ESSEC is one of just 76 schools globally that have received AACSB, AMBA, and EQUIS accreditation. In addition, it is considered among the top universities globally. ESSEC Business School has four campuses: one in Cergy-Pontoise, one in Paris La Defense, one in Singapore, and one in Rabat (Morocco). The institute is housed in the CNIT building in Paris La Defense, which was constructed specifically for executive education participants.
The ESSEC master in data science and business analytics is designed for students who want to develop a deep understanding of business analytics and build a career. In addition, through this program, you will also get a global understanding of the technological and business challenges of today’s era.
| Full-time MSBA Fees 2024 | €30,000 |
| Program Length | 1 or 2 years |
| Program Deadlines 2026 | January 4, 2024 February 29, 2024 April 23, 2024 |
| Application Fees | €100 |
ESSEC DSBA Class Profile
The class profile of the ESSEC master in data science and business analytics program includes students from about 29 nationalities with an average age of 24 years. It means you will meet many young minds in ESSEC Business University from diverse cultural backgrounds, which will broaden your perspective. You will also meet like-minded individuals who will help you develop your ideas.
| Class Size | 55-90 |
| Average Age | 24 Years |
| Women Diversity | 45% |
| Average MSBA Salary | €62,625 |
| Top Post-MSBA Industries | Consulting -28% Banking / Insurance / Finance -21% IT Industry -15% |
Acceptance Rate
ESSEC master in data science and business analytics admittance rate is 13.7 percent. So, only about 13 out of the 100 candidates are accepted. However, you will undoubtedly be admitted if the application is correctly completed. When applying, for instance, several materials are required, including resumes, LORs, SOPs, essays, and so on. It would be best to get professional assistance before filing your application to keep these documents tidy and crisp to get into the best MSBA university in Europe.
Acceptance rate– 13.7%
ESSEC DSBA Program and Curriculum
This ESSEC master in data science and business analytics program is for students dedicated to gaining a thorough understanding of data sciences and business analytics techniques, who wish to strengthen their knowledge of computer science and mathematical modeling, and managerial savvy.
Depending on your prior degree and background, this hybrid programme offers either a 2-year (M1+M2) or 1-year (M2 only) curriculum by combining the academic resources of a Top Business School and a Top Engineering School in Paris and Singapore.
Core Courses
Core courses at ESSEC MSBA program-
| Data Mining | Data mining is the process of discovering patterns, trends, and valuable information from large datasets. |
| Machine Learning | Machine Learning (ML) is a field of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. |
| Big Data Analytics | Big Data Analytics involves the analysis of massive and complex datasets, often beyond the capabilities of traditional data processing tools. |
| Optimization for Analytics | Optimization for Analytics involves applying mathematical optimization techniques to enhance the efficiency and effectiveness of data analysis processes. |
| Marketing Analytics | Marketing Analytics involves the use of data analysis tools and techniques to evaluate marketing strategies, measure the effectiveness of campaigns, and understand consumer behavior. |
| Financial Analytics | Financial Analytics involves the use of data analysis and mathematical models to assess financial data, market trends, and investment opportunities. |
| Operations Analytics | Operations Analytics focuses on leveraging data analysis to optimize and improve various operational aspects within an organization. |
Elective course
Here are the explained program electives students can choose from.
| Social Network Analysis | Social Network Analysis (SNA) involves studying and analyzing the relationships and interactions between individuals or entities within a social network. |
| Fraud Analytics | Fraud Analytics involves the use of data analysis and statistical modeling techniques to detect and prevent fraudulent activities. |
| Text Analytics | Text Analytics, also known as Text Mining, involves extracting meaningful information and insights from unstructured text data. |
| Customer Analytics | Customer Analytics involves the analysis of customer data to gain insights into customer behavior, preferences, and trends. |
| Risk Analytics | Risk Analytics involves assessing and managing various types of risks using statistical models and data analysis. |
| Supply Chain Analytics | Supply Chain Analytics focuses on optimizing and improving the efficiency of supply chain operations using data analysis. |
| Healthcare Analytics | Healthcare Analytics involves the use of data analysis in the healthcare industry to improve patient outcomes, enhance operational efficiency, and reduce costs. |
Clubs & associations at ESSEC
- ESSEC Solution Enterprises
- ESSEC Flying Club
- ESSEC Diversity
- Extreme ESSEC
- Finance
- Arts
- ESSEC Initiatives
Scholarships
- ESSEC Academic Excellence/Diversity Scholarships
- LIFE Lebanon Scholarship
- EIFFEL
- WOMEN in Data Sciences & Business Analytics Scholarships
- Dataiku Scholarship
- BOURSE CROUS
Eligibility & Requirements
Understanding and meeting eligibility requirements is crucial to ensuring a smooth and successful engagement with our programs, initiatives, or services. Whether you are considering academic pursuits, involvement in clubs or organizations, or participation in specific initiatives, this section serves as your guide to the qualifications and conditions that need to be fulfilled.
We encourage you to carefully review the details provided here to determine your eligibility and take the next steps toward a fulfilling experience with us. Your journey starts with meeting the requirements, and we are here to support you in navigating this process seamlessly.
