{"id":34424,"date":"2025-08-25T16:49:08","date_gmt":"2025-08-25T08:49:08","guid":{"rendered":"https:\/\/aicats.wiki\/?p=34424"},"modified":"2025-08-25T16:49:08","modified_gmt":"2025-08-25T08:49:08","slug":"%e5%8d%97%e6%b4%8b%e7%90%86%e5%b7%a5%e5%80%bc%e5%be%97%e7%94%b3%e8%ab%8b%e5%97%8e%ef%bc%9f%e5%a0%b1%e8%80%83%e5%89%8d%e4%bd%a0%e4%b8%8d%e5%8f%af%e4%b8%8d%e7%9f%a5%e7%9a%845%e5%a4%a7%e7%9c%9f%e7%9b%b8","status":"publish","type":"post","link":"https:\/\/aicats.wiki\/tw\/2025\/08\/25\/34424-html","title":{"rendered":"\u5357\u6d0b\u7406\u5de5\u503c\u5f97\u7533\u8acb\u55ce\uff1f\u5831\u8003\u524d\u4f60\u4e0d\u53ef\u4e0d\u77e5\u76845\u5927\u771f\u76f8\uff08\u542bAI\u76f8\u95dc\u5c08\u696d\u5206\u6790\uff09"},"content":{"rendered":"

\u5357\u6d0b\u7406\u5de5\u5927\u5b78<\/a>\uff08NTU\uff09\u4e0d\u50c5\u5728\u5168\u7403\u6392\u540d\u4eae\u773c\uff0c\u66f4\u4ee5\u4eba\u5de5\u667a\u80fd\u7b49\u524d\u6cbf\u5c08\u696d\u6df1\u53d7\u77da\u76ee\u3002<\/strong>\u672c\u7bc7\u570d\u7e5e\u4e94\u5927\u7533\u8acb\u771f\u76f8<\/strong>\uff0c\u5256\u6790\u7533\u8acb\u96e3\u5ea6\u3001\u5b78\u8cbb\u548c\u734e\u5b78\u91d1\u3001\u71b1\u9580AI<\/a>\u5c08\u696d\u3001\u5c31\u696d\u524d\u666f\u3001\u4e00\u6d41\u6821\u5712\u9ad4\u9a57\uff0c\u4e26\u91dd\u5c0dAI\u8ab2\u7a0b\u505a\u7368\u5bb6\u89e3\u8b80\u3002\u5c0d\u6709\u5fd7\u9032\u8ecd\u570b\u969b\u9802\u5c16\u5b78\u8853\u8207AI\u7522\u696d\u7684\u540c\u5b78\uff0c\u5168\u9762\u63d0\u4f9b\u9078\u6821\u8207\u7533\u8acb\u5efa\u8b70<\/strong>\uff01<\/p>\n\n\n\n

\"\u5357\u6d0b\u7406\u5de5\u503c\u5f97\u7533\u8acb\u55ce\uff1f\u5831\u8003\u524d\u4f60\u4e0d\u53ef\u4e0d\u77e5\u76845\u5927\u771f\u76f8\uff08\u542bAI\u76f8\u95dc\u5c08\u696d\u5206\u6790\uff09\"<\/figure>\n\n\n\n

\u4e00\u3001\u5357\u6d0b\u7406\u5de5\u5927\u5b78\u57fa\u672c\u8cc7\u8a0a\u8207\u570b\u969b\u5730\u4f4d<\/h2>\n\n\n\n

\u6821\u5712\u8207\u6392\u540d\u6982\u6cc1<\/h3>\n\n\n\n

\u5357\u6d0b\u7406\u5de5\u5927\u5b78\uff08NTU\uff09\u4f4d\u65bc\u65b0\u52a0\u5761\u897f\u90e8\uff0c\u5de5\u7a0b\u3001\u79d1\u5b78\u3001IT\u3001\u8a2d\u8a08\u7b49\u5b78\u79d1\u5353\u8d8a\u3002\u6839\u64daQS\u4e16\u754c\u5927\u5b78\u6392\u540d2024<\/strong>\uff0cNTU\u4f4d\u5c45\u5168\u7403\u7b2c26\u4f4d\u3001\u4e9e\u6d32\u7b2c6\u4f4d\uff0c\u5de5\u7a0b\u6280\u8853\u3001\u8a08\u7b97\u6a5f\u79d1\u5b78\u7b49\u9032\u5165\u4e16\u754c\u524d\u5341\u540d\u3002<\/p>\n\n\n\n

