Master of Science in Data Science
Paris Campus, France
Master of Science in Data Science
Schiller International University
Data Science
Program Overview: MS in Data Science
The Master of Science in Data Science at Schiller International University equips you with expertise in machine learning, big data analytics, and artificial intelligence. You will develop programming skills in Python and Power BI, work on real-world datasets, and build predictive models that drive business innovation.
This STEM-designated program merges business and technical expertise, preparing you for data-driven decision making and system management across industries such as finance, healthcare, sustainability, and cybersecurity. The curriculum emphasizes data visualization, statistical analysis, and ethical AI applications.
As a Schiller student, you benefit from the university's intercampus mobility program, allowing you to study across campuses in Tampa, Madrid, Paris, and Heidelberg. Graduates also qualify for up to 36 months of Optional Practical Training (OPT) in the United States, providing an extended pathway to professional experience.
Key Program Highlights
- STEM-designated program qualifying for up to 36 months of OPT work authorization in the United States
- Hands-on training with industry-standard tools including Python, R, SQL, Power BI, and Tableau
- Access to professional certifications from Microsoft, SAS, AWS, SAP, and Google Cloud
- Intercampus mobility across four global locations: Tampa, Madrid, Paris, and Heidelberg
Curriculum & Modules
The MS in Data Science curriculum is designed to bring together business and technical expertise through challenge-based learning. Courses cover databases, programming, machine learning, inference and optimization, statistics, quantification, and visual analytics, ensuring you graduate with a well-rounded and industry-relevant skill set.
Machine Learning for Business Analytics
3 US CreditsLearn to apply machine learning techniques to extract meaningful patterns and predictions from business data, covering supervised and unsupervised learning algorithms.
Big Data Analytics
3 US CreditsExplore cutting-edge technologies in cloud computing and big data analytics for building scalable data solutions that address complex organizational challenges.
Data Visualization and Communication
3 US CreditsDevelop expertise in presenting complex data visually for better understanding and decision-making using innovative tools like Power BI and Tableau.
Statistical Modeling and Inference
3 US CreditsMaster statistical modeling techniques including regression analysis, hypothesis testing, and optimization methods to draw meaningful insights from data.
Programming for Data Science
3 US CreditsBuild strong programming and information management skills using Python, R, and SQL to manipulate, analyze, and process large-scale datasets.
Capstone Project
3 US CreditsApply your accumulated knowledge to a real-world data science project, working with actual datasets to solve complex business problems and present actionable insights.
Elective Modules
Admission Requirements
Schiller International University follows a holistic admissions process, evaluating each applicant's academic background, motivation, and potential. The program accommodates varied backgrounds, including foundational support for those newer to programming or mathematics. To begin your application, reach out to Uni4Edu for personalized guidance.
Academic Requirements
- Academic QualificationBachelor's degree from a recognized university or equivalent
- Transcript EvaluationForeign transcripts must be evaluated by AACRAO, AICE, or NACES-recognized agencies
- GPA RequirementNo strict minimum GPA; holistic review of academic profile
- Standardized TestsGRE/GMAT not required
- Academic InterviewVirtual academic interview to discuss goals and program alignment
English Language Requirements
- TOEFL iBTMinimum score of 67
- IELTSMinimum overall score of 6.0
- Duolingo English TestMinimum score of 105
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
Schiller International University is committed to making global education accessible and offers merit- and need-based scholarships of up to 50% on tuition fees. Scholarships are awarded based on a student's profile, academic achievements, and potential. Contact Uni4Edu to explore your eligibility and available funding options.
Merit-Based Scholarship
Up to 50% of tuitionAwarded to students demonstrating strong academic achievement and leadership potential. Available across all Schiller campuses for qualified MS in Data Science applicants.
Seeds of Peace Scholarship
50% of tuitionA special scholarship offered at the Tampa campus to promote peace and support students from countries experiencing conflict. Eligibility and terms apply.
Need-Based Financial Aid
Varies based on individual assessmentFinancial assistance designed to reduce barriers for motivated students who demonstrate financial need. Contact Uni4Edu for details on eligibility and application procedures.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Data science is one of the fastest-growing fields globally, with strong demand for professionals who can analyze complex data and build predictive models. Schiller's Global Employability Path, combined with professional certifications from companies like AWS and Google, ensures you graduate ready for high-impact roles in technology, finance, healthcare, and beyond.
Potential Career Roles
Top Employers Hiring Data Science Graduates
Rankings & Recognition
Schiller International University is a private American institution founded in 1964, accredited by the Accrediting Commission of Career Schools and Colleges (ACCSC). While Schiller is a specialized, smaller institution focused on international education rather than large-scale research, it is recognized for its unique global campus model and career-focused programs across four countries.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | EduRank | #545 in USA |
| Engineering | EduRank | #407 in USA |
| Global Education Focus | ACCSC Accreditation | U.S. Accredited |
| Dual Degree Recognition | University of Roehampton Partnership | US & European Credentials |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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