ESCP MSBA Sample Essays and Recommendation Letters

Free Samples from Past Clients

ESCP Application Essays & Questions 2023-24:

Length: Maximum one page
Content: Focus on explaining why you are applying to this course specifically

@ What kind of skills and previous experience can you bring to this course?
@ How will this course help you in your intended career?
@ What inspires you for a wider reading and activities related to this course

Important: Your motivation letter should not be a repetition of your CV. It should clearly explain why you would like to study this specific programme. This is also a good place to summarise your longer-term career aspirations.

ESCP Winning Sample Essays 1-

Dear Members of the Admissions Committee,

I am sincerely interested in the Master in Business Analytics program at ESCP Business School. ESCP’s unique pan-European identity, combined with its emphasis on cross-cultural and interdisciplinary learning, aligns perfectly with my professional aspirations and my technology and project management background. This program is an ideal platform for deepening my analytical skills and preparing me for impactful leadership roles in the technology sector.

My journey so far has been marked by a commitment to blending technological expertise with strategic business solutions. As a Senior Software Engineer with extensive experience developing scalable software solutions for global markets, I have successfully led teams and projects that significantly improved operational efficiencies and business outcomes. My technical background and project management experience have endowed me with a solid foundation in handling complex data-driven challenges, making me a suitable candidate for this distinguished program.

The Master in Business Analytics program at ESCP is particularly compelling because of its vibrant course structure. It integrates theoretical knowledge with practical applications through case studies and projects that will allow me to refine my quantitative analysis skills and apply them in diverse business contexts. This aligns with my career goal of becoming a Chief Data Officer, where I would be responsible for harnessing data-driven strategies to drive innovation and competitive advantage in the tech industry.

The rapid evolution of data analytics and its transformative impact on industries inspire me to pursue this field further. I am motivated by analytics’ potential to optimize existing processes and discover new opportunities for innovation. My engagement in continuous learning through platforms like Coursera and my regular participation in tech webinars and forums keep me abreast of the latest machine learning and predictive analytics developments. These activities reflect my commitment to staying informed and my eagerness to apply this knowledge practically.

The international exposure and the diverse cohort at ESCP will enrich my learning experience, giving me a broader perspective on global business challenges and strategies. I am particularly excited about the opportunity to learn from and collaborate with peers and faculty from various backgrounds, which is crucial for nurturing a well-rounded global business leader.

In conclusion, the Master in Business Analytics at ESCP represents more than just an academic pursuit; it is a critical step towards achieving my career objectives. It promises to enhance my existing skills and equip me with a comprehensive toolkit to lead and innovate in an increasingly data-driven world. I am eager to contribute my experiences and insights to the ESCP community, and I am confident that my background and aspirations align strongly with the values and goals of your program.

Thank you for considering my application. I look forward to contributing to and growing with the ESCP community.

Sincerely,

XYZ

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ESCP Winning Sample Essays 2-

Dear ESCP Admissions Committee,

 

I am writing to express my profound interest in the Master of Science in Business Analytics at ESCP. This program’s distinct integration of rigorous analytics with expansive strategic business education presents the ideal pathway to advance my strategic consulting and data-driven decision-making career ambitions.

 

With a background as a Field Sales Manager and Sales Analyst at Unilever, I have cultivated a strong analytical foundation. I spearheaded initiatives that leverage data to enhance market strategies and operational efficiencies. I have managed projects from conception through execution, identifying key market trends and consumer behaviors and translating these insights into actionable strategies. My experience has ingrained a deep understanding of the need for precise and actionable data analysis to drive business success.

 

The ESCP Business Analytics program stands out because of its balanced focus on both the technical aspects of data science and their practical application in international business contexts. The curriculum offers the precise tools I seek to enhance my ability to analyze complex datasets and derive strategic insights that can be effectively communicated across business units to drive corporate strategy and innovation.