\u5c08\u6848<\/th>\u6392\u540d\uff082024\uff09<\/th>\u5099\u8a3b<\/th><\/tr><\/thead>
\u7d9c\u5408\u6392\u540d<\/td>\u4e16\u754c\u7b2c26<\/td>QS World University Rankings<\/td><\/tr>
\u5de5\u7a0b\u6280\u8853<\/td>\u4e16\u754c\u7b2c4<\/td>QS by Subject<\/td><\/tr>
\u96fb\u8166\u79d1\u5b78<\/td>\u4e16\u754c\u7b2c10<\/td>QS by Subject<\/td><\/tr>
\u4e9e\u6d32\u6392\u540d<\/td>\u7b2c6<\/td>QS Asia University Rankings<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

NTU\u9ad8\u5ea6\u570b\u969b\u5316<\/strong>\uff0c\u5916\u7c4d\u751f\u4f5430%\uff0c\u5168\u82f1\u8a9e\u6388\u8ab2\uff0c\u8207\u4e16\u754c\u540d\u6821\u5bc6\u5207\u5408\u4f5c\u3002<\/p>\n\n\n\n

\"\u5357\u6d0b\u7406\u5de5\u5927\u5b78\u6821\u5712\"
\u5716\uff0f\u5357\u6d0b\u7406\u5de5\u5927\u5b78\u6821\u5712<\/a><\/figcaption><\/figure>\n\n\n\n

\u4e8c\u3001\u7533\u8acb\u5357\u6d0b\u7406\u5de5\u524d\u4e0d\u53ef\u4e0d\u77e5\u7684\u4e94\u5927\u771f\u76f8<\/h2>\n\n\n\n

1. \u7533\u8acb\u96e3\u5ea6\u8207\u9304\u53d6\u7387<\/h3>\n\n\n\n

\u7533\u8acb\u9580\u6abb\u9ad8\u3001\u9304\u53d6\u7af6\u722d\u6fc0\u70c8<\/strong>\u3002\u672c\u78a9\u7686\u9700\u63d0\u4f9b\u512a\u79c0\u6210\u7e3e\u3001\u8a9e\u8a00\u8b49\u660e\uff0c\u71b1\u9580\u5c08\u696d\u66f4\u91cd\u8996\u7d9c\u5408\u80fd\u529b\u3002<\/p>\n\n\n\n

\u5b78\u4f4d<\/th>\u4e3b\u8981\u7533\u8acb\u689d\u4ef6<\/th>\u8a9e\u8a00\u8981\u6c42<\/th>\u9304\u53d6\u7387<\/th><\/tr><\/thead>
\u5927\u5b78\u90e8<\/td>IB 38+\/A-level \u4e09A+\/\u9ad8\u8003600+<\/td>IELTS 6.5+<\/td>15%-20%<\/td><\/tr>
\u78a9\u58eb<\/td>\u672c\u79d1GPA\u512a\u79c0\uff0c\u90e8\u5206\u9700GRE\/GMAT<\/td>IELTS 6.5+<\/td>10%-15%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

2. \u5b78\u8cbb\u8207\u734e\u5b78\u91d1\u653f\u7b56<\/h3>\n\n\n\n

\u570b\u969b\u751f\u672c\u79d1\u5e74\u5b78\u8cbb\u7d0417,000~20,000\u65b0\u5e63\uff0c\u78a9\u58eb\u6700\u9ad8\u905450,000\u65b0\u5e63\/\u5e74\u3002\u751f\u6d3b\u8cbb8,000~12,000\u65b0\u5e63\/\u5e74\u3002\u734e\u5b78\u91d1\u8c50\u5bcc\u4f46\u7af6\u722d\u56b4\u5cfb<\/strong>\u3002<\/p>\n\n\n\n

