Graduates From University First Degree Courses By Type Of Course And Sex, Annual
Description
Annual graduate counts from Singapore university first-degree courses by course type and sex, consolidating figures from NUS, NTU, SMU, SIT, SUTD, SUSS and earlier MOE reporting with methodological footnotes. Education planners track gender balance and field-of-study supply for the local university sector. Wide year columns enable trend analysis back to 1999.
Official description
Source: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN (FROM 2015), SINGAPORE UNIVERSITY OF SOCIAL SCIENCES (FROM 2017), SINGAPORE INSTITUTE OF TECHNOLOGY (FROM 2012), 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. Data refer to academic year. With effect from 2011, data included source from MOE. From 2012, data includes students graduated from Singapore Institute of Technology. From 2015, data includes students graduated from Singapore University of Technology and Design. 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/M850511
- Last updated
- Coverage
- 1993-01-01 – 2024-12-31
- Rows
- 32
- Columns
- 33
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Males | 11180.000000 | 10516.000000 | 10491.000000 | 10058.000000 | 9880.000000 | 9429.000000 | 9404.000000 | 8963.000000 | 7703.000000 | 7872.000000 | 7756.000000 | 7724.000000 | 6778.000000 | 6428.000000 | 6496.000000 | 6004.000000 | 5736.000000 | 5823.000000 | 5207 | 4949 | 5246 | 5197 | 4858 | 4735 | 4536 | 4573 | 4455 | 4276 | 4022 | 4003 | 3889 | 3565 |
| Males: Education | 50.000000 | 64.000000 | 62.000000 | 46.000000 | 58.000000 | 54.000000 | 73.000000 | 65.000000 | 79.000000 | 99.000000 | 124.000000 | 167.000000 | 116.000000 | 103.000000 | 67.000000 | 67.000000 | 53.000000 | 73.000000 | 89 | 86 | 76 | 97 | 63 | 63 | 35 | 44 | 56 | 45 | 46 | 12 | na | na |
| Males: Applied Arts | 124.000000 | 149.000000 | 135.000000 | 180.000000 | 163.000000 | 186.000000 | 189.000000 | 175.000000 | 173.000000 | 187.000000 | 165.000000 | 138.000000 | 108.000000 | 84.000000 | 84.000000 | 47.000000 | 31.000000 | 28.000000 | 11 | 11 | 11 | 11 | na | na | na | na | na | na | na | na | na | na |
| Males: Humanities & Social Sciences | 1453.000000 | 1480.000000 | 1160.000000 | 1192.000000 | 1180.000000 | 1119.000000 | 1095.000000 | 1078.000000 | 803.000000 | 743.000000 | 803.000000 | 818.000000 | 737.000000 | 708.000000 | 703.000000 | 547.000000 | 478.000000 | 441.000000 | 412 | 351 | 383 | 456 | 591 | 534 | 574 | 576 | 547 | 554 | 497 | 497 | 512 | 481 |
| Males: Mass Communication & Information Science | 64.000000 | 56.000000 | 86.000000 | 92.000000 | 82.000000 | 74.000000 | 68.000000 | 78.000000 | 35.000000 | 42.000000 | 44.000000 | 62.000000 | 37.000000 | 41.000000 | 30.000000 | 36.000000 | 32.000000 | 28.000000 | 33 | 36 | 34 | 33 | 30 | 39 | 34 | 19 | 27 | 28 | na | na | na | na |
| Males: Accountancy | 543.000000 | 552.000000 | 574.000000 | 638.000000 | 625.000000 | 611.000000 | 596.000000 | 574.000000 | 439.000000 | 480.000000 | 473.000000 | 399.000000 | 447.000000 | 332.000000 | 380.000000 | 346.000000 | 295.000000 | 260.000000 | 176 | 211 | 234 | 222 | 226 | 257 | 250 | 297 | 264 | 227 | 262 | 289 | 271 | 295 |
