POST GRADUATE PROGRAM IN BUSINESS ANALYTICS
POST GRADUATE PROGRAM INBUSINESS ANALYTICS
HOTTEST JOB OFIn 2020 global estimate callsfor 2.7 million job postings foranalytics & Data science rolesAnalytics50% Data scientists &Business analysts havea master’s degreeIT28.8% CAGRIndian AnalyticsIndustry8.6% CAGRIT sectorBy 2020, India will face ademand-supply gap of 2,00,000data analytics professionalsIndian Analytics Industry is growingrapidly as compared to IT.OUR CREDENTIALS6000 Analytics Programin India for 4 Yearsin a RowStudentsParticipantsrecommend theprogram to others800 Hours of LearningDeliveredIndustry Experts &25 India’s BestData Science FacultyBatches02
PROGRAMBENEFITSIndia’s t Lakes is one of the premierbusiness schools in the country and hasbeen ranked within the top ten in thecountry by Outlook, Business Today andBusiness India. This program has beenranked No. 1 by Analytics IndiaMagazine fourth time in a row and No. 2by Analytics Vidhya.The curriculum combines academicelegance and business relevance tofacilitate the participants learn basics ofmanagement, followed by analyticaltechniques and weaves them withapplications for data-based decisionmaking.CorporatePartnersHands onExposureThe program is designed, deliveredand endorsed by leading analytical,technology and consultingorganizations. Our corporate partnersare involved in curriculum design,facilitating projects, industry lecturesand also suggesting pedagogicalimprovements.FlexibleLearningThe PGP-BABI program providesutmost learning flexibility. Learn whileyou earn with our weekend classroomor online sessions. We accommodatetransfer cases and sabbaticals andprovide the option to catch up evenwhen you have missed classes.An integral part of the learningexperience is the use of Analyticstools wherein the candidates gethands-on exposure to R, Tableau,SAS (online) and Python.InternationalCollaborationThe program is internationallyrecognized and participants earn dualcertificates from McCombs School ofBusiness - the University of Texas atAustin and Great Lakes Institute ofManagement.03
PROGRAMPEDAGOGYProgram DeliveryThe program is delivered in two formats. Professionals can eitherchoose the “classroom format” to attend 30 classrooms sessionsin a span of 12 months or the “online format” with 30 mentorshipsessions spanning over 11 months. Classes are conducted onweekends and public holidays, causing minimal disruption to workschedule.Online-Learning Management SystemAll candidates have access to the online LMS that hosts content(classroom recordings, discussion forums, assignments, readingmaterial) and live webinars to enable the candidates continue theirlearning during campus. The LMS provides an innovative learningenvironment that encourages collaborative approach between thecandidates thus paving the way for maximizing learningeffectiveness.Capstone ProjectAll candidates would be pursuing an application orientedcapstone project in the field of Business Analytics. The projectshall be mentored and evaluated by faculty from Great Lakes orIndustry. The project will be presented to the faculty board as partof the requirement for successful completion of the program.Industry Perspective LecturesThis is an important component of the program that complementsand substantiates the learning with an applied orientation. Theparticipants get the opportunity to listen to eminent speakersfrom leading analytics companies and assimilate the best practicesdiscussed by them in their lectures.Experiential LearningThis program is designed to transform candidates tobusiness-ready analytics professionals through hands-onexperiential learning on relevant tools. This is achieved throughpractice exercises, hackathons, quizzes and assignments onsoftware packages such as R, Tableau, SAS (online) and Python.04
PROGRAMCURRICULUMFOUNDATIONSIntroduction to Analytics Python/R for Data Science Introduction to Python/R Dealing with Data using Python/R Visualization using Python / R Python-Markdown Missing Value Treatment Exploratory Data Analysisusing Python/RMarketing & CRM Core concepts of marketing Customer Life Time Value Marketing metrics for CRMStatistical Methods forDecision Making Descriptive Statistics Introduction to Probability Probability Distributions Hypothesis testing and estimation Goodness of FitBusiness Finance Fundamentals of Finance Working Capital Management Capital Budgeting Capital StructureSQL Programming Introduction to DBMS ER diagram Schema design Key constraints & basics ofnormalization Joins Subqueries involving joins &aggregations Sorting Independent subqueries Correlated subqueries Analytic functions Set operations Grouping and filteringANALYTICS TECHNIQUESOptimization Techniques Linear programming Goal Programming Integer Programming Non-Linear ProgrammingPredictive Modeling Multiple Linear Regression(MLR)for Predictive Analytics Logistic Regression Linear Discriminant AnalysisAdvanced Statistics Analysis of Variance Regression Analysis Dimension Reduction TechniquesData Mining Introduction to Supervised andUnsupervised learning Clustering Decision Trees Random Forest Neural Networks05
