Who is This Program For

This Honors program is designed for ambitious students seeking deep expertise in enterprise-scale data analytics. It is ideal for those who want to master the complete data lifecycle—from collection to interpretation—using advanced cloud-based tools. If you are a student looking for a program that offers industry-embedded certification and a focus on real-world application, this is for you. It attracts data-driven thinkers who want to gain a competitive edge by specializing in Google Cloud technologies and pursuing high-level roles in the global tech and business domains.

– Students seeking deep expertise in enterprise data analytics.

– Individuals aiming for Google Cloud-specialized certifications.

– Ambitious learners focused on real-world data application.

What You Learn

In collaboration with Google Cloud, students master the end-to-end data analytics workflow. The learning experience includes data collection, preprocessing, visualization, and interpretation using industry-leading tools like BigQuery and Looker. Students gain proficiency in statistical modeling, machine learning, and big data technologies. The program emphasizes scalable cloud-based data solutions, preparing students to tackle complex challenges across diverse industries. By the end of the course, learners are equipped with the technical and analytical skills needed to drive data-informed decisions in modern organizations, backed by globally recognized industry training.

– End-to-end data analytics workflow mastery.

– BigQuery, Looker Studio, and scalable cloud solutions.

– Statistical modeling and machine learning fundamentals.

Curriculum Snapshot

The curriculum integrates computer science fundamentals with intensive specialization credits in data analytics. Key modules cover scalable cloud architectures, data warehousing, and predictive modeling. The program features a curriculum co-designed with Google to ensure alignment with current industry standards. Students engage in practical projects that simulate real-world data challenges. This Honors degree is awarded based on the student’s base specialization (e.g., B.Tech-CSE-DS (Hons.)), providing a clear pathway to becoming a specialist in the data-driven economy through a unique blend of academic rigor and industry-embedded certification.

– Google-designed curriculum for Data Analytics.

– Specialization credits in Cloud-based Data Solutions.

– Integration with base CSE/DS/AIML specializations.

Career Outcomes

Graduates are exceptionally well-prepared for high-demand roles in tech and business domains. Typical career paths include Data Scientist, BI & Analytics Developer, and Cloud Data Analyst. Their expertise in Google Cloud tools makes them highly valuable as Cloud Data Architects and Engineers. Many graduates find success in sectors like e-commerce, finance, and healthcare, where data analytics is critical for operations and growth. The program’s focus on industry readiness often leads to Pre-Placement Offers (PPOs) and internships at top-tier IT firms, providing a strong launchpad for a successful career.

– Data Scientist and Business Intelligence Developer.

– Cloud Data Analyst, Architect, and Engineer.

– Statistician and Quantitative Analyst.

Industry & Practical Exposure

The program offers unprecedented industry exposure, featuring 350+ hours of on-campus training by Google Certified Trainers. Students have access to a Google-built lab environment for hands-on practical applications. The institute hosts Google-incorporated live projects and hackathons, providing a platform for students to showcase their skills to industry experts. This intensive exposure ensures that students are proficient in current technologies and professional workflows. Furthermore, the collaboration with Google often facilitates PPOs and high-quality internships, bridging the gap between academic learning and professional success in the data analytics field.

– 350+ hours of training by Google Certified Trainers.

– Google-built lab environment for practical learning.

– Live projects, hackathons, and PPO opportunities.

Eligibility, Duration, and Intake

Eligibility: 10+2 with 70% aggregate in PCM + JEE Main/GUJCET.

Duration: 4 Years.

Intake: Limited specialized seats within UIT.