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MADRAS SCHOOL OF ECONOMICS MSE BUSINESS SCHOOL Post-Graduate Teaching & Research in Economics, Finance & Management (Approved by AICTE, Ministry of HRD, Govt. of India)

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Page 1: #8 J W S€¦ · economics, f inance, environment , business analyt ics and management . I n recent years, t he use of A rt if icial I nt elligence, Dat a science and deep learning

ADMISSIONS BROCHURE 2020-22

[email protected] / www.mse.ac.in

MADRAS SCHOOL OF ECONOMICSMSE BUSINESS SCHOOL

Post-Graduate Teaching & Research in Economics, Finance & Management(Approved by AICTE, Ministry of HRD, Govt. of India)

POST-GRADUATEDIPLOMA INMANAGEMENT- FINANCE - RESEARCH & BUSINESS ANALYTICS

TWO YEAR FULL-TIME

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INSIDE...

[email protected] / www.mse.ac.in

AT A GLANCE

THE MSE ADVANTAGE

BOARD OF GOVERNORS

CHAIRMAN'S NOTE

PGDM PROGRAM AT MSE

DIRECTOR'S NOTE

PGDM CHAIRPERSON'S

NOTE

PROGRAM OVERVIEW

CURRICULUM

FACULTY

LECTURES & EVENTS

RECRUITER

RELATIONSHIPS

PLACEMENTS

STUDENT PROFILE

CAMPUS LIFE

FROM OUR STUDENTS

ADMISSION PROCESS

ELIGIBILITY CRITERIA

SELECTION PROCESS

COURSE FEE

TO DO LIST

FAQS

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AT A GLANCE

[email protected] / www.mse.ac.in

STUDENTS CAN APPLY TO ONE OR BOTH OF THE FOLLOWING

TWO YEAR FULL-TIME PROGRAMS:

- PGDM FINANCE (FINANCIAL ENGINEERING)

- PGDM RESEARCH & BUSINESS ANALYTICS

ELIGIBILITY CRITERIA

Minimum 60% in class X, XII and undergraduate degree.Undergraduate degree from recognized university(10+2+3 or 10+2+4).No arrears/ backlogs at the time of joining the program.Preferable to have had Mathematics at Class XII level.Scores from any of the following entrance exams - CAT/ GMAT/ XAT/ MAT/CMAT/ ATMA.

1.2.3.4.5.

Application form must be filled online at www.mse.ac.in and supporting documentsscanned and uploaded.Cost of application form - Rs. 1500 only. Payment to be made through NEFT andtransaction ID to be entered in the application form.Last date for submitting filled application forms - 30 April 2020. Academic session commences - 20 July 2020.

APPLICATION DETAILS

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THE MSEADVANTAGE

Leading national school for teaching and research of Economics, Finance,Statistics, Environment, Management & Data ScienceRanked among the top institutes in the country Chaired by celebrated economist and Padmavibhushan awardee, Prof. Dr.C. Rangarajan, former Chairman of PM's Economic Advisory Council,former Governor of Andhra Pradesh, former Governor of RBISilver jubilee Masters programme with 25 years of Alumni network Strong industry partnershipsContinuous engagement with leading think-tanksBeautiful, green campus, centrally located in the heart of Chennai

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B O A R D O F G O V E R N O R SFounded by a number of leading academicians,prominent industrialists and well-known financialinstitutions, the school was registered as a charitablesociety under the Tamil Nadu Act 27 (SocietiesRegistration Act – Government of India) of 1975 onSeptember 23, 1993.

