
Rennes School of Business

Brittany
,France

Program Name
MSc in Data and Business Analytics

Deadline
November 30th, 2023
Overview

The MSc in Data and Business Analytics at Rennes School of Business is meticulously crafted to equip students with advanced analytical skills, enabling them to leverage data science and machine learning to tackle pressing business challenges. This program is tailored for aspiring data professionals, whether they are recent graduates or seasoned professionals seeking career advancement in the thriving field of business analytics. Over the course of approximately 15 months, students will immerse themselves in a dynamic learning environment that balances theoretical knowledge with hands-on applications. The curriculum is designed to cover a comprehensive range of topics essential for mastering data analytics in a business context, such as finance, marketing analytics, predictive modeling, and decision-making processes, ensuring graduates are well-prepared for complex market challenges.
This program offers a rigorous curriculum that encompasses a variety of subjects pivotal to business analytics. Key courses include Data Mining and Predictive Analytics, which teaches students how to extract meaningful insights from vast datasets, and Business Intelligence, where students learn to utilize data visualization tools to aid strategic decision-making. Other notable courses include Statistical Analysis, focusing on statistical methods for data interpretation, and Machine Learning, which provides students with practical knowledge on implementing machine learning algorithms in real-world scenarios. Furthermore, the program encourages the development of soft skills through courses like Business Communication, preparing students to effectively articulate data-driven insights to stakeholders across various organizational levels.
At Rennes School of Business, students will benefit from faculty members who are not only experts in their fields but also actively engaged in cutting-edge research. The faculty’s diverse backgrounds and experiences bring a rich perspective to the classroom. Students will have the opportunity to learn from individuals with real-world experience in top-tier companies, who will share insights on current industry trends and best practices. The teaching methodology emphasizes collaboration and critical thinking, ensuring that students not only grasp theoretical concepts but also develop the practical skills necessary to apply their knowledge in professional settings.
A distinctive feature of the MSc in Data and Business Analytics program is the strong emphasis on research opportunities and industry connections. Students are encouraged to engage in research projects aligned with real-world problems, allowing them to collaborate with businesses and gain invaluable experience. The school has established partnerships with leading companies across various sectors, facilitating internship placements that provide students with practical, hands-on experience. These internships often lead to job offers post-graduation, thanks to the robust network of alumni who have successfully transitioned into influential roles within the industry.
Upon completion of the program, graduates will find themselves well-equipped for a variety of lucrative career pathways. The skills acquired during their studies will open doors to roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Business Analyst, among others. The increasing demand for data-savvy professionals in today's data-driven economy ensures that students can expect competitive salaries upon entering the job market. Alumni have successfully secured positions in renowned organizations, such as Deloitte, Accenture, and IBM, further testament to the program’s effectiveness in preparing students for successful careers.
Why Study MSc in Data and Business Analytics at Rennes School of Business?
- Comprehensive Curriculum: A well-rounded program that combines theoretical understanding with practical applications, covering essential topics in data analytics.
- Expert Faculty: Learn from accomplished professors and industry practitioners who bring real-world insights and experiences into the classroom.
- Strong Industry Connections: Benefit from our extensive network of partnerships with top companies, providing access to internships and job opportunities.
- Research Opportunities: Engage in practical research projects that address real business problems and contribute to innovations in the field.
- Alumni Success Stories: Join a community of successful graduates who have excelled in diverse industries and continue to shape the future of business analytics.
- Diverse Learning Environment: Experience a multicultural atmosphere with a 55% international student body, enriching your educational journey.
To be considered for admission to the MSc in Data and Business Analytics program, applicants must meet specific requirements, including a relevant undergraduate degree and proficiency in English. Accepted tests for English proficiency include the IELTS, with a minimum score of 6.0, and the TOEFL, requiring a score of at least 80. The application deadline for the upcoming winter intake is November 30th, 2023. Students are encouraged to gather their application materials early to ensure a smooth admission process.
This program is not only an academic venture but also a significant step towards a rewarding career in data analytics. With the skills acquired, graduates are poised to make impactful contributions within their organizations and the broader business community. The MSc in Data and Business Analytics at Rennes School of Business is not just a degree; it’s a transformative experience that prepares students for the realities of the data-driven business landscape.

