IE MSBA Program: Complete Overview

Table of Content

Introduction

This blog aims to provide you with insightful information and an overview of the IE 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 IE 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 IE MSBA Program to empower prospective students to make informed decisions about their future.

The IE MSBA Program: Getting Started

The IE MSBA program will enhance you analytically. The most thorough education available in the field combines soft skills like leadership development with hard abilities like AI, data visualisation, and machine learning to fully complete your professional profile. Additionally, you’ll have the chance to participate in immersion weeks, exchange programs at other prestigious universities abroad, or internships with major corporations. The full curriculum, the Master in Business Analytics & Big Data, will prepare you for today’s most sought-after positions while future-proofing your career.

IE MSBA Program Overview

Program Structure and Duration

The IE MSBA program typically lasts for one year and follows a full-time format. It included a combination of core courses, elective courses, and a capstone project or internship. The core courses in the MSBA program usually covered fundamental topics in business analytics, data science, statistics, machine learning, and data visualisation. 

The elective courses allowed students to specialise in specific areas of interest, such as marketing analytics, financial analytics, or supply chain analytics. You can choose from a large selection of electives and specialties available, which vary from Industry 4.0 and the FMCG industry to Fintech. Additionally, you can choose to study full- or part-time. The program offers numerous professional certifications, including those from AWS, Cisco, Red Hat, and others.

IE Rankings and Reputation

IE Business School was widely regarded as one of the top business schools globally. Its reputation is built on strong academic programs, innovative teaching methods, and a focus on entrepreneurship and leadership development. In terms of rankings, IE Business School consistently appeared among the top-ranked business schools in various international rankings. 

The IE MSBA program was ranked 7th worldwide by the QS World University Rankings. These rankings considered factors such as program offerings, faculty expertise, research output, student satisfaction, and global reputation. is well-regarded for its quality of education and research in various business-related fields, such as finance, entrepreneurship, and management.

The school is known for its rigorous academic programs, experienced faculty members, and its focus on fostering innovation and entrepreneurial thinking among its students. IE business school is a prestigious institution with a strong overall reputation in science, engineering, and technology.

IE MSBA Curriculum

Through the extraction of pertinent insights from data and the use of sophisticated analytics to guide decision-making processes, the IE MSBA Curriculum shapes future data scientists who are prepared to assist their firms in becoming data-driven businesses. They are experts who can redesign processes, goods, and services by using machine learning and artificial intelligence to address user issues.

It is offered in two different formats: Full-Time 11-months (immersive year in Madrid and abroad). Part-time for 17 months (online with in-person meetings in Madrid and abroad).

Full-Time Program

You’ll gain a comprehensive skill set in four important areas with the full-time, in-depth MSBA Program that lasts for more than 11 months: Business Transformation, Data Science, Big Data Technologies, and Professional Skills.

You will work with a variety of Artificial Intelligence approaches, such as Machine Learning, Deep Learning, and Robotics, and acquire practical expertise in data collecting and analysis. 

You’ll also work with cutting-edge tools and technologies under the direction and supervision of knowledgeable academics as you develop your professional abilities and become ready for a career in business analytics. This will enable you to make future business decisions that will have a significant impact.

Pre-Program

In order to ensure that you are completely prepared for what is to follow, the Program begins with a variety of pre-programs. You’ll become proficient in the technical skills and knowledge required to utilise the Program to its fullest, including quantitative techniques, Python, SQL operations, and Linux commands. By putting you on par with your peers at the beginning of the Program, the pre-programs improve group projects and classroom discussions.

The subjects offered in the pre-program are as follows:

  • Quantitative Methods

You will acquire the foundational knowledge required for the Master in Business Analytics & Big Data through the Quantitative Methods Pre-Program. The basics of this research strategy place an emphasis on data analysis using statistical or mathematical methods and objective measurement. You will learn to gather information through surveys or questionnaires using quantitative approaches in order to identify correlations between variables within a particular group.

  • Coding in Python

Similar to Perl, Ruby, Scheme, or Java, Python is a powerful and easy-to-use programming language. Python can be used for data analysis with specific packages, such as pandas for data manipulation or NumPy and SciPy for scientific computing. You can create and animate images using Matplotlib, as well as explore machine learning and predictive data analysis with Scikit-learn.

  • Linux

All big data technologies operate under Linux, which is a crucial operating system. Even pupils with no prior knowledge of Linux will soon pick up on its features because it resembles other operating systems like Windows and macOS. Understanding the most fundamental Linux commands serves as a crucial foundation for more advanced program parts, like command-line interaction with the Hadoop software library.

