Our intensive skill-oriented program provides students with practical training in constructing business models for analytics. The curriculum's interdisciplinary nature integrates elements from computer science, statistics, mathematics, and domain-specific areas where data science is applied. Additionally, our partnership with leading cybersecurity companies deepens students’ understanding of real-world industry challenges while also offering them the opportunity to earn sought-after cybersecurity certifications.
Data science subjects concentrate on analysis of data, visualization, predictive modeling, and analytics for data-driven decisions. Case studies are used to teach knowledge representation, machine learning, artificial intelligence, and deep learning. In industry-specific, custom-designed electives, students can study blockchain technology, quantum computing, data forensics, privacy, algorithmic trading, and data security. Also offered are minor specializations in business, finance, and healthcare analytics.
Fulfilling Career: Pursuing a course in Computer Engineering and Data Science provides a solid foundation for a dynamic and impactful career in technology, offering a combination of technical expertise, problem-solving skills, and the ability to navigate the ever-evolving landscape of information technology and data-driven decision-making.
Global Scope: Professional data scientists have opportunities to work on projects with global implications. The interdisciplinary approach of the stream allows professionals to work on a wide range of projects as data engineer, machine learning engineer, data analyst, data architect, data manager, business analyst, data modeler.
Computing, Computational Mathematics, Statistics, and Management are all entwined in Data Science. As part of data engineering, methods for data collection and storage and retrieval of enterprise data are designed.
There are many opportunities for advancement in data science in the future, which makes it a very good career choice. Data Scientist has been named "the most promising career" by LinkedIn due to its high demand, competitive salaries, and numerous perks.
A Bachelor of Technology in Data Science is an undergraduate degree program that teaches students how to extract relevant data from large volumes of data.
Several data engineering positions require coding skills, coding is a highly valued skill. A good understanding of a programming language, such as Python and SQL is required by many employers.
In addition to being good for structured data, SQL is easy to learn. However, when you want to build additional, complex data, you need to use Python.
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