Duration
15 Months
Class Profile
Diversity
Africa:
1%Europe:
15%Others:
1%Asia:
5%North America:
2%South America:
1%France:
80%Eligibility Criteria
English Proficiency Tests
IELTS
6
TOEFL
80
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Deadlines
Standard Deadline | |
---|---|
Winter | Nov 30, 2023 |
FAQs
- Admissions Requirements:
To be considered for admission to the MSc in Data and Business Analytics program, applicants must meet the following criteria:
- A relevant undergraduate degree.
- Proficiency in English, demonstrated by accepted tests such as the IELTS with a minimum score of 6.0, or the TOEFL with a minimum score of 80.
The application deadline for the upcoming winter intake is November 30th, 2023. It is recommended that students prepare their application materials early to ensure a smooth admission process.
- Program Structure and Duration:
The MSc in Data and Business Analytics program is designed to be completed over approximately 15 months. The curriculum includes a comprehensive range of topics essential for mastering data analytics in a business context.
Students will engage in both theoretical studies and hands-on applications, ensuring a balanced learning experience. Key areas of focus include:
- Data Mining and Predictive Analytics
- Business Intelligence
- Statistical Analysis
- Machine Learning
- Business Communication
This diverse curriculum prepares students for various challenges in the field of business analytics.
- Teaching Methods:
The teaching methodology at Rennes School of Business emphasizes collaboration and critical thinking. Students are encouraged to engage in discussions and group projects, which enhance their understanding of theoretical concepts while developing practical skills necessary for real-world applications.
Faculty members are experts in their fields and actively engaged in cutting-edge research, bringing real-world insights and experiences into the classroom. This blend of academic rigor and practical relevance prepares students for the complexities of the business analytics landscape.
- Program Highlights:
The MSc in Data and Business Analytics program at Rennes School of Business offers several distinctive features that enrich the educational experience:
- Comprehensive Curriculum: A well-rounded program covering essential topics in data analytics.
- Expert Faculty: Learn from accomplished professors and industry practitioners.
- Strong Industry Connections: Access to internships and job opportunities through an extensive network.
- Research Opportunities: Engage in practical projects addressing real business problems.
- Alumni Success Stories: Join a community of successful graduates making an impact in the industry.
- Diverse Learning Environment: Experience a multicultural atmosphere with a significant international student body.
- Career Prospects:
Graduates of the MSc in Data and Business Analytics will be well-equipped for a variety of lucrative career pathways in the data-driven economy. The skills acquired during the program open doors to roles such as:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Business Analyst
The increasing demand for data-savvy professionals ensures competitive salaries upon entering the job market. Alumni have successfully secured positions in renowned organizations such as Deloitte, Accenture, and IBM, indicating strong career opportunities stemming from this program.
- Unique Aspects:
One of the distinctive features of the MSc in Data and Business Analytics program is its strong emphasis on research opportunities and industry connections. Students are encouraged to engage in research projects that align with real-world business problems, allowing them to collaborate with companies and gain invaluable experience.
The school has established partnerships with leading companies across various industries, facilitating internship placements that provide practical, hands-on experience. These internships often lead to job offers post-graduation, supported by a robust network of alumni who have successfully transitioned into influential roles within the industry.
- Preparation for Real-World Challenges:
The MSc in Data and Business Analytics program prepares students to tackle real-world business challenges by providing a blend of theoretical knowledge and practical applications. The curriculum covers critical areas such as:
- Data Mining and Predictive Analytics
- Business Intelligence
- Statistical Analysis
- Machine Learning
Additionally, the program encourages the development of soft skills through courses like Business Communication, enabling students to effectively articulate data-driven insights to stakeholders. The emphasis on research projects and industry connections further equips students to apply their learning in professional settings.
- Support During Studies:
Students enrolled in the MSc in Data and Business Analytics program can expect a supportive learning environment facilitated by expert faculty members who are committed to student success. The faculty's diverse backgrounds and experiences contribute to a rich educational experience.
Additionally, the program's emphasis on collaboration encourages students to support one another through group projects and discussions, enhancing their learning journey. The school also provides access to resources for internships and job placements through its extensive industry connections.
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