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数据科学与大数据技术
专业介绍
随着信息技术的快速发展，大数据已经成为当今社会的重要组成部分。本专业培养具有扎实的数理基础、计算机技术和数据科学理论知识，掌握大数据的采集、处理、存储和分析技术，并能够应用所学知识解决实际问题的专业人才。学生通过学习数据科学导论、统计学、计算机程序设计、数据采集技术、数据库系统、机器学习、深度学习技术、推荐系统、时序数据分析、自然语言处理、数据可视化等课程，全面了解和掌握数据科学与大数据分析的基本理论和实践技能。
除了理论学习，本专业还注重实践能力的培养。学生将通过实践课程、项目实践、毕业设计等环节，提高他们的数据处理和分析能力、大数据技术和工具的应用能力，以及解决实际问题的能力。本专业的毕业生可以在各个领域从事数据科学与大数据分析工作，可以从互联网、金融、医疗健康、政府机构、科研等行业从事数据科学研究、算法开发、教学等工作。本专业还注重培养学生的创新精神和团队协作能力，提高学生的综合素质。此外，本专业还与多个企业合作，开展实践教学和实习基地建设，提供更多的实践机会和实践经验，为学生的职业发展打下坚实的基础。
主要课程
高等数学、线性代数、概率论与数理统计、操作系统、数据结构、计算机网络、计算机组成、数据库原理、数据采集与集成技术、人工智能原理与技术、分布式系统架构技术、知识图谱、图像处理与分析基础、神经网络与深度学习、NoSQL数据库技术、统计分析技术、推荐系统、Spark与集群技术、项目管理与过程改进、自然语言处理与信息检索技术、大数据可视化技术、时序数据分析基础等。
就业方向
本专业毕业生可以在互联网+、智能制造、金融科技、政府机关、教育部门、科研院所等行业或部门，从事数据管理与维护、大数据建模与可视化、大数据算法与实现、数据挖掘与分析、大数据软件设计与开发、人工智能应用技术、软件项目管理等方面的工作，也可以在大专院校从事相关专业的教学和科研工作，或继续攻读硕士学位。
Data Science and Big Data Technology
Major Introduction
With the rapid development of information technology, big data has become an essential component of contemporary society. This program aims to cultivate professionals with a solid foundation in mathematics, computer technology, and data science theory. Students will master the techniques for collecting, processing, storing, and analyzing big data, enabling them to apply their knowledge to solve real-world problems. Through courses such as Introduction to Data Science, Statistics, Computer Programming, Data Collection Techniques, Database Systems, Machine Learning, Deep Learning Technologies, Recommendation Systems, Time Series Data Analysis, Natural Language Processing, and Data Visualization, students will gain a comprehensive understanding of the fundamental theories and practical skills in data science and big data analysis.
In addition to theoretical learning, this program emphasizes the development of practical skills. Students will enhance their data processing and analysis capabilities, as well as their ability to apply big data technologies and tools through practical courses, project work, and graduation design. Graduates of this program can engage in data science and big data analysis across various fields, including internet, finance, healthcare, government agencies, and research, undertaking roles in data science research, algorithm development, and teaching. The program also focuses on fostering students' innovative spirit and teamwork skills, thereby improving their overall quality. Furthermore, the program collaborates with multiple enterprises to conduct practical teaching and establish internship bases, providing more opportunities and experiences for students' career development, laying a solid foundation for their future endeavors.
Core Courses
Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics, Operating Systems, Data Structures, Computer Networks, Computer Organization, Database Principles, Data Acquisition and Integration Technologies, Principles and Technologies of Artificial Intelligence, Distributed System Architecture Technologies, Knowledge Graphs, Fundamentals of Image Processing and Analysis, Neural Networks and Deep Learning, NoSQL Database Technologies, Statistical Analysis Techniques, Recommendation Systems, Spark and Cluster Technologies, Project Management and Process Improvement, Natural Language Processing and Information Retrieval Technologies, Fundamentals of Big Data Visualization, and Time Series Data Analysis.
Career Prospects
Graduates from this program can work in various sectors such as Internet+, Intelligent Manufacturing, FinTech, Government Agencies, Educational Institutions, and Research Institutes. They may engage in data management and maintenance, big data modeling and visualization, big data algorithms and implementation, data mining and analysis, big data software design and development, applications of artificial intelligence, and software project management. Additionally, they can pursue teaching and research roles in higher education or continue their studies for a master's degree.
