B.Tech Computer Science and Engineering Application Form at UPES 2027

The B.Tech. Mathematics and Computing program at UPES School of Computer Science is a 4-year course designed to nurture professionals excelling in mathematics and computing, driving innovation in solving modern, technology-driven challenges.

This 4-year BTech Mathematics and Computing program consists of selected modules crafted with input from top academic and industry leaders. The coursework is designed to equip students with a strong foundation in mathematics and computing to address real-world, technology-driven problems, foster interdisciplinary learning and critical thinking for modeling, analysis, and design of robust systems in a modern context.

Students gain hands-on experience through regular training sessions conducted in UPES' state-of-the-art computer labs. The program also emphasizes industry exposure through mandatory internships in the industry or public sector, ensuring students develop practical expertise aligned with industry demands.

The BTech Mathematics and Computing program at UPES blends mathematical rigor with computational proficiency, preparing students to excel in research, technology, and industry.

Interested students must meet the following minimum eligibility criteria for B.Tech. in Mathematics and Computing:

Minimum 70% marks in class X and XII. Along with 70 % in PCM (Physics, Chemistry and Mathematics) in class XII

At UPES School of Computer Science, our B.Tech. Mathematics and Computing program is designed to meet industry demands, equipping students with expertise in mathematical modeling, computational techniques, and data analysis. This strong foundation of computing and mathematics degree prepares graduates for seamless integration into diverse fields, including finance, technology, artificial intelligence, and data science.

Our graduates have secured roles in top organizations, applying their skills in quantitative analysis, algorithmic trading, data science, and risk management. BTech Mathematics and Computing scope span across Quantitative Analyst (Quant), Quantitative Developer, Data Scientist/Analyst, Risk Analyst, Algorithmic Trader/Developer, and Financial Engineer. With a curriculum that blends theory with real-world applications, our students emerge as highly skilled professionals, ready to tackle complex challenges in data-driven industries.