PROGRAMCURRICULUMANALYTICS TECHNIQUESTime Series Forecasting Introduction to Time Series Correlation Forecasting Autoregressive MovingAverage (ARMA) models Autoregressive IntegratedMoving Average(ARIMA) models Case StudiesMachine Learning Handling Unstructured data Machine learning Algorithms Bias Variance trade-off Handling unbalanced data Boosting Model ValidationDOMAIN EXPOSUREMarketing & Retail Analytics Marketing and RetailTerminologies: Review Customer Analytics KNIME Retail Dashboards Customer Churn Association Rules MiningFinance & Risk Analytics Why Credit Risk-Using amarket case study Comparison of Credit Risk Models Overview of Probability ofDefault (PD) Modeling PD Models, types of models,steps to make a good model Market Risk Value at Risk- using stock case study Fraud DetectionWeb & Social Media Analytics Web Analytics: Understandingthe metrics Basic & Advanced Web Metrics Google Analytics: Demo & Hands on Campaign Analytics Text MiningSupply Chain &Logistics Analytics Introduction to Supply Chain Dealing with Demand Uncertainty Inventory Control & Management Inventory classification Methods (EOQ) Inventory Modeling (Reorder Point,Safety Stock) Advanced Forecasting Methods Procurement Analytics06
PROGRAMCURRICULUMVISUALIZATION AND INSIGHTSData Visualization using Tableau Introduction to Data Visualization Introduction to Tableau Basic charts and dashboard Descriptive Statistics, Dimensions andMeasures Visual analytics: Storytellingthrough data Dashboard design & principles Advanced design components/principles: Enhancing the powerof dashboards Special chart types Case Study: Hands on using Tableau Integrate Tableau with Google SheetsTOOLS & MOREPythonRTableauSAS (Online)EXPERIENTIAL LEARNINGCapstone ProjectCase StudiesAssignmentsHackathons07
CAPSTONEPROJECTSRetailE-commerceActionable insights for improvingsales of a consumer durablesretailer using POS data analyticsCustomer engagement and brandperception of Indian ecommerceA social media approachTechniques used: Market BasketAnalysis, RFM (Recency-FrequencyMonetary) Awnalysis, Time SeriesForecastingTechniques used: Text Mining,Kmeans Clustering, RegressionTrees, XGBoost, Neural NetworkWeb & Social MediaBankingTapping social media exchanges onTwitter- A case study of the 2015Chennai floodsDeveloping best prediction modelof credit default for a retail bankTechniques used: Topic Modelingusing 9 Latent Dirichlet Allocation.K-Means & Hierarchical ClusteringTechniques used: Linear DiscriminantAnalysis, Logistic Regression, NeuralNetwork, Boosting, Random Forest,CARTSupply ChainHealthcareDeveloping a demand forecastingmodel for optimizing supply chainPrediction of user’s mood usingsmartphone dataTechniques used: Text Mining,Kmeans Clustering, Regression Trees,XGBoost, Neural NetworkTechniques used: LogisticRegression, Random Tree, ADABoost, Random Forest, KSVMRetailInsuranceMarket basket analysis forconsumer durablesPersonal insurance digital assistantTechniques used: Market BasketAnalysis, Brand Loyalty AnalysisEntrepreneurship/Start UpsStart-up insights through dataanalysisTechniques used: Univariate andBivariate Analysis, MultinomialLogistic Regression, Random ForestTechniques used: NLP (NaturalLanguage Processing), Vector SpaceModel, Latent Semantic AnalysisFinance & AccountsVendor invoicing grief projectTechniques used: ConditionalInference Tree, Logistic Regression,CART and Random Forest08