Eligibility
- Bachelor's degree or equivalent in any discipline
- Good academic standing
- Proficiency in English (TOEFL/IELTS scores for non-native English speakers)
- GMAT or GRE scores (optional)
- Work experience is preferred but not mandatory
- Strong analytical skills and aptitude for working with data.
Application fees
- As a part of the application, there is a direct ESSEC master in data science and business analytics program fee of €100.
Application documents
- Copies of all academic terms taken since high school, including exchange programs, on official or certified transcripts.
- Authenticated copies of accredited degrees since high school.
- You can apply with an enrollment certificate and a projected graduation date if you do not yet have the final diploma required to be admitted to the program.
- You must send an updated resume including all your experiences, extracurricular activities, research work, and academic achievements.
- TOEFL ITP and iBT: 90
- IELTS (Academic): 6.5
- Cambridge (FCE minimum, Advanced and Proficiency are, of course, accepted): 175
| GPA | ESSEC may consider other factors such as standardized test scores, professional experience, and letters of recommendation alongside GPA when evaluating candidates for admission to the Business Analytics program. |
| Average GMAT score | The average GMAT score required for admission to the ESSEC master in data science and business analytics program is a key indicator of academic readiness. While a competitive GMAT score is essential, ESSEC considers various factors holistically in the application process. |
| GRE | ESSEC DSBA program mandates GRE scores as part of the application. The GRE assesses verbal reasoning, quantitative reasoning, and analytical writing skills, serving as a benchmark for graduate study readiness. Competitive scores demonstrate aptitude for the program's quantitative rigor. |
| Average work-experience | At ESSEC DSBA, students come from different job backgrounds. On average, they have about 3-5 years of work experience. This mix of experiences makes our classes lively and interesting. Whether you're just starting your career or have been working for a while, our program has something for everyone. Join us at ESSEC master in data science and business analytics to learn and grow with people from various professional backgrounds. |
ESSEC DSBA Deadlines & Admission Process
Besides making your application perfect, it is also important to pay special attention to the deadline(s). There are four rounds of application submission for the ESSEC master in data science and business analytics program. The initial round of applications for 2024 will take place in October of this year, then in January, March, and April of Next year. Therefore, it would be best if you got assistance from experts in this field to be ready with all the necessary paperwork before the deadline.
Here are the deadlines for the ESSEC Business School Masters in Business Analytics program-
| Deadline | Deadline Dates |
| Deadline 1 | October 18, 2023 |
| Deadline 2 | January 4, 2024 |
| Deadline 3 | February 29, 2024 |
| Deadline 4 | April 23, 2024 |
Admission process
The admission process for the ESSEC Master in Business Analytics program involves several key steps, ensuring a thorough evaluation of candidates and aligning with the program's commitment to academic excellence and diversity. Here's an overview of the typical admission process:
- Online Application: Candidates initiate the admission process by submitting an online application through the official ESSEC MSBA program portal. The application form usually includes sections for personal information, academic background, professional experience, and a statement of purpose.
- Document Submission: Applicants are required to submit supporting documents, which may include academic transcripts, letters of recommendation, a resume or curriculum vitae (CV), and standardized test scores (GMAT or GRE, as applicable).
- Admissions Test: Depending on the program's requirements, applicants may need to take the GMAT or GRE and submit their scores as part of the application. The program may consider other indicators of quantitative aptitude for candidates who demonstrate strengths in alternative ways.
- English Language Proficiency: Non-native English speakers are typically required to demonstrate proficiency in English by submitting scores from recognized language tests such as TOEFL or IELTS. This ensures that candidates can fully engage with the program's curriculum, which is delivered in English.
- Interview: Shortlisted candidates may be invited for an interview, which can be conducted in person, over the phone, or via video conference. The interview provides an opportunity for the admissions committee to assess the candidate's motivation, interpersonal skills, and alignment with the program's objectives.
Career, Employment & Placement
The ESSEC Master in Business Analytics (MSBA) program not only equips its graduates with cutting-edge analytical skills but also takes pride in its robust employment and placement outcomes. This comprehensive approach ensures that MSBA alumni seamlessly transition into impactful roles, securing employment opportunities even before graduation.
With an average starting salary of €62,625 that reflects the value placed on their expertise and an impressive placement rate within three months, ESSEC MSBA graduates embark on diverse and globally oriented career paths. This employment and placement success underscores the program's commitment to cultivating professionals who are not just adept in business analytics but are also poised for immediate and sustained success in the ever-evolving landscape of data-driven decision-making.
| Average Starting Salary | The average starting salary €62,625 not only underscores the program's relevance in the contemporary job market but also speaks to the recognition and competitiveness of ESSEC MSBA alumni in the business analytics domain. |
| Placement Statistics | ESSEC MSBA's commitment to facilitating a seamless transition from academia to the professional world is evident in its outstanding placement statistics. An impressive 82% of graduates secure their first job before graduation, showcasing the program's efficacy in preparing students for immediate entry into the workforce. |
| Employment Report | The ESSEC MSBA program's employment report is a testament to the global perspective and international orientation it imparts to its graduates. Remarkably, 87% of ESSEC MSBA alumni hold internationally oriented job positions, reflecting the program's commitment to cultivating professionals with a broad and global mindset. |
Top Sectors Hiring MSBA Graduates
According to recent business research, several million data scientists and executives will need to be educated in the next ten years. For this reason, the ESSEC master in data science and business analytics school and CentraleSupélec have teamed up to provide this incredibly creative and comprehensive program.