\u5b78\u5236<\/th>\u5b78\u8cbb\u5340\u9593\uff08\u65b0\u5e63\uff09<\/th>\u5099\u8a3b<\/th><\/tr><\/thead>
\u5927\u5b78\u90e8<\/td>17,000~20,000<\/td>\u653f\u5e9c\u8cc7\u52a9\u50f9\uff0c\u672a\u88dc\u52a9\u66f4\u9ad8<\/td><\/tr>
\u78a9\u58eb<\/td>22,000~50,000+<\/td>AI\/\u5de5\u7a0b\u985e\u9ad8<\/td><\/tr>
\u751f\u6d3b\u8cbb<\/td>8,000~12,000<\/td>\u542b\u98df\u5bbf\u3001\u4ea4\u901a\u7b49<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

3. \u5c08\u696d\u8a2d\u7f6e\u8207AI\u767c\u5c55<\/h3>\n\n\n\n

NTU\u4ee5\u5de5\u7a0b\u3001IT\u3001AI\u5c08\u696d\u70ba\u6700\u5927\u512a\u52e2<\/strong>\u3002 School of Computer Science and Engineering\u4e3b\u5c0eAI\u6838\u5fc3\u8ab2\u7a0b\uff0c\u591a\u8207\u570b\u969b\u4f01\u696d\u5171\u7814\u524d\u6cbf\u65b9\u5411\u3002<\/p>\n\n\n\n

\u5c08\u696d\u540d\u7a31<\/th>\u5b78\u4f4d\u985e\u578b<\/th>\u4e3b\u8981\u65b9\u5411<\/th>\u7279\u8272<\/th><\/tr><\/thead>
Computer Science<\/td>\u672c\u78a9\u535a<\/td>\u8edf\u4ef6\u958b\u767c\u3001AI\u6f14\u7b97\u6cd5<\/td>\u5b78\u79d1\u6392\u540d\u9ad8\uff0c\u79d1\u6280\u516c\u53f8\u5408\u4f5c<\/td><\/tr>
Artificial Intelligence<\/td>\u78a9\u58eb<\/td>\u6a5f\u5668\u5b78\u7fd2\u3001Deep Learning<\/td>\u8ab2\u7a0b\u524d\u6cbf\uff0c\u7522\u696d\u806f\u5408\u7814\u767c<\/td><\/tr>
Data Science & AI<\/td>\u78a9\u535a<\/td>\u5927\u6578\u64da\u5206\u6790\u3001AI\u61c9\u7528<\/td>\u8de8\u5b78\u79d1\uff0c\u7522\u5b78\u7814\u7d50\u5408<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8a2d\u6709AI\u7522\u696d\u7814\u7a76\u4e2d\u5fc3\uff0c\u7dca\u8cbc\u7522\u696d\u8da8\u52e2<\/strong>\uff0c\u5b78\u7fd2\u8cc7\u6e90\u6975\u70ba\u8c50\u5bcc\u3002<\/p>\n\n\n\n

4. \u5c31\u696d\u524d\u666f\u8207\u6821\u53cb\u7db2\u7d61<\/h3>\n\n\n\n

NTU\u7562\u696d\u751f\u5c31\u696d\u738795%<\/strong>\uff0cAI\u3001IT\u96fb\u8166\u3001\u5de5\u7a0b\u4eba\u624d\u591a\u9032\u5165\u9802\u5c16\u4f01\u696d\uff1a\u963f\u91cc\u5df4\u5df4\u3001Google\u3001\u65b0\u52a0\u5761Grab\u3001Shopee\u7b49\u3002<\/p>\n\n\n\n

