Specialty setting and curriculum setting: Nanjing University of Posts and Telecommunications focuses on cultivating students' abilities in data analysis and processing, data mining, machine learning, and large-scale data storage and processing. This major offers basic mathematics, computer programming, database principles, data mining, artificial intelligence and other related courses to provide students with a solid theoretical foundation and practical skills.
Practical teaching and scientific research platform: Nanjing University of Posts and Telecommunications provides students with a good practical teaching and scientific research platform. Students can participate in the research and practice of big data-related projects through laboratory, project training and internship, so as to improve their practical operation ability and problem-solving ability.
Faculty: This major has an experienced and high-level faculty, including professors, associate professors and doctoral supervisors. Teachers have strong research background and practical experience in the field of big data, and can guide students to carry out scientific research and innovation.
Employment prospects: With the rapid development of big data technology, big data majors have broad employment prospects. Graduates can engage in data analysts, data engineers, data scientists, business intelligence analysts and other related occupations in large enterprises and institutions, financial institutions, telecom operators, scientific research institutes and other fields. At present, the job market demand of big data specialty is high, and the employment competition is relatively small.
To sum up, the big data major of Nanjing University of Posts and Telecommunications has good teaching and research resources, pays attention to the combination of theory and practice, and provides students with a good learning platform and employment prospects. Choosing this major needs to consider personal interests and ambitions, and at the same time actively participate in practice and scientific research in the learning process to enhance their comprehensive quality and competitiveness.