MSc Data Science & Organisational Behaviour

The MSc in Data Science & Organisational Behaviour at Burgundy School of Business offers a unique interdisciplinary curriculum designed to equip students with advanced skills in data analysis, statistical modeling, and insight extraction, combined with a comprehensive understanding of organisational dynamics and human behaviour within business contexts. This programme aims to prepare graduates to become data-driven decision-makers capable of navigating complex organisational environments by integrating rigorous analytical techniques with organisational management principles. Throughout the course, students will engage with cutting-edge topics such as machine learning, big data analytics, data visualization, and predictive modelling, alongside studies in leadership, change management, team dynamics, and organisational psychology. The programme emphasizes practical learning through real-world projects, internships, and collaborations with industry partners, providing students with valuable hands-on experience and fostering a deep understanding of how data influences organisational strategy and operations. The curriculum is designed to develop both technical expertise and soft skills, ensuring graduates can effectively communicate insights, lead data-centric initiatives, and contribute to sustainable organisational development. Classes are delivered by renowned academics and industry professionals, ensuring up-to-date insights and best practices. With its blend of data science and organisationalbehaviour, this MSc prepares students for successful careers in consultancy, business analytics, HR analytics, strategic planning, and beyond. Students will benefit from the school's strong links with the business community, international networking opportunities, and a vibrant multicultural campus environment. Graduates of the MSc in Data Science & Organisational Behaviour will be well-positioned to lead transformative projects, influence organisational change, and harness data to drive business success in various sectors around the globe.

The MSc in Data Science & Organisational Behaviour at Burgundy School of Business offers a comprehensive curriculum designed to equip students with a unique blend of technical skills and organizational insights. This innovative program focuses on developing advanced competencies in data analysis, machine learning, and statistical modelling, enabling students to extract valuable insights from complex data sets across various business contexts. Alongside technical training, the programme emphasizes the understanding of human behavior within organizations, leadership dynamics, and change management, preparing graduates to navigate and influence organizational cultures effectively.

Throughout the course, students engage in a variety of practical projects, case studies, and internships that foster real-world application of theoretical concepts. The curriculum covers essential topics such as data management, programming languages like Python and R, data visualization, and predictive modelling, complemented by courses in organizational psychology, management strategies, and decision-making processes. This interdisciplinary approach ensures that graduates are not only proficient in data science techniques but also adept at applying them to solve organizational challenges, enhance operational efficiency, and support strategic decision-making.

The programme is delivered through a combination of lectures, seminars, workshops, and team projects, encouraging collaborative learning and critical thinking. Moreover, students have access to advanced laboratories and resources for data analysis and research. The faculty comprises experts from academia and industry, offering insights grounded in current trends and practices within the fields of data science and organizational behavior.

Graduates of this MSc programme are well-prepared to pursue careers in data-driven roles such as data analysts, business intelligence specialists, organizational consultants, or strategic planners. They are equipped to work in diverse industries including finance, marketing, human resources, and technology. The programme also provides a solid foundation for those wishing to continue their studies through doctoral research or specialized certifications. Overall, the MSc in Data Science & Organisational Behaviour aims to develop versatile professionals who can harness data and human dynamics to create innovative solutions and drive organizational success.

Program requirements include a relevant undergraduate degree or equivalent qualification, demonstrating strong academic performance and analytical skills. Applicants must submit a completed application form along with official transcripts, curriculum vitae, and a motivational letter explaining their interest in MSc Data Science & Organisational Behaviour. Proficiency in English must be demonstrated through standardized tests such as TOEFL or IELTS, unless the applicant's first language is English or they have previously completed a degree conducted in English. Additionally, candidates are required to provide GRE or GMAT scores, although these may be optional depending on the applicant's academic background. Work experience in related fields is considered an asset but is not mandatory. International applicants should verify visa requirements and ensure compliance with the university's admission policies for international students. The admissions committee reviews all applications holistically, considering academic records, motivation, and professional experience. There may also be an interview process, either in person or online, to assess the applicant's motivation and compatibility with the program. Candidates who meet the eligibility criteria and are shortlisted will be invited for the interview stage. Upon admission, students must fulfill tuition fee payment deadlines and may be required to attend orientation sessions. The program is designed to equip students with foundational knowledge in data analysis, machine learning, organizational behaviour theories, and management strategies. Students are expected to complete coursework, participate actively in group projects, and undertake a final independent research project. In some cases, prerequisites in mathematics or statistics may be recommended to ensure student success in quantitative components of the curriculum. The program duration generally spans one year of full-time study or its part-time equivalent, with continuous assessment through exams, projects, and presentations. Graduates are expected to develop both technical expertise and leadership skills to analyse complex data-driven problems within organizational contexts.