 

Additionally, my aspirations extend beyond technical proficiency; I am driven by a commitment to influence substantial and positive change within the business community. ESCP’s focus on nurturing leaders prepared to face global business challenges aligns perfectly with my career goals. I am particularly inspired by the potential to engage in projects that cross traditional academic boundaries, applying data analytics to real-world business problems in diverse international markets.

 

My passion for this field is fueled by a broader interest in how data science can be used to foster sustainable business practices. Regular engagement with current publications such as the Harvard Business Review and participation in data analytics webinars and workshops keep me abreast of the latest trends and methodologies, continuously expanding my understanding and application of data within business contexts.

 

In summary, the knowledge and skills gained from the ESCP Business Analytics program will be instrumental in my goal to become a leader in strategic consulting, specifically using data-driven insights to guide multinational companies in enhancing their operational efficiency and market competitiveness. I am eager to bring my sales management and project leadership background to ESCP, contributing to a rich academic and cultural exchange among my peers and professors.

 

Thank you for considering my application. I am enthusiastic about possibly joining ESCP and contributing to and growing within this vibrant academic community.

 

Sincerely,

 

ABC

Client Testimonials

ESCP Recommendation Letters-Key Questions

We strongly recommend adding two reference letters to your application

MSBA Recommendation Letters
(Free Samples & successful Examples)

Professor - Recommendation letter Sample 1
 

Date: 23 September 2023

Admissions Committee
Ms in Business Analytics Program
UC Davis

Subject: “Recommendation Letter for Akhila Mohan”

Dear Members of the Admissions Committee,

I am pleased to write this letter of recommendation for my former student, Akhila Mohan, who is applying for the Master’s in Business Analytics program at UC Davis. As her professor at COMSATS, where she pursued her Bachelor of Business Administration degree, I had the privilege of observing her brilliant academic and professional journey, which is punctuated with outstanding achievements. I am thrilled to support her application, as she possesses a unique blend of skills and qualities that make her an outstanding candidate for this program.

Academic Excellence and Analytical Skills

During her time at COMSATS, Akhila’s commitment to academic excellence was evident as she consistently ranked in the top 1% of her class and achieved remarkable results across all campuses. Her dedication to her studies and her exceptional intellect were further reflected in the numerous merit scholarships and medals she secured. She was an active leader in class discussions, curious and engaged, and consistently provided insightful contributions to diverse topics.

Initiative and Practical Application

Akhila’s interest in studying economic disparity within socioeconomic groups in Pakistan led her to survey women in underserved areas in her community. Using her research, she developed and implemented a financial literacy program to improve the livelihoods of economically disenfranchised women by imparting crucial money management knowledge and skills to enable their financial autonomy. This project showcases her ability to apply theoretical concepts to real-world problems, a critical skill in business analytics.

Leadership and Multitasking Abilities

Throughout her academic tenure, Akhila demonstrated a remarkable ability to balance a multitude of responsibilities while excelling in every endeavor, both within and beyond the classroom. Her multitasking prowess is evident in her successful completion of five internships while maintaining exceptional grades, and notably her involvement with AIESEC, which showcased her dedication to global awareness for SDGs and cross-cultural exchange. Through her leadership in promoting student exchange programs, she facilitated transformative experiences for over 100 individuals through international exchanges and professional internships.

Conclusion

In summary, Akhila possesses a rare combination of academic brilliance, practical problem-solving skills, and leadership qualities. I am confident that she will excel in the Master’s in Business Analytics program at UC Davis and make significant contributions to both the program and the broader field. I highly recommend her as an exceptional candidate.

Sincerely,

[Recommender’s Name]
[Recommender’s Title]
[Institution Name]

To,

Admissions Committee,
XXX University,

Date: 21 December 2022

Subject: Letter of Recommendation for Pranav

I have known Pranav for over two years now. He was a student in my Entrepreneurship course as part of his Minor in Entrepreneurship and Management. As a student in my class, Pranav showed great skill in applying these concepts in practical in-class quizzes, his final group business pitch at the end of the course, and his professional activities at UBS. Pranav also achieved remarkable performance in my course, earning the highest grade possible of A+.

