MSFE - Fall 2023 Advising Town Hall (New Students)

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University of Toronto, Scarborough *

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MGAB02

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Industrial Engineering

Date

Oct 30, 2023

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pdf

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21

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VAFall 2023 d ċĊĨħ aċĊĨħÅÅÅÄĨħâââáċĊÅÅÅÄġĠ MĨħĂĂāċĊĨħììëììëŏċĊĨħĂĂā 'èèçvċĊŕċĊĨħĂĂā ĭwĨħ ^ÅÅÅÄġĠġĠ ~
1. Welcome & Introductions 2. 7ootcamps 3. Registration WBGuidelines 4. >)egree Requirements 5. Program Requirements 6. VAFall B-lectives 7. 8#7S 8#ourses / 8#ross Registration/ 8#ourse ±pprovals 8. VAFieldwork 9. Upcoming B-vents ±genda ± ~
±cademic Team ² 8#±RMB-N NWBG @ 8#N2229 ±cademic & Student ±ffairs ?irector KRISTB-N M±YNOR @ KM3244 ±cademic & Student ±ffairs ±ssociate ?irector 8#HRIS LB-B- @ 8#L4125 ±cademic & Student ±ffairs 9oordinator WINSOR Y±NWBG @ WY2396 ±cademic & Student ±ffairs ±dvisor 8#IN>)Y 7ORWBGB-N @ 8#73871 ±cademic & Student ±ffairs 9oordinator ~
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We’re a resource for you! We can support you with: 9ourse Registration Tracking degree progress Starting your 9 T/f T 9onnect you to campus resources and opportunities …& so much more! ³ ±cademic Office Hours Summer XPBroup fffice VHours- fpen Q&± ±ugust 7th @ 12 _ C;ST: Zoom Yink ±ugust 8th @ 10±_ C;ST: Zoom Yink WOall ‘23 fffice VHours (daily) ~
Professor ±li Hirsa ´ ~
IB-OR B-4799 Quantitative & 8#omputational 7ootcamp - Required IB-OR B-4502 Python for ±nalytics 7ootcamp - Strongly Recommended `fTC;: The department will add all students to the bootcamp 9ourseworks pages. Online Summer 7ootcamps µ ~
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8#ourse Modality & Registration ±ll classes are expected to be taught in-person, on-campus. Ɣ VAFall 2023 SSOL 8#ourse Registration : Registration begins ±ug. 7 at 9:30±M B-ST ±dd/>)rop Period: Sept. 5 - 15 Ɣ Last day to drop a course without financial penal ty is Sept. 15th, 2023. Includes waitlists Ɣ Registration 8#redit Limit (includes waitlists): 1st & 2nd Semester - 15 credits 3rd Semester (VAFall ‘24) - 12 credits If you would like to go above these credits, please meet with a member of our team. Ɣ ±dmission deposits are credited to your student account after Sept. 15th Ɣ VAFor course descriptions, refer to the >)irectory of 8#lasses Ɣ VAFor other important deadlines/dates, refer to the ±cademic 8#alendar ~
1. No Pass/VAFail grades, No R grade in credit bearing courses 2. Must achieve at least a 7- (2.67) in 8#ore courses and overall WBGP± 3. ±ll courses must be completed at 8#olumbia. 4. B-NWBGI B-4000 pass grade is a requirement 5. Satisfy (18) credits minimum from IB-OR and your Program requirements. 8#ourse codes include: IB-OR, 8#SOR, OR8#S and IB-MB- 6. WBGood academic standing; uphold academic and professional integrity Overview of >)egree Requirements ! ~
8#ORB- RB-QUIRB-MB-NTS "
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Ɣ IB-OR B-4007 Optimization Models (VAF23) Ɣ IB-OR B-4701 Stochastic Models (VAF23) Ɣ IB-OR B-4706 VAFoundations of VAFB- (VAF23) Ɣ IB-OR B-4703 Monte 8#arlo Simulation (Sp24) Ɣ IB-OR B-4707 8#ontinuous Time Models (Sp24) Ɣ IB-OR B-4709 Statistical ±nalysis and Time Series (Sp24) IB-OR B-4798 VAFB- Seminar Series (VAF23 & Sp24) IB-OR B-4799 MSVAFB- Quantitative & 8#omputational 7ootcamp (Su23) B-NWBGI B-4000 Professional >)evelopment & Leadership (VAF23 & Sp24) ±t least 6 courses (18 credits) must be in the IB-OR department (IB-OR, IB-MB-, 8#SOR, or OR8#S designation) MSVAFB- 8#ore msfe.ieor.columbia.edu/ ¶·
MSVAFB- (12 credits) ¶¶ Register for: 1. IB-OR B-4007 Optimization Models and Methods 2. IB-OR B-4701 Stochastic Models 3. IB-OR B-4706 VAFoundations of VAFB- 4. IB-OR B-4798 VAFB- Seminar Series (0 credit) 5. 8#hoose (1) VAFB- B-lective (3 credits) The >)epartment and P>)L will register you into the below courses: IB-OR B-4799 MSVAFB- Quantitative & 8#omputational 7ootcamp (0pts) B-NWBGI B-4000 Professional >)evelopment & Leadership (0pts)
B-LB-8#TIVB-S ¶±
