Master
Supply Chain
Data Analytics
in 6 months
Be the one every supply chain needs
APPLICATIONS ARE OPEN
✔ Build a portfolio that proves your skills
✔ Save hours each week with automation
✔ Gain confidence and stand out in the job market
Competence → Proof → Confidence → Impact
Do you ever feel like...
You’d be more marketable for a job or promotion if you had stronger data analytics skills?
You spend hours stuck in Excel, bouncing between ChatGPT and the endless YouTube spiral, just to figure things out.
You’ve written SQL, Python, Power BI on your résumé… but secretly hope nobody asks you to prove it.
You’re still doing too many tasks manually and thinking: “There has to be a way to automate this and finally get my time back”
You’d feel more confident at work if you could consistently deliver data-driven decisions that actually move the needle.
You want to be recognized for your contributions and position yourself for better opportunities.
Now picture this…
Securing your dream job with data analytics skills that make you stand out.
Finally landing that raise or promotion you’ve been chasing for so long.
Saving hours of repetitive busywork every week, and gaining time for impactful projects and the life you love outside of work.
If this resonates with you, our program
Data Analytics for Supply Chain is for you
Take a look at what’s waiting inside
Learn to solve supply chain problems through data analytics, data science, and operations research. Discover what happened, why it happened, what’s next, and what to do about it. With Python, SQL, Power BI, generative AI, solvers, and simulations, you will turn data into practical solutions you can showcase.
Program Curriculum
Kick off with Python essentials: write code, work with NumPy arrays, Pandas dataframes, and build simple visuals with Matplotlib. Practice debugging with AI tools like ChatGPT, and connect SQL queries with Python to pull and manage data.
Work with data from SQL, Excel, and CSV files, clean it, and turn it into reports in Excel, Word, and PowerPoint. Analyze supply chain metrics like inventory turnover, stockouts, OTIF, demand variability, and customer/order trends. You’ll also apply text analytics with AI, practice data storytelling, and build dashboards in tools like Power BI and Streamlit to share insights.
Go beyond “what happened” to uncover why. Use correlation, regression, and causal inference to explain issues like stockouts, demand drops, and supplier performance. Apply machine learning methods like Random Forests, clustering, and anomaly detection to identify drivers of delays, cancellations, and bottlenecks.
Move from explaining the past to anticipating the future. Build regression and classification models to forecast demand, predict lead times, and assess supplier risk. Apply time-series forecasting with ARIMA, SARIMA, and tools like Prophet to tackle intermittent demand, evaluate forecast accuracy, and combine models for more reliable business decisions.
Test decisions before making them. Run Monte Carlo and discrete-event simulations in Python to model risks, bottlenecks, and “what-if” scenarios for inventory, logistics, and production. Work with probability distributions, Markov chains, and scenario planning (best, worst, likely cases), and explore digital twins to evaluate policies and prepare for disruptions.
Learn how to design and optimize supply chain networks and decisions with Python. You’ll work on problems like where to place facilities, how much to stock, how to balance production lines, and how to route deliveries — using both heuristics and optimization (LP, MILP, metaheuristics). The module also covers uncertainty (newsvendor, stochastic programming), multi-objective trade-offs, and decision tools like AHP, giving you a toolkit to balance cost, service, and resilience.
Presenting Results to Stakeholders and the CEO – Learn how to adapt your message so your insights influence decisions at every level.
Preparing for Promotions in Fast-Paced Companies – See what managers look for and how to position yourself for growth.
Mastering the Job Interview Process – Get practical strategies to stand out and present your skills with confidence.
Building a LinkedIn Profile and CV That Open Doors – Show your impact clearly and create opportunities for your next career move.
Apply here to the Fall Cohort
Why shiny Data Analytics skills matter in Supply Chain
🌠 Employment of logisticians will grow 17% from 2024–2034, adding 26,400 jobs each year (U.S. Bureau of Labor Statistics, 2024).
🌠 Employers rank AI & Big Data (94%), Technological Literacy (77%), and Analytical Thinking (70%) as the top core skills for 2025 (World Economic Forum, Future of Jobs Report 2025).
🌠 Simulation–optimization frameworks reduce inventory by 10–35%, saving companies hundreds of millions (Jin et al. 2025).
🌠 89% of companies have increased analytics investment, but 52% struggle to find people with the skills to make it work (SupplyChainBrain, Feb 2025)
🌠 Data analytics skills are transferable beyond supply chain, to finance, healthcare, consulting, etc.
🌠 Average base salary for a U.S. Supply Chain Analyst in 2025 is $69,364, with mid-level roles reaching $89K–$136K and senior roles ranging $124K–$184K (Coursera, 2025).
🌠 The supply chain analytics market will grow from $11.1B in 2025 to $32.7B by 2032 (Fortune Business Insights, 2024).
🌠 90% of supply chain leaders say their company lacks sufficient digital talent to meet digitization goals (McKinsey Global Survey, Jan 2024).
🌠 Python is the language of AI and analytics. In 2025, 45.7% of recruiters list Python as the most in-demand language across industries (Statista/iTransition, 2025).
🌟🌟🌟
You become the missing piece employers desperately need, equipped with analytics, AI, and operations research skills that fill the biggest gaps in today’s supply chains
🌟🌟🌟
Roles you’ll be ready for after this program
Data roles in supply chain are booming.
Now employers expect more than Excel. They want advanced data skills, and this program gives you the ones that make you shine.
