Enrolment In University First Degree Courses By Type Of Course And Sex, Annual
Description
Annual enrolment in Singapore university first-degree courses by course type and sex from 1991 through 2024, compiled by the Singapore Department of Statistics from NUS, NTU, SMU, SIT, SUTD, SUSS/SIM and MOE sources. Footnotes cover SSEC classification changes and progressive inclusion of newer universities. Education planners track degree enrolment composition by field and gender.
Official description
Source: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN (FROM 2012), SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (FROM 2017), SINGAPORE INSTITUTE OF TECHNOLOGY (FROM 2010), SIM UNIVERSITY (FROM 2014 TO 2016), MINISTRY OF EDUCATION (FROM 2011), NATIONAL UNIVERSITY OF SINGAPORE, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE MANAGEMENT UNIVERSITY Data Last Updated: 09/01/2026 Update Frequency: Annual Footnotes: Data prior to 2015 are classified according to the Singapore Standard Educational Classification (SSEC) 2010 while data for 2015 to 2019 and from 2020 are classified according to SSEC 2015 and SSEC 2020 respectively. Covers full-time and part-time first degree courses. From 2010, data includes students enrolled in Singapore Institute of Technology. With effect from 2011, data included source from MOE. From 2012, data includes students enrolled in Singapore University of Technology and Design. From 2014, data includes students enrolled in SIM University. With effect from 2017, there are courses whose main field of study is not elsewhere classifiable. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850491
- Last updated
- Coverage
- 1991-01-01 – 2024-12-31
- Rows
- 32
- Columns
- 35
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1992 | 1991 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Males | 50748.000000 | 50111.000000 | 49093.000000 | 47955.000000 | 45749.000000 | 44117.000000 | 42659.000000 | 41471.000000 | 34010.000000 | 32702.000000 | 31800.000000 | 30863.000000 | 30447.000000 | 29500.000000 | 28375.000000 | 27532.000000 | 26063.000000 | 25191.000000 | 24657.000000 | 23220.000000 | 21934.000000 | 21275 | 20896 | 20354 | 19556 | 18319 | 17186 | 16251 | 15624 | 14711 | 14325 | 13727 | 13183 | 12198 |
| Males: Education | 307.000000 | 264.000000 | 291.000000 | 283.000000 | 260.000000 | 247.000000 | 230.000000 | 263.000000 | 169.000000 | 207.000000 | 258.000000 | 317.000000 | 420.000000 | 468.000000 | 465.000000 | 406.000000 | 301.000000 | 234.000000 | 212.000000 | 249.000000 | 286.000000 | 290 | 261 | 238 | 211 | 195 | 181 | 206 | 200 | 191 | 158 | 92 | 50 | 13 |
| Males: Applied Arts | 507.000000 | 499.000000 | 579.000000 | 550.000000 | 622.000000 | 661.000000 | 698.000000 | 725.000000 | 670.000000 | 665.000000 | 641.000000 | 628.000000 | 586.000000 | 539.000000 | 469.000000 | 408.000000 | 342.000000 | 282.000000 | 223.000000 | 143.000000 | 100.000000 | 83 | 48 | 35 | 22 | 14 | na | na | na | na | na | na | na | na |
