Advanced Certificate Program in Business Analytics
  • About
  • Fees Structure
  • Course Content
  • Objectives
  • Certification
  • Apply Now
About The Program
Trained, competent professionals in Analytics, Research, and Management are very much in demand. Analytics has become a major driving force and is closely aligned with the core competency for most of the industries today. Its impact on management has created a demand for an entirely new array of leaders. These emerging knowledge leaders must be able to effectively and efficiently guide their organizations into the future, uninhibited by continuing technical advancements and the increasing reliance on analytics and research to remain competitive in business.
Jointly designed by the Shailesh J Mehta School Of Management at IIT Bombay, one of the country’s finest and foremost business school, and HughesNet Global Education, Indian’s premier corporate management development institution, the program is spread over one year and covers both the theoretical and practical aspects of the discipline. Industry experts also contribute to the course by giving lectures and presenting real-life consultancy projects. Completing the programme will ensure that the participant demonstrates to their potential or current employer that they understand and appreciate the various approaches of analytics to deliver real benefits.
Schedule & Duration
Duration
  • One year
Important Dates
  • Application Closure Date 15th June 2010
  • Date of 1st Installment As per offer letter
  • Date for 1st Class (on IOL) 20th June 2010
Who Should Attend
Professionals with minimum 50% marks in Graduation
Programme Fees
 For Indian Students
Application Fee Rs.1, 500/-
Programme Fee Rs.1, 00, 000/-
Registration Fee Rs.2, 500/-
Campus Fee Rs.15,000/-
Total Fee Rs.1, 02, 500/-
  • Campus Fee includes instruction fees at campus, software usage at campus, fees for study materials given at campus and examination fees.
  • Campus fees will be payable by student directly to “The Registrar, IIT Bombay (CEP A/C)”.
  • Campus visit will be for 3 days. Boarding and lodging will be as per actual.
Installment Details
Installment Date Amount INR Amount USD
Course Details
Part 1: Introduction to Analytics - 22 sessions
  • IOL: 17 sessions (51 hours)
  • Assessments: 5 sessions
  • Campus: 3 days
Introduction to Statistics & Econometrics – 4 sessions (12) + 1 session assessment
  • Basic Probability Theory
  • Probability Theory
  • Conditional Probability And Bayes’ Theorem
  • Random Variables
  • Density And Distribution Function
  • Joint, Marginal And Conditional Distribution
  • Moment Generating Function
  • Law Of Large Numbers And Central Limit Theorem
  • Theory Of Estimation And Statistical Inference
  • Point And Interval Estimation
  • Maximum Likelihood And Method Of Moment Estimation
  • Hypothesis Testing
  • Types And Size Of Error
  • Power Of A Test
Regression – 3 sessions (9) + 1 session assessment
  • Regression Analysis
  • Econometric Models
  • Simple Linear Regression Model
  • General And Confidence Approach To Hypothesis Testing
  • Logistic Regression
  • What to look for in Logistic Regression
  • Comparison of Discriminant and Logistic Regression
    • Extending The Regression Analysis
    • Goodness Of Fit
    • Model Evaluation
    • Relaxation Of Assumptions In Regression Model
    • Consequences And Remedial Measures
    Time Series Analysis – 4 sessions (12) + 1 session assessment
    • Introduction to Time Series Analysis
    • Autocorrelation and partial autocorrelation
    • Conditions for stationary and invertible process
    • Box-Jenkins approach
    • Models for Stationary Time Series
    • Auto Regressive Processes
    • Moving average models
    • ARMA Models
    • Modeling & Forecasting with ARMA Models
    Panel Data Econometrics – 2 sessions (6) + 1 session assessment
      • Static Panel Data Models
      • Fixed effects, Random effects, Random coefficients
      • Dynamic Panel Data Models
      • Models with lagged dependent variable, Estimation,
      • Simultaneous equation panel data models,
      • Generalised method of moment estimation
      Segmentation Methods– 4 sessions (12) + 1 session assessment
      • Cluster Analysis
      • Factor Analysis
      • Discriminant Methods
      • What is Response-Based Segmentation?
      • Comparison of Discriminant and Logistic Regression
      • Recommendations
      • What to look for in Discriminant Analysis
      • Stepwise Results
      • Gains Tables and Charts
      • CHAID
      • What is CHAID?
      • What to look for When Running CHAID?
      • Principles and Considerations
      • Exhaustive CHAID
      • Bonferroni Adjustments
      • Variable Types
      • Recommendations
      Computational Languages and Techniques – 2 days at Campus
    PART2: Advanced Analytics – 18 sessions
    • IOL: 14 sessions (42 hours)
    • Assessments: 4 sessions
    • Campus: -
    Artificial Neural Networks – 4 sessions (12) + 1 session assessment
    • Architecture - Introduction to neural networks & their history, Biological neurons and neural networks; Artificial neurons, Networks of artificial neurons.