Pranav stood out to me during the final project for the course evaluation. As a major assessment, I assign a project for students to work in groups and pitch a viable, self-sustaining business idea. Pranav took the initiative to create a multicultural and diverse team with students from different countries and majors, successfully delivering a business pitch for a student-run laundry and cleaning business. The idea was unique, and he actively sought my advice and mentorship to make the team and project successful.

Another noteworthy aspect is the analytical research Pranav conducted before and after seeking my advice. He made a concerted effort to learn about diverse topics he had not previously encountered and was able to grasp different aspects of entrepreneurship, such as management and finance. This demonstrated his goal-oriented and detail-oriented abilities. The idea, data-oriented research, and financial analysis were impressive, synthesized and executed effectively on assigned tasks. Additionally, the real-world considerations regarding the execution of the pitch and the cohesive delivery from a team collaboration perspective were excellent.

I was so impressed with the project that I asked Pranav if I could include the pitch and presentation as teaching material for my course. I also offered him a Research Assistant position for the following summer, which he was unable to accept due to his graduation.

Given his analytical skills and collaborative approach, it was no surprise to me that Pranav was able to transition into finance directly from his undergraduate studies in engineering, securing a role in finance with UBS in their Investment Banking Operations in Hong Kong.

In terms of areas for improvement, I believe Pranav’s analytical nature and attention to detail can sometimes lead him to get caught up in minutiae, affecting his time management. In the group project, Pranav struggled with time management and was a week behind schedule because he gave equal attention to all the details of the presentation, losing track of the bigger picture. With my guidance, he was able to get back on track and submitted the project by the deadline. However, I believe Pranav needs to develop a better overall view of projects to improve his time management.

Pranav is just beginning his financial career, but he already possesses analytical skills and an understanding of management, teamwork, and other organizational elements comparable to other top students I have recommended to Master’s programs. Pranav’s progress at CityU and UBS clearly demonstrates his intellect and dedication. He is capable and has a keen intellectual capacity for analytical thinking. I believe Pranav is on track to build a successful career that blends his quantitative inclinations with his qualitative skills, inspiring those he will lead and work with.

To conclude, I strongly recommend Pranav, and I would be happy to discuss his candidacy further if you have additional questions.

Regards,

XXXXX

Professor

XX university

Here is a quick PDF of a sample recommendation our client submitted for a successful admit. 

Ut Austin Recommendation Letter Page 0001 - MSBA LOR Sample - Template - Ameerkhatri.com

How long and in what capacity have you known the candidate?

I have known Pranav for roughly one and a half years. I was his mentor during his internship with UBS. Although he completed his internship and has moved on, we still continue to keep in touch to exchange different business ideas.

What do you think about the candidate’s professional performance and potential (including any room for improvement)?

When Pranav started his internship with UBS, he was one of the most proactive interns. Since he didn’t have a finance background, he showed keen interest in learning and came up the curve very quickly. 

The team assigned him Automation and Efficiency-related projects, and while working in the automation team he managed to stand out from other interns by providing solutions that were slightly outside of the box and impressed everyone on the team. 

For instance, he met with various team leads to understand their automation requirements and one team lead expressed her frustration with the manual risk report that used to take 10-12 hours every quarter. After the meeting, Pranav took the proactive step of helping automate this report for the team. The specific process automation that he implemented was for risk reports for the risk team. The team had a manual time consuming process in which they had to refer to multiple Excel sheets to create their quarterly risk report. Pranav understood and mapped the entire process before using an automation tool to automate it. This led to a time reduction of 90 percent in the compilation of the report. The automation process he designed was ingenious; no one had thought of using it before, and that is why I think everyone was impressed with his out-of-the-box thinking. 

