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Master's Degree Business & Management Full Time

MSc in DataSciences and Business Analytics

at Central Supélec · France

Duration

1 or 2 years depending on background and degree

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

Campus

Paris-Saclay, ESSEC Cergy campus

About this program

Course Overview

The Master's degree in Data Sciences and Business Analytics at Central Supélec is designed to equip students with the necessary tools to thrive in the rapidly growing fields of data analysis and business intelligence. The program covers a diverse range of topics, including statistical analysis, machine learning, data mining, and big data technologies. Students will also explore the application of these techniques to real-world business problems through various case studies and projects.

This program combines theoretical knowledge with practical skills, providing students with the opportunity to engage in hands-on learning experiences. Throughout the course, students will gain proficiency in programming languages and tools commonly used in data science, such as Python, R, and SQL. In addition, they will develop critical thinking and problem-solving skills essential for making informed business decisions.

Studying at Central Supélec offers international students a unique opportunity to immerse themselves in a country known for its innovation and culture. The diverse student community fosters a rich learning environment where students can collaborate and network with peers from various backgrounds, enhancing their global perspective and employability.

Entry requirements

Entry Requirements

To be considered for admission to the MSc in Data Sciences and Business Analytics, applicants typically need to hold a Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Business. Strong analytical skills and a solid foundation in mathematics and programming are essential. Additionally, relevant work experience or internships in data-related positions may strengthen an application.

English:

English Language Requirements

Prospective students are generally expected to demonstrate proficiency in English. This can be shown through standardized tests such as IELTS or TOEFL. A typical requirement might include a minimum IELTS score of 6.5 or a TOEFL score of 90, but students should check the official requirements for specifics.

International students:

International Student Requirements

International students are required to obtain a student visa to study in the country. This process typically involves providing proof of admission, sufficient financial resources, and health insurance. It is essential for students to check the latest official requirements and necessary documentation specific to their nationality prior to applying.

Career outcomes

Career Outcomes

  • Data Scientist
  • Business Analyst
  • Data Analyst
  • Machine Learning Engineer
  • Consultant in Data Strategy
  • Quantitative Analyst
  • Business Intelligence Developer

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