UVA BigData Admissions Overview

8/17/2019 UVA BigData Admissions Overview

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o n app"ication fee of E94.00.

• Admission Standards: https://dsi.virginia.edu/app"icants

o 90th Aercenti"e uantitative / 60th Aercenti"e


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SS 6016: Machine Dearning

,S 6002b: 8thics of Kig ,ata

,S 600Ib: Capstone AroJect

8"ective 1

• CS 6401: Specia" &opics in Computer Science

• C8 600: &raffic 3perations

• S&& 61I0: pp"ied Mu"tivariate Statistics

• S&& 4I0: 8%p"orator ,ata na"sis

• SS 6001: -ntroduction to Sstems 8ngineering

• SS 600I: 3ptimi*ation -

• SS 6004: Stochastic Sstems -

• CS 6740: ,atabase Sstems

• S&& 4170: pp"ied &ime Series

• S&& 4I0: Kootstrap and 3ther esamp"ing Methods

• M&H 4110: Stochastic Arocesses

•

8"ective 2

• Employment Prospects ! Statistics: https://dsi.virginia.edu/fre#uent"as+ed#uestions

o ;npub"ished

o

“&he ,ata Science -nstitute is deve"oping re"ationships )ith a number of emp"oers aboutthe MS,S program. 3ne specific outcome is that some of these companies )i"" be partners in the Capstone AroJects course$ )ith student teams having a chance to )or+ on proJects provided b partner companies. -n addition$ )e p"an to have regu"ar visits and presentations b potentia" emp"oers of MS,S graduates$ a"ong )ith opportunities for students to ta"+ )ith recruiters. s much as possib"e$ )e )i"" tr to he"p our studentsma+e connections )ith potentia" emp"oers that can "ead to Job opportunities.(

• Application "ee: E94

• #uition and "ees https://dsi.virginia.edu/tuitionandfees

https://dsi.virginia.edu/frequently-asked-questionshttps://dsi.virginia.edu/tuition-and-feeshttps://dsi.virginia.edu/frequently-asked-questionshttps://dsi.virginia.edu/tuition-and-fees


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o Summer 2014: E$766.00

o Ba"" 2014: E10$0I.00

o Spring 2016: E10$0I.00

o &ota": E2$42.00

• "A$: https://dsi.virginia.edu/fre#uent"as+ed#uestions

Virginia Common%ealth University

• Program Duration: &ota" graduate credit hours re#uired ?minimum@ 4 ?I0 if prere#uisite and a""

foundation courses are )aived@ L Starts ugust 2016

• Program Emphasis:

o “&he Master of Science in Kusiness )ith a ,ecision na"tics concentration provides

students )ith +no)"edge of #uantitative s+i""s and e%perience in ana"*ing prob"emsarising in a business environment. ,epending upon individua" student interests andadviser approva"$ the re#uired nuc"eus is supp"emented )ith re"evant e"ective coursesfrom )ithin the Schoo" of Kusiness or from outside departments.(

o http://business.vcu.edu/graduatestudies/msinbusiness)ithaconcentrationindecisionana"tics/

Program goal

&he Master of Science in Kusiness )ith a concentration in decision ana"tics provides students)ith +no)"edge of the statistica"$ mathematica" and scientific s+i""s and e%perience necessar touti"i*e advanced methods of data ana"sis for business decisionma+ing.

Student learning outcomes

•

fter e%amining a situation/prob"em$ students )i"" be ab"e to deve"op appropriatehpotheses a"ong )ith a method for testing them and be ab"e to dra) "ogica" conc"usionsand ma+e reasonab"e decisions based on avai"ab"e information.

• Students )i"" be ab"e to app" #uantitative procedures to obtain so"utions for rea")or"d

prob"ems.

• Students )i"" be ab"e to appropriate" address the target audience$ use proper

organi*ation$ create c"ear graphica" disp"as and e%press ideas )ith c"arit andgrammatica" correctness.

