ESSEC MSBA Program: Complete Overview

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This blog aims to provide you with insightful information and an overview of the ESSEC MSBA Program. We will explore what sets this program apart and why it may be an excellent fit for managerial and executive aspirants. Furthermore, we will explore the course structure, specific courses offered, admission requirements, and other essential program elements. The ESSEC MSBA Program has received one of the highest ratings among MSBA programs in Europe, and we will showcase what makes it stand out from other business education programs worldwide. Ultimately, this blog offers an insider’s perspective on the ESSEC MSBA Program to empower prospective students to make informed decisions about their future.

Getting Started

The ESSEC MSBA program is designed to bridge the gap between data science and business by providing students with a comprehensive understanding of data-driven decision-making processes in various industries. The program typically combines courses in data science, analytics, statistics, and business fundamentals to equip students with the necessary skills to analyze data and extract valuable insights for business applications. To ensure hands-on learning, students may engage in real-world projects, case studies, and internships with partner companies or organizations. This allows students to apply their data science skills to real business challenges and gain valuable industry experience. The program is likely to be taught by experienced professors and industry practitioners who are experts in data science and business analytics. They may bring real-world insights and examples into the classroom to enrich the learning experience.

Program Details

Program Structure and Duration

The program has a strong scientific focus and aims to give students an in-depth understanding of these complementary and inextricably linked fields, allowing them to develop as fully operational professionals. This is necessary for a global understanding of the challenges underlying the digital era as well as to master the science of data and the techniques of business analytics.

Depending on your previous degree and background, the ESSEC MSBA program 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. The program deepens your comprehension of scientific theories and procedures. It boosts your critical thinking, imagination, and creativity and drives alterations in corporate procedures, technologies, and equipment to manage challenging tasks effectively.

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ESSEC MSBA Class Profile

The ESSEC MSBA program takes pride in maintaining a selective and diverse class size of around 59 students each year, carefully chosen from a pool of highly motivated and talented young professionals worldwide. 

The ESSEC MSBA class profile is genuinely global, with students representing over 29 nationalities and a wide range of industries and professional backgrounds. The average age of the cohort is 24, with an average work experience of two years.

As an ESSEC MSBA student, you will have the opportunity to be a part of this vibrant and diverse community, embarking on a transformative journey of personal and professional growth.

ESSEC Rankings and Reputation

ESSEC Business School was one of the leading business schools in Europe and globally. Its DSBA program was designed to equip students with a solid understanding of data science, machine learning, and analytics in the context of business applications. The program aimed to produce graduates who could leverage data to make strategic decisions, optimize processes, and gain a competitive advantage in various industries.

The ESSEC MSBA program is ranked 4th worldwide by QS. The French government officially recognizes and accredits a master’s degree. This permits interested individuals to pursue PhD studies and grants preferred access to working visas in Europe. ESSEC’s MSBA program benefited from a faculty that included experienced academics and industry professionals with expertise in data science, analytics, and related fields. The school’s research contributions in these areas also added to its reputation. 

The MSBA program’s success in placing graduates in prominent companies and organizations also contributed to its reputation. Employers often value ESSEC MSBA graduates for their analytical and business skills. ESSEC Business School typically ranked among the top business schools globally, and its MSBA program was often considered one of the best data science and analytics programs in Europe.

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Depending on your previous degree and background, the ESSEC MSBA Curriculum offers either a 2-year (M1+M2) or 1-year (M2 only) Program by combining the academic resources of a Top Business School and a Top Engineering School, in Paris and Singapore.

If you’ve pursued or are still pursuing:

– A minimum of a 3-year Bachelor’s degree or a License 3 degree will allow you to finish the Program in two years (M1+M2).

– A minimum of a 4-year Bachelor’s or Master’s degree; you can finish the Program in one year (M2).

The approach exposes students to the technological and commercial concerns that underpin the AI and digital revolution period and is grounded in the theory, methodology, uses, and applications of Data Sciences & Business Analytics.

The Faculty combines academic and professional perspectives for outstanding education, and the majority of its professors have doctorates, making them recognised experts in their fields on a global scale.