The MSc Data Science & Organisational Behaviour program at Burgundy School of Business offers various financing options to support students throughout their studies. Tuition fees are set at a competitive rate compared to similar programs in France, with current fees approximately €15,000 to €20,000 per year for international students, though specific amounts may vary annually. To assist students in funding their education, Burgundy School of Business provides several financial aid opportunities.

Firstly, students can apply for external scholarships offered by government agencies, private foundations, and international organizations. These scholarships often require applicants to demonstrate academic excellence, financial need, or specific eligibility criteria such as nationality or field of study. The university also facilitates access to Erasmus+ grants for students participating in exchange programs or internships within Europe, which can significantly offset costs.

Secondly, Burgundy School of Business offers internal scholarships based on merit or need. These awards are highly competitive and are awarded based on academic performance, motivation, and potential contribution to the university community. To apply, students typically need to submit a scholarship application alongside their admission documents, highlighting their academic achievements and financial circumstances.

Thirdly, students may consider financing their studies through bank loans or sponsorships. French banks offer specialized education loans with favorable interest rates and repayment plans, often requiring proof of admission and a detailed study plan. Some students secure sponsorships from their home country or employer, which can cover part or all of the tuition fees and living expenses.

Moreover, students enrolled in the MSc Data Science & Organisational Behaviour program are encouraged to explore part-time work opportunities during their studies, either on-campus or within the local Dijon area. These jobs help students gain practical experience while supporting their financial needs. The university’s career services provide guidance on available employment options and sometimes host job fairs connecting students with prospective employers.

Finally, the program's diverse student body and international orientation mean that many students utilize a combination of these financing options to fund their master's education effectively. The university’s dedicated financial aid office offers personalized support to help students navigate available resources and develop comprehensive financial plans tailored to their individual circumstances. Overall, Burgundy School of Business aims to make graduate education accessible through a variety of financing solutions, ensuring students can focus on their academic and professional development without undue financial stress.

The MSc Data Science & Organisational Behaviour programme at Burgundy School of Business is designed to equip students with a comprehensive understanding of data analytics, machine learning, and organizational psychology. The program integrates technical skills in data science with critical insights into organizational dynamics, enabling graduates to analyze complex business problems and develop strategic solutions. Students learn to manipulate large datasets using modern software tools and programming languages such as Python and R, while also gaining in-depth knowledge of organizational behavior theories, leadership, and change management. The curriculum includes courses on data visualization, statistical methods, artificial intelligence, as well as modules on teamwork, communication, and decision-making within organizations. The programme aims to produce well-rounded professionals capable of leveraging data to improve organizational effectiveness, innovate business processes, and contribute to data-driven decision-making. Typically, the programme duration is one year for full-time students, with opportunities for internships and practical projects in real-world business settings. The school places a strong emphasis on intercultural learning and international exposure, attracting students from diverse backgrounds. Graduates of this programme are prepared for careers in consulting, data analysis, organizational development, and strategic management across various industries. Career services and alumni networks provide support for placements and professional development. The school’s facilities include modern classrooms, dedicated data labs, and collaboration spaces that foster innovation and teamwork. The programme is delivered through a combination of lectures, case studies, group projects, and seminars, encouraging active participation and experiential learning. Students benefit from close interactions with faculty members who are experts in their fields, as well as guest lectures from industry professionals. Admission requirements typically include a relevant undergraduate degree, proficiency in English, and a motivation letter. applicants are encouraged to demonstrate an interest in both data science and organizational studies. The Burgundy School of Business maintains strategic partnerships with companies and institutions worldwide, providing students with international internship and exchange opportunities. Overall, the MSc Data Science & Organisational Behaviour offers a rich blend of technical expertise and social understanding, preparing graduates to meet the challenges of the evolving digital and organizational landscape.