Ke nānā nei ʻoe i ka hoʻonui ʻana i kāu hoʻonaʻauao ma Data Science ma o ka loaʻa ʻana o kahi PhD i kekahi o nā kulanui a i ʻole nā kula ma Australia?
Makemake ʻoe e ʻike inā pono ka loaʻa ʻana o kahi PhD i ka ʻepekema Data?
Makemake ʻoe e ʻike inā he aʻo maikaʻi ʻo Australia ma kahi ʻāina ʻē no ka ʻepekema data?
He kahua ʻepekema ʻIkepili e hoʻopuka ana i ka helu nui loa nā hana waiwai i ka honua i kēia manawa.
A ʻoi aku ka nui o nā hana, ʻo ia ka hoʻonui ʻana i ka ʻike e hana ai i nā hana i hāʻawi ʻia e nā hoʻonui hana.
Ua alakaʻi kēia i ka pono o nā ʻepekema Data e hoʻomaka e hele i kahi pae PhD.
ʻO ka ʻike ʻana i ke koʻikoʻi o ke kēkelē PhD i kēlā me kēia ʻano hana, ʻaʻole kūpono ia e makemake i hoʻokahi no ʻoe iho ma ke ʻano he ʻepekema data.
ʻO ka mea mua, ʻo kahi PhD degree ma Data Science ʻo ia ka ʻike hou aku, ʻoi aku ka nui o nā manawa hana a ʻoiaʻiʻo hoʻi he hoʻohui nui i kāu uku mahina a lawelawe paha.
No laila, ke kiʻi ʻana i kahi degere ma Australia kahi i loaʻa ai kekahi o nā kulanui maikaʻi loa ʻaʻole ia he manaʻo maikaʻi ʻole.
No laila, inā ʻoe e noʻonoʻo nei inā pono kahi PhD i ka ʻIke ʻIkepili, he ʻae nui kēlā i loko o ka ʻeke.
Ma kēia alakaʻi, ua hele mai mākou me kahi papa inoa o nā kulanui ʻehiku maikaʻi loa o Australia no kahi PhD i nā papahana ʻepekema Data.
Categorically, ua wehewehe mākou i nā mea e pono ai ʻoe e ʻike e pili ana i kēia mau kulanui a me nā koi e pono ai ʻoe e komo.
Inā ʻo ia ka mea āu e manaʻo ai e ʻike, ʻo kēia kāu ʻatikala hoʻokahi.
Welina mai ma luna o ka moku, Scholar!!!
E heluhelu pū nō hoʻi: ʻO 25 mau kula haʻahaʻa loa ma Australia no nā haumāna International
Pono anei kahi PhD no ka ʻepekema Data?
ʻAʻole ia e uhaʻi i kāu mau ʻōpū akā hilinaʻi iaʻu he PhD i ka ʻIke ʻIkepili ʻaʻole pono ia.
Inā makemake ʻoe e lilo i ʻepekema data a i ʻole ʻenekinia aʻo mīkini / mea noiʻi, he hana maikaʻi paha kahi PhD.
Eia kekahi, hiki i ke kēkelē laepua a me ka nui o ka hoʻomaʻamaʻa ʻana ke lawa no ke kēkelē PhD.
Eia nō naʻe, inā makemake ʻoe e kiʻi i kahi PhD no ke kēkelē, ʻo ka loaʻa ʻana mai kekahi o nā kulanui o Australia e hāʻawi ana i nā papahana ʻIke ʻIkepili he manaʻo maikaʻi loa ia.
Eia kekahi, e hoʻomanaʻo i kahi PhD "pololei" mai ka luna "pololei" ka mea e hoʻololi ai.
He manuahi ka PhD ma Australia?
Inā he haumāna Australia ʻoe a i ʻole ka mea paʻa visa Australian paʻa, a i ʻole he kamaʻāina New Zealand, ʻaʻole pono ʻoe e uku i nā uku haʻawina no kāu kekelē noiʻi.
No ka leʻaleʻa i kēia, pono ʻoe e hoʻopau i kāu kekelē i loko o ka lōʻihi o 4 mau makahiki piha no nā haumāna kauka.
A i ʻole, e uku ʻoe iā ʻoe iho i kāu pili pili kālā.
Maikaʻi anei ʻo Australia no ka ʻepekema ʻikepili?
ʻAe.
He wahi maikaʻi ʻo Australia e loaʻa ai kahi PhD degree ma Data Science no ka mea he nui nā kulanui o Australia e hāʻawi ana i nā papahana.
Ma lalo ʻoe e ʻike ai i kahi papa inoa o ka 7 kiʻekiʻe.
ʻO ka ʻoiaʻiʻo, ʻo ke Kulanui o Melbourne ka helu ʻekahi ma Australia no Computer Science a me Heluhelu.