\"\u5357\u6d0b\u7406\u5de5\u570b\u969b\u6392\u540d\"
\u5716\uff0f\u5357\u6d0b\u7406\u5de5\u570b\u969b\u6392\u540d<\/a><\/figcaption><\/figure>\n\n\n\n
\u5c08\u696d<\/th>\u5e73\u5747\u8d77\u85aa(\u65b0\u5e63\/\u6708)<\/th>\u4e3b\u8981\u5c31\u8077\u516c\u53f8<\/th>\u5730\u5340\u5206\u4f48<\/th><\/tr><\/thead>
\u8a08\u7b97\u6a5f\/AI<\/td>4,500~6,000<\/td>Google, Shopee, Grab<\/td>\u65b0\u52a0\u5761\/\u4e2d\u570b<\/td><\/tr>
\u5de5\u7a0b\/\u96fb\u5b50<\/td>4,000~5,500<\/td>Micron, Intel, Dyson<\/td>\u65b0\u52a0\u5761\/\u5168\u7403<\/td><\/tr>
\u5546\u696d\/\u5546\u7ba1<\/td>3,500~5,000<\/td>\u91d1\u878d\u3001\u56db\u5927\u6703\u8a08\u4e8b\u52d9\u6240<\/td>\u6771\u5357\u4e9e\/\u4e2d\u570b<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u6821\u53cb\u7db2\u7d61\u5ee3\u6cdb\uff0c\u63a8\u85a6LinkedIn\u8077\u696d\u6210\u9577AI\u52a9\u7406<\/strong>\u8f14\u52a9\u898f\u5283\u8077\u9014\u3002<\/p>\n\n\n\n

5. \u6821\u5712\u751f\u6d3b\u8207\u5b78\u7fd2\u9ad4\u9a57<\/h3>\n\n\n\n

\u570b\u969b\u5316\u3001\u591a\u5143\u6587\u5316\u6821\u5712<\/strong>\uff0c\u8c50\u5bcc\u8ab2\u5916\u6d3b\u52d5\u548c\u5275\u696d\u7af6\u8cfd\u3002\u6821\u5712\u8a2d\u65bd\u73fe\u4ee3\uff0c\u79d1\u6280\u6c1b\u570d\u6fc3\u3002\u91cd\u8996\u5be6\u8e10\u8207\u6d77\u5916\u4ea4\u6d41<\/span>\uff0c\u5982\u6b50\u7f8e\u3001\u4e9e\u6d32\u9802\u5c16\u6821\u4ea4\u63db\u8a08\u756b\u3002<\/p>\n\n\n\n

AI\u5b78\u7fd2\u8cc7\u6e90\u591a\u5143\uff0c\u7dda\u4e0a\u7df4\u7fd2\u5e73\u53f0\u5982Kaggle<\/a>\u52a9\u529b\u81ea\u5b78\u548c\u5be6\u6230\u3002<\/p>\n\n\n\n

\u4e09\u3001\u5357\u6d0b\u7406\u5de5AI\u76f8\u95dc\u5c08\u696d\u89e3\u8b80\u8207\u7533\u8acb\u5efa\u8b70<\/h2>\n\n\n\n

1. \u7368\u7279\u512a\u52e2\u53caAI\u5e2b\u8cc7\u529b\u91cf<\/h3>\n\n\n\n

\u4e9e\u6d32\u9802\u5c16AI\u6559\u6388\u5718\u968a\uff0c\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u795e\u7d93\u7db2\u8def\u3001AI\u5b89\u5168\u7b49\u7686\u9818\u5148\u3002<\/strong>\u5e2b\u8cc7\u591a\u4f86\u81ea\u6b50\u7f8e\u540d\u6821\uff0c\u53c3\u8207\u65b0\u52a0\u5761\u91cd\u5927AI\u9805\u76ee\u3002<\/p>\n\n\n\n

\"AI\u5b78\u7fd2\u7dda\u4e0a\u5e73\u53f0\"
\u5716\uff0fAI\u5b78\u7fd2\u7dda\u4e0a\u5e73\u53f0<\/a><\/figcaption><\/figure>\n\n\n\n

