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MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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Page 1: MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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MSc BEHAVIOURAL ECONOMICS2015-2016

School of Economics and FinanceQueen Mary, University of London

Page 2: MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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Academic Staff

Prof. Sujoy Mukerji(Head of School)

Dr. Asen Ivanov(Programme Director)

You will be assigned TA as adviser

Page 3: MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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Admin Staff

Sarah Riley(Finance MSc’s Programme Manager)

Stanley Babukutty(PG Student Support Manager)

Raj Sidhu (Careers Consultant)Lipsheon Jhand (Internship Coordinator)

Page 4: MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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Useful Resources

• QMPlus• PG Student Handbook– available in PG shared area on QMPlus

Page 5: MSc BEHAVIOURAL ECONOMICS 2015-2016 School of Economics and Finance Queen Mary, University of London 1

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Programme Structure (Regular)

• Each module typically worth 15 credits• ECOM094 is 30 credits• Dissertation is 30 credits

Semester A Semester B Summer

ECOM101Behavioural Economics

ECOM102Advanced Behavioural Finance

5,000 word Dissertation

ECOM065Investments

Elective

ECOM015Corporate Finance

Elective

ECOM072Econometrics for Finance

Elective

ECOM094Eviews and Data Analysis for Research

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Programme Structure (CFA Pathway)

• Students on CFA Pathway do not take ECOM094 Eviews and Data Analysis

• Instead, they take ECOM092 CFA Training– 1 week intensive module in June – prepares students for CFA level 1 exam in Dec (after

graduation from MSc)– supplied by Fitch Training

• Note: fee for CFA Pathway is higher by £1000

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Dissertation

• Can be– literature review– empirical project (typically, redoing data analysis from

published paper using different data set)(If you plan to do empirical project, you should probably not take CFA Pathway as it excludes ECOM094)

• Details will be given in semester B

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Assessment

• Typically, mark for each module is 20-80 weighed average of coursework (HW, tests, etc.) and final exam

• Mark classification:– Fail 0-49– Pass 50-59– Merit 60-69– Distinction 70-100

• Resit opportunity in Aug– mark capped at 50– counts with weight 100% (i.e., coursework mark does not

count)

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Degree Requirements

• To obtain MSc degree, you must:– pass at least 150 (out of 180) credits– overall average (including dissertation) of at least 50– not obtain a mark below 40 in any module– “pass” on dissertation– students who fail dissertation may submit fresh dissertation following

year (mark capped at 50)• To graduate with merit, you need

– overall average of at least 60 and– at least 60 on dissertation

• To graduate with distinction, you need– overall average of at least 70– at least 65 on dissertation

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Choice of Electives

• List of electives with short descriptions available in PG Student Handbook

• Syllabi available through PG Shared Area of QMplus

• More ambitious students with better math skills encouraged to take ECOM044 Advanced Asset Pricing and Modelling

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Choice of Electives

1. Go to: https://mysis.qmul.ac.uk2. Log in using college username and password3. Choose elective modules for semester B.

(You can change selections at start of semester B.)

4. Once you’ve chosen electives on MySIS, SEF will check and confirm them

• Deadline to enter selections: 11th Oct (Sun)• Electives allocated on first come, first serve basis

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Unmarked Short Modules and Courses

• Foundation course in Technical Analysis delivered by The Society of Technical Analysts

• Financial Trading Programme• Brief introduction to Bloomberg Terminals• Applied Portfolio Management

Check PG Shared Area on QMplus for further info

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Timetables

• For 21st Sept – 2nd Oct, follow timetable for pre-sessionals

• You will get email about timetable for 5th Oct – 18th Dec

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Attendance

• Obligatory lecture attendance• Recorded electronically• Bring clickers

• Possible consequences of non-attendance– deregistration– visa issues

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Extenuating Circumstances

• If you miss lectures, test, exam, or homework deadline due to something outside your control (e.g., because you are unwell), submit ASAP extenuating circumstances claim with supporting documentation

• Fit-to-sit policy: If you take exam/submit HW, you are considered fit

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e-Books

• SEF will provide e-books for compulsory modules• You will be able to read them on and off-line, take

notes, print parts of them• Details will be given to you by email after you

enrol

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Facilities

• Access to computer labs in W307 and W313

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Events and Activities

• SEF imagery competition• Debate teams• SEF 5-aside football championship• Careers events:– guest lectures– informal trip to Bloomberg

• School’s MSc investment club, Queen Mary University of London MSc Investment Fund (QUMMIF)

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Careers Programme

• SEF organizes events geared towards developing job market skills

• For more info:– www.careers.qmul.ac.uk– www.facebook.com/careersforeconomics

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Staff Student Liaison Committee

• Platform for students to express views and concerns

• Committee meets twice per term• Students representatives wanted

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Special Arrangements

• If you need special arrangements for exams due to problem or medical condition, contact Queen Mary’s Disability and Dyslexia Service ([email protected]) well in advance of exam

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Additional Resources

• Advice and Counseling Service (www.welfare.qmul.ac.uk) – student finance advice– professional counseling for psychological issues– immigration advice– housing, study and disability support– specific info for international students

• Nightline (020 7631 0101)– confidential listening and information service run by students

• The Language Centre (www.language-centre.sllf.qmul.ac.uk)

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Timeline & Important Dates21st Sept – 25th Sept21st Sept – 2nd Oct

Induction weekPre-sessional modules in maths and statistics

5th Oct – 18th Dec9th–13th Nov

Semester A lectures and classesReading week

11th Jan – 1st April22nd-26th Feb25th and 28th MarchSome time in March

Semester B lectures and classesReading weekBank holidaysDissertation abstract due

25th-29th April Revision week

3rd May – 10th June2nd and 30th May

Examination periodBank holidays

Some time in June for 1 week CFA Training

June-AugSome time in Aug

Need to be available to meet dissertation supervisorDeadline for dissertation submission

Some time in Aug Resit exams

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Thank you for choosing SEF!

We wish you an exciting and rewarding experience!