| Males: Humanities & Social Sciences | 6537.000000 | 6653.000000 | 5594.000000 | 5158.000000 | 5231.000000 | 5242.000000 | 5227.000000 | 5155.000000 | 4046.000000 | 3861.000000 | 3756.000000 | 3550.000000 | 3327.000000 | 3242.000000 | 3121.000000 | 2993.000000 | 2701.000000 | 2388.000000 | 2135.000000 | 1823.000000 | 1599.000000 | 1501 | 1478 | 1506 | 1477 | 1463 | 1393 | 1388 | 1368 | 1290 | 1297 | 1251 | 1264 | 1221 |
| Males: Mass Communication & Information Science | 296.000000 | 310.000000 | 309.000000 | 328.000000 | 363.000000 | 389.000000 | 414.000000 | 411.000000 | 178.000000 | 174.000000 | 174.000000 | 173.000000 | 184.000000 | 183.000000 | 185.000000 | 176.000000 | 145.000000 | 147.000000 | 130.000000 | 137.000000 | 132.000000 | 134 | 137 | 134 | 136 | 141 | 125 | 122 | 110 | 75 | 55 | 28 | na | na |
| Males: Accountancy | 1837.000000 | 2048.000000 | 2144.000000 | 2267.000000 | 2359.000000 | 2472.000000 | 2486.000000 | 2425.000000 | 2181.000000 | 2039.000000 | 1912.000000 | 1768.000000 | 1685.000000 | 1627.000000 | 1321.000000 | 1323.000000 | 1229.000000 | 1160.000000 | 1087.000000 | 829.000000 | 697.000000 | 672 | 711 | 712 | 715 | 760 | 839 | 853 | 833 | 806 | 820 | 852 | 891 | 824 |
| Males: Business & Administration | 7282.000000 | 7099.000000 | 7245.000000 | 6856.000000 | 6340.000000 | 5793.000000 | 5430.000000 | 5212.000000 | 3284.000000 | 3111.000000 | 2980.000000 | 2782.000000 | 2705.000000 | 2543.000000 | 2688.000000 | 2529.000000 | 2425.000000 | 2312.000000 | 2141.000000 | 1914.000000 | 1597.000000 | 1406 | 1227 | 1130 | 1159 | 1136 | 1165 | 1249 | 1367 | 1354 | 1312 | 1234 | 1131 | 1014 |
| Males: Law | 912.000000 | 913.000000 | 873.000000 | 966.000000 | 916.000000 | 912.000000 | 890.000000 | 879.000000 | 853.000000 | 844.000000 | 799.000000 | 755.000000 | 757.000000 | 706.000000 | 640.000000 | 610.000000 | 494.000000 | 457.000000 | 409.000000 | 345.000000 | 314.000000 | 273 | 245 | 251 | 248 | 269 | 300 | 297 | 335 | 333 | 334 | 353 | 361 | 398 |
| Males: Natural & Mathematical Sciences | 1611.000000 | 1583.000000 | 3094.000000 | 3263.000000 | 3189.000000 | 3234.000000 | 3329.000000 | 3395.000000 | 3300.000000 | 3237.000000 | 3223.000000 | 3140.000000 | 3258.000000 | 3340.000000 | 3159.000000 | 2917.000000 | 2592.000000 | 2243.000000 | 2041.000000 | 1846.000000 | 1531.000000 | 1460 | 1409 | 1276 | 1153 | 1048 | 1034 | 1071 | 1097 | 1118 | 1194 | 1158 | 1144 | 1128 |
| Males: Medicine | 1125.000000 | 1160.000000 | 1089.000000 | 1199.000000 | 1158.000000 | 1117.000000 | 1079.000000 | 1016.000000 | 933.000000 | 860.000000 | 784.000000 | 725.000000 | 695.000000 | 681.000000 | 685.000000 | 682.000000 | 670.000000 | 671.000000 | 685.000000 | 690.000000 | 684.000000 | 673 | 671 | 650 | 611 | 604 | 584 | 564 | 553 | 547 | 531 | 522 | 513 | 525 |
| Males: Dentistry | 106.000000 | 89.000000 | 87.000000 | 79.000000 | 88.000000 | 91.000000 | 89.000000 | 76.000000 | 75.000000 | 85.000000 | 84.000000 | 83.000000 | 81.000000 | 79.000000 | 76.000000 | 77.000000 | 70.000000 | 65.000000 | 70.000000 | 72.000000 | 80.000000 | 78 | 80 | 85 | 83 | 83 | 81 | 84 | 89 | 95 | 98 | 101 | 93 | 103 |