2. \u7522\u5b78\u7d50\u5408\u8207\u4f01\u696d\u5408\u4f5c\u9805\u76ee<\/h3>\n\n\n\n

\u7522\u5b78\u5408\u4f5c\u5bc6\u96c6<\/strong>\uff0c\u8207\u5fae\u8edf\u3001\u9a30\u8a0a\u3001\u65b0\u5275\u4f01\u696d\u7b49\u958b\u8a2d\u7522\u696d\u5c08\u6848\u548c\u5be6\u7fd2\uff0c\u78a9\u58ebAI\u8ab2\u7a0b\u8a2d\u6709\u7522\u696d\u5c0e\u5411\u7684\u7814\u7a76\u5e73\u53f0\u3002<\/p>\n\n\n\n

\u63a8\u85a6AI\u9805\u76ee\u7af6\u8cfd\u5e73\u53f0\uff1aDevpost<\/a><\/p>\n\n\n\n

3. AI\u7814\u7a76\u8cc7\u6e90\u8207\u57fa\u790e\u8a2d\u65bd<\/h3>\n\n\n\n

\u64c1\u6709\u591a\u500bAI\u7814\u7a76\u4e2d\u5fc3\u3001\u9ad8\u6027\u80fdNTU\u8a08\u7b97\u96c6\u7fa4\uff0c\u5b9a\u671f\u8209\u8fa6\u7814\u7a76Workshop\uff0c\u652f\u63f4\u5b78\u751f\u53c3\u8207\u570b\u969b\u6703\u8b70\u8207\u65b0\u8208\u6280\u8853\u7814\u7a76\u3002<\/p>\n\n\n\n

\"AI\u7522\u5b78\u5408\u4f5c\u9805\u76ee\"
\u5716\uff0fAI\u7522\u5b78\u5408\u4f5c\u9805\u76ee<\/figcaption><\/figure>\n\n\n\n

4. \u5b78\u751f\u4f5c\u54c1\u8207\u4e3b\u984c\u63a2\u7d22<\/h3>\n\n\n\n

\u6b77\u5c46\u7562\u696d\u751f\u5728\u5716\u50cf\u8b58\u5225\u3001\u8a9e\u97f3\u5408\u6210\u3001\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u7b49\u9818\u57df\u53d6\u5f97\u8a31\u591a\u4e16\u754c\u7d1a\u734e\u9805\uff0c\u90e8\u5206\u6210\u679c\u76f4\u63a5\u9032\u5165\u5546\u7528\u3002<\/p>\n\n\n\n

\u56db\u3001\u5357\u6d0b\u7406\u5de5\u7533\u8acb\u8207\u5b78\u7fd2\uff0dAI\u6578\u667a\u672a\u4f86\u7684\u95dc\u9375\u6a1e\u7d10<\/h2>\n\n\n\n

NTU\u7533\u8acb\u50f9\u503c\u6975\u9ad8<\/strong>\uff0c\u5c24\u5176AI\u3001\u5de5\u7a0b\u3001IT\u5275\u65b0\u5c08\u696d\u70ba\u5168\u7403\u524d\u6cbf\u3002\u591a\u5b78\u79d1\u878d\u5408\u3001\u7522\u5b78\u5354\u540c\u548c\u9ad8\u6295\u5165\u8cc7\u6e90<\/strong>\u4f7f\u5176\u6210\u70ba\u885d\u64ca\u570b\u969b\u8077\u5834\u8207\u5b78\u8853\u5708\u7684\u95dc\u9375\u8df3\u677f\u3002<\/p>\n\n\n\n

\u6709\u5fd7AI\u7533\u8acb\u8005\uff0c\u8acb\u95dc\u6ce8\u7533\u8acb\u689d\u4ef6\u3001\u63d0\u524d\u898f\u5283\uff0c\u5584\u7528ScholarAI<\/a>\u3001Kaggle<\/a>\u3001LinkedIn<\/a>\u7b49AI\u5de5\u5177\u63d0\u5347\u7af6\u722d\u529b\u3002<\/p>\n\n\n\n

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