MSc Data Analytics for Business (Short Track)

KEDGE Business School's MSc in Data Analytics for Business (Short Track) is a specialized program designed to equip students with the knowledge and skills required to harness data for strategic decision-making in a condensed study period.

Curriculum: The program's curriculum covers a diverse range of subjects critical for professionals aiming to leverage data analytics in business contexts. Core courses encompass areas such as data mining, predictive analytics, machine learning, data visualization, big data analytics, and business intelligence. The curriculum emphasizes hands-on learning through case studies, projects, and practical applications, ensuring students gain proficiency in data analytics tools and techniques.

Research Focus: KEDGE Business School integrates a research-oriented approach within the MSc in Data Analytics for Business program. Students are encouraged to engage in research projects exploring innovative applications, emerging trends, and advanced methodologies in data analytics. The curriculum emphasizes research methodologies, enabling students to analyze complex datasets and contribute to the evolution of data-driven decision-making.

Industry Engagement: The school actively collaborates with industry partners to provide students with practical experiences and exposure to real-world data analytics scenarios. Internships, workshops, and seminars conducted by industry experts offer insights into the practical application of data analytics in diverse business settings. These engagements enable students to apply theoretical knowledge and gain hands-on experience, fostering their professional growth and networks within the data analytics field.

Global Perspective: Recognizing the global relevance of data analytics in business, the MSc in Data Analytics for Business (Short Track) at KEDGE Business School emphasizes a global outlook. The program integrates cross-cultural perspectives, international case studies, and global best practices in data-driven decision-making. A diverse student body, international faculty, and exchange programs facilitate exposure to different business contexts, preparing students for global careers in data analytics.

Postgraduate Entry Requirements

Academic Qualification: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 50% or higher in the previous academic degree.

English Language Proficiency:

• IELTS Scores: For postgraduate studies, the required overall band score may range from 6.0 to 6.5, with minimum band scores of 5.5.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

KEDGE Business School offers various scholarship opportunities to support and encourage talented international students pursuing their education at the institution. These scholarships aim to alleviate financial burdens and recognize academic excellence, diversity, and exceptional achievements among international applicants.

1. Merit-Based Scholarships: These scholarships are awarded based on academic excellence, taking into account the applicant's academic performance, achievements, and potential contributions to the academic community.
2. Diversity Scholarships: KEDGE values diversity and offers scholarships to students from diverse backgrounds, cultures, and nationalities, promoting inclusivity within its student body.
3. Need-Based Scholarships: Financial aid is provided to eligible students based on demonstrated financial need, ensuring that deserving candidates have access to quality education regardless of their financial situation.
4. Country-Specific Scholarships: KEDGE may offer scholarships targeted at students from specific countries or regions, aiming to attract talented individuals from various parts of the world.
5. Program-Specific Scholarships: Some scholarships are tailored to specific programs or fields of study, encouraging students to pursue particular disciplines where there is a demand for skilled professionals.

Graduates from KEDGE Business School's MSc in Data Analytics for Business (Short Track) possess specialized skills that open doors to a multitude of promising career opportunities in the field of data analytics within various industries.

Data Analyst: Professionals with expertise in data analytics can work as data analysts. They collect, interpret, and analyze data to extract valuable insights that aid in informed decision-making.

Business Intelligence Analyst: Graduates knowledgeable in business intelligence tools can pursue roles as business intelligence analysts. They develop dashboards, reports, and data visualizations to support strategic business decisions.

Data Scientist: Professionals skilled in machine learning and predictive analytics can work as data scientists. They build and deploy predictive models to forecast trends and patterns for business optimization.

Marketing Analyst: Graduates can pursue roles as marketing analysts. They analyze consumer data to derive marketing strategies, assess campaign performance, and optimize marketing efforts.

Financial Analyst (Analytics Focus): Professionals with a focus on analytics can work as financial analysts. They analyze financial data to identify trends, assess investment opportunities, and support financial decision-making.

Supply Chain Analyst: Professionals interested in logistics and supply chain management can work as supply chain analysts. They analyze data to optimize supply chain operations, inventory management, and logistics efficiency.

Risk Analyst: Graduates skilled in data analytics can explore roles as risk analysts. They analyze data to assess and mitigate risks across various business functions such as finance, operations, and compliance.

Consultant (Data Analytics): Professionals knowledgeable in data analytics can work as consultants. They offer advisory services to organizations on data-driven strategies, implementation of analytics solutions, and optimization of business processes.