Apart from that, another one of his biggest strengths is his willingness to take initiative. 

To highlight another instance, he noticed the dashboards in Operations and wider UBS were on Tableau, he took the initiative to compare Tableau and PowerBi and pitched shifting the employee statistics dashboard to PowerBi. The management team agreed and Pranav successfully created an Employee demographic dashboard on PowerBi. This led to cost savings for the department as UBS was already paying for PowerBi. He also took even more initiative, helping others in his team and UBS get certified on PowerBi and documented his knowledge for everyone before he left his internship.

On the flip side, when it comes to areas of improvement, I would also say this proactiveness and eagerness sometimes led to difficult situations. Like other fresh hires, he was also trying to prove himself in the initial months of his tenure with the team. However, this often meant that he would try to manage and solve things on his own instead of seeking help. This led to delays and situations becoming critical.

Pranav was tasked with getting certified on Automation Anywhere, another automation tool used by the team. He was unable to crack the certification according to the timeline assigned to him and was delayed by a month in getting certified. He tried to manage and solve the situation but was unable to do so without help from his team, this delay led to an increased workload for the rest of the team and longer hours as work had been earmarked for Pranav to do as soon as he would be finished with the certification. 

Overall, I would say that Pranav has great potential; he is not afraid to take the initiative and present his ideas.

Regards
XXXXXX
Manager – UBS, Hong Kong Offices

When it comes to writing great letter of recommendation, here are a few do’s and don’ts tailored for candidates applying to a Master’s in Business Analytics program:

Do’s:

1. Choose Relevant Recommenders:
Do: select recommenders who can provide detailed and specific examples of your technical and analytical skills. Ideally, these should be people who have directly supervised your work in relevant roles, such as data analysis, business intelligence, or any analytics-related projects.
Example: Your current or previous supervisors, project managers, or clients who have seen your analytical skills in action and can speak to your ability to handle complex data sets and derive meaningful insights.

2. Provide Context and Achievements:
Do: give your recommenders a comprehensive list of your accomplishments and the context in which you achieved them. Highlight your contributions to significant projects, especially those involving data analysis, statistical modeling, or the implementation of analytics solutions.
Example: Create a list detailing how your analysis led to actionable business decisions, cost savings, or process improvements. Share this list with your recommenders to help them write a more impactful letter.

3. Meet and Discuss Your Goals:
Do: meet with your recommenders to discuss your career goals, reasons for pursuing a Master’s in Business Analytics, and why you have chosen specific programs. This helps them tailor their letters to align with your aspirations and the program’s focus.
Example: Explain how the program’s curriculum, faculty, and resources will help you achieve your career goals in data science or business analytics.

4. Ensure Specific Examples:
Do: encourage your recommenders to include specific anecdotes that highlight your skills and accomplishments. Real-life examples add weight and credibility to your recommendation.
Example: Ask them to describe a particular project where you used your analytical skills to solve a complex problem, detailing your approach, tools used, and the impact of your work.

5. Set Early Deadlines:
Do: set early personal deadlines for your recommenders to ensure they complete the letters well before the application deadlines. This gives you a buffer period to follow up if needed.
Example: If your application is due on January 1st, ask your recommenders to submit their letters by December 1st to avoid last-minute issues.

Don’ts:

1. Avoid High-Ranking but Unfamiliar Recommenders:
Don’t: choose recommenders based solely on their title or status if they are not familiar with your work. Letters from high-ranking individuals who cannot provide detailed and personal insights will be less effective.
Example: Avoid asking a company CEO or a prominent professor you met briefly unless they have worked closely with you and can provide specific examples of your skills and achievements.

2. Don’t Write the Letter Yourself:
Don’t: write the recommendation letter yourself, even if a recommender offers to sign it. Admissions committees can detect self-written letters, which can harm your credibility.
Example: If a recommender suggests this, politely decline and offer to provide them with all the necessary information to write the letter themselves.