Sri. C. Rangarajan, Economist,

former MP, 19th Governor of the

RBI

Dr. Anandi Subramanium,

Principal Advisor to Ministry of

Environment, Forest & Climate

Change

Sri. Sriram Viji DMD, Brakes

India Private Limited

Thiru. S. Krishnan, IAS

Finance Secretary Govt. of TN

Sri. M. Anandakrishnan, former

Chairman, IIT Kanpur, former

VC, Anna University

Sri. Atul Gautam, MD & CEO,

Oriental Bank of Commerce

Sri. R. A. Sankara Narayanan,

MD & CEO, Canara Bank

Dr. U. Sankar, Honorary

Professor, Madras School of

Economics

Sri. Karnam Sekhar, MD & CEO,

Indian Overseas Bank

Sri Vinay Tonse, CGM, State

Bank of India

Sri G. Rajkiran Rai, CMD,

Union Bank of India

Prof. A.P. Dash, Vice Chancellor,

Central University of Tamil

Nadu

Dr. K.R. Shanmugam, Director,

Madras School of Economics

Prof. R. Radhakrishna,

Chairman, Center for Economic

and Social Studies

Dr. A. C. Muthiah , Industrialist

and cricket administrator,

Chairman Emeritus, SPIC Ltd.

Smt. Padmaja Chunduru, MD &

CEO, Indian Bank

Dr. M. Govind Rao, Member,

14th Finance Commission &

Former Director, NIPFP

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A unique blend of

teaching and research!

MSE is not a general school. We focus on our core strengthsof economics and finance with the quantitative rigour ofanalysis and the litmus test of practical application. Which iswhy, our recent PGDM offering is sharply tailored to deliver onFinance and Business Analytics. At MSE, we create an environment for our students to not onlyfind their specific interests but also inspiration. After all, if weare going to fulfill our dream of a 5 trillion economy in 5 years,we need lots of inspired work!

P R O F . C . R A N G A R A J A N

Chairman, Madras School of Economics, Ex-Governor of RBI, Chairman of PM’s Economic Advisory Council (2009-14)

"

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Madras School of Economics (MSE) is one of the premier institutions in thecountry for post-graduate teaching and research in Economics, Finance,Environment, Management and Data Sciences,. Set up as a non-profitinstitution, MSE was formed with a mandate to groom cohorts of qualifiedprofessionals who would impact public policy and private industry of a vast,growing country. The school is privileged to be led by the celebrated economist,former Chairman of PM's Economic Advisory Council, former Governor ofAndhra Pradesh, former Governor of RBI and Padmavibhushan awardee, Prof.Dr. C. Rangarajan. MSE offers two two-year full-time programs - Master of Arts (MA) and PostGraduate Diploma in Management (PGDM). The MA program has fivespecializations, in General Economics, Financial Economics, ActuarialEconomics, Environmental Economics and Applied Quantitative Finance.The PGDM program offer two specializations, in Research & BusinessAnalytics and Finance. The dual emphasis at MSE on rigorous theory combined with practical real worldapplication ensures that MSE students are a class apart with functional skills thatare readily applicable in the professional world.

P G D M @ T H EM A D R A S S C H O O L O F E C O N O M I C S

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In 25 years, MSE has emerged as a leadinginstitution for teaching and research ineconomics, finance, environment, businessanalytics and management. In recent years, the use of ArtificialIntelligence, Data science and deep learning intandem has opened the doors to myriadopportunities. According to an estimate, AI willcreate close to 2.3 million jobs by the year2020 in ML & Data Science. There is a need to train more professionalswho can adapt and drive these technologysolutions with a strong economic and analyticalfoundation. MSE conceived of the PGDMprogram as a way to fill this need gap. The PGDM programme at MSE is

unique as we follow an analytical approach,built on the economics and finance legacy ofMSE. Our curriculum creates professionals welltrained in economic/ financial theories,programming, econometric software,quantitative techniques and tools and ready todeploy their skills in the real world with a welldeveloped sense of social responsibility. MSE alumni through the years have beenplaced well and proved themselves conduit tothe fields including analytics, research, policy-making, banks, academic institutions andNGOs. I welcome you to join this prestigious group ofstudents.

Creating professionals for the future!