FACULTYDr. P. K. ViswanathanCo-Director, Chennai, Professor - Analytics &Operations, Great Lakes Ph.D (MadrasUniversity), MBA (FMS Delhi)Dr. Bappaditya MukhopadhyayCo-Director, Gurgaon, Professor - Analytics &Statistics, Great Lakes Ph.D (Indian StatisticalInstitute)Dr. Kumar MuthuramanUniversity Distinguished Teaching Professor McCombs School of Business, University ofTexas at Austin Director, Center for Researchand Analytics, H. Timothy (Tim) HarkinsCentennial Professor, University Ph.D. - StanfordUniversityDr. S BhardwajDr. Srabashi BasuProfessor - Analytics & Quantitative Methods,Great Lakes Ph.D (Penn State University,USA),MSc Statistics (University of Calcutta)Dr. Sridhar TelidevaraAssociate Professor - Statistics & BusinessAnalytics, Great Lakes, Ph.D (State University, NewYork), MA (State University, New York)Dr. Mudit KulshreshthaProfessor Ph.d (University of Maryland)Professor - Analytics, Great Lakes, Ph.D (IGIDR,Advanced Research Institute of Reserve Bank of India)Dr. Ahindra ChakrabartiProf. Rajesh JakhotiaProfessor - Finance, Great Lakes, Ph.D (University ofBurdwan)Dr. Umashankar VenkateshProfessor - Marketing, Great Lakes, Ph.D (VikramUniversity), MBA (Banaras Hindu University)Prof. Snehamoy MukherjeeAdjunct Faculty, Great Lakes MSc - Mathematicsand Scientific Computing (IIT, Kanpur)Prof. Vivek AnandAdjunct Faculty, Data Visualiation, Great LakesMBA (Monash University Melbourne Vic.)Dr. Narayana DarapaneniProfessor, Great Lakes Institute of ManagementPhD (Pierre & Marie Curie University, Paris)Adjunct Faculty, Great Lakes, SMP (IIM, Calcutta)Prof. Abhinanda SarkarConsultant Data Scientist, Compegence, B.Stat.,M.Stat. (Indian Statistical Institute) Ph.D. inStatistics (Stanford University)Dr. Rohit KapoorAssociate Professor, IIM IndoreProf. Tushar JaroharAdjunct Faculty, Business AnalyticsProf. Krishna MohanSr. Manager - Technology, Thomson ReutersProf. MadhuKarDr. Narain GuptaProf. Gurumoorthy PFaculty, Data Science And Machine LearningProf. RaghavshyamRamamurthyDr. Subhajyoti RayProf. Vinit ThakurChief Data Scientist, WNS GlobalDean, XIMBAssistant Professor, MDIAdjunct Faculty, Data VisualizationData Science Consultant & Trainer09
INDUSTRYGUESTSMr. Lakshmi NarayananVice ChairmanThe Structure of the PGP-BABI program is veryinteresting, in which learning happens bothinside and outside the classroom.Mr. Lakshmi NarayanVice Chairman,Cognizant Technology SolutionMr. Abhinav KumarAVP, Decision AnalyticsMr. Muthu RamanujamHead, Retail Bank Finance AnalyticsMr. Sundar VaradarajanSenior Vice President & Practice Head,Bi & AnalyticsMr. Manu ChandraMr. Sanjoy Roy ChoudhuryVice PresidentMr. Titir PalDirector, Research & AnalyticsDr. Satish RaghavendranVice PresidentMr. Rajarajan TRCo-Founder & DirectorPrincipal Data ScientistMr. Suresh KrishnaswamyMr. Manish GuptaDirector, AnalyticsMr. Eron KarDirector & Head, Analytics CoeMr. V Shekhar AvasthyChief Data Scientist & PrincipalConsultantSenior Applied ScientistMr. Anshuman Gupta, PhDDirector, Data ScienceDr. Vinay M RPractice Lead Data Scientist10
MEETTHE CLASSThe PGP-BABI class consists of professionalsacross various industries, with a wide range ofexperience across roles intechnology, consulting,analytics and M.Sc/MS15%M.E./M.Tech50%B.E /B.TechB.Com/BBA/BScIT & E13%15 years13%35%12-15 yearsOthersConsulting, Research& Analytics2-5 years16%5-8 years23%8-12 yearsAutomobile &ManufacturingTelecommThe PGP-BABI class comes from leading organizations.Some of their current employers include:HealthcareMedia1%Power& Energy11
STUDENTS’SPEAK“Capstone project during the program was a great learning experience andhelped me immensely during my statistical modeling projects.”VishranthSenior Business Analyst“I finally chose GL, being a blend of industry expertise and highly experiencedteaching faculty. It’s a reputed brand in the management space with a focus onpractical and tie-ups with many analytical firms. I did a compact yet quitepowerful one-year course in Data Analytics. Of course, placement assistanceduring and after course completion helped many candidates.”Vilas WakaleIndependent Consultant“The choice of Great Learning program over several others was a simpledecision as this program allowed a blend of practical industry exposure andreal life capstone project interspersed with domain knowledge througheminent faculty members and industry guests alike. Moreover, assignment-ledassessment approach and a very robust LMS provided was thoroughly arewarding experience.”Amit MadanCountry Manager“PGP-BABI is a very targeted and focused course for professionals wanting tobreak-through in the analytics domain. The course is well structured withrespect to content and is backed by great faculty and thus providing a solidplatform to foray into the analytics domain.”Karan SeghalAssociate Vice President“It’s not really about learning the tools and techniques rather it has more to dowith critical thinking and how you come up with a solution. I learned it well withGreat Lakes PG Program - Business Analytics.”Parul OberoiEngagement Manager“I wanted a real physical classroom experience where I could interact with thefaculty and my peers. With Great Lakes PGP-BABI, I could leverage the benefitsof classroom learning while continuing with my job.”Vaibhav KukrejaAssociate Consultant12
