IIT Bombay - Advanced Certificate Program in Business Analytics

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.

>>Program Impact & Benefits

The Advanced Certificate Program in Business Analytics will build the students’ problem structuring, decision analysis, and systems modelling skills. Experienced faculty and researchers in the areas of strategy support, systems analysis, and business decision making will equip students for a career in Management Consultancy or as a Business Analyst.

The programme will empower participants to choose from a variety of careers, many with blue chips. They would be highly employable with an in depth understanding of both the theoretical & practical knowledge

Key Benefits for Individuals

Professional development and network building
Flexibility: through part-time study and On-the job learning
Career Prospects: Analyst, Consultant, Researcher, Developer - Likely to be sought after by consultancies, blue chips, and government

Key Benefits for Corporate

Key staff development and retention
Multiple company based projects with business impact
Audience:

The Program is perfectly suited for individuals working on large, highly visible projects that are designed to meet very complex business needs.

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.

>> Eligibility

Professionals with minimum 50% marks in Graduation

>> Pedagogy

The pedagogy will be highly interactive. It will leverage use of technology. It will consist of a judicious blend of lectures, real life case studies, live corporate examples, general discussions and assignments. In order to provide greater industry insights, business leaders from the different industries would be invited to share their experiences

Assessment and Evaluation:

The respective course instructor will evaluate each course on a continuous basis. Candidates successfully completing the program will get a completion certificate from IIT, Bombay.

>> Program Delivery

The sessions will be delivered on Hughes HughesNet Global Education interactive learning platform. The heart of the platform is a powerful user interface that enables large number of geographically distributed students to have a highly interactive ‘one to one’/ ‘one to many’ exchange with a central faculty. The system incorporates live broadcast video; two way audio and data interactivity to enable the students to watch and interact with the faculty live on their PC’s. The Classrooms could be HughesNet Global Education Class-rooms, HughesNet Fusion Class-rooms, and HughesNet Direct to Corporate Class-rooms.

>> 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

Program Structure:

Spread over 40 weeks and conveniently spaced, the Advanced Certificate Program in Business Analytics focuses on enterprise analysis and requirements analysis, documentation and implementation. Participants learn the ins and outs of the data modeling, the power of entity relationship diagramming and best practice in system design, solution implementation and impact communication. Finally, SJM SOM keeps it real with an authentic simulation that provides a "reenactment" of a true-to-life emergency business scenario. Taught over the ground breaking Interactive Onsite Learning Technology, it helps participants to attend lectures without compromising their daily routine and at the ease of their own locations.

>> Duration

One year

>> Schedule

Sundays 3 pm to 6 pm

>> Course Content

Part 1: Introduction to Analytics - 22 sessions

IOL: 17 sessions
Assessments: 5 sessions
Campus: 3 days

1. 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

2. 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

3. 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

4. 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

5. Segmentation Methods – 4 sessions (12) + 1 session assessment
· Cluster Analysis
· Factor Analysis
· Discriminant Methods

o What is Response-Based Segmentation?
o Comparison of Discriminant and Logistic Regression
o Recommendations
o What to look for in Discriminant Analysis
o Stepwise Results
o Gains Tables and Charts

· CHAID

o What is CHAID?
o What to look for When Running CHAID?
o Principles and Considerations
o Exhaustive CHAID
o Bonferroni Adjustments
o Variable Types
o Recommendations

6. Computational Languages and Techniques – 2 days at Campus

Part 2: Advanced Analytics – 18 sessions

IOL: 14 sessions
Assessments: 4 sessions
Campus: -

1. 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

2. 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

3. 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

4. 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

>> Course Fees

Application Fee Rs.1,500/-
Programme Fee Rs.1,00,000/-
Campus Fee Rs.15,000/- (It includes instruction fees at campus, software usage at campus and materials given at campus)
Registration Fee Rs.2,500/-

Installment Schedule

I - Rs.42500 Date As per offer letter
II - Rs.40000 20th June 2010
III - Rs. 20000 20th September 2010

Campus Fees of Rs.15000 is payable separately, direct to SJM SOM – IIT Bombay

For more details, please contact:
Darshana Vyas
Admission Coordinator - IIM Calcutta's EPHRM Program
Creative Crest
16 Pashchimi Marg
Vasant Vihar
New Delhi 110 057
Phone: 011-46076571 or 09268730013
iit@indialearn.com