D R . K . R . S H A N M U G A MDirector, Madras School of Economics

"

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MSE offers post-graduate diploma coursesin management in Research and BusinessAnalytics and in Finance. MSE's uniquecurriculum leverages MSE’s strengths as atop economics institution to createmanagers who are ready to excel in rolesinvolving an in-depth understanding ofanalytics and finance. The programme issuitable for students who are comfortablewith quantitative approaches, and have themotivation to put in the efforts tounderstand subjects thoroughly. Our management students receive athorough grounding in mathematics, statistics and econometrics. They are well-trained in algorithms, programming inPython, and the design of computerapplications; and get hands-on experiencewith statistical and modelling software suchas R, MATLAB and Stata. Our first yearfinance curriculum covers financial markets,corporate finance and financialmanagement over three terms,

D R . S R I K A N T PChairperson, PGDM

equipping students with a rigorousfoundation that prepares them for a widerange of advanced electives in financialengineering, markets, and corporatefinance. Similarly, a strong first yearfoundation in mathematical analysis, linearalgebra, and probability and statisticsintellectually equips our data sciencestudents to take electives in machinelearning, artificial intelligence, deeplearning and reinforcement learning.Classes are taught by a combination of in-house faculty and industry experts.Internships, guest lectures, workshops, andlive projects augment classroom rigour withmultiple opportunities to understand howthese techniques are used by industries inpractice. MSE has a centrally located, beautifulcampus with a vibrant student life; andoffers excellent placement opportunities.

"

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RESEARCH& BUSINESSANALYTICS The specialization in Researchand Business Analytics offerselectives such as machinelearning, artificial intelligence, bigdata, and domain specificanalytics courses such as medicalanalytics and financial analytics, inorder to cater to industry demandin such fast growing areas.

Select Courses - RBA

Students with the RBA

specialisation are ready for

careers as data scientists,

business analysis and

intelligence, management

reporting and control, data-

driven consulting and

policy formulation.

Careers for RBA grads

Medical Analytics

Financial Analytics

Algorithms

Big Data

Machine Learning and

Artificial Intelligence

Domain-specific courses

Sample Electives

Select Courses - FIN

Students with the FIN

specialisation are ready for

careers in quantitative

finance roles like

structuring, trading, and

risk management.

Careers for FIN grads

Asset Pricing

Corporate Finance

Computational

Techniques in Finance

Stochastic Calculus

Market Microstructure

Derivatives Pricing

Financial Time Series

Domain-specific courses

Sample Electives

FINANCE/FINANCIALENGINEERINGThe specialization in Financeincludes in-depth theoretical andempirical coursework in assetpricing and corporate finance.Electives offered includestochastic calculus, derivativespricing, computational techniquesin finance and marketmicrostructures.

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C U R R I C U L U MThe MSE PGDM is designed to train students for

technically challenging jobs with financial institutions,

consulting services and analytical companies. They also

provide a unique combination of knowledge of complex

theories with rigorous exposure to the underlying

mathematical-statistical theories and practical financial

modeling to enhance the ability of the students to meet

the demands of today's industry and companies

committed to data-driven decision-making. Experts from

industry further enrich the student ability.

The two-year program is divided into six terms with class

room instruction, and one term in the summer which

consists of an internship in the industry. Both Research &

Business Analytics (RBA) as well as Financial Engineering

(FIN) undergo a similar first year, with a common syllabus

in the first three terms. The focus is on learning

foundational Mathematics, Microeconomics,

Macroeconomics, Stochastic Calculus, Accounting,

Finance with an introduction to Programming, Algorithms

and Marketing.

First year Courses - Common for RBA & FIN

Term 1

111 Marketing Management 112 Financial Management 113 Strategic Management 114 Quantitative Methods 115 Discrete Mathematics &Graph theory 116 Micro Economics

121 Macro Economics 122 Introduction to Programming 123 Advanced QuantitativeMethods And Applications 124 Operations Research 125 Finance - I 126 Financial Mathematics

131 Corporate Finance 132 Advanced Macroeconomics 133 Supply Chain Management 134 Introduction to FinancialEconometrics 135 Database ManagementSystems 136 Stochastic Process 264 Introduction to OrganizationalBehaviour, Management & HumanResources

Term 2 Term 3

Develop a strongfoundation for inter-disciplinary work

Combine course workfrom the areas ofFinance, Economics,Management, BusinessAnalytics and DataScience

Exposure to latesttrends in academicsand industry throughprojects and internship

Objectives of theprogram

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Second year Courses - Research & Business Analytics

