Ba ithuta eng ho tse khethehileng tsa Science Science liunivesithing tsa kantle ho naha?

"Ebang ke k'hamphani ea litšebeletso tsa lichelete e batlang ho fokotsa kotsi kapa morekisi ea lekang ho bolela boitšoaro ba bareki, AI le boemo ba ho ithuta ka mochine bo thehiloe holim'a leano le sebetsang la data," ho boletse Ryohei Fujimaki, mothehi oa dotData le rasaense oa ho etsa lipatlisiso e monyenyane ka ho fetisisa. nalane ea 119 ea lilemo tsa IT corporation NEC.

Ha tlhokeho e ntse e hola, palo ea mananeo a Saense ea Data liunivesithing e ntse e eketseha. Ke li-module life tseo liithuti li ithutang tsona, ke menyetla efe ea li-visa e fanoang bakeng sa baithuti ba tsoang univesithing - re tla e sheba ka tlase.

Univesithi ea Radbound, Holland

Ba ithuta eng ho tse khethehileng tsa Science Science liunivesithing tsa kantle ho naha?

Boima ba thupelo ea master ke li-credits tse 120, lilemo tse peli tsa thuto. Selemong sa pele sa thuto e khethehileng, liithuti li nka lithuto tse hlano tse hlokahalang (Ho Ithuta ka Mochine ka Boikoetliso, ho Fumana Boitsebiso, Li-Network tsa Bayesian, Semina ea Lipatlisiso ho Saense ea Boitsebiso, Filosofi le Melao ea Boitšoaro bakeng sa Computing le Information Science). Lenaneo le setseng le na le likhetho, li-internship, le mosebetsi oa dissertation. Lithuto tse ikhethileng li kenyelletsa: Lits'ebetso tsa Bohlale ho Litšoantšo tsa Bongaka, Ho Ithuta ka Mechini ho Particle Physics le Astronomy, Law in Cyberspace le tse ling.

Li-Internship li etsahala lik'hamphaning tse nyane le tse mahareng tsa lehae, mekhatlo ea machabeng (ING Bank, Philips, ASML, Capgemini kapa Booking.com), mekhatlo ea mmuso kapa lefapheng lefe kapa lefe moo ba sebetsang ka data e kholo (astronomy, particle physics, neurobiology, bioinformatics ) .

Maemo a Visa bakeng sa baithuti: Ka mor'a ho fumana mangolo, liithuti li ka lula naheng ho fihlela likhoeli tse 12 ho batla mosebetsi.

Univesithi ea Simon Fraser, Canada

Data Science ke lenaneo la undergraduate univesithing. Univesithi e khothalletsa hore liithuti tse nang le thahasello ea ho fumana thuto ea morao-rao li nahane ka lenaneo la setsebi - Computer Science (Big Data). E nts'etsapele litsebi tsa tlhahlobo ea data, litsebi tsa meralo ea data le liofisiri tse ka sehloohong tsa data tse khonang ho fana ka lintlha tse susumetsang ho etsa liqeto tsa maano.

Koetliso e nka lisemestara tse 4 (kapa likhoeli tsa 16), ho kenyelletsa le koetliso e lefuoang ea likhoeli tse 4. Baithuti bohle ba nka lithuto tsa mantlha tsa ho Ithuta ka Mochini, Moralo le Analysis ea algorithms for Big Data, Data Mining, Big Data Systems, Natural Language Processing. Li-Labs tse tlamang li thusa ho ithuta ka matsoho mefuta e fapaneng le li-algorithms tse amanang le data e kholo. Baithuti ba nka lithuto tse peli tsa Programming bakeng sa lab ea Big Data mme ba fumana monyetla oa ho fihlella Setsi sa Big Data sa SFU, se ileng sa buloa ka 2017 ho kopanya litsebi le lik'hamphani tse nang le thahasello ea ho ntšetsa pele indasteri ena.

Maemo a Visa bakeng sa baithuti: Ho fumana lengolo la tumello ea mosebetsi oa kamora ho fuoa mangolo, o tlameha ho ba moithuti oa nako e tletseng univesithing efe kapa efe ea sechaba kapa kolecheng bonyane likhoeli tse 8 (lihora tse 900) mme o phethe lenaneo la hau ka katleho. Haeba thupelo e nkile lilemo tse fetang 2, joale tumello ea ho sebetsa ka mor'a ho fumana mangolo e tla fuoa lilemo tse 3, haeba e le tlase, nako ea ho netefatsa e tla lekana le nako ea thupelo.

Univesithi ea Vermont, USA

Ba ithuta eng ho tse khethehileng tsa Science Science liunivesithing tsa kantle ho naha?