Year 1 (Master 1 ; M1)

Both CentraleSupelec France and ESSEC France campus offer the first year’s Program. You will begin the Program in M1 depending on your prior education and most recent degree, and the entire length is 2 years (M1+M2).

First Period

You will start the Program with a first period of Foundational Coursework in management, mathematics, statistics, and computer science at the CentraleSupelec campus in order to strengthen you and help you establish your foundations.

Courses included during the first period are as follows:

  • Analysis

The Analysis course is a comprehensive study of mathematical analysis, focusing on calculus, limits, derivatives, and integrals. It delves into rigorous proofs, theorems, and advanced techniques to analyze functions and their properties.

Students will explore real and complex analysis, sequences, and series, as well as applications in physics, engineering, and other disciplines. The course aims to develop students’ problem-solving skills and deepen their understanding of fundamental mathematical principles.

  • Probability

The Probability course is a foundational study of probability theory and its applications. It covers the fundamental concepts of random variables, probability distributions, and key theorems like the law of large numbers and the central limit theorem. Students will explore various techniques for calculating probabilities, including combinatorics and conditional probability.

The course also examines statistical inference, hypothesis testing, and Bayesian probability. It equips students with the tools to analyze uncertainty, make informed decisions, and understand the probabilistic nature of real-world events.

  • Statistics

The Statistics course offers a comprehensive introduction to the principles and methods of statistical analysis. It covers data collection, organization, and presentation, along with probability distributions, hypothesis testing, and regression analysis.

Students will learn sampling techniques, interpret data, and draw meaningful conclusions. The course equips students with data-driven decision-making skills and critical evaluation of statistical claims, making it valuable across science, business, and social sciences.

  • Optimization

The Optimization course provides a comprehensive study of optimization techniques and algorithms. It covers various methods for finding the best solution to complex problems, including linear programming, nonlinear optimization, and convex optimization.

Students will learn how to formulate and model real-world problems mathematically, applying optimization techniques to find optimal solutions efficiently. The course is valuable in engineering, operations research, economics, and other fields. It equips students with problem-solving skills and the ability to optimize processes and systems.

  • Introduction to Finance and Accounting

The Introduction to Finance and Accounting course offers a comprehensive overview of the fundamental principles in finance and accounting. It covers financial analysis, budgeting, financial statements, and the time value of money.

Students will learn about investment decisions, risk management, and financial markets. The course aims to develop a solid understanding of financial concepts and their applications in business and personal finance. It is valuable for students pursuing careers in finance, accounting, or related fields.

  • Introduction to Economics

The Introduction to Economics course provides a comprehensive overview of the fundamental principles of economics. It covers microeconomics, which focuses on individual decision-making, market structures, and resource allocation. Additionally, it explores macroeconomics, studying national and global economies, inflation, unemployment, and fiscal and monetary policies.

Students will understand economic theories, analyze economic behavior, and explore real-world applications. The course is valuable for various careers, including business, policy analysis, and research.

Second Period

You will attend fundamental classes on Core Courses at the ESSEC France campus during the second term, as well as a hackathon that Ekimetrics and Artefact are hosting. You will be able to determine your professional interests throughout this first year, which will aid you in deciding which major to pursue in Year 2 (M2).

At the conclusion of M1, you can also complete a 4-6 month internship.

Courses included during the second period are as follows:

  • Advanced Coding

The Advanced Coding course is an intensive program designed to elevate participants’ programming skills to an advanced level. Through hands-on projects and in-depth theoretical lessons, students delve into advanced algorithms, data structures, and design patterns.

The course emphasizes complex problem-solving, software optimization, and code refactoring techniques. Participants gain proficiency in programming languages, frameworks, and tools commonly used in the industry. By the course’s end, students are equipped to tackle challenging real-world coding tasks with confidence and precision.

  • Algebra

The Algebra course is a comprehensive educational experience focused on mastering fundamental algebraic concepts. Through interactive lessons and practical applications, students explore equations, functions, polynomials, and inequalities. The course delves into advanced topics, such as matrices, vectors, and systems of equations.

Emphasis is placed on problem-solving strategies and critical thinking to solve complex algebraic problems. By the end of the course, participants have a strong foundation in algebra, preparing them for higher-level math studies and real-world applications.