E heluhelu pū nō hoʻi: ʻO ke Kulanui o Melbourne Scholarships no nā haumāna International
ʻO 7 mau kulanui e hāʻawi ana i ka PhD i ka ʻepekema Data ma Australia
Eia ka papa inoa o nā kulanui o Australia e hāʻawi ana i ka PhD i ka ʻIke ʻIke;
# 1. Kālana Keʻāina
- Location: Melbourne
- Makahiki o ka hoʻokumu ʻana: 1958
- Ka helu o nā haumāna: 78,000
- Ka lōʻihi o ka papahana: 4 makahiki piha manawa, 8 makahiki hapa manawa
ʻO Monash University kekahi o nā kula nui ma ka honua.
ʻAʻohe kūlana o ke kulanui honua ʻaʻole i hoʻokumu ʻia ʻo Monash University ma waena o ka 100 kiʻekiʻe.
ʻO ia kekahi o nā kulanui noiʻi lehulehu i loaʻa kekahi o nā heluna haumāna nui loa ma Australia.
Ke aʻo nei kēia mau haumāna i kēlā me kēia o kāna mau kahua hoʻomoana nui ʻelua ma ke kula ʻo Clayton a me Caulfield.
Aia nā pā kula ʻē aʻe ma ka mokuʻāina ʻo Victoria.
Ma Monash, loaʻa i nā haumāna nā haumāna haʻahaʻa a me nā haumāna puka puka he mau koho, ʻoiaʻiʻo, nā koho e koho ai, ʻIke ʻIke ʻIke.
ʻO ke kulanui ʻo Monash kekahi o nā kulanui kahi e hiki ai i nā haumāna ke loaʻa kahi PhD i ka ʻIke ʻIkepili ma Australia.
ʻAʻole hiki ke hana i kēlā mea.
ʻO ka mea mua, pono nā haumāna e hele mai me kahi pilikia noiʻi i loko o ke kula.
Inā ʻae ʻia kēia e ka Faculty of Information Technology, hiki i ka haumāna ke hele i mua a noiʻi kūʻokoʻa iā ia.
ʻOiai i kēlā, e hana nā haumāna i ka papa hana koi e uhi ana i ka hoʻomaʻamaʻa holomua i nā ʻano noiʻi IT.
# 2. Ke Kula 'o Sydney
- Location: Kaona
- Makahiki o ka hoʻokumu ʻana: 1850
- Ka helu o nā haumāna: 61,000
- Ka lōʻihi o ka Polokalamu: 3 makahiki piha manawa
Ke makemake ʻoe e helu i ka helu o nā kula kahiko loa ma Australia, ʻo ke Kulanui o Sydney ka helu 1.
ʻAʻole ʻo ia wale nō ka mea kahiko akā ʻo kekahi o nā mea nui loa, e noho ana ma kahi o 178 mau ʻeka o ka ʻāina ma ke komohana komohana o Sydney ʻo Camperdown a me Darlington.
Ma ke ʻano he ʻoihana kaulana me ka moʻolelo o ka maikaʻi, ʻo ke Kulanui o Sydney ka helu 1 ma ka Land Down Under ma ka QS World Rankings.
Aia nō ia i ka 5th ma ka honua no ka hana puka puka.
Ma o kāna Faculty of Engineering, hiki i nā haumāna ke aʻo a loaʻa ke kēkelē PhD i ka ʻIke ʻIke.
Eia nō naʻe, pono nā haumāna e hiki mai ana e hoʻouna i kahi thesis i hāʻawi mua ʻia i ke kahua o Data Science.
Inā ʻae ʻia, hiki i ka haumāna ke komo i ʻelua mau kikowaena noiʻi: UBTECH Sydney Artificial Intelligence Center a me Center for Distributed and High-Performance Computing.
ʻO kēia kahi o nā kulanui ma Australia kahi e hiki ai iā ʻoe ke loaʻa kahi PhD i ka ʻepekema Data.
Eia naʻe, e ʻike ʻoe aia wale nō ia i nā haumāna piha.
E heluhelu pū nō hoʻi: ʻO 20 mau kula kiʻekiʻe loa ma Sydney Australia (ke aupuni a me ka pilikino)
# 3. Ke Kulanui RMIT
- Location: Melbourne
- Makahiki o ka hoʻokumu ʻana: 1887
- Ka helu o nā haumāna: 87,000
- Ka lōʻihi o ka Polokalamu: 3-4 mau makahiki piha manawa, 6-8 makahiki hapa-manawa
ʻO RMIT University kahi kulanui noiʻi lehulehu i hoʻokumu mua ʻia ma ke kula pō ma 1887.
