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SCHOOL OF Engineering & Technology
The School of Engineering & Technology at Starex University is committed to delivering excellence in technology education, research, and collaborative innovation. Driven by a vision to shape competent tech leaders for a rapidly changing digital landscape, our mission focuses on blending core theoretical concepts with extensive hands-on experimentation. The school’s core academic strength lies in a comprehensive curriculum designed alongside veteran industry experts, ensuring that coursework directly matches current corporate standards.
Our achievements include a growing portfolio of research publications, academic awards, and high student placement rates in leading software houses. Key differentiators include robust industry collaborations, notably with global giants like IBM/Samatrix/Microsoft/IIT Mandi for specialized value-added programs, which give our students a distinct competitive edge. The school boasts modern infrastructure with high-speed Wi-Fi, specialized programming laboratories, advanced computing setups, and interactive digital classrooms. By emphasizing experiential learning through regular hackathons, tech workshops, and real-world project portfolios, we bridge the gap between classroom teaching and industry expectations. Through dedicated placement support, rigorous technical boot camps, and personalized faculty mentorship, the School of Computer Science and Engineering remains a premier destination for students aiming to build impactful careers in software engineering, artificial intelligence, data science, and cloud technologies.
They design, code, and maintain software applications or mobile apps from scratch using programming languages like Java, Python, and C++.
They specialize in building the user-facing side of a website, ensuring a seamless and visually appealing user interface using HTML, CSS, and JavaScript frameworks.
They manage the server-side logic, databases, and application interfaces that operate securely in the background to power web systems.
These are versatile engineers trained to handle both front-end and back-end architectures, allowing them to build complete web applications independently.
They evaluate newly developed software against business requirements using manual testing or automation tools to ensure it is free from defects.
They analyze the source code deeply to isolate, identify, and fix bugs flagged by testers, ensuring smooth and uninterrupted application performance.
They apply advanced statistical models, machine learning algorithms, and predictive modeling to massive datasets to help companies forecast trends and make strategic decisions.
They examine historical data to clean it and translate complex numbers into actionable business insights using visual dashboards like SQL, Tableau, and Excel.
| Name of the Programme | Duration | Eligibility Criteria |
|---|---|---|
| B.Tech. CSE | 4 Year |
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| B.Tech. CSE AIML | 4 Year |
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Strategic industry associations, such as our collaboration with IBM, integrate specialized industry curricula, software tools, and direct professional insights right into the students' academic journey.
A vibrant research ecosystem that encourages undergraduate and postgraduate research, active participation in national tech challenges, and peer-reviewed journal publications in areas like machine learning and sentiment analysis.
Equipped with state-of-the-art computational labs featuring high-performance desktops, modern version control environments, database management setups, and dedicated spaces for AI and programming development.
A dedicated Training and Placement Cell Provides rigorous pre-placement training, resume building workshops, soft-skills grooming, and campus placement drives with top-tier technology firms.
Curriculum integrated with relevant professional certificates, open-source workshops, and specialized boot camps (such as Python and GitHub training) to make students day-one industry-ready.
Students regularly secure top positions in regional hackathons, complete corporate internships at premier tech companies, and earn merit certificates in recognized national assessment platforms.
| Name | Designation | Specialization | Qualification |
|---|---|---|---|
| Dr. Ritu | Assistant Professor (HoD) | Artificial Intelligence & Machine Learning | Ph.D. in Computer Science & Engineering |
| Dr. Ankit Kumar | Associate Professor | Ph.D. in Computer Science | |
| Mr. Rajesh Yadav | Assistant Professor | Software Engineering | Ph.D. Pursuing |
| Mr. Akhil Kumar | Assistant Professor | Java & Python Programming, Database Management System | M.Tech. |
| Ms. Munesh Yadaav | Assistant Professor | M.Tech. | |
| Mr. Parveen Kumar | Assistant Professor | M.Tech. | |
| Ms. Arshjot Kaur | Assistant Professor | M.Tech. | |
| Mr. Dilip Kumar | Teaching Associate | M.Tech. Pursuing |