| Males: Health Sciences | 1094.000000 | 1071.000000 | 1199.000000 | 1022.000000 | 922.000000 | 872.000000 | 760.000000 | 633.000000 | 525.000000 | 441.000000 | 422.000000 | 387.000000 | 345.000000 | 319.000000 | 281.000000 | 242.000000 | 176.000000 | 128.000000 | 94.000000 | 81.000000 | 70.000000 | 71 | 68 | 65 | 66 | 66 | 54 | 37 | 29 | 22 | 22 | 23 | 23 | 18 |
| Males: Information Technology | 11390.000000 | 10669.000000 | 9021.000000 | 8433.000000 | 7019.000000 | 5750.000000 | 4907.000000 | 4474.000000 | 3352.000000 | 3071.000000 | 2809.000000 | 2737.000000 | 2617.000000 | 2465.000000 | 2178.000000 | 1966.000000 | 1775.000000 | 1570.000000 | 1429.000000 | 1278.000000 | 1206.000000 | 1230 | 1283 | 1319 | 1236 | 1062 | 960 | 958 | 1031 | 1054 | 991 | 911 | 807 | 693 |
| Males: Architecture, Building & Real Estate | 1225.000000 | 1370.000000 | 1932.000000 | 1427.000000 | 1417.000000 | 1377.000000 | 1388.000000 | 1403.000000 | 775.000000 | 784.000000 | 777.000000 | 760.000000 | 710.000000 | 694.000000 | 669.000000 | 639.000000 | 600.000000 | 579.000000 | 582.000000 | 609.000000 | 610.000000 | 593 | 629 | 608 | 578 | 504 | 431 | 426 | 453 | 467 | 481 | 478 | 475 | 414 |
| Males: Engineering Sciences | 15429.000000 | 15290.000000 | 14673.000000 | 15174.000000 | 14977.000000 | 15128.000000 | 14930.000000 | 14631.000000 | 13314.000000 | 12971.000000 | 12895.000000 | 12687.000000 | 12732.000000 | 12362.000000 | 12326.000000 | 12461.000000 | 12447.000000 | 12872.000000 | 13359.000000 | 13176.000000 | 13018.000000 | 12811 | 12649 | 12345 | 11861 | 10974 | 10039 | 8996 | 8159 | 7359 | 7032 | 6724 | 6431 | 5847 |
| Males: Services | 852.000000 | 798.000000 | 764.000000 | 749.000000 | 727.000000 | 684.000000 | 671.000000 | 654.000000 | 355.000000 | 352.000000 | 286.000000 | 371.000000 | 345.000000 | 252.000000 | 112.000000 | 103.000000 | 96.000000 | 83.000000 | 60.000000 | 28.000000 | 10.000000 | na | na | na | na | na | na | na | na | na | na | na | na | na |
| Females | 46221.000000 | 46764.000000 | 46794.000000 | 46618.000000 | 44974.000000 | 43737.000000 | 42307.000000 | 41176.000000 | 34266.000000 | 33412.000000 | 32063.000000 | 30943.000000 | 30309.000000 | 29209.000000 | 28742.000000 | 27826.000000 | 26535.000000 | 25372.000000 | 23449.000000 | 22133.000000 | 21252.000000 | 20410 | 19844 | 19217 | 18092 | 16783 | 15907 | 15477 | 14750 | 13934 | 12864 | 12078 | 11639 | 11111 |
| Females: Education | 1223.000000 | 1157.000000 | 1175.000000 | 1277.000000 | 1327.000000 | 1292.000000 | 1260.000000 | 1320.000000 | 583.000000 | 771.000000 | 845.000000 | 1021.000000 | 1189.000000 | 1369.000000 | 1376.000000 | 1329.000000 | 1174.000000 | 791.000000 | 652.000000 | 695.000000 | 812.000000 | 884 | 846 | 724 | 616 | 465 | 449 | 503 | 580 | 658 | 561 | 458 | 301 | 106 |
| Females: Applied Arts | 993.000000 | 960.000000 | 886.000000 | 898.000000 | 949.000000 | 996.000000 | 1034.000000 | 1038.000000 | 958.000000 | 934.000000 | 937.000000 | 864.000000 | 761.000000 | 640.000000 | 607.000000 | 549.000000 | 503.000000 | 429.000000 | 334.000000 | 212.000000 | 126.000000 | 91 | 49 | 37 | 26 | 11 | na | na | na | na | na | na | na | na |