  • SQL

One of the most used technologies in analytics, SQL is the language of data and is utilised by many businesses. You will acquire the fundamental abilities needed to manage data in a relational database management system during the Master’s in Business Analytics & Big Data program. You will also learn the SQL functions from the start. The SQL Pre-Program gives you the head start you need to later in the program achieve advanced SQL expertise.

Core Period

The core period lasts for 6 months. Your basis for adjusting to a digital world is laid out for you during the core period. In order to provide a thorough grasp of the program’s foundations, the core courses are covered in all three phases of your trip and are flawlessly integrated and complementary.

You will gain in-depth understanding of the sophisticated tools that are essential and required for the remainder of your Program during periods 1 and 2. You can develop the technical and soft skills required to start a successful professional career by enrolling in courses like Python, Data Analysis, and Digital Analytics, which teach you constantly growing topics.

First Term

The courses in the first term include:

  • Machine Learning

The first of three machine learning courses is this one. You will learn about some of the fundamental machine learning algorithms used frequently in predictive analytics and data science applications in part one. You will go through cluster, association, and regression analysis in particular (both standard linear and logit).

  • Statistics for Data Science

You will leave this course with a strong knowledge base and a practical approach for employing statistical and mathematical tools in data analysis.

  • Big Data & Artificial Intelligence in Business Strategy

This course gives you an overview of the remainder of the curriculum and a “big picture” understanding of big data and analytics. Learn about the job of data scientists and how it will change the world.

  • Modern Data Architectures for Big Data

This course serves as an introduction to the rest of the curriculum and provides you with a “big picture” understanding of big data and analytics. Aspects of application design and operation as well as architecture will be covered in this course. The focus of the course is understanding NoSQL technology. You will start by learning about Spark’s modular structure, which will be further explored with both hands-on exercises and academic information.

Students will also learn how modern businesses are embracing trends as a result of the development of big data and cloud technologies. You will have a solid understanding of big data enterprise designs based on the Hadoop framework and its ecosystem, which is employed by many contemporary businesses, by the end of this course.

  • SQL Based Data Architectures

The first steps in transforming a business into a data-driven organisation are covered in the course, which introduces business intelligence and data warehousing. You will discover the logical and physical design of a database in this course. Additionally, you will learn how to design tables that house business data using SQL (Structured Query Language) and how to populate, modify, and query that data using SQL.

  • Python for Data Analytics I

You will learn about general Python programming concepts as well as specialised applications of machine learning in this course. Similar to Perl, Ruby, Scheme, or Java, Python is a powerful and easy-to-use programming language. Python can be used for data analysis with specific packages, such as pandas for data manipulation or NumPy and SciPy for scientific computing. You can create and animate images using Matplotlib, as well as explore machine learning and predictive data analysis with Scikit-learn.

Second Term

Courses in the second term include:

  • Big Data & Artificial Intelligence in Operations Management

You will leave this course with a solid foundation in econometrics and a working methodology for using forecasting models in business and economics. Additionally, one of the most well-known families of forecasting linear models will be identified, and its use will be demonstrated.

  • Modern Data Architectures for Big Data

Aspects of application design and operation as well as architecture will be covered in this course. The foundation of the course is understanding NoSQL technologies, which you will do as you gain database experience. You will start by learning about Spark’s modular structure, which will be further explored with both hands-on exercises and academic information.

Students will also learn how modern businesses are embracing trends as a result of the development of big data and cloud technologies. You will have a solid understanding of big data enterprise designs based on the Hadoop framework and its ecosystem, which is employed by many contemporary businesses, by the end of this course.

  • Big Data & Artificial Intelligence in Marketing

This course gives a general introduction of the popular analytical methods utilised in marketing today. It also emphasises the ecosystem of marketing and analytics used by businesses. By examining many real-life scenarios and working together to develop answers, this course will familiarise you with real challenges. This course will strengthen your intuition and equip you with the skills necessary to gather, evaluate, and use data for marketing, with a focus on digital marketing.

  • Machine Learning

The science of machine learning enables computers to learn without explicit programming. Machine learning is the study of the application of mathematical models that can learn from, and make predictions on, data. It has strong ties to computational learning theory (Artificial Intelligence) and statistics. Because of this, machine learning algorithms may anticipate or decide based on future data without having to be reProgrammed.

  • Python for Data Analysis II

You will learn about general Python programming concepts as well as specialised applications of machine learning in this course.

  • Data Visualization

The goals, processes, resources, and guidelines for producing powerful data visualisations will be covered in this course. You will develop a thorough understanding of the wide range of data visualisation applications and show data practically. To foster a critical mentality, this will be combined with learning the fundamentals of data visualisation.

