A​fter individual application, college qualification examination and expert evaluation and selection, our university intends to recommend five students, including Liu Zhuo Lin, to declare the special project of the National Scholarship Council for Rural Revitalization Talent Cultivation in 2023. The situation is announced as follows:

Liu Zhuo Lin, female, born in February 2001, is a 2019 undergraduate student of economic statistics in the School of Statistics of Jiangxi University of Finance and Economics, who plans to go to Jeonnam National University in South Korea in September 2023 to participate in the Master's Degree Program abroad for a period of 18 months.

Hu Fen, female, born in February 2000, is a master's degree student of Jiangxi University of Finance and Economics, majoring in statistics, class of 2021, and plans to go to Jeonnam National University in South Korea in August 2023 to participate in the joint training abroad master's program for 6 months.

Liu Qingya, female, born in September 2000, is a master's degree student of Jiangxi University of Finance and Economics, majoring in statistics, class of 2022, who plans to go to Jeonnam National University in South Korea in August 2023 to participate in the joint training abroad master's program for a period of 6 months.

Chen Xi, female, born in November 2001, is a master's degree student of Jiangxi University of Finance and Economics, majoring in statistics in the class of 2022, and plans to go to Jeonnam National University in South Korea in August 2023 to participate in the joint training abroad master's program for 6 months.

Huang Shuang, male, born in September 1999, is a master's degree student of Western Economics in the School of Economics, Jiangxi University of Finance and Economics, class of 2021, who plans to go to Jeonnam National University in South Korea in August 2023 to participate in the joint training abroad master's program for a period of 6 months.

If you have any objections, please reflect them to the School of Statistics in written or oral form within five working days, telephone 0791-83951042.

The School of Statistics