GD Goenka University

B.Tech in Data Science with Curriculum Aligned to NVIDIA Deep Learning Institute (DLI) at GD Goenka University

• The B.Tech in Data Science at GD Goenka University, with curriculum aligned to the NVIDIA Deep Learning Institute (DLI), is a cutting-edge undergraduate engineering program focused on data-driven decision-making, advanced analytics, machine learning, deep learning, and GPU-accelerated computing.
  
  
• The program is designed to equip students with strong statistical foundations, programming expertise, and hands-on experience in handling large-scale data and building intelligent data solutions for real-world applications.

Course Details

• Course Fee: ₹3,10,000 per year

• One-Time Enrollment Fee: ₹50,000

• Duration: 4 Years (8 Semesters)

• Eligibility: 10+2 with minimum 50% aggregate (PCM preferred)

Course (Year-Wise)

Career Scope

Graduates can pursue careers in:

• Data science & advanced analytics

• Machine learning & AI-driven systems

• Big data engineering & cloud analytics

• Business intelligence & data strategy

• Research & innovation labs

• Higher studies: M.Tech Data Science, MS (Data Analytics/AI), MBA Analytics

Job Profiles & Key Responsibilities

• Data Scientist: Analyze complex datasets & generate insights

• Machine Learning Engineer: Build predictive & recommendation models

• Data Analyst: Interpret data trends for business decisions

• Big Data Engineer: Manage large-scale data infrastructure

• AI/Data Research Associate: Support advanced analytics & research

• Business Intelligence Analyst: Develop dashboards & reporting systems

Career Sectors

• IT & Software Services

• Artificial Intelligence & Analytics Firms

• Banking, Finance & FinTech

• Healthcare & Bioinformatics

• E-commerce & Digital Platforms

• Smart Cities & IoT Analytics

• Research & Development Organizations

Why Choose B.Tech Data Science at GD Goenka University?

• Curriculum aligned with NVIDIA Deep Learning Institute (DLI)

• Hands-on exposure to GPU-accelerated analytics & deep learning tools

• Strong focus on real-world datasets, industry projects & internships

• Integration of AI, ML & Big Data technologies

• Excellent career prospects in high-growth data-driven industries