Elective Period

The elective period lasts for 4 months. The elective period gives you the chance to narrow your career emphasis. You can utilise electives to complement and customise the key courses in your Program and open doors to your dream employment.

Select electives that are related to your area of concentration or go deeper into subjects that are most relevant to your professional goals. While choosing a concentration is not required, doing so will help you comprehend the market emphasis and your particular areas of industry interest. You can select only one concentration.

Concentration Areas

The concentration areas include the following:

  • Smart Health

The tools required to convert data into trustworthy and meaningful information are provided by the healthcare concentration.

  • Industry 4.0

The Internet of Things, manufacturing technologies, and other topics pertinent to the development of the smart factory will all be covered in-depth in this emphasis.

  • Fintech

This emphasis can assist students in entering industries like financial services and prepare them for a variety of corporate finance professions. Topics covered include fundamentals of blockchain and cryptocurrencies, algorithmic trading, and pricing.

  • Advanced AI

The creation of cutting-edge artificial intelligence business solutions will be the focus of this concentrate.

  • Retail and FMCG

Learn the skills required to restructure your company to take advantage of the numerous opportunities that the world of big data and analytics offers for traditional retailers and FMCG companies.

  • Technology, Media, and Entertainment (TME)

Students who choose this emphasis will have in-depth knowledge of new media, emerging technologies, and the technology ecosystem.

Impact Projects

Your learning journey will be completed with an Impact Project. In essence, it will take place over the period of two months as a final integrative exercise. You can decide between a “Corporate Project” with a company or a “Venture Lab Business Plan” in the area of Big Data and Business Analytics.

Corporate Project

The Corporate Project is a consulting mini-project that responds to the actual requirements of a company. Teams of students work with a business, NGO, startup, or institution to tackle a big data or business analytics challenge with the guidance of a mentor. The students will create a proposal over the course of two months during the Master Electives Period. Students can use their “toolkit” as part of the corporate project to assist in resolving a practical issue.

Venture Project

The Venture Project coaches and trains teams to research, test, and create Big Data and/or Business Analytics start-up enterprises that are prepared for launch. It’ll be developed via the Venture Lab. The ultimate objective of the Venture Lab is to end the program with a select group of enthusiastic customers. Giving teams the chance to develop ready-to-launch start-up projects is the main goal of a venture project.

Make the most of your MSBA program with exciting certificates, exchange Programs, and internships.

Exchanges

Go on an international exchange during your term 3 elective period at one of IE’s top-notch partner universities. Students will deepen their academic understanding, broaden their foreign experience, and develop their professional networks during the exchange. With Imperial College or London Business School, the MBD provides exchange programs.

Internships

You can apply to do an internship during the Elective Period. Two methods exist for applying to internships:

  • You can apply to intern with one of the partner companies listed by the IE School of Science and Technology. These businesses are highly diversified and might offer internships abroad.
  • Alternatively, if you locate an internship through another channel, your course coordinator will need to approve it in accordance with the requirements and eligibility standards.
Sustainability Certificate

You will be equipped to address the social, economic, and environmental concerns of the modern world in any organisation with the IE Certificate on Foundations of Sustainability. You can finish this credential in addition to your core coursework. Students must earn 10 pertinent credits in order to receive the certificate. Through appropriate coursework, electives, and extracurricular pursuits like involvement in particular student groups, students can earn these credits.

Part-Time Program

You can build a comprehensive skill set in four important areas with the MSBA part-time Program, which lasts over 17 months: business transformation, data science, big data technologies, and professional skills.

You will work with a variety of Artificial Intelligence approaches, such as Machine Learning, Deep Learning, and Robotics, and acquire practical expertise in data collecting and analysis.

You’ll also work with cutting-edge tools and technologies under the direction and supervision of knowledgeable academics as you develop your professional abilities and become ready for a career in business analytics. This will enable you to make future business decisions that will have a significant impact.

Pre-Program

In order to ensure that you are completely prepared for what is to follow, the Program begins with a variety of pre-programs.

The subjects offered in the pre-program are as follows:

  • Quantitative Methods

You will acquire the foundational knowledge required for the Master in Business Analytics & Big Data through the Quantitative Methods Pre-Program.

  • Coding in Python

You can create and animate images using Matplotlib, as well as explore machine learning and predictive data analysis with Scikit-learn.

  • Linux

Understanding the most fundamental Linux commands serves as a crucial foundation for more advanced program parts, like command-line interaction with the Hadoop software library.

  • SQL

The SQL Pre-Program gives you the head start you need to later in the program achieve advanced SQL expertise.