| Females: Humanities & Social Sciences | 11545.000000 | 11789.000000 | 10411.000000 | 10697.000000 | 10824.000000 | 10937.000000 | 10789.000000 | 10603.000000 | 8449.000000 | 8054.000000 | 7535.000000 | 7095.000000 | 6760.000000 | 6447.000000 | 6573.000000 | 6463.000000 | 6058.000000 | 5697.000000 | 4887.000000 | 4331.000000 | 3860.000000 | 3735 | 3792 | 3911 | 3966 | 3989 | 3961 | 3947 | 3831 | 3734 | 3462 | 3283 | 3157 | 3054 |
| Females: Mass Communication & Information Science | 862.000000 | 894.000000 | 940.000000 | 963.000000 | 937.000000 | 936.000000 | 973.000000 | 958.000000 | 596.000000 | 602.000000 | 555.000000 | 529.000000 | 494.000000 | 490.000000 | 490.000000 | 516.000000 | 543.000000 | 546.000000 | 555.000000 | 507.000000 | 490.000000 | 474 | 413 | 399 | 361 | 339 | 349 | 330 | 323 | 238 | 146 | 69 | na | na |
| Females: Accountancy | 2460.000000 | 2706.000000 | 2949.000000 | 2915.000000 | 2932.000000 | 2999.000000 | 3140.000000 | 3225.000000 | 2909.000000 | 2684.000000 | 2456.000000 | 2274.000000 | 2316.000000 | 2244.000000 | 1882.000000 | 1871.000000 | 1910.000000 | 1914.000000 | 1845.000000 | 1732.000000 | 1698.000000 | 1497 | 1498 | 1543 | 1567 | 1548 | 1512 | 1517 | 1476 | 1426 | 1344 | 1246 | 1210 | 1248 |
| Females: Business & Administration | 8986.000000 | 9251.000000 | 9419.000000 | 9117.000000 | 8434.000000 | 7587.000000 | 6971.000000 | 6389.000000 | 4230.000000 | 4027.000000 | 3597.000000 | 3406.000000 | 3368.000000 | 3237.000000 | 3738.000000 | 3457.000000 | 3423.000000 | 3363.000000 | 3271.000000 | 3098.000000 | 3024.000000 | 2865 | 2738 | 2632 | 2593 | 2563 | 2669 | 2770 | 2731 | 2680 | 2608 | 2515 | 2363 | 2109 |
| Females: Law | 1095.000000 | 1041.000000 | 1026.000000 | 909.000000 | 907.000000 | 862.000000 | 818.000000 | 767.000000 | 740.000000 | 706.000000 | 715.000000 | 736.000000 | 717.000000 | 742.000000 | 783.000000 | 711.000000 | 649.000000 | 547.000000 | 463.000000 | 499.000000 | 502.000000 | 479 | 435 | 378 | 350 | 334 | 329 | 355 | 360 | 387 | 415 | 410 | 408 | 382 |
| Females: Natural & Mathematical Sciences | 2034.000000 | 2003.000000 | 4033.000000 | 3985.000000 | 3685.000000 | 3981.000000 | 4231.000000 | 4646.000000 | 4967.000000 | 4989.000000 | 4922.000000 | 4715.000000 | 4625.000000 | 4482.000000 | 4481.000000 | 4457.000000 | 4227.000000 | 3925.000000 | 3513.000000 | 3203.000000 | 3002.000000 | 2976 | 2674 | 2547 | 2295 | 2071 | 1918 | 1885 | 1812 | 1697 | 1682 | 1598 | 1690 | 1665 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2024 | Numeric | No |
| 2023 | Numeric | No |
| 2022 | Numeric | No |
| 2021 | Numeric | No |
| 2020 | Numeric | No |
| 2019 | Numeric | No |
| 2018 | Numeric | No |
| 2017 | Numeric | No |
| 2016 | Numeric | No |
| 2015 | Numeric | No |
| 2014 | Numeric | No |
| 2013 | Numeric | No |
| 2012 | Numeric | No |
| 2011 | Numeric | No |
| 2010 | Numeric | No |
| 2009 | Numeric | No |
| 2008 | Numeric | No |
| 2007 | Numeric | No |
| 2006 | Numeric | No |
| 2005 | Numeric | No |
| 2004 | Numeric | No |
| 2003 | Text | No |
| 2002 | Text | No |
| 2001 | Text | No |
| 2000 | Text | No |
| 1999 | Text | No |
| 1998 | Text | No |
| 1997 | Text | No |
| 1996 | Text | No |
| 1995 | Text | No |
| 1994 | Text | No |
| 1993 | Text | No |
| 1992 | Text | No |
| 1991 | Text | No |