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VAFall Pre-±pproved B-lectives &`UT[ZXWYXV 1[Z^SRSVXW &`UT[ZXWYXV EZOZY]RV 1`UTZYVYX IEORE³³·± Corporate Finance¸ Accounting ¹ Investment Banking May not take both IEOR E³³·± and IEOR E³³·² IEORE³³·² Quantitative Corporate Finance May not take both IEOR E³³·± and IEOR E³³·² IEORE³´·· Applications Programming for FE Priority to MSFE IEORE³´±´ Machine Learning FE ¹ OR IEORE³´³· Data Mining for Engineers IEORE³´ " Modern Recommendation Systems IEORE³µ·± Quantitative Risk Management Priority to MSFE IEORE³ ±² FE for Environmental¸ Social ¹ Corporate Governance Finance ¶º´ credits$ A»Term ¼First Half½ IEORE³ ±³ Term Structures ¹ Credit Models Priority to MSFE IEORE³ ±! Alternative Investments ¶º´ credits$ B»term ¼Second Half½ IEORE³ ²¶ Credit Risk Modeling and Credit Derivatives IEORE³ ²´ Structured ¹ Hybrid Products Priority to MSFE IEORE³ ³¶ Programing for Financial Engineering IEORE³ ³± Deep Learning For OR ¹ FE IEORE³ ³´ Applied Financial Risk Management ORCSE³´±" Reinforcement Learning
>)octoral Level IB-OR 8#ourses &`UT[ZXWYXV 1[Z^SRSVXW &`UT[ZXWYXV EZOZY]RV 1`UTZYVYX IEOREµµ¶² Optimization I ³º´ credits IEOREµ ¶¶ Stochastic Modelling I ³º´ credits IEOREµµ·! Integer Programming IEOREµµ¶ Machine Learning ¹ High»Dimensional Data Analysis in OR IEORE!¶··»··± Reinforcement Learning in Continuous Time and Space¸ with Applications IEORE!¶··»··² Foundations of Data Privacy IEORE!¶··»··³ Computational Stochastic Modeling IEORE!¶··»··´ Asymptotic Analysis of Stochastic Service Systems ±ll doctoral level IB-OR courses require faculty approval
8#oncentrations Should you like to specialize in certain area, you have the option to follow a concentration. Ɣ MSVAFB- 8#oncentrations : ±sset Management 8#omputation & Programming 8#omputational VAFinance/Trading Systems >)erivatives VAFinances & B-conomics VAFinancial Technology Machine Learning for VAFinancial B-ngineering 8#oncentrations are optional .
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8#7S cross-registration instructions (8#7S approves a maximum of 1 course per term via cross-reg) Pre-approved 8#7S course listing (“B-lective” in the MSVAFB- column) 8#7S B-xemption B-xams 8#ontact: exemptions@gsb.columbia.edu 8#7S 8#ross Registration 8#ontact: crossreg@gsb.columbia.edu. 7usiness School Registration ¶µ #
8#ross Registration Outside of IB-OR IB-OR students may “cross-register” for courses in other departments such as Statistics, 8#omputer Science, Mathematics, 8#ivil B-ngineering, or 8#7S: ±vailability: the list of classes available for cross-registration is determined by the host department, not IB-OR. Please reach out to the corresponding office with questions about specific classes, timeline, and more. Ɣ SSOL/Vergil: If you cannot add a non-IB-OR class on SSOL/Vergil, it is likely unavailable to you for cross-registration. 8#ourse ±pproval: you must receive faculty approval for a cross-registered course to count towards your degree. 8#ertain 8#7S courses are already pre-approved. #
¶! B-nrollment in a course not pre-approved for your program requires approval from your faculty advisor & the IB-OR >)epartment. To seek approval: 1. VAFaculty ±dvisor ±pproval - B-mail your faculty advisor with the course details & an explanation of why you wish to take the course (faculty advisor details are on SSOL in ‘academic profile’). 2. Submit Your Request - If your faculty advisor approves, save their email for your records and submit the 8#ourse ±pproval Request VAForm . 3. IB-OR >)epartment ±pproval - The department will confirm via email your course approval. Reminder, the following courses are never approved: Programming courses from 8#7S, all QMSS courses, all SPS courses (±8#TU, ±P±N, 7USI, B-RM8#, VAFIN8#, SUM±, TMWBGT, etc), and undergraduate courses (1000-3000 level courses.) 8#ourse ±pprovals #
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C;arn academic credit for your internship via YKC;fR 4999 - WOieldwork and 9 T YKnformation & ±pplication for WOieldwork/9 T can be found here: bit.ly/YKC;fRC;4999 _ust register for IB-OR 4999 VAFieldwork (1, 1.5, or 2 credits) 1 / 1.5 during WOall and Spring, 2 units Summer only _aximum of 3 credits total over program duration Up to 20 hrs/week during Spring and WOall, full time (20+hrs/week) during Summer YKC;fR 4999 units based on total hours worked over internship duration 1 credit = 100 hours | 1.5 credits = 150 hours | 2.0 credits = 200 hours ¶" VAFieldwork/8#PT #
±· Upcoming IB-OR B-vents >)epartment Kick-Off : Thursday ±ugust 24th (required) SB-±S Welcome >)ay : VAFriday ±ugust 25th Ɣ Networking >)inner Ɣ ±lumni Panels Ɣ 1st & 2nd Year Social Ɣ VAFaculty Showcase/Mixer Ɣ …. & more! #
ieor.columbia.edu ±cademic 8#areer Placement info@ieor.columbia.edu career@ieor.columbia.edu B-mail us Questions? @ 8#olumbiaIB-OR ±¶
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