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ABOUT THE DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING(DATA SCIENCE)
The Computer Science and Engineering(Data Science) department, established in 2023, serves as a pivotal resource hub for students enrolled in its programs. The Data Science teaches the students how to combine machine learning techniques, algorithms, tools, business acumen and mathematics and apply on raw data to extract insight information from it. In short, technology, algorithm development and data inference are blended together to solve complex problems analytically in Data Science.
The Computer Science and Engineering (Data Science) department focuses on interdisciplinary studies combining computer science, statistics, and analytics to extract knowledge and insights from data. This field is crucial in today's data-driven world, where the exponential growth of data necessitates specialized skills for accurate handling, efficient analysis, and effective visualization. Graduates from this department are well-equipped for careers as data scientists, analysts, and engineers.
CAREER OPPROTUNITIES:
Primary Career Roles
- Data Analyst: Analyzes data to identify trends, patterns, and insights that can be used to improve business performance.
- Data Scientist: Develops and implements data-driven solutions, often using machine learning techniques, to address complex business challenges.
- Machine Learning Engineer: Focuses on building and deploying machine learning models, often working closely with data scientists.
- Data Engineer: Designs, builds, and maintains the infrastructure for collecting, storing, and processing large datasets.
- Business Intelligence Analyst: Uses data to understand business performance and identify areas for improvement, often creating reports and visualizations.
- Data Architect: Designs and manages the overall structure and organization of an organization's data.
- Statistician: Applies statistical methods to analyze data and draw conclusions, often working in research or specialized fields.
Other Related Roles
- Database Administrator: Manages and maintains databases, ensuring data integrity and security.
- AI Engineer: Focuses on developing and implementing AI-powered solutions.
- Data Translator: Acts as a bridge between data scientists and other stakeholders, translating technical findings into actionable insights.
- Data Privacy Officer: Ensures data is handled responsibly and ethically, in compliance with regulations.
Major Recruiters
- Google (Alphabet): Focuses on AI, machine learning, search algorithms, and cloud computing (Google Cloud).
- Microsoft: Hires for roles across various divisions including Azure, Office 365, and Xbox, with a focus on AI, cloud computing, and business intelligence.
- Amazon and AWS: Seeks data scientists to improve recommendation systems, logistics, and AWS services, specializing in e-commerce and cloud computing.
- IBM: A global leader in AI and data science, hiring for projects like Watson AI, cloud computing, and business intelligence solutions.
- Oracle: A pioneer in IT services and data analytics, offering platforms for data scientists to work on cutting-edge projects.
- Apple: Hires data scientists to work on various projects.