  • Statistical Inference

The Statistical Inference course is a rigorous program aimed at developing participants’ understanding of statistical principles and methodologies. Students explore probability theory, sampling distributions, and hypothesis testing.

They delve into various estimation techniques, confidence intervals, and regression analysis. The course emphasizes the application of statistical concepts to draw meaningful conclusions from data and make data-driven decisions.

Through hands-on projects and real-world case studies, participants gain valuable experience in conducting statistical analyses and interpreting results. By the course’s conclusion, students are equipped with the tools to perform robust statistical inference in diverse research and analytical settings.

  • Managing IT in the Digital Age

The Managing IT in the Digital Age course is a comprehensive program designed to equip participants with the knowledge and skills needed to navigate the ever-evolving landscape of information technology.

Students delve into IT management strategies, including project management, cybersecurity, and data governance. The course explores emerging technologies, such as cloud computing, artificial intelligence, and Internet of Things (IoT).

Practical case studies and industry insights enable students to develop effective IT strategies and align technology initiatives with organizational goals. By the course’s end, participants are prepared to lead and adapt in the dynamic digital era, ensuring successful IT implementations and driving innovation.

  • Strategy Marketing Analytics

The Strategy Marketing Analytics course offers an in-depth exploration of the intersection between marketing, data analytics, and strategic decision-making. Participants learn to leverage data-driven insights to formulate effective marketing strategies. The course covers key concepts, such as market segmentation, customer behavior analysis, and campaign optimization.

Through hands-on exercises and real-world data sets, students develop proficiency in using analytics tools and techniques to measure marketing performance and ROI. By the end of the course, participants are equipped with the knowledge and skills to make informed marketing decisions and drive business growth through strategic marketing analytics.

Year 2 (Master 2 ; M2)

You can learn the second year’s Program at ESSEC France, CentraleSupelec France, and ESSEC Asia-Pacific (Singapore) campus.

You will begin the Program in M2, and the overall length of the Program is 1 year (M2), or you will continue with the second year of the Program (M2) if you started in M1. This depends on your background and most recent degree.

Two academic terms in this year (M2) are dedicated to learning data science, business analytics, and digital strategy. The content of the courses is highly specialized, focuses on current issues, and is tailored to your unique career goals.

Period 1: Build your Foundations at ESSEC and at CentraleSupelec in France

You would always begin the Program in France, regardless of your eventual major choice. You will enroll in the following Core Courses and Refreshers during the first period, which spans from September to December.

  • Big Data Algorithms, Techniques and Platforms

The Big Data Algorithms, Techniques, and Platforms course offers a comprehensive  exploration of the core concepts in handling vast datasets. This course covers a range of topics including data processing techniques, advanced algorithms, and distributed computing platforms.

Participants will learn to apply cutting-edge technologies to extract valuable insights from big data and develop scalable solutions for real-world challenges. The course equips students with the skills necessary to thrive in the ever-evolving field of big data analytics.

  • Predictive Analytics

The Predictive Analytics course is an advanced program that equips students with the skills to analyze historical data and develop models that forecast future trends and outcomes.

Participants learn statistical techniques, machine learning algorithms, and data mining methods to make accurate predictions in various fields like finance, marketing, healthcare, and more.

The course delves into data preprocessing, model evaluation, and interpretation of results, enabling students to make data-driven decisions and gain a competitive edge in their careers.

  • Foundations of Optimization

The Foundations of Optimization course provides a comprehensive introduction to the principles and techniques of optimization. Students learn how to formulate and solve complex problems in various domains, such as engineering, economics, and operations management.

The course covers linear and nonlinear programming, convex optimization, and heuristic approaches. By gaining expertise in optimization algorithms and mathematical modeling, participants can optimize resources, improve efficiency, and find optimal solutions to real-world challenges, making them valuable assets in decision-making and problem-solving contexts.

  • Foundations of Machine Learning

The Foundations of Machine Learning course offers a fundamental understanding of the principles and methodologies of machine learning. Students explore various algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. They gain insights into data preprocessing, feature engineering, and model evaluation techniques.

Through hands-on projects, participants develop skills in building and training machine learning models to extract valuable insights and patterns from data. This course empowers students to apply machine learning in diverse applications, such as image recognition, natural language processing, and predictive analytics.

