B.Tech Data Anyaltics
Welcome to the heart of groundbreaking technological
education at Universal SkillTech University School of
Science, Engineering and Technology Skills. As a beacon of
innovation, this school is dedicated to nurturing future
leaders and problem solvers in the ever evolving realms of
science and engineering. Our programs are designed to
not only equip students with theoretical knowledge but also
provide hands on experiences, ensuring they are at the
forefront of technological advancements.
Under the guidance of distinguished faculty members who are experts in their respective fields, students within the School of Science, Engineering and Technology Skills embark on a journey of discovery and exploration. The state-of-the-art laboratories, research facilities and collaborative spaces create an immersive learning environment, fostering a culture of curiosity and innovation.
From Artificial Intelligence and Machine Learning to Cyber Security & Forensics, the School of Science, Engineering and Technology Skills is the launchpad for those ready to shape the future of technology
- Graduates can pursue careers as data analysts, leveraging statistical methods and data visualization tools for informed decision making.
- Opportunities in industries such as finance, marketing and healthcare for analyzing and interpreting complex data sets.
- The Specialisation prepares students for roles in big data analytics, predictive modeling and business intelligence.
- Graduates should be able to collect, clean, preprocess, and store various types of data from different sources, including structured and unstructured data.
- Students should possess a strong foundation in statistical methods and techniques, including descriptive statistics, inferential statistics, regression analysis, hypothesis testing, and probability theory. They should be able to apply statistical models to analyze and interpret data effectively.
- Graduates should have domain-specific knowledge in areas such as business, healthcare, finance, marketing, or social sciences, enabling them to apply data analytics techniques to real-world problems in diverse domains.