Data Science and Big Data Technology
  • 作者:
  • 编辑:陈子曦
  • 发布时间:2024-03-27
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Introduction

The Data Science and Big Data Technology program aims to foster comprehensive development in morality, intelligence, physical fitness, aesthetics, and labor skills. It equips students with foundational knowledge, theories, and technologies in data science. This includes mathematics, statistics, and computer science fundamentals relevant to big data applications, as well as data modeling, efficient analysis and processing, and basic theories, methods, and skills in statistical inference.


Students will also develop an understanding of big data in applied fields such as natural sciences and social sciences. They will possess strong professional competence and proficiency in using foreign languages. Graduates will become research-oriented or technical talents and be capable of conducting research on data analysis and mining algorithms and developing large-scale data systems.


Courses

Data Mining and Application, Big Data Visualization Technology and Application, Spark and Cluster Technology, Big Data Application Development Direction Core Courses: Big Data Real-Time Processing Technology, Spark In-Memory Computing and Application, Virtualization and Cloud Computing Technology.


Employment

Our graduates possess strong professional skills and have a wide range of employment opportunities. Prior to their internships, we provide pre-employment training for graduates. Experienced professional engineers from iFLYTEK personally lead the training, introducing various desensitized practical cases and AI experiment resources from different industries, ensuring a seamless connection between the training content and industry demands. Throughout the training process, engineers provide one-on-one guidance and supervision.


Before graduation, we offer services such as resume preparation and interview training for our students. Leveraging partnerships with thousands of companies in the iFLYTEK ecosystem, we provide qualified graduates with professional internships in companies related to their fields of study. We also recommend qualified graduates for professional positions in these companies, with starting salaries 30% higher than the industry average for similar roles. This enables us to truly achieve the goal of "the right person in the right position, the position suited to the person, fully utilizing their talents and abilities".