Programmes
Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is poorly utilized. Many organizations therefore miss out on potent competitive strategies.
Analytics has been successfully used for identifying a firm’s most profitable customers, deciding on the best offer price for a product, accelerating product innovations, optimizing supply chains, identifying key drivers of financial performance etc. Leading organizations in India and abroad have benefitted greatly by leveraging the power of analytics. Competence in analytics has become a critical skill for managers of new age business organizations.
This executive long distance programme (with a residential component at IIMA) would be divided into modules covering among other topics Statistical Modeling, Machine Learning, Financial Analytics, Marketing Analytics, Human Resources Analytics and Operations Analytics. The overall value gained at the end of the programme is expected to build a solid foundation of business analytics.
Duration: 6 to 8 months
Frequency: Once in a week.
Class Schedule: Every Tuesday 18:45 pm – 21:45 pm
Delivery: Through Classes at Hughes Global Education, using synchronous Learning Technology platform. In addition, there will be two mandatory on-campus components at IIMA.
Evaluation by: IIM Ahmedabad
Evaluation Structure:
Evaluation Mode: Evaluation may also include one or more of the following:
Online Assessment/Case Study Discussions/Quiz/Assignments/Offline Assessment (Paper-pencil test)/ Project component / Class Participation. The final decision on evaluation methods rests with the course faculty and may change without prior intimation
Certification: Certificate from IIM Ahmedabad
Please visit the following link for more details on the programme:
With the increasing information that each organization holds it becomes equally important to utilize the information optimally. So analytics essentially becomes the tool every organization harnesses to come up with potent strategies in the wake of a number driven market. Therefore, identifying clients, optimizing supply chain management, deciding the offer price for a product, and identifying the key factors driving financial performance which are the basis of comprehending analytics become factors lending better competency to organizations.
Programme USP
Programme Benefits
Exclusively Designed Programme:
Pedagogy: The teaching approach will be highly interactive using the technological capabilities of the channel. The pedagogy followed for the programme will consist of a blend of lectures, case studies, online lectures, projects, peer to peer learning, self-learning, role play and simulations. Mentoring by faculty and access to learning resources of IIMA will also be made available. There will be three campus components held at IIMA. HGEIL will ensure uninterrupted technical support in conducting online classes, attendance, quizzes, etc.
Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is poorly utilized. Many organizations therefore miss out on potent competitive strategies.
Analytics has been successfully used for identifying a firm’s most profitable customers, deciding on the best offer price for a product, accelerating product innovations, optimizing supply chains, identifying key drivers of financial performance etc. Leading organizations in India and abroad have benefitted greatly by leveraging the power of analytics. Competence in analytics has become a critical skill for managers of new age business organizations.
This executive long distance programme (with a residential component at IIMA) would be divided into modules covering among other topics Statistical Modeling, Machine Learning, Financial Analytics, Marketing Analytics, Human Resources Analytics and Operations Analytics. The overall value gained at the end of the programme is expected to build a solid foundation of business analytics.
Duration: 6 to 8 months
Frequency: Once in a week.
Class Schedule: Every Tuesday 18:45 pm – 21:45 pm
Delivery: Through Classes at Hughes Global Education, using synchronous Learning Technology platform. In addition, there will be two mandatory on-campus components at IIMA.
Evaluation by: IIM Ahmedabad
Evaluation Structure:
Evaluation Mode: Evaluation may also include one or more of the following:
Online Assessment/Case Study Discussions/Quiz/Assignments/Offline Assessment (Paper-pencil test)/ Project component / Class Participation. The final decision on evaluation methods rests with the course faculty and may change without prior intimation
Certification: Certificate from IIM Ahmedabad
Please visit the following link for more details on the programme:
With the increasing information that each organization holds it becomes equally important to utilize the information optimally. So analytics essentially becomes the tool every organization harnesses to come up with potent strategies in the wake of a number driven market. Therefore, identifying clients, optimizing supply chain management, deciding the offer price for a product, and identifying the key factors driving financial performance which are the basis of comprehending analytics become factors lending better competency to organizations.
Programme USP
Programme Benefits
Exclusively Designed Programme:
Pedagogy: The teaching approach will be highly interactive using the technological capabilities of the channel. The pedagogy followed for the programme will consist of a blend of lectures, case studies, online lectures, projects, peer to peer learning, self-learning, role play and simulations. Mentoring by faculty and access to learning resources of IIMA will also be made available. There will be three campus components held at IIMA. HGEIL will ensure uninterrupted technical support in conducting online classes, attendance, quizzes, etc.
Dates
26 Aug 2019
to
25 Feb 2020
Duration
184 Days
Programme
Fees
INR 3,42,150
Plus 18% GST
Application Deadline
20 Jul 2019
Registration closed