Core Period

The core period lasts for 11 months. Your basis for adjusting to a digital world is laid out for you during the core period. You will gain in-depth understanding of the sophisticated tools that are essential and required for the remainder of your Program during periods 1 and 2.

First Term

The courses in the first term include:

  • Machine Learning

You will learn about some of the fundamental machine learning algorithms used frequently in predictive analytics and data science applications in part one.

  • Statistics for Data Science

You will leave this course with a strong knowledge base and a practical approach for employing statistical and mathematical tools in data analysis.

  • Big Data & Artificial Intelligence in Business Strategy

This course gives you an overview of the remainder of the curriculum and a “big picture” understanding of big data and analytics. Learn about the job of data scientists and how it will change the world.

  • Modern Data Architectures for Big Data

This course serves as an introduction to the rest of the curriculum and provides you with a “big picture” understanding of big data and analytics. You will have a solid understanding of big data enterprise designs based on the Hadoop framework and its ecosystem.

  • SQL Based Data Architectures

You will discover the logical and physical design of a database in this course.

  • Python for Data Analytics I

You will learn about general Python programming concepts as well as specialised applications of machine learning in this course.

Second Term

Courses in the second term include:

  • Big Data & Artificial Intelligence in Operations Management

You will leave this course with a solid foundation in econometrics and a working methodology for using forecasting models in business and economics.

  • Modern Data Architectures for Big Data

The foundation of the course is understanding NoSQL technologies, which you will do as you gain database experience. You will start by learning about Spark’s modular structure, which will be further explored with both hands-on exercises and academic information.

  • Big Data & Artificial Intelligence in Marketing

This course gives a general introduction of the popular analytical methods utilised in marketing today. It also emphasises the ecosystem of marketing and analytics used by businesses.

  • Machine Learning

Machine learning is the study of the application of mathematical models that can learn from, and make predictions on, data. It has strong ties to computational learning theory (Artificial Intelligence) and statistics.

  • Python for Data Analysis II

You will learn about general Python programming concepts as well as specialised applications of machine learning in this course.

  • Data Visualization

The goals, processes, resources, and guidelines for producing powerful data visualisations will be covered in this course.

Elective Period

The elective period lasts for 6 months. The elective period gives you the chance to narrow your career emphasis. You can utilise electives to complement and customise the key courses in your Program and open doors to your dream employment. You can select only one concentration.

Concentration Areas

The concentration areas include the following:

  • Smart Health

The tools required to convert data into trustworthy and meaningful information are provided by the healthcare concentration.

  • Industry 4.0

The Internet of Things, manufacturing technologies, and other topics pertinent to the development of the smart factory will all be covered in-depth in this emphasis.

  • Fintech

This emphasis can assist students in entering industries like financial services and prepare them for a variety of corporate finance professions. Topics covered include fundamentals of blockchain and cryptocurrencies, algorithmic trading, and pricing.

  • Advanced AI

The creation of cutting-edge artificial intelligence business solutions will be the focus of this concentrate.

  • Retail and FMCG

Learn the skills required to restructure your company to take advantage of the numerous opportunities that the world of big data and analytics offers for traditional retailers and FMCG companies.

  • Technology, Media, and Entertainment (TME)

Students who choose this emphasis will have in-depth knowledge of new media, emerging technologies, and the technology ecosystem.

Impact Projects

Your learning journey will be completed with an Impact Project. In essence, it will take place over the period of two months as a final integrative exercise. You can decide between a “Corporate Project” with a company or a “Venture Lab Business Plan” in the area of Big Data and Business Analytics.

Corporate Project

The Corporate Project is a consulting mini-project that responds to the actual requirements of a company. The students will create a proposal over the course of two months during the Master Electives Period.

Venture Project

The Venture Project coaches and trains teams to research, test, and create Big Data and/or Business Analytics start-up enterprises that are prepared for launch. It’ll be developed via the Venture Lab.

IE MSBA Admission Requirements

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

  • Education:

A bachelor’s degree from a recognized university or institution, usually in a related field like business, engineering, computer science, or mathematics.

  • Work Experience:

At the time of application, a minimum of 3 years of full-time work experience after completing the Bachelor’s degree is required. 

  • GMAT/GRE:

Good scores in the GMAT/GRE are mandatory for full-time applicants, regardless of work experience. Standardised test scores, such as GMAT or GRE, showcasing your quantitative and analytical abilities is required. 

  • English Proficiency:

If the medium of instruction during undergraduate or postgraduate studies was not entirely in English, applicants must provide valid TOEFL or IELTS scores. 