    • Data Processing - Ordinal models, Multinomial models, and Nested models
    • Back Propagation - Back propagation, Learning in multi-layer perceptrons, Learning with momentum, Conjugate gradient learning.
    • Performance Management - Bias and variance, under-fitting and over-fitting, Improving generalisation
    Advances in Time-Series – 4 sessions (12) + 1 session assessment
    • Non stationary Time Series
    • Auto Regressive Integrated Moving Average Process
    • Random Walk
    • Unit Root, Testing For Unit Root
    • Co-integration
    • Error Correction Model
    • Forecasting
    • Models of Volatility
    • Volatility Clustering
    • Leverage Effect
    • ARCH Model
    • GARCH Model & Its Various Extension
    • Multivariate GARCH Modeling
    • Forecasting
    Advances in Applied Econometrics – 4 sessions (12) + 1 session assessment
    • Discrete Choice Models
    • Introduction to binary variables, Probit and Logit Models, Censored versus truncation
    • Models with More than Two Choices Ordinal models, Multinomial models, and Nested models
    • Count Data Models and Financial Data
    • Poisson distribution, Binomial and negative binomial distribution
    • Applications: Number of takeover bids, credit history of individual card applicants, state of holding a mortgage, default probability calculation
    • Markov Models
    Advanced Techniques – Analysis, Boosting, Bagging, Bootstrapping – 2 sessions (6) + 1 session assessment
    • Introduction - Bootstrap, Estimation of standard error, Parametric bootstraps, Number of bootstrap replications
    • Application - Application of bootstrap, bootstrap pairs, bootstrap residuals, examples, confidence intervals
    • based on bootstrap


Objectives
The program has been designed for those who are new to business analysis and who work with business analysts, including application developers, systems analysts, business managers, and anyone involved in solution development. For analysts who need to develop the skills and competencies and desire an in-depth understanding and grasp of key techniques such as behavior and data modeling, this program takes the practitioners to the next level.
Certification
Upon successfully completing the prescribed requirements, students will be awarded an Advanced Certificate in Business Analytics from Shailesh J Mehta School Of Management, Indian Institute of Technology Bombay.
Online Registration Form/Online Payment
Important, Please Note: Before filling up the online Application Form please ensure that you follow the checklist below and have all necessary details & documents on hand:
  • 1.) You will see a short registration form, which will ask for some details. Please fill up these details as a first step. Once you complete the same you will get an email, confirming your login and password. Please maintain this for future login.
  • 2.) Once you have filled in and saved the Online Registration form. Please proceed for the payment.
  • 3.) Select Online check box and click on pay now.
  • 4.) Fill in your card details. (You can use any credit card or the ICICI debit card for the payment).
  • 5.) Once your Online Registration form and payment has been done successfully, you will receive an email confirming your payment and transaction id.
  • 6.) Follow the “Application Submission Process “. Scroll Down.
  • For any queries/Problem during any step please write to lms@hughes.in or call us at 0124-3048770.
Online Registration Form/offline payment
Important, Please Note: In case payment of Application Fee is being made through Demand Draft. Please ensure that you have the DD number and DD date in hand.
  • 1.) Fill the registration form and proceed for payment.
  • 2.) Select offline check box and fill the DD details.
  • 3.) Fill Yes/No in the “Submitted to the centre” .
  • 4.) Click on Save Button.
  • 5.) Mention your LMS reference number ( Ex: HNGE- 012345), Name, Course name at back side of the DD and submit it to the centre or in case you are applying directly through our website kindly send the same to the below mentioned address for the approval. DD should be in favour of
  • “Hughes Communications India Ltd.” Academic Administrator Hughes Communications India Ltd. Electronic City, Sector – 18 Gurgaon – 122015 Ph: 0124-3072500
  • 6.) Once the offline payment is approved you will receive a mail confirmation mail towards your payment received .On receiving the same follow the “Application Submission Process”.
Application Submission Process
  • 1.) Login to LMS system with help of your Login Code and Password (i.e. created during Online Registration Form) through following link for filling up the online application..
    • LMS or access the same from LMS tab on the website.
  • 2.) Click application form link, fill the same and submit..
  • 3.) Take the print out of application form at the same time..
IMPORTANT, PLEASE NOTE
Follow the checklist below and have all necessary details. Attach the hardcopy of the documents along with application form. The Application Checklist is to be attached on top of the Application Form along with all requisite documents.

4.) Please submit the hardcopy of the application form to the centre along with the attached documents. In case you are applying directly, kindly send your application form along with the attached documents to the below mentioned address.
Academic Administrator Hughes Communications India Ltd. Electronic City, Sector – 18 Gurgaon – 122015 Ph: 0124-3072500
5.) Envelope containing Application Form and documents should be super scribed with “Institute – Program Name”
  • Incomplete application or False Information in the application is liable to be rejected.checklist