MSc (CS) Master of Science in Computer Science - Data Science & 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 60% 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.

EPITA's fostering academic excellence and inclusivity is reflected in its diverse range of scholarship opportunities, ensuring that talented and deserving international students have the support they need to pursue their education at the graduate school of computer science in France.

Excellence Scholarships: EPITA extends merit-based scholarships to exceptional international students with outstanding academic records. These scholarships recognize and reward academic excellence in computer science-related fields, covering a percentage of tuition fees.

Diversity Scholarships: Emphasizing diversity and inclusion, EPITA offers scholarships to students from diverse backgrounds, cultures, and regions. These scholarships aim to foster a multicultural learning environment and support individuals who contribute to diversity on campus.

Need-Based Scholarships: EPITA provides financial aid based on students' financial needs. These scholarships assist deserving candidates who demonstrate financial hardship, ensuring that talented individuals have access to quality education regardless of their economic circumstances.

Partner Institution Scholarships: EPITA collaborates with various partner institutions worldwide and offers scholarships to students recommended by these partners. These scholarships often include tuition fee waivers or discounts for students referred by EPITA's partner universities.

Government and External Scholarships: EPITA assists students in applying for government-funded scholarships from their respective home countries. Additionally, the school provides guidance on external scholarship opportunities offered by organizations and foundations to support international students' educational journeys.

EPITA’s Master of Science in Computer Science (MSc CS) specializing in Data Science & Analytics opens up diverse career opportunities in the burgeoning field of data-driven industries.

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging statistical analysis, machine learning, and data mining techniques to extract insights from complex datasets and drive data-driven decision-making processes.

2. Machine Learning Engineer: Opportunities exist for graduates to specialize in machine learning, developing algorithms and models that enable computers to learn and make predictions based on data, especially in fields like artificial intelligence and predictive analytics.

3. Data Analyst: Careers in data analysis involve interpreting data, generating reports, and identifying trends or patterns to aid businesses in making informed decisions. Graduates can work in various sectors, including finance, healthcare, marketing, and more.

4. Business Intelligence Analyst: Graduates can explore roles focused on business intelligence, analyzing data to provide insights that support strategic planning, operational improvements, and market analysis for organizations.

5. Data Engineer: Opportunities exist in data engineering, involving the design and maintenance of data infrastructure, data pipelines, and databases, ensuring efficient data processing and storage.

6. Big Data Architect: Graduates can specialize in designing and implementing large-scale data solutions, handling massive volumes of structured and unstructured data efficiently, and architecting robust data systems.

7. AI Research Scientist: For those inclined towards research, opportunities exist to contribute to the advancement of artificial intelligence by working on innovative projects and developing new algorithms and models.

8. Quantitative Analyst (Quant): Graduates can pursue roles in quantitative analysis, particularly in finance, utilizing statistical and mathematical models for financial risk assessment, algorithmic trading, and investment strategies.

9. Data Science Consultant: Graduates can work as consultants, providing expertise in data science methodologies, tools, and strategies to businesses seeking to leverage their data assets effectively.

10. Data Visualization Specialist: Careers in data visualization involve creating visually appealing representations of data to facilitate understanding and insights for various stakeholders within an organization.