3. Avoid Generic Content:
Don’t: let your recommenders submit generic letters that could apply to anyone. Generic praise without specific examples of your work and skills will not make your application stand out.
Example: Ensure your recommenders avoid statements like “X is a great team player” without context or evidence supporting such claims.

4. Don’t Overlook the Instructions:
Don’t: ignore the specific instructions and questions provided by each business school. Different programs might have different requirements for recommendation letters.
Example: Make sure your recommenders address each question posed by the school’s recommendation form and follow any formatting or submission guidelines provided.

5. Avoid Subordinates as Recommenders:
Don’t: ask subordinates to write your recommendation letters. Their perspective might not carry the same weight and could be seen as less objective.
Example: Recommendations should come from individuals in a supervisory or client role who can objectively evaluate your performance and potential.

These tailored do’s and don’ts will help ensure that your recommendation letters are strong, relevant, and supportive of your application to a Master’s in Business Analytics program.

Recommendation letter template specifically tailored for candidates applying to a Master’s in Business Analytics program, including different structuring and clear instructions for highlighting relevant skills:

Admissions Committee
[Business Analytics Program Name]
[University Name]
[University Address]
[City, State, ZIP Code]

Date:

Dear Members of the Admissions Committee,

It is my pleasure to recommend [Candidate’s Name] for the [Master’s in Business Analytics program] at [University Name]. I have had the privilege of working with [Candidate’s Name] at [Company Name] for [duration], where I serve as [Recommender’s Title]. In this time, I have observed [his/her/their] exceptional analytical skills and unwavering commitment to data-driven decision-making.

Analytical Skills and Achievements

One of [Candidate’s Name]’s standout projects was [specific project/task]. During this project, [he/she/they] [specific action taken], resulting in [quantifiable result/outcome]. This project clearly demonstrated [his/her/their] expertise in [relevant skills, e.g., data analysis, statistical modeling, predictive analytics].

In another significant endeavor, [Candidate’s Name] was responsible for [another specific project/task]. [He/She/They] utilized [specific tools or methodologies, e.g., Python, R, machine learning algorithms] to [specific action taken], which led to [quantifiable result/outcome]. This work highlights [his/her/their] ability to leverage complex datasets to drive strategic business decisions.

Problem-Solving and Innovation

[Candidate’s Name] is particularly adept at identifying business problems and formulating innovative solutions. For example, during [specific challenge], [he/she/they] [specific action taken], which significantly improved [specific metric or outcome]. [His/Her/Their] problem-solving skills and innovative approach are invaluable assets in the field of business analytics.

Collaboration and Leadership

[Candidate’s Name] excels not only as an individual contributor but also as a collaborative team member. In [specific team project], [he/she/they] [specific actions taken to lead or collaborate], fostering a productive and cohesive working environment. [His/Her/Their] ability to communicate complex analytical concepts to non-technical stakeholders was particularly noteworthy.

Constructive Feedback and Growth

In my experience, [Candidate’s Name] is highly receptive to feedback and committed to continuous improvement. I once advised [him/her/them] on [specific area for improvement], and [he/she/they] proactively [specific actions taken to improve], which led to [positive outcome or development]. This responsiveness and dedication to growth are crucial for success in a dynamic field like business analytics.

Conclusion

In summary, [Candidate’s Name] possesses a unique blend of technical expertise, problem-solving acumen, and collaborative spirit. I am confident that [he/she/they] will excel in the [Master’s in Business Analytics program] at [University Name] and make significant contributions to both the program and the broader field of business analytics.

Sincerely,

[Recommender’s Name]
[Recommender’s Title]
[Company Name]

This template provides a structured format that highlights the candidate’s analytical skills, problem-solving abilities, and collaborative nature, making it suitable for applications to a Master’s in Business Analytics program.

Free Recommendation Letter sample text for masters application

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