Period 2: Choose your Major/Minor At ESSEC in France, at ESSEC in Singapore, at CentraleSupelec

You will select one of three majors to specialize in during period 2. You must take a minimum of one major (4 courses) and one minor (2 courses).

Three Majors

The three major courses are as follows:

  • Data Sciences

The Data Sciences course is an interdisciplinary program that equips students with the skills and knowledge to analyze and interpret vast amounts of data. Students learn statistical methods, data visualization, and machine learning techniques to extract valuable insights and make informed decisions.

The curriculum covers programming languages like Python and R, database management, and data mining. Students are prepared for careers in data analysis, data engineering, and data-driven decision-making across various industries.

  • Business Analytics

The Business Analytics course is a specialized program designed to train students in using data-driven techniques to solve complex business problems. Through this course, students learn how to collect, clean, and analyze data to make strategic decisions and optimize business processes.

The curriculum includes statistical analysis, data modeling, and predictive analytics using tools like Excel, SQL, and Tableau. Graduates are equipped with valuable skills for roles in business intelligence, market research, and management consulting, enabling them to drive data-backed decisions in today’s competitive business landscape.

  • Digital Strategy

The Digital Strategy course is a comprehensive program that focuses on leveraging digital technologies to create effective business strategies. Students learn about the latest digital trends, social media marketing, content strategy, and online consumer behavior. The curriculum includes web analytics, search engine optimization (SEO), and digital advertising techniques.

Participants also gain insights into e-commerce strategies and data-driven decision-making in the digital realm. Graduates are well-prepared to lead and implement successful digital strategies, enabling businesses to thrive in the ever-evolving digital landscape.

Two Minors

The two minor courses are as follows:

  • Data Sciences

The Data Sciences course is an interdisciplinary program that equips students with the skills and knowledge to analyze and interpret vast amounts of data. Students learn statistical methods, data visualization, and machine learning techniques to extract valuable insights and make informed decisions.

The curriculum covers programming languages like Python and R, database management, and data mining. Students are prepared for careers in data analysis, data engineering, and data-driven decision-making across various industries.

  • Business Analytics

The Business Analytics course is a specialized program designed to train students in using data-driven techniques to solve complex business problems. Through this course, students learn how to collect, clean, and analyze data to make strategic decisions and optimize business processes.

The curriculum includes statistical analysis, data modeling, and predictive analytics using tools like Excel, SQL, and Tableau. Graduates are equipped with valuable skills for roles in business intelligence, market research, and management consulting, enabling them to drive data-backed decisions in today’s competitive business landscape.

You must take courses in both Data Sciences and Business Analytics to obtain a thorough education. Depending on your decision, you will continue your Program on one or more of ESSEC’s three campuses and will have the chance to enroll in classes or minor in the other orientations, ensuring that you have a diverse and well-rounded set of abilities.

The number of electives has no upper limit and multiple majors are an option. During their International Field Trip in Period 2, students visit a particular industrial hub and network with businesses.

MAJOR/MINOR IN DATA SCIENCES at CentraleSupelec in France (Paris Area)

The following courses are offered:

  • Big Data Algorithms, Techniques and Platforms

The Big Data Algorithms, Techniques, and Platforms course provides comprehensive training in cutting-edge methods and tools for processing, analyzing, and managing vast datasets to extract valuable insights efficiently.

  • Machine Learning

The Machine Learning course offers comprehensive instruction in algorithms, data analysis, and model development, empowering students to leverage artificial intelligence for problem-solving and predictive analytics in diverse industries.

  • Advanced Deep Learning

The Advanced Deep Learning course explores cutting-edge neural network architectures, optimization techniques, and computer vision applications, empowering students to push the boundaries of artificial intelligence and tackle complex real-world challenges.

  • Reinforcement Learning

The Reinforcement Learning course delves into the fundamentals of dynamic decision-making, exploring algorithms and strategies to enable machines to learn from interactions, paving the way for autonomous systems and optimal decision-making.

  • Network Science Analytics

The Network Science Analytics course explores the principles of complex networks, graph theory, and data analysis, empowering students to analyze interconnected systems and gain insights into social, biological, and technological phenomena.