Master's in Complex Systems le Data Science ke lenaneo la lilemo tse peli moo baithuti ba ithutang mekhoa ea ho bokella, ho boloka le ho lokisa lintlha; mekhoa ea pono e tsepamisitseng maikutlo ho theheng lits'ebetso tsa boleng bo holimo tsa marang-rang. Ba sheba mekhoa e rarahaneng le likamano, mohlala, ho sebelisa mochine oa ho ithuta le ho sebetsa morafong oa data, joalo-joalo.

Li-modules tsa mantlha (likoloto tse 12) li kenyelletsa lithuto tse joalo ka Melao-motheo ea Litsamaiso tse Felletseng, Modeling Complex Systems, QR: Data Science, Data Science II.

Maemo a Visa bakeng sa baithuti: Ba ka kena thupelong e lefuoang ea Optional Practical Training (OPT) ka boikhethelo ba bona kamora ho fumana lengolo, ha e le hantle, ba sebetsa ka visa ea ho ithuta. Tumello ea mosebetsi tlas'a OPT e lekanyelitsoe ho likhoeli tse 12. Empa ho bacha ba nang le STEM e kholo, nako ena e ekelitsoe ho 36. Litaba tse monate ke hore ka mor'a nako ena, u ka khutlela univesithing, mohlala, sekolo sa masters kapa graduate, ho ithuta selemo kapa tse peli le ho etsa kopo. bakeng sa OPT hape. Khetho e 'ngoe ea ho lula naheng ke ho etsa kopo ea visa ea mosebetsi ea H-1B haeba u na le k'hamphani ea mohiri.

Univesithi ea Cork, Ireland

Dikirii ya master ya ngwaga e le nngwe ya Saense ya Dintlha le Tlhatlhobo ke dipoelo tsa tirisanommogo magareng ga mafapha a saense ya khomputara le dipalopalo. E fana ka temohisiso ka melao-motheo ea motheo ea tšimo ena e hōlang ka potlako. Baithuti ba tlameha ho tlatsa likalimo tse 90 ka motsoako oa li-module tsa mantlha (Meepo ea data, ho Ithuta ka botebo, Metheo ea Lipalopalo tsa Lipalopalo, Mekhoa ea Kakaretso ea Linear Modeling, Theknoloji ea Database), khetho (Tlaleho, Polokelo ea Boitsebiso le ho Fumana, Ho Ithuta ka Mochini le Litlhahlobo tsa Lipalopalo, Scalable Computing. bakeng sa Data Analytics le tse ling) le dissertations. Li-module tsohle tse khethiloeng li amoheloa ke mohlokomeli oa lenaneo.

Liithuti tsa 2017-2018 li ne li hiriloe ke lik'hamphani tse kang Amazon, Apple, Bank of Ireland, Dell, Digital Turbine Asia Pacific, Dell EMC, Enterprise Ireland, Ericsson, IBM, Intel, Pilz, PWC.

Maemo a Visa bakeng sa baithuti: Sekema sa Boraro ba Kabo ea Mangolo se ile sa ntlafatsoa haholo-holo bakeng sa bacha ba tsoang ka ntle ho European Union. Liithuti tsohle tsa liunivesithi tse ngolisitsoeng ka molao li fumana tumello ea ho lula naheng eo likhoeli tse 12, 'me ba qetileng lithuto tsa masters le tsa postgraduate ba ka eketsa visa ea bona bakeng sa likhoeli tse ling tse 12.

Univesithi ea Portsmouth, UK

Ba ithuta eng ho tse khethehileng tsa Science Science liunivesithing tsa kantle ho naha?

Kamora ho qeta lengolo la Master in Data Analytics, moithuti o tla hlomelloa ka lisebelisoa tsa merafo ea data le tsebo ea ho li sebelisa ho etsa lipatlisiso mafapheng a cosmology, tlhokomelo ea bophelo bo botle le cybersecurity. Nako ea ho ithuta ke likhoeli tse 12, o hloka ho fumana likalimo tse 180. Li-module tsa motheo: Applied Data and Text Analytics, Big Data Application, Business Intelligence, Data Management, Master's Engineering kapa Study Project.

Bakeng sa ba ka ratang ho kena thupelong hang-hang ka bokhabane ba bona univesithing, ho na le lenaneo la master le nang le boiphihlelo ba profeshenale. E nka likhoeli tse 18, 'me ho eketsoa likhoeli tse ling tsa 6 lithutong. Hape le monyetla oa ho sebelisa lisebelisoa tsa tlhahlobo ea data ho mahlale a macha le ho qala ho sebelisa SAP Next Gen Lab.

Maemo a Visa bakeng sa baithuti: U ka lula naheng ho fihlela lilemo tse 2 kamora ho qeta lithuto tsa hau ho fumana mohiri ea nang le laesense ea motšehetsi

Source: www.habr.com

Eketsa ka tlhaloso