| Males: Business & Administration | 1600.000000 | 1449.000000 | 1408.000000 | 1284.000000 | 1121.000000 | 1076.000000 | 1082.000000 | 973.000000 | 751.000000 | 771.000000 | 631.000000 | 693.000000 | 572.000000 | 633.000000 | 674.000000 | 630.000000 | 505.000000 | 493.000000 | 432 | 322 | 325 | 284 | 318 | 403 | 328 | 349 | 461 | 448 | 358 | 365 | 413 | 282 |
| Males: Law | 196.000000 | 238.000000 | 231.000000 | 199.000000 | 190.000000 | 217.000000 | 238.000000 | 187.000000 | 178.000000 | 187.000000 | 180.000000 | 189.000000 | 140.000000 | 121.000000 | 139.000000 | 92.000000 | 94.000000 | 84.000000 | 70 | 62 | 56 | 59 | 73 | 58 | 74 | 92 | 70 | 90 | 75 | 94 | 87 | 92 |
| Males: Natural & Mathematical Sciences | 370.000000 | 354.000000 | 784.000000 | 761.000000 | 816.000000 | 812.000000 | 849.000000 | 743.000000 | 755.000000 | 790.000000 | 786.000000 | 870.000000 | 837.000000 | 619.000000 | 568.000000 | 574.000000 | 469.000000 | 427.000000 | 388 | 321 | 409 | 371 | 276 | 358 | 378 | 401 | 422 | 437 | 449 | 460 | 374 | 404 |
| Males: Medicine | 239.000000 | 231.000000 | 229.000000 | 201.000000 | 208.000000 | 194.000000 | 166.000000 | 145.000000 | 131.000000 | 137.000000 | 134.000000 | 134.000000 | 129.000000 | 136.000000 | 134.000000 | 122.000000 | 131.000000 | 144.000000 | 135 | 123 | 122 | 128 | 122 | 97 | 119 | 104 | 106 | 107 | 97 | 93 | 99 | 95 |
| Males: Dentistry | 11.000000 | 21.000000 | 26.000000 | 25.000000 | 16.000000 | 19.000000 | 14.000000 | 23.000000 | 25.000000 | 19.000000 | 15.000000 | 21.000000 | 21.000000 | 16.000000 | 16.000000 | 12.000000 | 18.000000 | 21.000000 | 18 | 22 | 14 | 21 | 23 | 19 | 17 | 18 | 24 | 20 | 24 | 20 | 23 | 14 |
| Males: Health Sciences | 282.000000 | 257.000000 | 244.000000 | 209.000000 | 211.000000 | 154.000000 | 150.000000 | 142.000000 | 112.000000 | 128.000000 | 124.000000 | 95.000000 | 61.000000 | 42.000000 | 39.000000 | 22.000000 | 10.000000 | 19.000000 | 24 | 16 | 11 | 15 | 20 | 17 | 11 | 14 | 8 | 9 | 9 | 12 | 14 | 10 |
| Males: Information Technology | 2068.000000 | 1826.000000 | 1364.000000 | 1100.000000 | 1068.000000 | 884.000000 | 954.000000 | 758.000000 | 670.000000 | 689.000000 | 708.000000 | 573.000000 | 484.000000 | 388.000000 | 419.000000 | 370.000000 | 308.000000 | 303.000000 | 319 | 363 | 412 | 377 | 365 | 249 | 348 | 355 | 377 | 370 | 362 | 306 | 294 | 264 |
| Males: Architecture, Building & Real Estate | 296.000000 | 276.000000 | 281.000000 | 302.000000 | 254.000000 | 285.000000 | 271.000000 | 273.000000 | 185.000000 | 188.000000 | 146.000000 | 143.000000 | 155.000000 | 121.000000 | 97.000000 | 135.000000 | 148.000000 | 131.000000 | 166 | 138 | 137 | 175 | 134 | 124 | 101 | 104 | 141 | 135 | 142 | 140 | 136 | 132 |
| Males: Engineering Sciences | 3705.000000 | 3374.000000 | 3742.000000 | 3657.000000 | 3717.000000 | 3605.000000 | 3514.000000 | 3593.000000 | 3283.000000 | 3258.000000 | 3288.000000 | 3286.000000 | 2880.000000 | 3060.000000 | 3117.000000 | 2991.000000 | 3150.000000 | 3371.000000 | 2934 | 2887 | 3022 | 2948 | 2617 | 2517 | 2267 | 2200 | 1952 | 1806 | 1701 | 1715 | 1666 | 1496 |
| Males: Services | 165.000000 | 163.000000 | 145.000000 | 158.000000 | 158.000000 | 129.000000 | 128.000000 | 145.000000 | 84.000000 | 154.000000 | 135.000000 | 136.000000 | 54.000000 | 24.000000 | 29.000000 | 13.000000 | 14.000000 | 0.000000 | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
