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Python Developer | South Africa
Got a good opportunity to work as a Python Developer just after completing Intellipat’s Data Science Program. Successfully switched my career from Business Intelligence to Data Science domain.
BI Manager
Python Developer
ML Engineer
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SQL DBA
ML Engineer
Data Analyst | USA
I was from the non-tech domain, so everything was new at first. But Intellipaat taught me all the concepts in their Data Science course, which gave me the confidence to perform well in interviews and get a job as a Data Analyst.
Logistic Business Analyst
Data Analyst
Data Science Researcher | USA
Transitioned from Non-Tech to Data Science with a dream job in the US. Intellipaat course and great support helped me get this job with a salary hike of 100%.
Research Scholar
Data Science Researcher
Associate Software Engineer | India
Intellipaat has raised the bar of teaching and also helped me to crack the job. In a short period I got offers from 3 top MNCs. The course material and 24*7 is outstanding.
Fresher
Associate Software Engineer
Data Scientist | India
Thanks to Intellipaat, with skilled instructors and real-life exposure, I made a triumphant shift to Data Science. Their guidance led to a 200% salary hike, transforming my career journey.
Climate Reality Leader
Data Scientist
Data Scientist | India
As a fresh entrant, Intellipaat’s instructors provided crystal-clear guidance, addressing our queries in live sessions. Their support paved the way for my dream role as a Data Scientist, earning a remarkable 300% salary hike.
Data Analyst
Data Scientist
55% Average Salary Hike
45 LPA Highest Salary
12,000+ Career Transitions
3100+ Hiring Partners
Career Transition Handbook
DSTI’s M.Sc in Data Science and AI gives you practical experience with Python, machine learning, and advanced analytics so you can transform data into insights and accelerate your career.
When you graduate, you will earn a Master’s degree from DSTI – School of Engineering, France, recognised across Europe and valued by employers worldwide. It proves your expertise and opens doors to opportunities across global markets.
Kickstart your learning with essential foundations in programming, systems, and applied math—designed for learners from all backgrounds.
Build the analytical and statistical backbone for machine learning through applied mathematics, forecasting, SAS tools, and neural network models.
Develop the technical foundation to build and deploy scalable, production-grade data systems using modern tools, cloud services, and engineering principles.
Advance your capabilities in deep learning, high-dimensional statistics, NoSQL databases, and simulation—bridging theory with real-world data science scenarios.
Build the skills to manage data projects responsibly—combining agile frameworks with a critical understanding of data ethics, laws, and global impact.
Reinforce your academic foundation while gaining hands-on industry exposure through guided support and real-world application.
Programming & Scripting
Data Handling & Analysis
Statistical Thinking
Data Visual
Machine Learning Foundations
Model Evaluation & Tuning
Deep Learning
Natural Language Processing
Computer Vision
Cloud & MLOps
Project Workflows
Case Studies & Industry Projects
Select a Pokémon with "grass" as its primary type and "poison" as its secondary type, and analyze its speed. Build a machine learning model to predict whether a Pokémon is legendary or not based on various features.
Develop a machine learning model to forecast future stock prices based on historical market data. The project also includes analyzing trends using core ML algorithms.
Work with the Yelp dataset to build a multi-headed model that classifies various types of toxic comments, such as insults, threats, and obscene language. The model helps users detect and filter out harmful content.
Create a model to detect fraudulent transactions using AI-driven techniques like neural networks, random forests, and reinforcement learning. The focus is on identifying anomalies in imbalanced datasets.
Ana is a data platform engineer and educator, combining real-world experience in streaming, cloud, and pipelines with a passion for teaching graph databases and scalable systems in applied AI contexts.
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This certification program caters to working professionals across industries. The learner diversity adds richness to class discussions and interactions.
The application process for the M.Sc in Data Science & AI from DSTI-School of Engineering is straightforward and designed to help us understand your goals, background, and readiness for this program. Here’s how it works:
Yes. You don’t need a tech-heavy background to start. The course begins with core foundations in Python, statistics, and data handling, then moves into machine learning, neural networks, and model deployment through hands-on projects. It’s built to support a steady learning curve so you gain real skills without feeling overwhelmed.
Not at all. You will start with beginner-friendly training in Python and SQL, even if you have never written a line of code. The focus is on learning by doing. By the time you reach advanced topics like deep learning or model tuning, you will already have a strong foundation.
This is not just another online degree. It is a globally recognised Master’s from DSTI, France, worth 120 ECTS under RNCP Level 7.
The focus is on Data Science and AI. You will work across the machine learning pipeline from data cleaning, model building, tuning, deployment, to AI applications like natural language processing or computer vision. Python is the main language used, but the goal is not to make you a software engineer. It is to make you someone who can solve problems with data in the real world.
No. The 100% online pathway leads to the same RNCP Level 7 Master’s degree as the on-campus program. Your credentials are identical, recognised across Europe, and valued by employers worldwide. What matters is the skills you gain and the projects you deliver, and those are the same in both formats.