• Students )i"" be ab"e to sho) a c"ear understanding of the ethica" nature of the issue andrecommend appropriate action.

o http://business.vcu.edu/graduatestudies/msinbusiness)ithaconcentrationin

decisionana"tics/o http://bu""etin.vcu.edu/graduate/schoo"business/businessmsdecisionana"tics/

• Program Size:

https://dsi.virginia.edu/frequently-asked-questionshttp://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://bulletin.vcu.edu/graduate/school-business/business-ms-decision-analytics/https://dsi.virginia.edu/frequently-asked-questionshttp://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://business.vcu.edu/graduate-studies/ms-in-business-with-a-concentration-in-decision-analytics/http://bulletin.vcu.edu/graduate/school-business/business-ms-decision-analytics/


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o ;n"isted

• Application Deadlines:

o Summer 2016: March 1

o Ba"" 2016: 5u" 1

o Spring 2017: Gov 1

• Application Requirements:

o http://business.vcu.edu/media/schoo"of

business/images/graduate/2014pp"icationChec+"ist.pdf

"" ?traditiona"@ masters"eve" and doctora" business programs re#uire a M& or a 8 scoreto comp"ete an app"ication for admission. Aostbacca"aureate graduate certificate programs donot re#uire a M& nor 8 score to comp"ete an app"ication for admission.


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• Nhat do ou hope to gain$ both persona"" and professiona""$ from the


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SCM 4I0 Bundamenta"s of the Dega" 8nvironment of Kusiness

o e#uired Core Courses ?I@:

-GB3 66 Kusiness -nte""igenceSCM 6I2 Statistica" na"sisSCM 64 Management Science

o A"us three of the fo""o)ing additiona" re#uirements ?I@:

-GB3 610 na"sis and ,esign of ,atabase Sstems-GB3 61 ,ata MiningSCM 6I pp"ied Mu"tivariate MethodsSCM 69 na"tics for 3rgani*ationa" ,ecisionMa+ingSCM 66 Borecasting MethodsSCM 677 ua"it Management and Si% Sigma

o e#uired 8"ectives ?@:

Students se"ect e"ectives from the approved e"ective "ist ?be"o)@$ remaining courses fromthe above “additiona" re#uirements( "ist$ or other graduate courses that meet the

approva" of the facu"t advisor to count as e"ective courses.CC& 609 Manageria" ccounting Concepts8C3G 401 -ntroduction to 8conometrics8C3G 610 Manageria" 8conomics8C3G 612 8conometricsB-8 62 ea" 8state -nvestment na"sisB-8 6I4 -nvestments and Securit na"sis-GB3 611 ,ata eengineering-GB3 616 ,ata NarehousingMM& 62 Kusiness Ao"ic and StrategMM& 67 uided Stud in ManagementMR& 67I Mar+eting esearch

3A8 429 Stochastic Simu"ation3A8/S&& 6I6 Machine Dearning "gorithms3A8 6I ,ecision and is+ na"sisSCM 674 3perations Management

• Employment Prospects ! Statistics:

o ;npub"ished


• #uition and "ees http://accounting.vcu.edu/media/sem/studentaccounting/docs/pdf/14

16&uitionandBeesSheet.pdf o Bu""&ime ?14 Credits@: E6$I7.40 / Semester 4 Credit Hour ,egree E1$1I9.00

"A$:

o http://business.vcu.edu/graduatestudies/ho)toapp"/ho)toapp"totraditiona" programs/

o http://business.vcu.edu/media/schoo"of

business/images/graduate/2014pp"icationChec+"ist.pdf

#e)as A*+ University ,nline

• Program Duration: I6 Credit Hours L 2 ears if 7hrs per semester

http://accounting.vcu.edu/media/sem/student-accounting/docs/pdf/15-16TuitionandFeesSheet.pdfhttp://accounting.vcu.edu/media/sem/student-accounting/docs/pdf/15-16TuitionandFeesSheet.pdfhttp://business.vcu.edu/graduate-studies/how-to-apply/how-to-apply-to-traditional-programs/http://business.vcu.edu/graduate-studies/how-to-apply/how-to-apply-to-traditional-programs/http://business.vcu.edu/media/school-of-business/images/graduate/2015ApplicationChecklist.pdfhttp://business.vcu.edu/media/school-of-business/images/graduate/2015ApplicationChecklist.pdfhttp://business.vcu.edu/media/school-of-business/images/graduate/2015ApplicationChecklist.pdfhttp://accounting.vcu.edu/media/sem/student-accounting/docs/pdf/15-16TuitionandFeesSheet.pdfhttp://accounting.vcu.edu/media/sem/student-accounting/docs/pdf/15-16TuitionandFeesSheet.pdfhttp://business.vcu.edu/graduate-studies/how-to-apply/how-to-apply-to-traditional-programs/http://business.vcu.edu/graduate-studies/how-to-apply/how-to-apply-to-traditional-programs/http://business.vcu.edu/media/school-of-business/images/graduate/2015ApplicationChecklist.pdfhttp://business.vcu.edu/media/school-of-business/images/graduate/2015ApplicationChecklist.pdf


