School of Computational Sciences & Mathematics
About School of Computational Sciences & Mathematics
Experience the transformative potential of Computational Science at our esteemed School! With a strong commitment to academic excellence, cutting-edge infrastructure, meaningful industry interaction, and a supportive community, our School is dedicated to preparing students for success in the ever-evolving digital landscape.
At our university, we boast a distinguished faculty comprising experts in their respective fields. Their wealth of knowledge and experience, combined with their passion for teaching, ensures that students receive a top-notch education. Additionally, our state-of-the-art labs equipped with the latest technology and resources provide students with hands-on experience and a conducive environment for experimentation and exploration.
We understand the importance of industry partnerships in bridging the gap between academia and the professional world. Through collaborations with leading companies and organizations, we offer students invaluable opportunities for internships, projects, and mentorship, enabling them to gain real-world insights and develop practical skills.
Furthermore, our School fosters a personalized and supportive learning environment. We prioritize individual attention, encouraging students to thrive and reach their full potential. Whether it's through dedicated academic support, mentorship programs, or extracurricular activities, we aim to nurture well-rounded individuals who can excel in their chosen fields.
Graduates from our School emerge with a versatile skill set that equips them to tackle complex challenges in various domains. From data science and artificial intelligence to bioinformatics and computational modelling, our curriculum encompasses diverse areas of computational science, preparing students for impactful careers at the forefront of technological innovation.
Embark on an exhilarating journey of discovery and innovation at the School of Computational Science. Unleash your potential and unlock the power of computational science to shape the future. Join our vibrant community of learners, researchers, and industry professionals as we strive for excellence and push the boundaries of knowledge in the world of computational sciences.
As the Director of the School of Computational Sciences at JSPM University, I welcome you to our institution. We offer a diverse range of courses in the field of computational sciences, providing students with the knowledge and skills needed in today's digital era.
Our undergraduate programs include B.Tech in Computer Science and Engineering, Data Science, Information Security, and Artificial Intelligence and Machine Learning. These programs cover fundamental concepts and practical applications, preparing graduates for industry challenges.
At the postgraduate level, we offer M.Tech programs in Computer Science and Engineering, Information Technology, and Artificial Intelligence and Data Science, allowing students to specialize in their areas of interest.
Our Ph. D. program provides a platform for aspiring researchers to contribute to advancements in the field of computer science and engineering.
We believe in a holistic approach to education, emphasizing practical learning through projects, industry collaborations, and internships. Our esteemed faculty brings industry experience to the classroom, ensuring a well-rounded education.
Graduates of the School of Computational Sciences have vast career opportunities in digital technologies, data analytics, artificial intelligence, and cybersecurity. Our strong industry connections and placement cell facilitate internships and successful placements.
We foster an environment that encourages innovation, critical thinking, and problem-solving. Join us at the School of Computational Sciences and embark on a journey of knowledge and growth.
Together, let us shape the future of computational sciences and make a positive impact on the world.
Director- School of Computational Sciences & Mathematics
- Data Scientist: Opportunities in data analysis, machine learning, and predictive modelling for industries such as finance, healthcare, e-commerce, and technology companies.
- Software Developer: Career prospects in software development and programming, specializing in AI, ML, DL, and DS applications across various industries.
- Machine Learning Engineer: Positions in developing and implementing machine learning algorithms and models to solve complex problems in industries like healthcare, finance, e-commerce, and autonomous systems.
- Quantitative Analyst: Roles in quantitative analysis, risk assessment, and modelling for industries such as finance, investment banking, insurance, and data-driven organizations.
- Research Scientist: Opportunities in conducting research and development in AI, ML, DL, and DS applications, collaborating with industries such as academia, pharmaceuticals, biotechnology, and research institutions.
- Business Analyst: Career prospects in analyzing business processes, market trends, and customer data to provide insights and drive decision-making in industries including consulting firms, finance, marketing, and supply chain management.
- Data Engineer: Positions in designing, building, and managing data infrastructure and platforms for industries such as technology companies, e-commerce, and data-driven organizations.
- Operations Research Analyst: Roles in optimizing complex systems, logistics, and supply chain processes using AI, ML, DL, and DS techniques for industries like transportation, manufacturing, and retail.
- Statistician: Opportunities in statistical analysis, modeling, and experimental design for industries such as healthcare, finance, market research, and government agencies.
- Financial Analyst: Career prospects in financial analysis, investment evaluation, and risk management, utilizing AI, ML, DL, and DS methods for industries including finance, banking, investment firms, and consulting.
These opportunities in AI, ML, DL, and DS within the School of Computational Science and Mathematics Engineering enable students to work at the forefront of technology and contribute to various industries by leveraging data-driven insights, developing intelligent systems, and solving complex problems.
The School of Computational Science prides itself on offering unique features that provide students with a remarkable educational experience:
- High-Performance Computer Systems: Our school boasts state-of-the-art, high-performance computer systems. Equipped with cutting-edge hardware and software, these systems empower students to tackle computationally intensive tasks and work with large datasets, enabling them to explore and implement advanced computational techniques effectively.
- Vibrant Student Clubs: We have vibrant student clubs such as ACES (Association of Computational and Experimental Sciences), GDSC (Google Developer Student Club), and the Coders Club. These clubs provide platforms for students to actively engage, collaborate, and learn from their peers. They organize workshops, coding competitions, and knowledge-sharing sessions, fostering a culture of innovation and growth among students.
- Industry-Focused Training and Practical Exposure: Our curriculum is designed to provide industry-focused training and practical exposure. We incorporate real-world case studies, industry-relevant projects, and guest lectures by industry experts, ensuring that students develop the necessary skills and knowledge demanded by the job market.
- Insightful Industry Visits: To offer students firsthand experience of the industry, we organize insightful industry visits. These visits provide an opportunity to interact with professionals, witness real-world applications of computational science, and gain valuable insights into industry practices and trends.
- Lucrative Internship Opportunities: We facilitate lucrative internship opportunities for our students, often accompanied by stipends. These internships allow students to apply their theoretical knowledge in practical settings, gain industry experience, and build professional networks that can benefit their future careers.
- Student Chapters: We have student chapters affiliated with prestigious organizations such as CSI (Computer Society of India) and NPTEL (National Programme on Technology Enhanced Learning). These chapters provide additional avenues for knowledge enhancement through webinars, seminars, workshops, and certification programs.
- Projects Exhibitions and Expert Evaluations: We organize projects exhibitions where students can showcase their innovative projects. These exhibitions provide a platform for students to present their work to a panel of experts who evaluate and provide valuable feedback, fostering a culture of continuous improvement and excellence.
These unique features of the School of Computational Science create an immersive and enriching learning environment, equipping students with the skills, practical exposure, and industry insights they need to thrive in the dynamic field of computational sciences.
- Computer Science and Engineering
- Artificial Intelligence and Data Science
- Cloud Computing
- Block Chain Technologies