CAREERSUPPORTGL ExcelerateCareer FairPersonal CareerCoachWe conduct regular careerfairs in various cities toconnect our students toindustry opportunities. Ourrecent GL Excelerate saw12 hiring partners likeAccenture, HSBC,Ust-Global, Rakuten,Myntra, DXCTechnologies, Tredence,Brillio, TheMathCompany,AB InBev etc. conductover 300 interviews forpositions such as BusinessAnalyst, Data Analyst,Data Scientist etc.Get access to careermentoring dependingupon your experience inthe industry with apersonal career coach.The coaches are eitherfrom the analytics industryor have transitioned intoanalytics roles so thecandidates benefit fromtheir guidance on how tobuild a career intoanalytics in a specificindustry.e-Portfolio &Resume BuildingSessionsAn e-portfolio is asnapshot of the all theprojects done and skillsacquired during theprogram that is shareableacross social mediachannels. We also help youbuild your resume tohighlight your analyticalskill-set along with yourprevious professionalexperience.Great LearningJob BoardThe program providescandidates access to theGreat Learning Job Board.200 organizationsapproach us with 30-40job opportunities monthlywhich are shared throughthe job board with ourcandidates.13
ADMISSIONDETAILSFeaturesPGP-BABI (Classroom)PGP-BABI (Online)Eligibility Bachelor’s Degree in any discipline with a minimum of 50%aggregate marks in graduation or equivalent For applicants with exceptional qualification and/or industryexperience, a relaxation in the minimum eligibility criteria maybe considered Minimum of two years full time post qualification workexperienceFormatWeekend classroomOnlineProgram fees4,25,000 GST2,25,000 GSTFees inclusionsLearning material, tuition fee and LMS accessLOCATIONGURGAONBENGALURUCHENNAISELECTION PROCESS1The faculty panel willreview all the applicationsand shortlist candidatesbased on their profiles.2The shortlisted candidateswill then be going througha telephonic interviewround which will then bereviewed.3The admissions will beconducted on a rollingbasis and the admissionprocess shall be closedonce the requisite numberof candidates have takenadmission into theprogram.14
PROGRAMPARTNERSGreat Learning’s mission is to make professionals proficientand future-ready. Its programs always focus on the next frontierof growth in industry and currently straddle across Analytics,Data Science, Big Data, Machine Learning, Artificial Intelligence, Deep Learning, Cloud Computing and more. GreatLearning uses technology, high-quality content, and industrycollaboration to deliver an immersive learning experience thathelps candidates learn, apply, and demonstrate their competencies. All programs are offered in collaboration with leadingglobal universities and are taken by thousands of professionalsevery year to secure and grow their careers.Great Lakes is India’s leading business school with campuses inChennai and Gurgaon. Led by exceptional faculty and steeredby an outstanding advisory council, Great Lakes is rankedamongst India’s top 10 business schools and is ranked as thebest in the country when it comes to learning analytics. Learning Analytics from Great Lakes ensures you get the industrycredibility and acceptance as you look to build your career.The University of Texas at Austin’s McCombs School ofBusiness is ranked Second for its Master of Science in BusinessAnalytics (MSBA) degree in 2018. McCombs is a premier business school at a worldclass public research university. It cultivates principled leaders and develop ideas through high-qualityinstruction, experiential learning, and the pursuit of relevant,groundbreaking research, shaping those who will shape tomorrow and solve the most challenging problems.15
CONTACT ba
Operations, Great Lakes Ph.D (Madras University), MBA (FMS Delhi) Dr. Kumar Muthuraman University Distinguished Teaching Professor - McCombs School of Business, University of Texas at Austin Director, Center for Research and Analytics, H. Timothy (Tim) Harkins Centennial Professor, University Ph.D. - Stanford University Dr. Srabashi Basu
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Virginia Tech Graduate School supports Interdisciplinary Graduate Education Programs (IGEPs) to promote and sustain graduate education and research across fields, programs, colleges, and campuses. More than 300 graduate students currently participate in the 14 Graduate School-supported IGEPs. Each IGEP addresses a major fundamental problem or
