• Industry-powered specialization in Very-Large-Scale Integration (VLSI) Design, offered in partnership with BLR Labs, ensuring curriculum relevance and hands-on industrial exposure.
• Comprehensive course coverage including Analog & Digital Electronics, CMOS Design, HDL (Verilog/VHDL), Embedded Systems, Semiconductor Devices, and FPGA & ASIC Design.
• Extensive practical training using industry-standard tools such as Cadence, Synopsys, Xilinx Vivado, ModelSim, and Mentor Graphics.
• Dedicated modules and hands-on training in Semiconductor Manufacturing Technology, with a focus on fabrication processes, cleanroom protocols, and semiconductor failure analysis, enabling real-time industry-oriented practical exposure.
• Access to cutting-edge lab infrastructure in VLSI, IoT, Digital Design, and Communication Systems, fostering deep technical skills.
• Participation in real-world VLSI design projects guided by experts from BLR Labs and allied semiconductor industries.
• Emphasis on research and innovation through student-led projects, paper presentations, IP creation, and prototype development.
• Weekly expert lectures and workshops by professionals from organizations like Intel, Qualcomm, Texas Instruments, ARM, and NXP.
• Tailored career readiness and placement training in core electronics and semiconductor sectors.
• Encouragement for students to pursue IIT/NPTEL certifications, attend national/international technical boot camps, and chip design challenges.
• Exposure to international research collaborations and exchange programs for a global academic outlook.
• Dedicated clubs and forums for VLSI enthusiasts, including Electronics Society, Design Thinking Club, and Semiconductor Research Cell.
• Entrepreneurship development support via innovation incubators, faculty mentoring, and start up ideation workshops in core hardware technology.

B.Tech in Information Technology

After completing a B.Tech in Computer Science and Engineering (Data Science) course at GCU, you will be well-prepared for a variety of exciting and in-demand career paths. Here are some of the most trending career options in the field of data science:

Data Scientist/Analyst: Data scientists and analysts work with large datasets to extract insights, build predictive models, and make data-driven decisions. Companies like Microsoft, IBM, Infosys, Capgemini, TCS, Accenture, Wipro, and Mu Sigma often hire data scientists and analysts.

Machine Learning Engineer: Machine learning engineers develop and deploy machine learning models and algorithms to solve complex problems. Companies like Amazon, Google, Flipkart, Ola, Zomato, Swiggy, and Uber are known to recruit machine learning engineers.

Data Engineer: Data engineers build and maintain the infrastructure required for data storage, processing, and retrieval. They work with big data technologies and ensure data pipelines are efficient and scalable. Companies like Amazon Web Services (AWS), Microsoft, Oracle, SAP, and Tata Consultancy Services (TCS) often hire data engineers.

Business Intelligence (BI) Developer: BI developers design and develop interactive dashboards and reports to help businesses visualize and analyze data. Companies like Tableau, Microsoft, SAP, Oracle, and Qlik often recruit BI developers.

Data Architect: Data architects design the overall structure and integration of data systems within an organization. They ensure data quality, security, and efficient data flow. Companies like IBM, Oracle, Accenture, and Cognizant often hire data architects.

Data Consultant: Data consultants work with clients to understand their business requirements and provide data-driven solutions and strategies. Companies like Deloitte, PwC, KPMG, Ernst & Young, and McKinsey often recruit data consultants.

Research Scientist: Research scientists work on cutting-edge research projects related to machine learning, artificial intelligence, and data science. They contribute to advancements in the field and often work in academic institutions, research labs, or companies like IBM Research, Microsoft Research, and TCS Research.