| Females | 11187.000000 | 11117.000000 | 10316.000000 | 9685.000000 | 9938.000000 | 9744.000000 | 9593.000000 | 9574.000000 | 8192.000000 | 7638.000000 | 7620.000000 | 8085.000000 | 7228.000000 | 7281.000000 | 6300.000000 | 6254.000000 | 6036.000000 | 5670.000000 | 5503 | 5360 | 5299 | 5166 | 5354 | 5124 | 4870 | 4890 | 4876 | 4403 | 4196 | 3923 | 3625 | 3683 |
| Females: Education | 278.000000 | 265.000000 | 284.000000 | 289.000000 | 271.000000 | 254.000000 | 358.000000 | 328.000000 | 341.000000 | 317.000000 | 401.000000 | 422.000000 | 526.000000 | 303.000000 | 262.000000 | 281.000000 | 172.000000 | 189.000000 | 302 | 278 | 336 | 264 | 163 | 147 | 115 | 158 | 133 | 187 | 199 | 101 | na | na |
| Females: Applied Arts | 220.000000 | 221.000000 | 200.000000 | 269.000000 | 281.000000 | 263.000000 | 293.000000 | 276.000000 | 259.000000 | 233.000000 | 229.000000 | 152.000000 | 149.000000 | 132.000000 | 121.000000 | 88.000000 | 50.000000 | 41.000000 | 13 | 11 | 14 | 10 | na | na | na | na | na | na | na | na | na | na |
| Females: Humanities & Social Sciences | 2741.000000 | 2939.000000 | 2511.000000 | 2310.000000 | 2477.000000 | 2438.000000 | 2369.000000 | 2353.000000 | 1760.000000 | 1450.000000 | 1619.000000 | 1766.000000 | 1494.000000 | 1772.000000 | 1474.000000 | 1423.000000 | 1203.000000 | 980.000000 | 1071 | 1027 | 993 | 1152 | 1609 | 1520 | 1452 | 1492 | 1547 | 1367 | 1364 | 1240 | 1133 | 1173 |
| Females: Mass Communication & Information Science | 206.000000 | 219.000000 | 213.000000 | 189.000000 | 197.000000 | 222.000000 | 196.000000 | 192.000000 | 153.000000 | 130.000000 | 114.000000 | 100.000000 | 133.000000 | 133.000000 | 147.000000 | 128.000000 | 132.000000 | 141.000000 | 108 | 110 | 109 | 82 | 91 | 77 | 80 | 93 | 74 | 67 | na | na | na | na |
| Females: Accountancy | 736.000000 | 774.000000 | 659.000000 | 757.000000 | 843.000000 | 864.000000 | 752.000000 | 752.000000 | 664.000000 | 556.000000 | 649.000000 | 688.000000 | 589.000000 | 507.000000 | 554.000000 | 596.000000 | 536.000000 | 575.000000 | 468 | 495 | 387 | 524 | 541 | 484 | 495 | 482 | 487 | 453 | 433 | 395 | 378 | 396 |
| Females: Business & Administration | 2267.000000 | 2147.000000 | 1900.000000 | 1649.000000 | 1472.000000 | 1437.000000 | 1291.000000 | 1242.000000 | 969.000000 | 848.000000 | 846.000000 | 897.000000 | 825.000000 | 944.000000 | 859.000000 | 857.000000 | 960.000000 | 894.000000 | 819 | 799 | 742 | 693 | 751 | 807 | 851 | 905 | 869 | 808 | 848 | 788 | 733 | 708 |
| Females: Law | 227.000000 | 209.000000 | 203.000000 | 216.000000 | 204.000000 | 155.000000 | 165.000000 | 188.000000 | 173.000000 | 168.000000 | 176.000000 | 179.000000 | 207.000000 | 208.000000 | 90.000000 | 118.000000 | 115.000000 | 123.000000 | 134 | 125 | 91 | 81 | 77 | 96 | 79 | 77 | 103 | 97 | 106 | 100 | 99 | 93 |
| Females: Natural & Mathematical Sciences | 455.000000 | 544.000000 | 863.000000 | 884.000000 | 1133.000000 | 1212.000000 | 1285.000000 | 1337.000000 | 1195.000000 | 1145.000000 | 1103.000000 | 1257.000000 | 1074.000000 | 1217.000000 | 1091.000000 | 946.000000 | 796.000000 | 827.000000 | 880 | 674 | 781 | 742 | 699 | 754 | 655 | 674 | 678 | 600 | 541 | 572 | 566 | 588 |
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 | Text | No |
| 2005 | Text | No |
| 2004 | Text | 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 |