Second year Courses - Finance

Term 4

241 Asset Pricing 242 Artificial Intelligence &Machine Learning 243F Pricing of Derivatives & Options 244F Advanced Analytical modelsfor decision-making 245FA Financial Time seriesAnalysis245FB Algorithms 246FC Introduction to FinancialMarkets and Market Microstructure 245DB Medical Analytics 247 Multinational Enterprises

251 Information Theory242 Stochastic Calculus245DA Cryptography246DB Data Analytics245DC Approximation &Randomized Algorithms 252 Game Theory 253D Machine Learning 254DA Artificial Neural Networks 254DB Health Analytics II 255DA Simulation Techniques inFinance255DB Graphical Methods255DC Pricing and RevenueOptimization 256DA Robotics 256DB Bioinformatics256DC Human Resources

261 Banking and FinancialServices 262 Advance Topics in Economicsand Finance 263D Reinforcement Learning 264DA Deep Learning264DB Organizational Behavior 265DA Computational Finance265DB Mechanism Design265DC Health Analytics III 266DA Quantum Computing266DB Advanced Topics in DataScience267 Project Report

Term 5 Term 6

Term 4

241 Asset Pricing 242 Artificial Intelligence &Machine Learning 243F Pricing of Derivatives & Options 244F Advanced Analytical modelsfor decision-making 245FA Financial Time seriesAnalysis245FB Algorithms 246FC Introduction to FinancialMarkets and Market Microstructure 245DB Medical Analytics

251 Stochastic DifferentialEquations in Finance 252 Game Theory 253F Fixed Income Models 254FA Simulation Techniques inFinance254FB Advanced Asset Pricing 255FA Stochastic Calculus255FB Numerical Methods inFinance255FC Pricing & RevenueOptimization 256FA Risk Models256FB Stochastic Control inFinance256FC International Business246FA Taxation246FB Topics in BehaviouralFinance246FC Introduction to Accounting& Management

261 Banking and FinancialServices 262 Advance Topics in Economicsand Finance 263F Credit Risk Models 264F Computational Finance 265FA Deep Learning265FB Statistical & EmpiricalMethods in Finance266FC Corporate Valuation/Investment Banking 266FA Algorithmic & HighFrequency Trading266FB Advanced Topics inFinancial Engineering 267 Project Report

Term 5 Term 6

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F A C U L T YDr. K. R. Shanmugam

Dr. Rakesh Nigam

Dr. Srikant P

Dr. Saumitra Bhaduri

Dr. Naveen Srinivasan

Dr. R. Kannan

Dr. Zareena Begum J

Dr. Ekta Selarka

Dr. Sowmya Dhanaraj

Dr. Parthajit Kayal

Dr. Gangadharan

Dr. Deepa Duraiswamy

Ph.D. (Econometrics), University of Madras Director & ProfessorWith research interests in Public Finance, Macroeconomic models, Applied Econometrics, Finance andEconomics of Human Resources, Dr. Shanmugam teaches Financial Time Series and Econometrics.

PhD Stanford (Applied Physics)Professor & Principal, PGDMAcclaimed for the Nigam’s Formula on Solar Oscillations, Dr. Nigam has held senior teaching and researchpositions in the International Computer Science Institute, Berkeley and the Chennai Mathematical Institute.

Fellow, IIM Calcutta (Finance & Control)Associate Professor & Chairperson, PGDMDr. Srikant teaches courses in financial economics, corporate finance and financial markets. He holds aPhD and MBA from IIM Calcutta, and a B. E. from Delhi University. Before entering academics, Dr. Srikantmanaged multi-billion dollar proprietary systematic and arbitrage strategies.