We think that innovative executives must be both business-smart and knowledgeable in data sciences. Therefore, we suggest a special curriculum where students acquire and integrate the essential innovation and wealth-creation abilities that enterprises will increasingly need.
Companies Hiring From ESSEC DSBA
Herein, we shall talk about companies in the top three sectors hiring ESSEC MSBA graduates so that you get a brief idea of the MNCs that you are willing to be a part of in the future:
| Consulting | Finance | Technology |
| McKinsey & Company | JPMorgan Chase | Amazon |
| Bain & Company | Goldman Sachs | |
| The Boston Consulting Group | Citigroup | Microsoft |
Business Analytics Alumni ESSEC
After completing the ESSEC master in data science and business analytics program, you become one of the 50000+ vibrant ESSEC alumni of this school. Furthermore, as part of the diverse community of this school, you will get the opportunity to gain a global perspective.
Some Famous Alumni
- D. K. Bandyopadhyay- Founder and president of the Amity group of institutions
- Julien Bargeton- Politician
- Antoine Bernard de Saint-Affrique- CEO of Danone Group
- Jean-Marie Besset- Contemporary French playwright
ESSEC DSBA Application Essay
Essays serve as excellent vehicles for communicating your accomplishments, aspirations, and how they align with the program you're applying to. They provide a platform to showcase your past achievements, outline your future goals, and articulate these experiences. Some example admission essay questions for the ESSEC master in data science and business analytics program are:
| Essay 1 | What motivated you to pursue a career in business analytics, and how do you envision using your skills to make a meaningful impact in the field? |
| Essay 2 | Describe a time when you had to analyze a large dataset to solve a problem, and how you went about approaching the analysis and drawing conclusions. |
| Essay 3 | How do you plan to leverage your previous academic and professional experiences to succeed in the ESSEC DSBA program, and what unique perspectives and insights can you bring to the classroom? |
| Essay 4 | What do you believe are the most pressing challenges facing businesses today, and how do you think data analytics can be used to address these challenges? |
| Essay 5 | Discuss a project or initiative that you have undertaken in the past that demonstrates your ability to work effectively with a team and achieve a common goal, and how this experience has prepared you for the collaborative nature of the ESSEC DSBA program. |
Letter of Recommendation
A letter of recommendation is an important part of the ESSEC master in data science and business analytics application process and can provide valuable insight into an applicant's academic and professional abilities, as well as their character and potential for success in the program.
- ESSEC requires two letters of recommendation from individuals who are well-acquainted with the applicant's academic or professional work, and who can speak to their skills, achievements, and potential.
- The letters should provide specific examples of the applicant's analytical abilities, leadership potential, communication skills, and overall fit for the ESSEC master in data science and business analytics program.
Recommenders should also address the applicant's motivation and commitment to pursuing a career in business analytics, and how they would contribute to the program's collaborative and diverse learning environment. Applicants need to choose recommenders who know them well and can speak to their strengths and potential as business analytics professionals.
ESSEC DSBA Interview Questions
There is no particular set of questions asked by ESSEC master in data science and business analytics admission committee; they can ask a range of questions. However, some general questions might help you prepare for it so that you can crack the same.
Here are some common interview questions-
Q: Please introduce yourself (or) Tell me something about yourself
Q: Why do you want to pursue the ESSEC Business School DSBA?
Q: Why a master’s degree now? Why not do an MBA?
Q: What are your plans? Or what are your short-term and long-term goals?
Q: Why this particular company? What do you know about this role?
Q: What’s your plan B if your career plans don’t work out?
Q: What was your role at your previous job/ Internship?
What Makes ESSEC Unique?
The ESSEC DSBA program has several unique features that set it apart from other similar programs. Some of the key unique features of ESSEC master in data science and business analytics are:
- Practical focus: The program has a strong emphasis on practical applications of business analytics in various industries and contexts.
- Global perspective: The program provides opportunities for international study and internships, offering a truly global perspective.
- Industry collaboration: The program collaborates with industry partners, providing access to real-world datasets and projects.
- Flexibility: The program offers a flexible structure, with a range of elective courses and opportunities for specialization.
- Soft skills development: The program places importance on the development of soft skills such as communication, teamwork, and leadership, in addition to technical skills.
Conclusion
The ESSEC master in data science and business analytics program in MSBA colleges in Europe in that is designed to equip students with the skills and knowledge necessary to succeed in the field of business analytics. The program has a strong focus on practical applications of data analysis and technology in various industries and contexts. It is a highly flexible program with a range of elective courses and opportunities for specialization.
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