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• Program Emphasis: http://ana"tics.stat.tamu.edu/inde%.phpQhome

o &he aim of the five ?4@ semester$ parttime program is to provide comprehensive and

ba"anced training in statistica" mode"ing and predictive ana"sis to create data scientiststhat )i"" be thought"eaders and innovators.

o &he ,epartment of Statistics offers a parttime Master of Science in na"tics that offers

courses from the topran+ed Mas Kusiness Schoo" and is open to )or+ing professiona"s)ith strong #uantitative s+i""s$ for e%amp"e bache"ors degree ho"ders in the sciences$mathematics$ business and engineering fie"ds. S+i""s "earned are app"icab"e in uti"ities$manufacturing$ information$ hea"thcare$ natura" resources$ transportation$ )arehousing$finance and insurance$ and man other sectors

o

• Program Size:

o 60

• Application Deadlines:

o o""ing admission

• Application Requirements:

o http://cata"og.tamu.edu/graduate/co""egesschoo"s

interdiscip"inar/science/statistics/ana"ticsms/Qte%t• Admission Standards:

o http://cata"og.tamu.edu/graduate/co""egesschoo"s

interdiscip"inar/science/statistics/ana"ticsms/Qte%t o 8%tensive intervie) process

• Educational Prerequisites:

• http://ana"tics.stat.tamu.edu/fi"es/Curricu"umMSna"ticsArogram1014.pdf

• http://cata"og.tamu.edu/graduate/coursedescriptions/stat/

• 3ne statistics course comp"eted )ith a C or better is the prere#uisite for the degree. 8%amp"es of

acceptab"e courses at &e%as M ;niversit inc"ude S&& I01$ S&& I02 or S&& I0I or -GB3I0I or S&& 641 or e#uiva"ent

•Curricu"um:

Semester 1 ?Ba""@

• S&& 609 egression na"sis ?I hours@

• -SS 614 Kusiness ,ata Kase Sstems ?I hours@

•S&& 69 Aracticum ?1 hour@

Semester 2 ?Spring@

•S&& 6I6 ?-GB3 647@ Methods in Mu"tivariate na"sis ?I hours@

•MR& 624 Mar+eting 8ngineering ?I hours@


Semester I ?Summer@

•S&& 646 pp"ied na"tics ;sing SS 8nterprise Miner ?I hours@

•CC& 610 Binancia" ccounting ?I hours@


Semester ?Ba""@

•S&& 626 Methods in &ime Series na"sis ?I hours@

http://analytics.stat.tamu.edu/index.php#homehttp://analytics.stat.tamu.edu/index.php#homehttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://analytics.stat.tamu.edu/files/CurriculumMSAnalyticsProgram10915.pdfhttp://catalog.tamu.edu/graduate/course-descriptions/stat/http://catalog.tamu.edu/graduate/course-descriptions/stat/http://analytics.stat.tamu.edu/index.php#homehttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://catalog.tamu.edu/graduate/colleges-schools-interdisciplinary/science/statistics/analytics-ms/#texthttp://analytics.stat.tamu.edu/files/CurriculumMSAnalyticsProgram10915.pdfhttp://catalog.tamu.edu/graduate/course-descriptions/stat/


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•S&& 647 dvanced Arogramming ;sing SS ?I hours@

•S&& 694 ,irected Studies ?1 hour@

Semester 4 ?Spring@

•8"ective 1 ?I hours@

•

8"ective 2 ?I hours@•S&& 694 ,irected Studies ?2 hours

• Employment Prospects ! Statistics:


• #uition and "ees

"A$: http://ana"tics.stat.tamu.edu/fi"es/Curricu"umMSna"ticsArogram1014.pdf

,enver ;niversit
http://analytics.stat.tamu.edu/files/CurriculumMSAnalyticsProgram10915.pdfhttp://analytics.stat.tamu.edu/files/CurriculumMSAnalyticsProgram10915.pdf

UVA BigData Admissions Overview

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