Computer Science And Engineering (Data Science)

Course Description

The Computer Science and Engineering (Data Science) course is a four-year undergraduate program that focuses on the design, development, and application of computational systems and algorithms to extract insights and knowledge from data. The course provides students with a comprehensive understanding of computer science and engineering principles, as well as specialized knowledge in data science and analytics.

Course Objectives

  1. To provide students with a solid foundation in computer science and engineering principles.
  2. To develop students' skills in data science and analytics, including data mining, machine learning, and data visualization.
  3. To equip students with the knowledge and skills to design, develop, and implement data-driven systems and applications.
  4. To prepare students for careers in data science, artificial intelligence, and related fields.

Career Opportunities

Graduates of the Computer Science and Engineering (Data Science) course can pursue careers in various fields, including:

Faculty Profile

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Key Skills

Career Prospects & Opportunities

  1. Programming Skills: Proficiency in programming languages such as Python, R, and SQL.
  2. Data Analysis and Visualization Skills: Ability to analyze and visualize data using tools like Tableau, Power BI, and D3.js.
  3. Machine Learning Skills: Knowledge of machine learning algorithms and techniques.
  4. Data Management Skills: Understanding of data management systems and data modelling.
  5. Problem-Solving Skills: Ability to analyse and solve complex data-driven problems.

The Computer Science and Engineering (Data Science) course provides students with a comprehensive understanding of computer science and engineering principles, as well as specialized knowledge in data science and analytics. The course structure and curriculum are designed to equip students with the knowledge and skills required to succeed in the data science industry.

Supporting Department

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