He 100 makahiki a ʻoi aʻe i ka loaʻa ʻana o kona kūlana a i ʻole ke kūlana o ke kulanui piha.
Ma hope o ka QS World Rankings, ʻo RMIT University ka lua ma Australia a me 15th ma ka honua no ka hana puka puka.
ʻO kekahi o nā papahana puka koʻikoʻi ma RMIT he PhD i ka papahana ʻepekema kamepiula, Data Science a me Analytics.
No laila, inā he haumāna PhD ʻoe e ʻimi nei e aʻo i kekahi o nā kulanui ma Australia, pono ʻoe e hana iā RMIT inā kūpono kā lākou haʻawina kula i kāu mau pono hoʻonaʻauao.
ʻO ka mea mua, pono ʻoe e hoʻouna i kahi kumuhana ma kahi wahi noiʻi.
Inā ʻae ʻia ʻoe, ʻae ʻia ʻoe e hoʻohana i ka RMIT Data Analytics Lab ma ke ʻano he incubator noiʻi.
# 4. University of Melbourne
- Location: Melbourne
- Makahiki o ka hoʻokumu ʻana: 1853
- Ka helu o nā haumāna: 50,000
- Ka lōʻihi o ka Polokalamu: 4 makahiki piha manawa, 8 makahiki hapa manawa
Aia ke kahua kula mua o ke Kulanui o Melbourne ma ke kula ʻo Melbourne o Parkville.
Eia nō naʻe, ua hoʻonohonoho ʻia kāna mau pā kula ma ka mokuʻāina ʻo Victoria.
Ma hope o nā moʻolelo kūlana o Times Higher Education World University Rankings 2019, ua koho ʻia ke Kulanui o Melbourne ma ke kulanui maikaʻi loa ma Australia a me 32nd ma ka honua.
He mea hoihoi nui kēia no nā haumāna honua e hana ana i ka helu haumāna haole ma kahi o 36% o ka heluna haumāna.
Ma o ka papahana UniMelb's Doctor of Philosophy (Science), hiki i nā haumāna ke loea i ka ʻIke ʻIke.
Ke aʻo nei nā haumāna PhD Science Science a pau ma ka pā kula ʻo Parkville.
ʻAʻole pili ka papahana ʻepekema data UniMelb PhD i kekahi papa hana koi.
Eia nō naʻe, ʻae ʻia nā haumāna e lawe i nā kumuhana haʻawina inā noi lākou.
# 5. Ke Kulanui ʻAmelika Hui Pū ʻIa
- Location: Kaona
- Makahiki o ka hoʻokumu ʻana: 1988
- Ka helu o na haumana: 46,000
- Ka lōʻihi o ka Polokalamu: 4 makahiki piha manawa, 8 makahiki hapa manawa
Ua ʻike ʻia ke University of Technology Sydney (UTS) ʻo ia kekahi o nā kula ʻōpio 10 kiʻekiʻe ma ka honua e QS World Rankings.
Hiki iā ʻoe ke ʻike i kona kahua kula nui aia ma Sydney suburb o Ultimo.
ʻOiai ʻaʻole nui ka heluna haumāna ma ka ʻaoʻao kiʻekiʻe, helu nā haumāna honua ma kahi o 15,000.
Ma UTS, hiki i nā haumāna puka ke ʻimi i ke kēkelē PhD ma Analytics and Data Science ma lalo o ka Faculty of Transdisciplinary Innovation.
Lawe ʻia nā degere ʻepekema data UTS e ka thesis.
Pono kāu hana ma waena o 80,000 a 100,000 mau huaʻōlelo.
Hoʻonohonoho ʻia kēia papahana i ʻekolu mau ʻāpana.
ʻO ka mua, kūkākūkā nā haumāna a me kā lākou luna i kahi hoʻolālā haʻawina e hōʻike ana i nā kikoʻī e pili ana i ke ʻano o ke kākoʻo e koi ai ka haumāna.
ʻO ka lua, e hoʻomohala nā haumāna puka i kā lākou mau papahana noiʻi.
A ʻo ka hope, e hana nā haumāna, hoʻomākaukau a hoʻouna i ka thesis.
ʻO kēia haʻawina koʻikoʻi e lilo ia i hoʻokahi o nā kulanui ma Australia i kūpono no kahi PhD i ka ʻIke ʻIkepili.
E heluhelu pū nō hoʻi: ʻO 7 mau kula hānai maikaʻi loa ma Melbourne Australia
# 6. Ke Kula Kahuna o Queensland
- Location: St Lucia, Queensland
- Makahiki o ka hoʻokumu ʻana: 1909
- Ka helu o na haumana: 53,000
- Ka lōʻihi o ka Polokalamu: ʻO 3-4 mau makahiki piha
Aia i ke Kulanui o Queensland (UQ) kona kahua kula nui ma kapa o ka muliwai Brisbane e noho ana ma mua o 281 mau ʻeka ʻāina.