  • Natural Language Processing

The Natural Language Processing course dives into the realm of language understanding and generation, covering techniques like sentiment analysis, language modeling, and machine translation to enable AI-driven communication and language-related applications.

  • Distributed Optimization and Computing

The Distributed Optimization and Computing course delves into parallel computing, optimization algorithms, and distributed systems, empowering students to solve large-scale problems efficiently and develop scalable applications in diverse fields.


The following courses are offered:

  • Forecasting and Predictive Analytics

The Forecasting and Predictive Analytics course equips students with essential skills to analyze data, build predictive models, and make accurate forecasts, enabling informed business decisions and future projections.

  • Marketing Analytics

The Marketing Analytics course empowers students to utilize data-driven approaches, explore consumer behavior, and optimize marketing strategies, resulting in effective campaigns, improved customer engagement, and enhanced business performance.

  • People Analytics

The People Analytics course focuses on leveraging data and statistical methods to understand workforce dynamics, enhance HR practices, and make informed decisions for talent acquisition, retention, and organizational development.

  • Decision Analytics

The Decision Analytics course teaches students how to use data analysis, modeling, and optimization techniques to make informed and effective decisions in various fields, improving overall business performance and outcomes.

  • Entrepreneurship for Data Driven Initiatives

The Entrepreneurship for Data-Driven Initiatives course equips aspiring entrepreneurs with the skills to leverage data analytics, make data-driven decisions, and develop innovative business initiatives, fostering successful ventures in the digital era.

  • Trading, Digital Transformation of Markets, and Fintech

The Trading, Digital Transformation of Markets, and Fintech course provide comprehensive insights into modern financial markets, cutting-edge trading strategies, and the integration of technology and innovation in the financial industry.


The following courses are offered:

  • Cyber Security

The Cyber Security course offers essential knowledge and practical skills to protect information systems, networks, and data from cyber threats, ensuring the confidentiality, integrity, and availability of digital assets.

  • Digital Marketing Strategy

The Digital Marketing Strategy course teaches students how to create effective online marketing campaigns, utilize social media, SEO, and analytics to reach target audiences, and achieve business objectives in the digital landscape.

  • Project Management for Digital Initiative

The Project Management for Digital Initiative course equips students with the skills to plan, execute, and monitor digital projects effectively, ensuring successful implementation and delivery of innovative digital initiatives.

  • Decision Analysis

The Decision Analysis course focuses on teaching students systematic approaches to analyze complex problems, make data-driven decisions, and optimize outcomes, enhancing their problem-solving and decision-making capabilities across various domains.

  • Strategy and Management

The Strategy and Management course provides insights into strategic planning, organizational leadership, and effective management practices, enabling students to make informed decisions and drive success in today’s dynamic business environment.

Hands-on Field Experience

Through these practical field experiences, the ESSEC MSBA Program allows you to not only learn about your area of specialization on paper but also to dive deep into its complexity:


You will complete and evaluate a Hackathon project in both M1 and M2, which is a project spread over a few days organized and monitored in collaboration with a partner company and requires creative ideas for data analysis and visualization. Ekimetrics and Artefact are two examples of partner companies.

Corporate Research Project

In the M2 year, a Corporate Research Project runs from October to March. Students use their own data to work in teams to find answers to important strategic problems given by partner organizations, giving them the opportunity to learn important lessons and become directly operational.

International Field Trip

The International Field Trip is a one-week travel in the M2 year to meet important business players, local experts, and business executives from around the world and challenge your understanding of best practices and new analytics applications being developed in other nations. You can visit places like Silicon Valley and Hong Kong.


During the M2 year, Masterclasses will be held all year round. Examples include Strategic Business Analytics, Data Security, Data Ethics Regulation, Data Driven Entrepreneurship, Business Ethics, AI in HR Management, Digital Economics.


There are two internships both at the end of year 1 (M1) and year 2 (M2).

Year 1 (4 to 6 months Internship)

At the conclusion of year 1 (M1), students may choose to complete a 4- to 6-month internship. You will be able to apply the knowledge and skills you have acquired in a practical setting thanks to this integrated professional experience.