Ph.D. (Economics), IGIDR, Mumbai, 1998Professor

Ph.D. (Economics), Cardiff Business School, Cardiff University, UK, 2002Professor

Ph.D.Professor

Ph.D., Indian Institute of Technology Roorkee, 2007Associate Professor

Ph.D. (Economics), IGIDR, Mumbai Associate Professor

Ph.D. (Development Studies), IGIDR, Mumbai, 2017Assistant Professor

Ph.D. (Quantitative Finance), IFMRAssistant Professor

Ph.D. (Economics), University of MadrasFaculty & AO

Ph.D. University of Madras, PGDM IIM Calcutta, 2002Faculty Visiting Faculty and Guest LecturesApart from the regular faculty, students enjoy the privilege of distinguished guest faculty from acclaimedinstitutions as well as special lectures from industry stalwarts.

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L E C T U R E S & E V E N T S

Chris Arnold

Dr. A. K. Pradeep

Dr. Gautam Udupa

Dr. Rajiv Kumar

Dr. Pami Dua

Some of the invited talks and endowment lectures that our studentshad the opportunity to attend last year include -

Head of Product, Analysis & Modelling at Wells FargoData Visualization

Founder & CEO, MachineVantageNeuromarketing

Research Director, Center for Advanced Financial Research andLearningMSE silver jubilee year distinguished lecture

Vice Chairman, Niti Aayog 11th SAGE-MSE Endowment Lecture, "Towards $ 5 TrillionEconomy"

Professor, Delhi School of Economics Dr. R. Venkataraman Endowment Lecture Our students also are privileged to attend the regular eventsorganized by the Chennai International Centre (CIC) at the MSEcampus. Past speakers list at www.cic.in.

Second year team winning the Accenture Case Challenge 2019

Ms. Pramad Jandhyala, Co-Founder &Director, LatentView Analytics, delivering

a talk for the Friday Lecture Series

Mr. Ajoy Krishnamurti, Chief BusinessOfficer, Crayon Data, delivering a talk for

the Friday Lecture Series

Students with Prof. C. Rangarajan, Chairman, MSE and former Governor, RBI

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G L I M P S E S F R O MT H E C L A S S R O O M

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R E C R U I T E RR E L A T I O N S H I P S

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A V E R A G E S T U D E N T S P R O F I L E

36% with some

prior work

experience

42% from tech/

science

backgrounds

HomeStates

119 StudentsWork

Experience

UnderGraduateStream

Representing 10

states of the

country

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F R O M O U R S T U D E N T S

The program is extremely welldesigned and unlike theconventional MBA programs,offers a very quantitative andprogramming based approach.We are constantly motivated tothink out of the box and come upwith solutions to real lifeproblems, preparing us to facethe industry and making us evenmore practical in our approach.

Ishita GuptaPGDM Finance 2019-21

Why MSE? Going through thecourse curriculum which wasvery unique and fully datadriven and learning the vision ofhow the course was intended toprogress, told me that I was onthe right track. I am happy thatit is going exactly the same waynow and we are exploring a lotareas where Analytics can playa big role.

Shashi Ranjan MandalPGDM RBA 2019-21

I have always been curiousabout the factors that affectthe growth of an economy.Also, as an engineeringgraduate, I wanted to solve theuncertainty that is prevalent inour economy. I believe thatAnalytics gives you theopportunity to solve this kindof problem. Therefore, Ichoose to pursue PGDM atMSE.

Lilendar Rohidas PGDMRBA 2019-21

The PGDM program at MSE iswell-crafted and has an arrayof quantitative courses indata science and finance. Therigorous mathematicalfoundation provided here andthe insistence onprogramming fundamentalsis unparalleled. Rohith Krishna PGDM

RBA 2019-21

MSE offers the best when itcomes to Data Science andAnalytics. The amalgamationof different disciplines is wellbalanced. The facultymembers have vast experiencein specialized fields. Statisticsand Mathematics are thebackbone of FinancialEngineering and that is whatmakes MSE one of the bestBusiness Schools.

Roopchand ParisePGDM Finance 2019-21

Apart from the extensivecurriculum,we have a verygood faculty who give broadintuitions into real lifeexamples and the actualconcept behind what we use inour day to day life. This courseis widely directed towardsapplying the techniques welearn and keeps alive ourenthusiasm to learn.