Ma hope o nā kūlana kulanui o ka honua, he wahi ko ke Kulanui o Queensland ma waena o nā kula kiʻekiʻe 50 o ka honua.
ʻO 18,000 haumāna ma waena o ka heluna haumāna he mau haumāna haole.
Hiki i kekahi haumāna puka ke loaʻa ke kēkelē PhD ma ke kahua o ka ʻEpekema ʻIkepili ma lalo o ke Kula ʻOihana ʻIke ʻIke a me ʻEnekinia UQ o UQ (ITEE).
Inā ʻae ʻia ʻoe i ke Kulanui o Queensland, mālama ʻia kēlā me kēia o nā haumāna PhD e ʻelua a ʻoi aku paha nā luna hoʻomalu ma ka papahana.
E ʻoluʻolu e hoʻomaopopo ʻaʻohe papahana hapa manawa no kēia papa ma ke Kulanui o Queensland.
#7. Ke Kulanui o Western Australia
- Location: Perth
- Makahiki o ka hoʻokumu ʻana: 1911
- Ka helu o na haumana: 24,000
- Ka lōʻihi o ka Polokalamu: 4 makahiki piha manawa, 8 makahiki hapa manawa
ʻO ke Kulanui o Western Australia ka 6th kulanui i hoʻokumu ʻia ma Australia: ka ʻāina o nā kangaroos.
Aia kona kahua kula nui ma ke kaona o Crawley ma Perth, ke kapikala o Western Australia.
Eia nō naʻe, ʻelua mau pā kula ʻē aʻe ma ke kaona ʻo Perth o Claremont a ma ke kūlanakauhale awa o Albany.
Ma ke ʻano he kulanui noiʻi lehulehu o ka hanohano, ua loaʻa i ke Kulanui o Western Australia ka 86th wahi ma ka QS World University Rankings 2020.
E like me nā kulanui o Australia i ʻōlelo ʻia ma luna, ʻo UWA kekahi o nā kulanui e hāʻawi ana i kahi PhD i ka ʻIke ʻIkepili ma Australia.
Hāʻawi ʻo UWA i kēia papahana ma o kahi papahana noiʻi kūʻokoʻa.
Eia kekahi, hiki i nā haumāna ke hana i kēia papahana ma hope o ka ʻae like ʻana o kahi kumuhana noiʻi e ka haumāna, ko lākou luna, ke poʻo o ka Faculty of Engineering and Mathematics Science, a me ka Papa o ke kula noiʻi puka.
Hiki iā ʻoe ke hana i kahi haʻawina holoʻokoʻa a hapa-manawa ma muli o kāu hoʻolālā a me kāu papa hana.
E heluhelu pū nō hoʻi: ʻO 21 ʻO Ke Kula ʻOihana Hoʻolālā Loa ma Australia
Nā nīnau i nīnau pinepine ʻia e pili ana i nā kulanui ma Australia me ka PhD i ka ʻIke ʻIke
Aia ma lalo iho kekahi o nā nīnau a nā haumāna e nīnau ai e pili ana i ka papa inoa o nā kulanui ma Australia e hāʻawi ana i nā papahana koʻikoʻi ma ka ʻIke ʻIkepili ma ka pae o ka postdoctoral.
Ua uku ʻia nā haumāna PhD ma Australia?
Hāʻawi ke Aupuni Australia i kahi stipend i nā haumāna PhD ʻoiai lākou e noiʻi nei.
ʻO nā haumāna i loaʻa kēia manawa kūpono ka poʻe i kūpono i ka noiʻi no ka RTP.
Eia kekahi, pono ʻoe e hele mai i kahi ʻāina kūpono a i ʻole e manaʻo ʻia he haumāna haumāna.
Pehea ka nui o ka hana a nā ʻepekema ʻikepili PhD?
Loaʻa i nā ʻepekema ʻikepili me kahi PhD ma kahi o $102,000 aʻo ka poʻe paʻa i ke kēkelē kumu loaʻa $92,500.
Mai ka noiʻi ʻana, loaʻa i nā ʻepekema data he 36% kiʻekiʻe ma mua o nā ʻoihana ʻikepili wānana ʻē aʻe.
hōʻuluʻulu manaʻo
Manaʻo mākou ua ʻike ʻoe i kēia ʻāpana kūpono i kou manawa.
E kipa i ka pūnaewele kula no nā kikoʻī e pili ana i nā koi e pili ai i kāu koho ʻana o ke kulanui.
Waiho i ka Reply