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The Master of Science (MS) in Data Science and AI from The European Global Institute of Innovation & Technology (EU Global) is an innovative program tailored for professionals who want to excel in data-driven decision-making, artificial intelligence (AI), and machine learning. This prestigious degree equips students with the skills needed to thrive in influential AI roles across various industries, preparing them for leadership opportunities in the rapidly changing tech environment.
Accredited & Certified by
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Course PreviewLearning Format
Online
Program Duration
12-18 Months
Career Services
by Intellipaat
MS
by EU Global
EMI Starts
at ₹8,000/month*
3109
1493
24542
The MS in Data Science and AI at EU Global is a prestigious, research-focused master’s program that combines theoretical insights with practical applications. Aimed at aspiring data scientists, AI engineers, analysts, and decision-makers, this program provides a comprehensive understanding of data science, machine learning, AI, and big data technologies.
About EU Global
The EU Global Institute of Innovation & Technology (EU Global) stands as an institution devoted to education in areas of data science, AI, and other emerging technologies. With a strong emphasis on academic excellence and innovation, EU Global equips professionals to thrive in the rapidly changing AI landscape.
Key Features
About iHUB DivyaSampark, IIT Roorkee
iHUB DivyaSampark aims to enable innovative ecosystem in new age technologies like AI, ML, Drones, Robots, data analytics (often called CPS technologies) and becoming the source for the next generation of digital technologies, products and services by promoting, enhancing core competencies, capacity building, manpower training to provide solutions for national strategic sectors andRead More..
Key Achievements of IIT Roorkee:
Use AI models and machine learning algorithms to derive insights from complex datasets and inform business decisions.
Create, develop, and implement machine learning models to improve automation and predictive capabilities across various fields.
Engage in innovative research in artificial intelligence, crafting new algorithms and contributing to the evolution of AI technology.
Oversee and enhance large-scale data processing systems, ensuring effective storage, retrieval, and analysis of extensive datasets.
Apply data analytics tools and techniques to produce insights that assist organizations in boosting efficiency and profitability.
Manage the creation and rollout of AI-driven products and solutions, ensuring they align with business objectives and user requirements.
Deploy AI solutions on cloud platforms like AWS, Azure, and Google Cloud, focusing on performance and scalability optimization.
Focus on Natural Language Processing (NLP) to create chatbots, sentiment analysis tools, and other AI-driven language applications.
Offer strategic insights and recommendations to businesses by analyzing trends, predicting outcomes, and enhancing operations.
Build AI-powered vision systems for uses such as facial recognition, object detection, and medical image analysis.
Skills to Master
Machine Learning
Deep Learning
Big Data Analytics
Programming in Python and R
Cloud Computing for AI
Data Visualization
Reinforcement Learning
MLOps & Model Deployment
AI Ethics & Responsible AI
Explore the essential concepts of AI, including both supervised and unsupervised learning.
Engage in practical training with Hadoop, Spark, and cloud-based analytics tools.
Gain expertise in TensorFlow, PyTorch, and advanced techniques in AI.
Discover how to tell compelling stories through data using Tableau and Power BI.
Learn to deploy AI solutions on platforms like AWS, Azure, and Google Cloud.
Utilize AI models to enhance business processes and improve decision-making.
Create AI-driven applications by leveraging NLP techniques.
Collaborate on a real-world AI project under the guidance of industry mentors.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide very competitive finance options at 0% interest rate
Financing Partners
| Date | Time | Batch Type | |
|---|---|---|---|
| Program Induction | 26th April 2025 | 08:00 PM IST | Weekend (Sat-Sun) |
| Regular Classes | 26th April 2025 | 08:00 PM IST | Weekend (Sat-Sun) |
The program does not require prior coding experience, although it can be helpful. It offers foundational lessons in Python and R to assist beginners in getting started.
The MS in Data Science and AI spans 24 months, designed to provide a balance between coursework, hands-on projects, and thesis work.
The program fee covers tuition, course materials, lunches on immersion days, and any opening and closing dinners. It does not include travel, accommodation, and other incidentals. Participants will have to settle accommodation expenses and other incidentals before the end of the program.
Students must complete a research thesis that applies AI and data science concepts to address real-world business or technological challenges.
The program features a combination of live interactive sessions and recorded lectures, providing flexibility for working professionals.
Flexible payment plans are available, including no-cost EMI options, making the program financially accessible for students.
Yes, the program is structured to assist professionals in transitioning to AI-focused roles by equipping them with in-demand skills and relevant industry experience.
Career services include job placement assistance, resume building, mock interviews, and access to an exclusive job portal.
Yes, the degree from EU Global is accredited and recognized internationally, enabling graduates to pursue career opportunities around the globe.
AI professionals are in high demand in industries such as healthcare, finance, retail, manufacturing, and technology.
Absolutely, students will engage in real-world projects, case studies, and capstone projects in partnership with industry professionals.
Yes, the program is designed with flexibility in mind, making it suitable for working professionals who need to balance their studies with their jobs.
The curriculum includes Python, R, and SQL, which are crucial for applications in AI and data science.
EU Global provides both merit-based and need-based scholarships for eligible students.
Students will have complete access to the EU Global digital library, e-learning platform, and recorded sessions for lifelong learning.
The admission process consists of an online application, submission of necessary documents, and an interview with the admissions team.
Yes, students benefit from personalized career coaching to assist them with job applications, interviews, and strategies for career advancement.
Yes, EU Global has a refund policy that depends on the enrollment timeline and specific conditions.
Yes, the program welcomes students from around the globe, creating a rich and diverse learning environment.
Graduates enjoy lifetime career support, access to alumni networks, and ongoing learning opportunities to keep up with industry developments.
What is included in this course?