Year 2 (4 to 6 months Internship or Professional Experience)

Your internship, which can take place anywhere in the globe and last for four to six months at the conclusion of year 2 (M2), is intended to improve your professional integration. You are likely to find an internship that matches your professional goals with ease thanks to the established network of ESSEC and CentraleSupelec partner businesses, universities, and alumni.

Admission Requirements

The ESSEC MSBA program has specific admission requirements that applicants need to fulfill. Here is an overview of the requirements:

  • Education:

Applicants should have a bachelor’s degree or equivalent from a recognized university or institution. While a background in data science, computer science, or a related field may be beneficial, ESSEC DSBA also welcomes candidates from various academic backgrounds, including business, engineering, economics, and more.

  • Work Experience:

At the time of application, a minimum of 2 years of full-time work experience after completing the Bachelor’s degree is required. 


While not always mandatory, submitting GMAT or GRE scores can strengthen your application and demonstrate your academic readiness for the program. If required, there might be a minimum score specified by the university.

  • English Proficiency

As the program is taught in English, non-native English speakers may need to provide English proficiency test scores such as TOEFL or IELTS, unless they have completed a degree in an English-speaking institution.

Meeting these admission requirements is essential to be considered for the ESSEC MSBA program.

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Campus and Location

Location and Regional Benefits

ESSEC Business School, one of the leading business schools in Europe, is located in Cergy, France. There are several location and regional benefits associated with ESSEC being situated in Cergy:

  1. Proximity to Paris: Cergy is located in the Île-de-France region, which is the economic and cultural center of France. The proximity to Paris, just 30 kilometers away, provides ESSEC students with easy access to numerous business and career opportunities in the capital city.
  2. International Environment: ESSEC’s international campus in Cergy promotes cultural exchange and offers a multicultural environment for students. This diversity enriches the learning experience by exposing students to different perspectives and ideas.
  3. Business Opportunities: Cergy is home to several multinational corporations and innovative startups. The presence of these companies provides ESSEC students with valuable opportunities for internships, collaborative projects, and potential employment.
  4. Quality of Life: ESSEC’s location in Cergy offers a pleasant and vibrant living environment. The city has well-developed infrastructure, including modern housing, recreational facilities, shopping centers, and restaurants.
  5. Natural Surroundings: Cergy offers beautiful natural landscapes, parks, and recreational areas. These natural surroundings provide students with opportunities for relaxation, outdoor activities, and a balanced lifestyle, enhancing their overall well-being.
  6. Academic Collaborations: ESSEC’s proximity to other prestigious institutions, such as the École Polytechnique and HEC Paris, facilitates collaborations and academic partnerships. Students can take advantage of shared resources, joint programs, and research initiatives within this renowned academic network.

Overall, the location of ESSEC in Cergy, France, provides students with access to a global city like Paris, a diverse and international environment, ample business opportunities, a high quality of life, natural surroundings, and academic collaborations. These factors contribute to a well-rounded education and a supportive ecosystem for personal and professional growth.

Resources Available to ESSEC Students

ESSEC Business School offers a wide range of resources and facilities to its students. Here are some of the resources available to ESSEC University students:

  1. Library and Online Databases: ESSEC has a well-equipped library with extensive collections of books, academic journals, periodicals, and online databases. Students have access to various research materials, both in print and digital formats, to support their academic studies and research.
  2. Study Spaces: ESSEC provides dedicated study spaces for students, including individual study carrels, group study rooms, and open seating areas. These spaces offer a conducive environment for learning and collaboration.
  3. Career Services: ESSEC has a comprehensive career services department that offers guidance and support to students in their career development. They provide assistance with resume writing, interview preparation, job search strategies, and organizing career fairs and networking events.
  4. Technology and IT Support: ESSEC provides access to computer labs, equipped with the necessary software and hardware for academic and research purposes. The university also offers IT support services to assist students with technical issues and provides access to online learning platforms.
  5. Language Support: ESSEC offers language support services, including language courses and language exchange programs, to help students enhance their language skills. This support is particularly useful for international students who may need assistance with language proficiency.
  6. International Exchange Programs: ESSEC has a strong network of partner universities around the world, allowing students to participate in international exchange programs. These programs offer the chance to study abroad and experience different cultures while continuing their academic progress.
  7. Sports and Recreation Facilities: ESSEC offers sports and recreation facilities, including gyms, sports fields, and fitness classes, to promote physical well-being and an active lifestyle among students.
  8. Counseling and Student Support: ESSEC provides counseling services to support students’ well-being and mental health. Trained professionals are available to offer guidance and assistance to students facing personal challenges or academic stress.