Sri Rajitha ThattikotaPGDM RBA 2019-21

MSE offers a unique pedagogycombining elements of -Computer science, Economics,Statistical analysis andBusiness management. This isa rigorous course that trainsstudents on the corefundamentals of Data Science.I could see immense value inchoosing to pursue this courseat MSE for a holistic learningexperience, as compared tomany other courses out there.

Akash GuptaPGDM RBA 2019-21

I have always been inclinedtowards finance. When I wentthrough the curriculum ofMSE, it was perfect for me. Theoverall course structure withadded machine learning withfinance application provides awell-balanced and advancedcurriculum to the program.Moreover, the faculty aregreat!

Venkat Suman PanigrahiPGDM Finance 2019-21

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.Data science and analytics arenot just fancy words but theneed of the hour. This courseattempts to bridge the gapbetween the oldschool and the neo management.It challenges students to test theirpotential every class. Teacherstake due time and patience toteach students from the basics.hey take feedback andconstructive criticism in mouldingthe course for the better.

With abundance of data flowingin, the PGDM course at MSE isequipping the students with allthe skills required to give theman edge in this field.From its fundamental courses inmathematics, statistics andProgramming to its core courseslike machine learning androbotics, this course reallystands out.

The course curriculum played amajor role in my decision to joinMSE Business School. Themoment you go through thecurriculum you get an essenceof the hard work that must havegone to design such a course.What I like the most is theunique blend of rigorous quant-based courses and the moretraditional managementsubjects offered by our PGDMprogram.

Aditya Kedar TataPGDM Finance 2019-21

The PGDM programme challengesone's analytical and logicalthinking and builds a strongfoundation in programming andquantitative analysis. The courseis very application-oriented andhands-on, making us ready forthe job market. The campus hasgood infrastructure and one'scalendar is occupied with co-curricular and extra curricularactivities.

SamrakshitaPGDM RBA 2018-20

F R O M O U R S T U D E N T S

Rai PramanikPGDM Finance 2018-20

Arushi BaggaPGDM RBA 2018-20

Got to learn programming andinteresting subjects likealgorithms, stochastic process,medical analytics,machine learning, etc.  Subjects are taught coveringall fields which make yourfundamentals strong. Differentprojects and assignments aregiven, which help usunderstand how a DataAnalyst should approach theproblem.

Vaibbhav KalraPGDM RBA 2018-20

This course helpsthe students in providing theknowledge required to buildthe analytical andprogramming skills to solveany kind of businessproblems. This is a rigorouscourse offered with themachine learning techniques,big data, informationtheory and robotics which arethe current trends in theindustry.

Praneetha ChakkaPGDM RBA 2018-20

"Being a graduate of Biology, I knew the far-reaching implications of data and theimpact of data science. MSE offered me the chance to step out of the traditional pigeon-hole andgave me the support as well as the guidance to explore both Analytics and Financial Engineering. Aswe specialize only in the second year, it gave me the opportunity to learn and grow in leaps andbounds with courses such as Linear Algebra, and R programming. I am truly privileged to have had the opportunity to study under the professors at MSE. Calling thempioneers in their respective fields would be an understatement and it's amazing how they make surethat no student is left behind. This course has opened new horizons and perspectives to my mind. Few institutes whole-heartedlywelcome students from diverse backgrounds and encourage them as they do at MSE. My experiencein the PGDM course at MSE is what Oliver Wendell Holmes Jr describes as the effect of education : “A man's mind, stretched by new ideas, may never return to its original dimensions.”

Krishnapriya ASPGDM RBA 2018-20

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T H E A D M I S S I O N SP R O C E S S

IMPORTANT DATES

Last Date for Submission of Application: 30 APRIL 2020

First Shortlist: 15 MAY 2020

Payment of 1st Installment Fees (before): 27 MAY 2020

Second Shortlist: 30 MAY 2020

Payment of 1st Installment Fees (before): 19 JUNE 2020

Induction Program Starts: 20 JUNE 2020

Academic Session Commences: 20 JULY 2020

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NEFT DetailsBeneficiary Name: MADRAS SCHOOL OF ECONOMICSBank Name & Branch: Indian Overseas Bank, GandhiNagar, Chennai.Bank Account Number: 163501000002345IFSC Code: IOBA0001635MICR Code: 600020120

APPLICATION FEES: Candidates should pay anapplication fee of Rs. 1500 through NEFT and enter thetransaction ID in their online application form. Thoseapplying for both the courses have to check the "both"option in the application form.

