B.Sc. (Hons.) Mathematics By Research - Data Science (4 year)
The B.Sc. (Hons.) Mathematics by Research in Data Science program offered by UPES School of Advanced Engineering provides students with a comprehensive foundation in mathematical, statistical, and computational techniques essential for excelling in the field of Data Science. This specialized program aims to equip students with the skills needed to create analytical solutions, extract valuable insights from complex datasets, and effectively collaborate with domain experts for optimizing systems.
Throughout the program, students delve into various aspects of mathematics and statistics, including algebra and differential equations, which lay the groundwork for advanced analytical methods. They are exposed to cutting-edge technologies like Hadoop and Spark for handling big data, enabling them to tackle real-world challenges associated with large-scale data processing. The curriculum also covers multivariate statistics, empowering students to comprehend and analyze intricate relationships within data sets, and text analytics to extract meaningful information from textual data sources.
The unique blend of theoretical knowledge and practical skills fosters students' abilities to think critically, solve complex problems, and communicate effectively. By emphasizing the integration of mathematical principles with data science applications, the program ensures that graduates are well-prepared to address the evolving demands of the industry. The B.Sc. (Hons.) Mathematics by Research in Data Science program at UPES School of Advanced Engineering is tailored to produce graduates who possess not only a strong mathematical foundation but also a deep understanding of data science techniques, making them valuable assets in the rapidly expanding field of data-driven decision-making.
- Gain a strong foundation in both Mathematics and Data Science, equipping you with a comprehensive skill set for modern analytical challenges.
- The B.Sc. (Hons.) Mathematics by Research in Data Science program engages in project-based learning that promotes hands-on experience, enabling you to apply theoretical concepts to real-world data problems.
- Prepare for advanced academic pursuits with opportunities to pursue master’s and PhD studies in Mathematics and Data Science, fostering a future in research and academia.
- Benefit from dedicated placement support, facilitating smooth transitions into industry roles aligned with the growing demand for data-driven professionals.
- Receive specialized assistance to excel in competitive exams like JAM, enhancing your prospects for higher education and research opportunities.
- Develop a well-rounded skill set encompassing mathematical prowess, data manipulation, and analytical thinking, setting a strong foundation for success in the field of Data Science.
Future Scope / Industry Trends
The B.Sc. (Hons.) Mathematics by Research in Data Science program at UPES School of Advanced Engineering offers a promising future scope. As the demand for skilled professionals in machine learning, deep learning, and AI continues to rise, this program equips students to develop and implement advanced models to tackle intricate challenges. The program's focus on big data analysis is crucial, given the escalating availability of diverse datasets, enabling students to extract valuable insights efficiently. The wide-ranging applications of data science across sectors such as healthcare, finance, retail, transportation, and energy open up targeted career pathways, necessitating an understanding of sector-specific requirements and regulations. This program bridges the gap between mathematical expertise and practical data science skills, nurturing graduates for success in the evolving landscape of data-driven industries.
Graduates with a B.Sc. (Hons.) Mathematics by Research in Data Science from UPES School of Advanced Engineering are poised for a dynamic range of career opportunities. Equipped with advanced quantitative and analytical skills, they can seamlessly transition into roles as Data Scientists, harnessing their expertise to extract insights from complex datasets. Alternatively, they can thrive as Quantitative Analysts, leveraging their mathematical prowess to develop financial models. The program also nurtures adept Business Intelligence Analysts, Operation Research Analysts, and Research Associates who are integral in optimizing business strategies and decision-making processes. Graduates can also pursue avenues as Data Consultants, aiding companies in their data-driven endeavors, or venture into entrepreneurship, leveraging their skills to launch innovative startups. Moreover, opportunities as Software Developers await those who wish to craft tech solutions grounded in a strong mathematical foundation.
The B.Sc. (Hons.) Mathematics by Research in Data Science program at UPES School of Advanced Engineering offers exceptional placement opportunities for its graduates. With a curriculum designed to equip students with a solid foundation in both mathematics and data science, graduates are well-prepared to excel in the dynamic field of data analysis and interpretation. The program's emphasis on hands-on experience, industry-relevant projects, and practical training ensures that students are ready to tackle real-world challenges. As a result, graduates of this program have consistently secured placements in top-tier companies and organizations, spanning industries such as technology, finance, healthcare, and more. The program's strong industry connections and comprehensive skill set make it a gateway to promising career paths in the thriving realm of data science and analytics.
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Interested students must meet the minimum eligibility criteria for the B.Sc. (Hons.) Mathematics by Research in Data Science program as outlined below: Minimum 50% marks in Class X and XII (PCM/B).
Selection for individuals interested in enrolling in the B.Sc. (Hons.) Mathematics by Research in Data Science program, provided by UPES School of Advanced Engineering, relies on the performance of each candidate in Personal Interview.