In a nutshell, the ESSEC Business School offers a comprehensive range of resources to its students. These resources contribute to a well-rounded and supportive environment for students.

Program Costs and Financial Aid

Tuition and fees

The tuition fees for the ESSEC MSBA program amount to €38,850. Additionally, there is an estimated living cost of €24,000. It’s important to note that tuition fees are subject to change, so it’s advisable to visit the ESSEC MSBA tuition fee page as well.

Scholarships and financial aid options

Pursuing an MSBA is a significant investment in your future and a crucial decision. ESSEC understands the importance of supporting exceptional candidates in realizing their aspirations. That’s why they offer a range of grants and merit-based scholarships to deserving individuals. Many choices are available to students to help them pay for their education and living costs. 

The Academic Excellence Scholarship is available to deserving candidates, while the Diversity Scholarship is available to students from a variety of cultural backgrounds in order to maintain the academic excellence of the program and improve our students’ education and experience. Open to all applicants and given based on the overall quality of their application, such as the academic excellence shown in the file, great Management exam scores, strong motivation, etc.

You can obtain a bank loan with a favorable interest rate as an ESSEC student that pays for your whole tuition and is repayable beginning at the conclusion of your first year of employment. To provide you with exceptional terms and conditions, ESSEC has forged a collaboration with the Cergy branches of three significant French banks (LCL, BNP Paribas, and Société Générale). 

A guarantor who resides in France is essential for loan applicants. The guarantor must be a French citizen, a member of a close family, or both in addition to having a monthly income sufficient to repay the loan installments, according to the banks. The student will be liable for any additional costs and fees.

Recap of Key Points

  1. Education: Applicants must possess a Bachelor’s degree.
  2. Work Experience: A minimum of 2 years of full-time work experience is required.
  3. GMAT/GRE: Although not mandatory, good scores in the GMAT/GRE are an added advantage for applicants.
  4. TOEFL/IELTS: Valid TOEFL or IELTS scores are required if the medium of instruction was not entirely in English.
  5. Campus Location: ESSEC Business School is located in Cergy, France. There are several location benefits associated with ESSEC being situated in Cergy like opening up to an international environment, gaining business opportunities, etc.
  6. Regional Benefits: The program offers advantages, such as exposure to diverse cultures and unique business practices in Europe, excellent connectivity, and a strong regional network.
  7. Resources Available: ESSEC offers a comprehensive range of resources like  career services, international exchange programs, etc. These resources contribute to a well-rounded and supportive environment for students.
  8. Program Costs: Tuition fees for the ESSEC MSBA program amount to €38,850, with an estimated living cost of €24,000.
  9. Financial Aid: ESSEC offers grants and merit-based scholarships for exceptional candidates. Applicants can also explore other funding options to support their MSBA journey.
  10. Reminder: Visit the official ESSEC website for detailed and updated information on the ESSEC MSBA program, including admission requirements, financial aid options, and any recent changes.

Call to action or next steps for interested readers

If you found this blog post on the ESSEC MSBA program insightful and are considering pursuing an MSBA at ESSEC, I encourage you to stay tuned for our upcoming blog on “How to Get into the ESSEC MSBA Program.” This blog will delve into crafting a robust application, including writing compelling essays, securing solid letters of recommendation, and presenting yourself effectively during interviews. We will also cover essential deadlines and offer valuable tips to enhance your chances of admission.

Whether you’re a prospective full-time or part-time student, this upcoming blog will serve as a valuable resource to navigate the application process successfully. It will equip you with the knowledge and insights to present your skills, experiences, and aspirations in the best possible light.

Getting into the ESSEC MSBA program is an exciting journey, and we are here to support you every step of the way. Stay tuned for our comprehensive guide on “How to Get into the ESSEC MSBA Program” and take the first step towards realizing your academic and career goals.

Remember, preparation and a thorough understanding of the application process can make a significant difference. We look forward to helping you navigate the path to your dream MSBA program at ESSEC.

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