While making the online fund transfer, please mention your name (e.g. Ram Kumar) in the transactionremarks field. After making the online fund transfer please mail scanned/ printout of the payment details onor before the deadline to [email protected].

ApplicationCandidates can apply either online or offline. The online application form can be filled athttps://enrolonline.mastersofterp.in/?CollCode=MSE. Candidates can also download the applicationform from www.mse.ac.in/pgdm, fill it offline, scan it and email it along with transcripts and fee receipts.Scanned copy of transcripts of undergraduate degree, 10th, 12th class mark sheets, and standardized testscores along with a copy of the latest resume should be emailed to [email protected] on orbefore 30 April 2020.

Eligibility CriteriaMinimum 60% in class X, XII and undergraduate degree.Undergraduate degree from recognized university(10+2+3 or 10+2+4).No arrears/ backlogs at the time of joining the program.Preferable to have had Mathematics at Class XII level.Scores from any of the following entrance exams - CAT/ GMAT/ XAT/ MAT/ CMAT/ ATMA.

1.2.3.4.5.

Eligibility GuidelinesDegree Completion: Candidates awaiting their final year undergraduate results/ degrees can apply, butthey need to produce a certificate from the Principal/ Head of the department/ Registrar/ Director of theinstitution/ university certifying that the candidate is in the final year/ is awaiting results.CGPA Calculation: The percentage obtained by the candidate in the bachelor’s degree would be based onthe practice followed by the institution/ university from where the candidate has obtained the degree. Incase of the candidate being awarded grades/ CGPA instead of marks, the equivalence would be based onthe equivalence certified by the institution/ university from where they have obtained the bachelor’s degree.In case the institution/ university does not have any such scheme, the equivalence would be established byMSE by dividing the CGPA by the maximum possible CGPA and multiplying the result by 100. Subjects: If the percentage of marks awarded to the candidate at the degree level does not take intoaccount all the subjects, the candidate must produce a certificate from the Principal/ Head of thedepartment/ Registrar/ Director of the institution/ university certifying the same. Integrated Programmes: For candidates who have passed out from an integrated programme after their12th/HSC, the percentage of marks obtained as per their institute/ university norms applicable to bachelor’sdegree will be considered.

A D M I S S I O N S

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The personal interview aims to assess the candidate’s overall suitability for MSE’s managementprogramme. MSE’s PGDM programme, and the roles it prepares students for, require strong quantitative,critical reasoning, and communication skills. Topics for interview questions may include: i. a candidate’s general awarenessii. ability to apply concepts learntiii. purpose and clarity on the need to do a PGDM programmeiv. sports and extracurricular activities, leadership roles, entrepreneurial skills ability to cope with therigours of MSE’s PGDM programme.

Candidates will be shortlisted based on their performance in the standardized tests (both overall andsectional cut-off scores).The overall and sectional cut-offs for each entrance exam is decided by the admission committee, whichwill meet after the application deadline. Details of the examination cut-offs will be made available on the MSE website (www.mse.ac.in). Candidates scoring on or above the overall and sectional cut-off will be called for personal interviews atMSE. Shortlisted candidates will receive call letters through letter/ email & SMS (registered mobile numbersspecified in the application). Candidates will have to meet their own travel expenses for appearing in the interview session at theMSE campus in Chennai. Candidates have to give an undertaking at the time of the personal interview that they do not have morethan 2 arrears/backlogs.No communication will be sent to applicants who are not shortlisted for personal interviews.

1.

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5.6.7.

8.9.

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Personal Interview

Interview Selection Procedure

Admission CriteriaThe admissions committee determines the basis on which admissions decisions are made, taking intoconsideration:1. Prior academic performance2. Work experience3. Standardized test scores4. Personal interviews5. Any other factor deemed fit by the committee.

