

B.Tech CSE (Data Science) with Xebia & Microsoft at IILM University, Gurugram
- The B.Tech in Computer Science and Engineering with a specialization in Data Science, offered in collaboration with Xebia and Microsoft, is an elite industry-integrated program. It is designed to bridge the gap between academic theory and the rapidly evolving requirements of the global data industry.
- By partnering with Xebia (global IT consultancy) and Microsoft, the program ensures students master high-demand tools such as Azure Machine Learning, Power BI, and Big Data frameworks, while earning globally recognized industry badges alongside their degree.
B.Tech CSE (Data Science) – Course Details
Duration: 4 Years (8 Semesters)
University: IILM University, Gurugram
Industry Partners: Xebia & Microsoft
Eligibility:
Minimum 50% marks in 10+2 with Physics and Mathematics (45% for SC/ST).
Admission via JEE Main, CUET, or IILM Entrance Exam.
Course Fee (Per Year)
Tuition Fee: ₹3,00,000
B.Tech CSE (Data Science) – Course Structure
The curriculum is specialized from the early years, focusing on the data lifecycle—from ingestion and cleaning to advanced predictive modeling.
| Year | Core Computer Science | Data Science Specialization | Industry Specific (Xebia/Microsoft) |
|---|---|---|---|
| 1st Year | Python/C Programming, Math | Data Science Fundamentals | Microsoft Azure Cloud Fundamentals |
| 2nd Year | Data Structures, Java, OS | Statistics & Exploratory Data Analysis | Agile Methodologies by Xebia |
| 3rd Year | Design of Algorithms (DAA) | Machine Learning & Deep Learning | Microsoft Power BI & Big Data Labs |
| 4th Year | Software Engineering | AI & Natural Language Processing | Capstone Project & Industry Internship |
Career Scope after B.Tech CSE (Data Science)
Graduates are highly sought after by tech giants, consulting firms, and data-driven startups.
Job Profiles & Key Responsibilities
Data Scientist: Develop complex models to predict trends and solve business problems.
Data Analyst: Interpret complex datasets and create visual reports using Power BI/Tableau.
Machine Learning Engineer: Build and deploy self-learning algorithms into production.
Data Architect: Design the structure and security of large-scale database systems.
Big Data Engineer: Manage and optimize large-scale data processing systems like Hadoop/Spark.
Career Sectors
Global Tech: Microsoft, Google, Amazon, Meta.
Consulting: Xebia, Deloitte, KPMG, Accenture.
Finance & Banking: Goldman Sachs, JPMorgan, HSBC.
E-commerce: Flipkart, Amazon, Zomato.
Why Choose This Specialization at IILM Gurugram?
Xebia Partnership: Benefit from a curriculum co-designed by Xebia experts, focusing on "Digital Transformation" and "Agile" development.
Microsoft Certification: Integrated training path for Microsoft Certified Associate/Professional certifications (e.g., Azure Data Scientist).
Industry Mentorship: Direct interaction with data architects and engineers from Xebia through guest lectures and workshops.
Workplace Readiness: Exposure to real-world datasets and case studies, moving beyond standard textbook exercises.
Advanced Data Labs: State-of-the-art labs equipped with the latest software stack required for high-performance computing.
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