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

IE Campus and Location

Location and Regional Benefits

The IE University benefits from its strategic location in Segovia, Spain. Here are the key advantages:

  1. Rich Cultural Heritage: Segovia is a historic city with a rich cultural heritage, providing a unique and inspiring environment for students to immerse themselves in history and art.
  2. Proximity to Madrid: Being close to the capital city of Madrid offers students easy access to numerous internship and job opportunities, as well as a vibrant cultural scene and international networking possibilities.
  3. Natural Beauty: The picturesque surroundings of Segovia, including its UNESCO World Heritage-listed aqueduct and stunning landscapes, create a tranquil and inspiring setting for studying and personal growth.
  4. Authentic Spanish Experience: Living in Segovia allows students to experience the authentic Spanish lifestyle, cuisine, and traditions, providing a well-rounded cultural experience.
  5. Close-Knit Community: The smaller size of Segovia fosters a close-knit community, making it easier for students to build strong relationships with peers and professors, enhancing their overall university experience.

To sum it all up, the IE University’s location in Segovia, Spain offers cultural richness, proximity to Madrid, a close-knit community, and a picturesque natural environment.

Resources Available to IE Students

The IE University offers a wide range of resources and support to enhance the student experience and facilitate personal and professional development. Here are some notable resources available to students:

  1. Campus Facilities: Access to state-of-the-art libraries, study spaces, computer labs, and recreational areas on campus.
  2. Career Services: Support for career development, including job placement assistance, internship opportunities, and networking events.
  3. Student Clubs and Organisations: A wide range of clubs and societies to participate in, covering various interests and fields of study.
  4. Academic Advisors: Personalised guidance from academic advisors to help students navigate their academic journey.
  5. Language Center: Language courses and resources to improve language skills or learn new languages.
  6. Health and Counseling Services: On-campus medical facilities and counselling services to support students’ physical and mental well-being.
  7. Study Abroad Programs: Opportunities to study at partner universities around the world and gain international exposure.
  8. Online Learning Platforms: Access to online resources and learning platforms to supplement classroom learning.

In a nutshell, the IE University offers a comprehensive range of resources for its students. These resources contribute to a well-rounded and supportive environment for students’ personal, academic, and leadership development.

IE MSBA Program Costs and Financial Aid

Tuition and fees

The tuition fees for the IE MSBA program amount to €41,000. Additionally, there is an estimated living cost of €11,000. It’s important to note that tuition fees are subject to change, so it’s advisable to visit IE 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. IE understands the importance of supporting exceptional candidates in realising their aspirations. That’s why they offer a range of grants and merit-based scholarships to deserving individuals.

IE recognizes that deciding to enrol in a master’s program is a significant investment in your future. At IE Business School, they offer a variety of financial aid opportunities to support exceptional new master’s students from all backgrounds who may be experiencing financial hurdles. They do this because they seek to invest in diversity and brilliance.

The IE staff is glad to help you explore the solutions that are most suitable for your particular situation. Many prospective master’s students with financial limitations use a range of sources to pay the tuition and living expenses associated with their study. IE works to support you as you pursue your ongoing education and develop into the greatest you that you can be by offering resources and individualised assistance.

Unless otherwise stated, the deadline for scholarships is the program start date. No application is necessary for any of the awards. Financial need is taken into account for all scholarships, especially for talented applicants who show difficulty obtaining other forms of funding, such loans. Please be aware that meeting the minimal eligibility requirements does not ensure a satisfactory outcome. For more information, please visit the IE business school financial page.

Recap of Key Points

  1. Education: Applicants must possess a Bachelor’s degree.
  2. Work Experience: A minimum of 3 years of full-time work experience is required.
  3. GMAT/GRE: Good scores in the GMAT/GRE are mandatory for full-time applicants.
  4. TOEFL/IELTS: Valid TOEFL or IELTS scores are required if the medium of instruction was not entirely in English.
  5. Campus Location: IE University’s strategic location in Segovia, Spain, offers cultural richness, proximity to Madrid, and a close-knit community.
  6. Regional Benefits: IE University in Segovia, Spain, provides a unique cultural heritage, proximity to Madrid, and a picturesque natural environment.
  7. Resources Available: For its students, the IE University provides a wide variety of resources. These tools enhance the development of students’ leadership, academic, and personal skills in a well-rounded and encouraging atmosphere.
  8. Program Costs: Tuition fees for the IE MSBA program amount to €41,000, with an estimated living cost of €11,000.
  9. Financial Aid: IE 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 IE website for detailed and updated information on the IE 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 IE MSBA program insightful and are considering pursuing an MSBA at IE, I encourage you to stay tuned for our upcoming blog on “How to Get into the IE 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 IE 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 IE MSBA Program” and take the first step towards realising 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 IE.

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