SQL
Python
Dashboards (Power BI)
Report automation
Data storytelling
AI and Generative AI
Machine learning for forecasting
Statistical analysis and econometrics
Simulation and optimization methods
These are the skills that make you shine in today’s job market
The Founders
Stephania Kossman and Luis Fernando Pérez are researchers and educators driven by one principle: science-backed learning that creates real change. Luis holds a PhD in Operations Research and Stephania in Mechanics of Materials. Together, they equip professionals to solve problems with clarity and precision.
Our Mission
We build confidence through competence. By training supply chain professionals in analytics and decision intelligence, we empower them to transform their lives, their work, and their careers, turning that growth into impact in the world.
Our Focus
Competence builds proof. Proof builds confidence. Confidence creates impact. This is the journey every learner takes with us.
How Learning With Us Works
Methodology → Learn by doing, using research-backed methods that drive real learning. Through supply chain case studies, simulations, AI tutors, and applied projects, theory becomes skills you can use on the job. We guide you step by step beyond the basics into Python, optimization, simulation, and machine learning so you can confidently solve complex problems.
Outcomes → Leave with a portfolio that proves you can solve real operations problems, a sharper mindset for tackling challenges, and the confidence of someone trained at a master’s level and ready for industry.
Support + Community → You won’t learn alone. Grow with motivated peers, get personalized feedback from experts, and benefit from close guidance on both your projects and your career steps.
Frequently Asked Questions
We keep cohorts small so every participant gets close support and real results. That’s why we ask you to complete a short application form.
The form helps us understand your background, goals, and motivation — and make sure the program is the right fit for you. If you’re truly ready to grow, you’ll shine in the process.
SCAP is for ambitious supply chain, operations, and logistics professionals who work with data daily but know there’s a smarter way to do it.
You might…
Spend hours in Excel (cleaning sheets, pivot tables, VLOOKUPs).
Pull data from different systems and struggle to stitch it together.
Run SQL queries (or dabble with them).
Have tried Power BI or want to get started with dashboards.
Remember taking a Python class once… but not how to use it at work.
Want to take your next career step but need guidance to get there.
Want to use Gen AI beyond writing emails.
Aim for higher salaries in data-driven supply chain roles.
No. We guide you step by step, even if you’ve never used Python before. You’ll learn Python as a tool for analytics and optimization in supply chain — no heavy coding background required.
And we don’t stop at Python. We also show you how to use Gen AI to make your learning journey faster and easier.
Problem-first learning → Start with real supply chain challenges connecting step-by-step to the the tools and concepts that you need.
Depth → Beyond dashboards and basic analytics: Automation, ML, optimization, simulation, solvers.
Research-backed learning methods → Lessons designed with behavioral science so complex skills stick.
Built by experts → Taught by researchers in operations research and analytics, who turn PhD and master’s-level knowledge into practical skills.
Real outcomes → A portfolio that proves you can solve supply chain problems with advanced analytics + confidence.
Human support → Small groups, fast feedback, close guidance on both projects and career steps
Designed for 6 months.
Lifetime access to all video materials.
Bi-weekly live Q&A sessions for 6 months + weekday support.
Expect 4–8 hours/week, depending on the module.
Yes, this makes it realistic for working professionals.
If your work involves demand, inventory, forecasting, process optimization, or data-driven decisions, this program applies. Our tools and strategies adapt across industries and contexts.
Not sure about your case? Reach out — we’ll help you see how it fits your field.
Bi-weekly live Q&A to get clarity.
Private peer community to share and learn together.
Direct instructor feedback on projects (no frustrating peer-only reviews).
We offer a 30-day money-back guarantee. Try it risk-free — if it’s not the right fit, email us at hello@savilaeducation.com for a full refund.
Both. If you’re new (≥1 year of supply chain experience), you’ll build a strong data foundation. If you’re experienced, you’ll sharpen your analytics skills and stand out with advanced problem-solving.
The only requirements: you want a change in your career, you work with data (or want to) and you are ambitious.
Yes and more. You’ll get a certificate of completion, but also a portfolio of real projects that proves you can solve supply chain challenges with Python, data science, and operations research. This portfolio is your real differentiator.
AI is a great assistant (that we will use in the program), but it only works as well as the instructions you give it. Understanding Python lets you:
Guide AI tools more precisely.
Troubleshoot issues.
Adapt AI-generated code to real supply chain problems.
In short: Gen AI helps, but Python + your expertise ensures the solution works.
The program costs $2,999 USD.
✨ Good news: we offer flexible payment plans to make it easier. Just reach out at hello@savilaeducation.com
Applications Open Fall Cohort
Data Analytics for Supply Chain
6-month cohort-based program.
Launch price $ 2999 (check FAQ for more info)
30 seats available.
From busywork to problem-solving. From competence to confidence.
Learn and apply data analytics, data science, operations research directly to real supply chain and operations challenges.
🗓️ Start: November 2025
⏳ Duration: 6 months (apply skills from Week 1)
📍 Format: 100% Online + bi-weekly Live Q&A Sessions
💼 Outcome: Portfolio-ready projects applied to supply chain (even from your own job) + problem-solving mindset
🤝 Support: Close community + career coaching + direct feedback from instructors
💡 Method: Science-backed, hands-on learning (short videos, simulations, games, AI tutors, case studies)
🔍 Focus: Your journey with us: Build proof → confidence → career growth + impact
🤖 Tools: Python and AI (main tools) with integrations to Excel, SQL, and Power BI.
🎓 No tech background required
💸 Risk-free: 30-day money-back guarantee
Apply Now to the Fall Cohort
679, avenue de la République, 59800 Lille, France
email: hello@savilaeducation.com