses.
- Decision- After the interview and a comprehensive review of your application, the admissions committee will make an admission decision. You will be notified of this decision, typically via email or an official letter.
- Acceptance- If you receive an acceptance letter, you will have a specific deadline to confirm your acceptance and secure your spot in the MSBA program. Be sure to follow the instructions provided to complete this final step.
Top Sectors Hiring Queen's University Graduates
The Queens MSBA/MMA program propels graduates into a world of opportunities where they can make a significant impact in various sectors. Top industry players in technology, finance, and consulting actively seek Queen's Masters of Management Analytics talent, recognizing the program's rigorous curriculum and commitment to producing analytics leaders.
Companies recruiting from Queens MSBA
Several sectors recruit from Queens MSBA, but there are specific sectors that recruit in lumpsum and come under the top companies list. They are:
Finance | Technology | Consultancy |
American Express | EY (Ernst & Young | |
Morgan Stanley | Microsoft | Intangent |
Bank of Montreal (BMO) | Oracle | Accenture |
MSBA Alumni at Queens
The Queens MSBA program has long been a nurturing ground for future analytics leaders. Queens university Alumni of this esteemed program have gone on to make significant contributions in various sectors, exemplifying the program's commitment to excellence.
Some Famous Alumni
- Rain Huang- Passed MMA in 2017, is Director, Customer Communication Transformation, BMO Financial Group.
- Emily Chambers- Passed MMA in 2014, is Manager, Decision Science Products, Walt Disney Company.
- Perry Hassen- Passed MMA in 2018, is Co-Founder of Cacao Boys Inc.
- Masoum Mosmer- Passed MMA in 2015, is Head of Machine Learning, Customer Understanding & Algorithmic Decisioning, Wayfair.
Queens MSBA Application Essay
For Queens MSBA application essay is not needed.
Letter of Recommendation
A well-crafted letter of recommendation is a valuable asset in your application to the Queens MSBA program. By ensuring that your recommenders understand the program, offering guidance on your goals and experiences, and selecting individuals who can provide personalized and enthusiastic endorsements, you can increase your chances of securing a compelling recommendation.
- Choose your recommenders carefully. Opt for individuals who can provide a well-rounded view of your qualifications.
- Reach out to recommenders well in advance and discuss your goals and motivations for pursuing the Queen's MSBA program.
- Provide your recommenders with a clear and concise summary of your achievements, goals, and experiences to assist them in crafting a tailored letter.
- Follow up with your recommenders and express your gratitude for their assistance.
Queens MSBA Interview Questions
The interview process at Queens MSBA/MMA is a crucial step in the admission journey. It provides an opportunity for the admissions committee to assess an applicant's suitability for the program.
Set 1
- Why did you decide to enroll in the Queen's MSBA program?
- Could you briefly describe your background in data science and business analytics?
- How do you manage challenging data analysis tasks?
- Give an example of a difficult analytics project you worked on, along with its result.
- What software and analytics tools are you knowledgeable in?
- How can you keep up with the most recent developments in the analytics sector?
- Talk about your past experience working in a team environment.
- Can you give an instance when you had to explain intricate data results to non-technical listeners?
- What function do data ethics and privacy play in analytics, in your opinion?
- How do you go about gathering and cleansing data?
Set 2
- Give an instance of a data-driven choice you made that was successful.
- How do you concurrently manage and prioritize several analytics projects?
- Describe a scenario in which you ran into problems with data quality and how you handled them.
- What are your preferred methods for data visualization, and why?
- How would you handle a project with sloppy or incomplete data?
- Describe a situation when you were working on an analytics project under pressure to meet a deadline.
- What method do you use for ongoing analytics professional development?
- Describe how storytelling may be used to deliver data insights.
- How are unfairness and prejudice in data-driven models and judgments addressed?
- What particular contribution do you believe your MMA from Queen's will bring to the area of business analytics?
What Makes Queen's University Unique?
The Queen's University Smith School of Business Master of Management Analytics (MMA) program has garnered a reputation for excellence in the world of business education. But what truly sets this program apart and makes it unique? It is enlisted below:
- Holistic Approach to Business Analytics- One of the unique attributes of the Queens MSBA program is its holistic approach to business analytics. The curriculum is designed to provide students with a comprehensive understanding of analytics, encompassing data science, machine learning, and business strategy. This well-rounded education equips graduates to not only work with data but also to make strategic decisions that drive business success.
- Experiential Learning- Queen's MSBA places a strong emphasis on experiential learning. Students have the opportunity to work on real-world projects, gaining hands-on experience that goes beyond theoretical knowledge. This practical exposure sets graduates apart in the job market, as they are prepared to apply their skills in a professional setting immediately.
- Industry Connections- The program's strong connections with industry leaders offer unique networking opportunities. Students engage with organizations and professionals through guest lectures, workshops, and industry-specific projects. These connections can open doors to internships and job placements, helping graduates launch their careers.
- Personalized Career Support- Queens MSBA offers personalized career support, including coaching, workshops, and access to a vast alumni network. This tailored assistance helps students identify and secure roles that align with their career goals, ensuring a smooth transition into the workforce.
- Diverse Cohort- The program's commitment to diversity is another unique feature. Students come from various backgrounds, creating a rich and inclusive learning environment. The exchange of ideas and perspectives from diverse cultures and experiences enriches the educational journey.
Conclusion
In conclusion, the Queen's University Smith School of Business Master of Science in Business Analytics (MSBA) program is recognized as a pinnacle of academic excellence among MSBA colleges in UK and the broader realm of business education. Through its comprehensive approach to analytics, immersive learning opportunities, robust industry connections, and steadfast dedication to innovation, the Queen's MSBA program provides students with a distinct and transformative educational journey.