Provisionally selected candidates will be offered admission through e-mail and over the telephone. Acandidate needs to confirm his acceptance of the admission, original certificates, and pay fees within 15days. Failure to do so may lead to forfeiting the admission offer. Provisionally selected students who are inthe final year of their degree while applying for MSE have to submit their Degree certificates on or before30th September 2020. The students will have to provide an undertaking that they do not have more thantwo arrears, and if this is later found to be incorrect, they will be removed from the programme. MSEreserves the right to rescind admission if any information provided in the application stage is found to beincorrect.

Final Selection Process

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Course Fee

The refund policy of MSE for the PGDM programme is based on the guidelines of AICTE. Refund will bemade after deduction of the processing/ cancellation charges depending upon the time when the request ismade.

Refund Policy

Particulars First installment feeRefundable Caution Deposit on AdmissionSecond Installment Fee-October 15, 2020Third & Final Installment Fee-June 15, 2021 Total Fee (excluding refundable deposit)

Amount, Rs. 300,000.0050,000.00400,000.00300,000.00 10,00,000.00

Particulars Before the last date of the admission (19-06-2020) On or after commencement of inductionprogramme, but before the start of the academicsession (20-6-2020 to 19-07-2020) When the request is received on or after the startof the academic session (20-07-2020) and the institutecould not fill the seat

Amount, Rs. Entire fee less the processing charge of Rs.1000/- Entire fee less the Seat Cancellation Charges onpro rata basis.For calculation of pro-rata basis, 1month shall be treated as 1 unit. For example, ifthe candidate withdraws two days after the startof academic session the cancellation charges onpro rata basis will be the amount of total fee/12 orRs.1000/-, whichever is higher No refund, except caution deposit, shall be made

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S O M E F R E Q U E N T L YA S K E D Q U E S T I O N S

What are the documents that are required to besubmitted along with the online application? Profile picture, transcripts of mark sheets up tohighest degree, degree certificates, resume and asignature file. Is there any loan facility available for funding the course expenditure? Students often take educational loans to meet thecourse expenditure. However, the school does nothave any direct tie-up with financial institutions. Is there any reservation to OBC/SC/STcandidates? MSE follows reservation policies as perthe guidelines followed by Central Governmentinstitutions. What are the class schedules for this course? Classes commence at 9.30 am and end by 5.30 pmMonday - Friday. Special classes, workshops andlectures are frequently organized on Saturdays. I have 50% aggregate marks in graduation with2 years of experience. Am I eligible to apply thisprogramme? Admission into the program requires a minimum of60% aggregate marks in all previous educationallevels. What are the infrastructural facilities available atMSE? A well-stocked library, computer lab, air-conditionedclassrooms, hostel facility, students' canteen andcafeteria, two large auditoriums, green open spacesfor community.

Is there any fee waiver or any special discountfor students who are from financially backwardfamily? Are there any scholarships? There are no scholarships or discounts currently.However, once accepted, students in need mayapproach the office for assistance in availingeducational loans. What are the requirements related to classattendance? 75% mandatory attendance, failing which thecandidate will not be promoted to the next year/allowed to graduate. Do you provide accommodation for studentswho join in PGDM? There are separate boys and girls hostels withlimited seats. Accomodation is on first-come-first-served basis. As the school is centrally located,some students also live in paying guest facilitiesnear campus. Are accommodation and mess chargesincluded in the programme fee? No. Is there a summer internship at MSE ? Summer internship is a mandatory part of thecourse. Does MSE guarantee placements? MSE has long-standing relationships with a largepool of recruiters and a dedicated placement officeto help students interview with relevant companies.However, it is up to the students to convert theseopportunities into final job offers.

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Madras School of EconomicsGandhi Mandapam Road

Kottur, Chennai 600025.

Tamil Nadu, INDIA.

+91-44-2230-0304 (Mon-Fri, 10.30 am - 5 pm)

Dr. Gangadharan, 98406-86927

[email protected]

www.mse.ac.in

(C ) 2019 MADRAS SCHOOL OF ECONOMICS

W E L O O K F O R W A R D T OS E E I N G Y O U .